Original Research ARTICLE
Mechanisms Associated with an Advance in the Timing of Seasonal Reproduction in an Urban Songbird
- 1Department of Biology, Indiana University, Bloomington, IN, United States
- 2Department of Biological Sciences and Environmental and Conservation Sciences Program, North Dakota State University, Fargo, ND, United States
- 3The Roslin Institute, The Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, United Kingdom
- 4Museo Nacional de Ciencias Naturales (CSIC), Madrid, Spain
- 5Fort Collins Science Center, US Geological Survey, Fort Collins, CO, United States
The colonization of urban environments by animals is often accompanied by earlier breeding and associated changes in seasonal schedules. Accelerated timing of seasonal reproduction in derived urban populations is a potential cause of evolutionary divergence from ancestral populations if differences in physiological processes that regulate reproductive timing become fixed over time. We compared reproductive development in free-living and captive male dark-eyed juncos deriving from a population that recently colonized a city (~35 years) and ceased migrating to that of conspecifics that live in sympatry with the urban population during winter and spring but migrate elsewhere to breed. We predicted that the earlier breeding sedentary urban birds would exhibit accelerated reproductive development in the spring along the hypothalamic-pituitary-gonadal (HPG) axis as compared to migrants. We found that free-living sedentary urban and migrant juncos differed at the level of the pituitary when measured as baseline luteinizing hormone (LH) levels, but not in increased LH when challenged with Gonadotropin-Releasing Hormone (GnRH). Among captives held in a common garden, and at the level of the gonad, we found that sedentary urban birds produced more testosterone in response to GnRH than migrants living in the same common environment, suggesting greater gonadal sensitivity in the derived urban population. Greater gonadal sensitivity could arise from greater upstream activation by LH or FSH or from reduced suppression of gonadal development by the adrenal axis. We compared abundance of gonadal transcripts for LH receptor (LHR), follicle stimulating hormone receptor (FSHR), glucocorticoid receptor (GR), and mineralocorticoid receptor (MR) in the common-garden, predicting either more abundant transcripts for LHR and FSHR or fewer transcripts for GR and MR in the earlier breeding sedentary urban breeders, as compared to the migrants. We found no difference in the expression of these genes. Together these data suggest that advanced timing of reproduction in a recently derived urban population is facilitated by earlier increase in upstream baseline activity of the HPG and earlier release from gonadal suppression by yet-to-be-discovered mechanisms. Evolutionarily, our results suggest that potential for gene flow between seasonally sympatric populations may be limited due to urban-induced advances in the timing of reproduction and resulting allochrony with ancestral forms.
Over the past several centuries, urban landscapes have replaced native habitat in many parts of the world (Marzluff, 2016; Alberti et al., 2017). Urban environments can differ from the environments they replace in many ways, and while human activity in urban areas can pose novel challenges to animals (Shanahan et al., 2014), relatively mild urban microclimates and enhanced resource availability can also lead to increased opportunities to reproduce (Deviche and Davies, 2013).
A common observation is that urban bird populations begin their breeding season earlier compared to rural populations (Deviche and Davies, 2013). Seasonal fluctuations in climate and resource availability are often reduced in urban environments, which can lead to longer breeding seasons and year-round occupancy by formerly migratory lineages (Adriaensen and Dhondt, 1990; Partecke and Gwinner, 2007; Chamberlain et al., 2009; Atwell et al., 2014). If the physiological processes that lead to differences between urban and rural populations in reproductive timing and other seasonal traits become fixed over time, then gene flow and interbreeding could be limited (Evans et al., 2010; Fudickar et al., 2016a).
Though it is clear that urbanization can advance timing of reproduction, relatively little is known about the sources of variation in reproductive physiology that modulate the advancement or extension of breeding. The hypothalamic-pituitary-gonadal (HPG) axis plays a central role in the seasonal regulation of reproduction in birds (Dawson, 2015; Figure 1). The timing and rate of the seasonal activation of the HPG is modulated by a combination of predictive (day length) and supplementary cues (e.g., food and temperature; Hahn et al., 2005; Schaper et al., 2012; Wingfield et al., 2012; Dawson, 2015; Watts et al., 2015). Advancement in breeding phenology in urban habitats, therefore, may result from a plastic response to the novel habitat by phenotypically flexible individuals and/or a genetic response to selection for earlier seasonal activation of the HPG. Whether or not differences in timing are fixed or flexible may have important evolutionary implications. For example, if advanced reproduction in urban populations is the result of selection for greater sensitivity of the HPG at shorter day lengths—either by an earlier seasonal response or responding at a faster rate—then the resulting reproductive allochrony (asynchronous reproduction) may limit gene flow between urban and rural populations, ultimately leading to selection against hybrids. Alternatively, if advanced timing in urban populations is modulated by plastic responses, then the scope for divergence may be limited, as immigrants would be capable of adopting the timing of established urban populations. These alternatives also have important implications for the adaptability of both urban and rural populations to cope with future environmental change.
Figure 1. Simplified HPG axis. GnRH released by the hypothalamus reaches the anterior pituitary where it stimulates production and release of FSH and LH which enter the general circulation. When LH and FSH bind to receptors on the testes (FSHR and LHR) in early spring, testes grow and increase testosterone production.
To date, there is limited evidence from studies that have compared the endocrine axes of urban vs. nearby rural populations in both field and common garden settings to support the importance of both plasticity and genetics in modulating earlier reproduction and HPG activation in urban habitats (Partecke et al., 2004, 2006; Schoech, 2009; Atwell et al., 2014; Davies et al., 2015). While these studies highlight the importance of differential HPG activity in facilitating earlier and extended breeding in urban habitats, much remains to be learned about the generality of those results, as well as the specific mechanistic sources of variation across the many “levels” of the HPG axis. Additionally, one interpretive challenge with such prior studies is that they typically sample putatively related populations that inhabit nearby yet radically different urban vs. rural habitats during the sampling period. In our study, we utilized both field and common garden settings to probe multiple levels of HPG activity in both urban-breeding and migratory non-resident populations during a critical life-history stage in which they co-occur in urban habitats, yet pursue divergent seasonal strategies.
Heteropatry—where closely related populations coexist during the non-breeding season (e.g., fall, winter, and /or early spring) yet pursue independent phenological and geographical trajectories during breeding—provides a unique opportunity to address the physiological mechanisms that underlie reproductive timing differences between populations (Winker, 2010; Ketterson et al., 2015; Bauer et al., 2016; Fudickar et al., 2016a,b; Greives et al., 2016; Ramenofsky et al., 2017). Broadly distributed avian species often have heteropatric distributions, in which some populations migrate while others do not (Winker, 2010). Despite experiencing the same photoperiodic and supplementary cues for much of the annual cycle (e.g., from the time that migrants arrive in the fall until they depart in the spring), there is often distinct phenological divergence in spring, when sedentary individuals transition into breeding, while migrants delay reproduction and prepare for and complete a migration before breeding. As a result, closely related sedentary and migratory birds are effectively sympatric during the non-breeding season as well as the transitional periods between non-breeding and breeding, yet are entirely allopatric during the core breeding season. In the current study, we compared specific neuroendocrine mechanisms predicted to underlie reproductive timing differences between a recently established (~35 years) urban population of juncos vs. heteropatric ancestral migrant juncos, under both free-living (field) and common-garden (captive) conditions.
This study focused on a population of dark-eyed juncos (J. hyemalis thurberi) that became established in urban San Diego CA USA in the early 1980s, likely as a result of overwintering migratory birds remaining to breed (Rasner et al., 2004; Yeh, 2004; Atwell et al., 2012, 2014). Since then, an isolated sedentary urban breeding population has persisted with limited subsequent immigration despite a sympatric distribution with migratory juncos between October and April (Yeh and Price, 2004; Unitt, 2005). The colonization event and current heteropatric distribution thus provides a unique opportunity to examine mechanisms associated with contemporary adaptation to an urban environment. Although the precise breeding location of the migrants is not known, previous studies have shown that first egg laying dates in the San Diego population are ~2.5 months earlier than the closest non-urban populations (Yeh and Price, 2004; Atwell et al., 2014). A recent study, in which juncos from San Diego and the closest non-urban breeding population (~50 km) were captured on their respective breeding grounds as juveniles and observed in a common-garden experiment, found that population differences in the seasonal timing of mean peak HPG activity (plasma testosterone and post Gonadotropin-Releasing Hormone (GnRH) challenge testosterone) observed in the wild did not persist in the common garden (Atwell et al., 2014), which suggests a degree of flexibility in reproductive timing in both populations.
Here, we asked whether differences in the timing of the seasonal onset of reproduction between heteropatric sedentary urban and migratory juncos result from differential activation of the HPG in early spring and whether any difference is linked to differences in sensitivity to day length. While Atwell et al. (2014) compared the duration and peak timing of HPG activity of sedentary urban juncos from San Diego with that of the closest non-urban population, in the current study we focused on a comparison of sedentary urban breeders with migrants that are sympatric during winter and early spring. Based on previous reports indicating that winter flocks of juncos consist of migrants from a range of breeding populations (Fudickar et al., 2016a; J. Atwell personal observations), we expected that migrant juncos in San Diego would originate from multiple breeding populations.
First, we compared free-living sedentary urban and migratory juncos on their shared overwintering grounds in February for responsiveness of the HPG endocrine axis—specifically the response of the pituitary gland to repeated GnRH stimulation. By repeatedly injecting birds with GnRH, our aim was to more accurately replicate the pulsatile nature of GnRH that occurs naturally in spring. By measuring luteinizing hormone (LH) following repeated injections of GnRH, we assessed the potential for variation in pituitary sensitivity to modulate differential HPG axis activity in resident vs. migrant cohorts during the period when their observed seasonal strategies diverge, despite exposure to identical environmental conditions. We have previously demonstrated in longer diverged (~15,000 years) overwintering juncos that pituitary sensitivity to repeated GnRH injection may serve to functionally limit HPG axis activation in female, but not male migrants (Greives et al., 2016). The hypothesis to be tested here was whether migrant birds have a weaker response to GnRH as would be predicted if reduced pituitary sensitivity to repeated GnRH acts as a mechanism to delay reproduction in birds that will forego breeding in the urban environment and migrate prior to reproduction.
Next, we measured morphological and physiological correlates of reproductive development across 4 weeks in early spring in sedentary urban and migrant junco males held in a captive common-garden experiment that simulated natural photoperiod (during the same early spring period), and provided ad libitum food, mild temperatures, and reduced social interactions. If the seasonal timing of reproduction in sedentary urban juncos is advanced due to increased sensitivity to photoperiodic cues in early spring, we predicted that timing of gonadal development and endocrine profiles of urban-breeding and migrant juncos should remain divergent. In contrast, if the seasonal timing of reproduction differs in sedentary urban and migrant juncos due to flexible responses to the environment, we predicted convergence of seasonal timing of gonadal development and endocrine profiles in captivity. We limited our study to male juncos because, in captivity, females do not advance into reproduction in the spring as readily as males (E.K., personal observation).
Finally, we compared gonadal transcript abundance of LH receptor (LHR), follicle stimulating hormone receptor (FSHR), glucocorticoid receptor (GR), and mineralocorticoid receptor (MR) of sedentary urban and migrant juncos in early spring. LHR and FSHR are important for seasonal gonadal growth in birds, and GR and MR can suppress gonadal growth and activation in birds (McGuire et al., 2013; Blas, 2015; Vizcarra et al., 2015). Therefore, we predicted higher LHR and FSHR transcript abundance in sedentary urban juncos in early spring and higher GR and/or MR transcript abundance in migrant juncos in early spring.
We interpret our collective results in the context of both the proximate mechanisms underlying phenotypic divergence in reproductive timing, as well as the ultimate factors and evolutionary implications associated with the observed physiological divergences and convergences.
Capture and Morphological Measures
Thirty-seven male juncos were captured in the urban habitat of the University of California-San Diego (UCSD) campus in La Jolla, California, USA, using continuously monitored walk-in traps baited with seed. Birds in the field study were classified post hoc as sedentary urban breeders or migrants using a combination of morphological measures and stable isotopes in feather tissue (hydrogen; details below). We collected the outermost secondary feather from each bird's right wing during handling to examine stable hydrogen (δ2H) signatures. Using calipers, we measured the length of the right tarsus (± 0.1 mm). Using a ruler, we measured the length of the right wing (flattened) and the tail (± 0.5 mm). Previous studies have reported that juncos that breed in San Diego have reduced white on their tail feathers and black on their heads compared to rural migratory populations (Yeh, 2004; Atwell et al., 2014). We visually estimated the percentage of white in the four outermost right tail feathers of each bird at capture. Using calipers, we measured (a) the length of the entire hood from the bill to the ventral terminus and (b) the length from the bill to the ventral terminus of homogenous black feathers. Age class was determined based on wing plumage as juncos have a limited first prebasic molt, making it possible to distinguish between first-year and after-first-year birds (Nolan, 2002). Capture dates were from 13 February to 23 February 2014, ~4 weeks prior to the historical first egg date in the resident population, and roughly 2–3 weeks prior to the apparent peak of migrant passage through southern California (J.W. Atwell personal observation). All individuals received a unique numbered metal band to avoid repeat sampling. All procedures were approved by the Indiana University, North Dakota State University, and University of California San Diego Institutional Animal Care and Use Committees and conducted under appropriate federal banding permits (permit #20261) and the California Department of Fish and Wildlife (permit #007852).
Blood Sample Collection—Field
Immediately after capture, a 50 μl blood sample was obtained from the alar wing vein for baseline measures of LH. The birds then received an intramuscular injection of 1.25 μg chicken GnRH (American Peptide, Sunnyvale, CA) in 50 μl of phosphate-buffered saline into the pectoralis muscle. This dose fully activates the HPG axis in this species (Jawor et al., 2006). Five minutes following the first GnRH injection, a second 50 μl blood sample was taken from the wing vein for LH. Previous work in this species and white-crowned sparrows (Zonotrichia leucophrys gambelii) indicated LH levels reach a peak 5 min following injection and then significantly decline by 20 min and return to baseline at 30 min (Wingfield et al., 1979; Bergeon Burns et al., 2014). The birds then received a second injection of GnRH (same dose as above) 30 min after the first injection, followed by a third injection of GnRH (same dose as above) 30 min following the second injection. A final 50 μl blood sample was collected 5 min following the third injection of GnRH (65 min after the first GnRH injection). All birds were held in an opaque paper bag between injections. Blood samples were stored on ice until later processing in the laboratory. Samples were centrifuged to separate red blood cells from plasma. Plasma was collected with a Hamilton syringe and stored at −20°C until it was shipped on dry ice to The Roslin Institute, The University of Edinburgh for LH quantification.
Luteinizing Hormone Assay
To determine plasma LH, we used a micromodification of the radioimmunoassay described previously (Sharp et al., 1987). Briefly, the assay reaction volume was 60 μl, comprised of 20 μl of plasma sample or standard, 20 μl of primary rabbit LH antibody, and 20 μl of I125-labeled LH. The primary antibody was precipitated to separate free and bound I125 label using 20 μl of donkey anti-rabbit precipitating serum and 20 μl of non-immune rabbit serum. All samples were measured in duplicate in a single assay. The intra-assay coefficient of variation was 2.9% and the minimum detectable dose was 0.2 ng/ml. This LH radioimmunoassay has been used extensively in many avian species including dark-eyed juncos (Deviche et al., 2000; Meddle et al., 2002; Wingfield et al., 2012; Bergeon Burns et al., 2014; Greives et al., 2016).
Common Garden Study
Bird Capture and Housing
From December 13 to 18, 2014 we captured 30 male juncos (population of origin classification details described above) from the UCSD campus using baited walk-in traps. After capture, we collected the outermost secondary feather from each bird's right wing and measured plumage and morphological traits as we did for the field study for post hoc classification of sedentary urban and migrant individuals. We housed all birds for 1–6 days (depending on capture date) in cages in an indoor facility with natural sunlight, where they were provided food (2:1 mixture of white millet and cracked corn) and water ad libitum. On December 19, 2014 the birds were transported overnight by air to Indiana University. At Indiana University, all birds were held together in a climate controlled free flight aviary (6.4 × 3.2 × 2.4 m) and were provided with water containing Nekton-S Multi-Vitamin for Birds (Arcata Pet, Arcata, CA) and food ad libitum. Birds were fed a seed mix containing white millet and sunflower chips (2:1), live mealworms, orange slices, and a soft diet containing ground puppy chow, hard-boiled eggs, and carrots. We adjusted lights in the aviary every 3 ± 1 days to simulate the natural seasonal changes in day length in San Diego. Throughout the experiment, the temperature in the aviary was maintained at 16 ± 2°C.
On 29 January 2015, we individually housed the birds in 61 × 46 × 46-cm cages and separated them into 5 identical indoor aviary rooms (2.5 × 2.1 × 2.4 m). In each room, we arranged cages so that birds were visually isolated from each other. All procedures were approved by the Indiana University and University of California San Diego Institutional Animal Care and Use Committees and conducted under appropriate scientific collecting permits issued by the USFWS (permit #MB093279) and the California Department of Fish and Wildlife (permit #007852).
Blood Sample Collection—Captivity
We collected blood samples (~150 μl) from each bird every 6 or 7 days from February 26 to March 20 2015 to measure baseline plasma corticosterone (CORT), initial plasma testosterone, and plasma testosterone in response to a standardized GnRH challenge protocol (testosterone post-GnRH). The GnRH challenge protocol involves collecting a blood sample 30 min after an intramuscular injection of GnRH, which is administered following the initial blood sample. This assay allows for a robust and repeatable measure of an individual male's ability to produce testosterone in response to a standardized physiological stimulus and is known to vary seasonally in relation to reproductive development in juncos (Jawor et al., 2006). Blood samples for CORT were always collected within 3 min of entering a room (range = 1 min 30 s to 3 min; average = 2 min 41 s), and rooms were entered only once per sampling day. Blood samples for plasma testosterone were collected immediately following sampling for CORT and were always taken within 5 min of entering a room. Exactly 5 min after entering a room, we injected birds with 1.25 μg chicken GnRH (American Peptide, Sunnyvale, CA) in 50 μl of phosphate-buffered saline. Thirty minutes after each injection, we collected a second blood sample (~75 μl) to assess an individual male's potential maximum testosterone. Samples were kept at 4°C until they were centrifuged (within 4 h). After centrifugation, we collected plasma using a Hamilton syringe, and plasma and red blood cells were frozen at −20°C until they were assayed.
Each sampling day, after the last blood sample was collected from an individual, we measured subcutaneous fat and cloacal protuberance volume. Fat varies seasonally in relation to transitions between both (1) wintering and breeding condition (reduced fat) and (2) wintering and pre-migratory condition (increased fat; Clark, 1979). Migration is a metabolically taxing behavior, and migrants use fat as the primary source of fuel during the migratory stage (Jenni and Jenni-Eiermann, 1998). We visually estimated fat score (0–4) for subcutaneous fat deposition in furcular and abdominal regions separately as follows: 0 = no fat present, 1 = trace amounts, 2 = half full, 3 = full, and 4 = bulging. We summed furcular and abdominal fat scores to obtain a total fat score (range 0–8; Fudickar et al., 2016a).
The cloacal protuberance (CP), the terminal part of the passerine ductus deferens, is the primary location of sperm storage, is testosterone sensitive and its seasonally variable size is a reliable measure of breeding condition in male passerines (Wolfson, 1952). Cloacal protuberance volume (V) was estimated by using the formula to calculate the volume of a cylinder [V = (radius)2(height)]. Cloacal width (diameter, w, ±0.1 mm) was measured with dial calipers, and height (h, ±0.5 mm) was measured with a ruler, which allowed us to ensure that our measurement started flush against the body.
To investigate differences in the seasonal timing of gonadal development, at the end of the study (24–25 March 2015), we euthanized birds with an isoflurane overdose and dissected both testes, which were immediately flash frozen on dry ice and transferred to −80°C, where they were stored until they were weighed and we extracted mRNA. To compare testis size among individuals, we measured frozen testis mass of one testis from each bird in the lab using a digital microbalance accurate to ±0.001 g.
Corticosterone and Testosterone Assays
Following established methods for juncos (Jawor et al., 2006), we determined plasma CORT and testosterone concentrations from 10 to 20 μl aliquots, respectively, after a diethyl-ether extraction of steroids using enzyme immunoassays (CORT: 500655, Cayman Chemical; testosterone: ADI-900-065, Enzo Life Sciences). Coefficients of variation of the assays were as follows: CORT: n = 4 plates, intraplate = 5.55 ± 1.8% (mean ± SE), range = 0.22–7.71%; testosterone: n = 8 plates, intraplate = 8.59 ± 0.8% (mean ± SE), range = 5.45–10.85%. Sampling dates were assigned equally across plates.
mRNA Extraction and qPCR
Total RNA was extracted from one testis for each bird using the Trizol method (Invitrogen, Carlsbad, CA). Following spectrophotometry to quantify total RNA, 1 μg RNA was treated with DNAse (Promega, Madison, WI) and underwent reverse-transcription PCR using oligo dT primers and Superscript III reverse transcriptase (Invitrogen, Carlsbad, CA). The resulting cDNA was used as a template for quantitative real-time PCR (qPCR) to measure gene expression of LH receptor (LHR), FSH receptor (FSHR), glucocorticoid receptor (GR), and mineralcorticoid receptor (MR). qPCR reactions were run on a Stratagene MX3000P using PerfeCTa SYBR Green SuperMix (low ROX, Quanta Biosciences, Gaithersburg, MD, USA). We used MxPro software (v.4.10, Agilent, Santa Clara, CA, USA) to analyze gene expression with the comparative Ct method, where abundance of transcripts from individual samples is expressed against a calibrator sample, and normalized against expression of a housekeeping gene (RPL4). RPL4 is one of the most stable housekeeping genes in testes of passerines (Zinzow-Kramer et al., 2014), and its expression did not differ between the sedentary urban and migrant juncos in our study (Mann-Whitney U = 32.50, nurban = 19, nmigrant = 6, p = 0.234 two-tailed). Primer sequences are reported in the Supplementary Material.
Genomic DNA (gDNA) was extracted from red blood cells in the Center for the Integrative Study of Animal Behavior (CISAB) at Indiana University, using IBI Scientific MINI Genomic DNA kits (IB46701). Red blood cells collected during the captive study were used for the DNA extractions. DNA was measured with a Nanodrop spectrophotometer (Take 3).
The outermost (distal) secondary feather from each bird's right wing was collected during handling to examine stable hydrogen isotope (δ2H) signatures. Juncos complete their annual molt cycle before leaving breeding habitats, or retain juvenile wing feathers throughout their first annual cycle (Nolan, 2002). δ2H of these feathers therefore can, in some cases, permit assignment of breeding latitude based on known patterns of isotopic variation in precipitation (Bowen et al., 2005). Feathers were cleaned of oils using a 2:1 chloroform: methanol solution and allowed to air-dry under a fume hood at Indiana University. Approximately 0.50 mg of vane material was clipped from the proximal end of each feather and loaded into 3 × 5 mm pressed silver capsules. The non-exchangeable hydrogen isotope composition was measured by continuous flow isotope ratio mass spectrometry using a Finnigan TC/EA interfaced to a Finnigan DeltaPlus XL mass spectrometer (Thermo Scientific, Bremen, Germany), using established methods at the U.S. Geological Survey Stable Isotope Laboratory in Denver, Colorado (Wunder et al., 2012). δ2H values are reported in per mil notation (‰) relative to V-SMOW, using internal standards (−78 and −172‰, respectively) calibrated to CFS-CHS-BWB (Wassenaar and Hobson, 2003). Benzoic acid (δ2H = −61‰) and IAEA-CH-7 (δ2H = −100‰) were also analyzed within analytical sequences with a precision of < ±4‰.
We took advantage of the genomic data generated in a study running in parallel to the study reported here to confirm the genetic identity of the UCSD resident population as a differentiated group from migrant populations of Junco hyemalis thurberi of California. To do so, we used genotyping-by-sequencing (GBS, Elshire et al., 2011) to obtain the genotypes of 43 J. hyemalis thurberi sampled in the UCSD campus. 32 of these 43 samples were collected at the time of the captive study (30 birds held in the captive study and 2 additional birds caught at the same time) and 11 were collected during previous studies from known breeders at UCSD. Fifty additional samples were collected from individuals from surrounding migratory populations of Junco hyemalis thurberi from California. Specific sampled populations were (sample sizes in parenthesis): UCSD campus (43), Mount Laguna (12), Palomares (7), San Jacinto (8), Santa Barbara (7), Eldorado (8) and Mendocino (8). GBS libraries were prepared and sequenced at Cornell University's Institute for Genomic Diversity, using the restriction enzyme PstI for digestion. Sequencing was carried out in an Illumina HiSeq 2000 platform and resulting reads were trimmed and quality filtered with PRINSEQ (Schmieder and Edwards, 2011). We used the Genome Analysis Toolkit (GATK, McKenna et al., 2010) version 3.6-0 to perform the variant calling after mapping the reads against a Junco draft genome assembled for this purpose with the Burrows-Wheeler Aligner (BWA, Li and Durbin, 2009). We then used VCFTOOLS (Danecek et al., 2011) to retain only highly confident biallelic single nucleotide polymorphisms (SNPs) with a genotyping quality phred score over 70, a minimum allele frequency of 1.5% and per site missing rate lower than 10%. We also implemented a threshold for SNPs showing highly significant deviations from Hardy-Weinberg equilibrium (HWE) with a p-value of 10−4 to filter out false variants arising from the alignment of paralogous loci. The resulting SNP matrix was further filtered to exclude variants potentially under selection with BayeScan (Foll and Gaggiotti, 2008) and for linkage disequilibrium using the package SNPrelate (Zheng, 2012) in R (R_Core_Team, 2015) version 3.2.2 for a final dataset of 23,051 SNPs.
Captive study classification
Using the 23,051 SNP matrix, we ran a STRUCTURE (Pritchard et al., 2000) analysis for two populations (K = 2) to test for differentiation between UCSD residents and the remaining populations of Californian juncos. We ran the analysis five times after running a preliminary analysis to infer the lambda value. The burning was set to 50 K iterations and the analysis ran for an additional 100 K iterations. Two main clusters were identified in all five runs, clearly consistent with a resident group of UCSD breeders and a second cluster encompassing the remaining populations. From the 43 individuals sampled on the UCSD campus, we could confidently assign 37 individuals (those with a posterior assignation probability to either group over 0.9): 8 were clear migrants, 6 of which were collected for the captive study (posterior assignment probability to the UCSD breeders group = 0), while the other 29 were clear residents, 19 of which were collected for the captive study (posterior assignment to the UCSD breeders group ranging from 0.93 to 1). The remaining 6 individuals presented different degrees of admixture, 3 of which were collected for the captive study (posterior assignment to the UCSD breeders group ranging from 0.14 to 0.81). Due to uncertainty in their classification, the 3 individuals were excluded in our comparisons. We were not able to classify 2 additional birds captured for the captive study due to insufficient DNA quality. Final sample size for the captive comparison was 19 sedentary urban birds and 6 migrants. A plot of the STRUCTURE analysis is included in the Supplementary Material.
Field study classification
We did not have genomic data to classify birds used in the field study. To classify birds from the field study, we first ran a discriminant function analysis (DFA) using the morphologic and isotopic data from the birds held in the captive study that were confidently classified individuals based on genomic data (described above). Next, we used the DFA model generated from genotyped birds to classify 35 UCSD campus individuals for which we had morphometric and isotope data but not genomic data, including them as blind cases in the model construction. To inform the DFA model, we used isotope and morphometric data from genotyped birds with sufficient isotope and morphometric data (N = 25, 6 migrants and 19 residents from the captive study) to run a DFA in SPSS 22 (SPSS Inc. 2008, Chicago, IL, USA) for the two groups based on (i) the isotopic scores of hydrogen; (ii) the length of the tarsus, the wing and the tail; (iii) the percentage of white in the right tail feather 1, 2, 3, and 4; and (iv), the distance from the front of the crown to where the black ends, the distance from the front of the crown to the very back and the percent of the crown that is black (discriminant function coefficients are reported in the Supplementary Material). Because of the relatively low overall and per group sample size, we included in the analysis a “leave-one-out” cross validation test to assess the power of our model to correctly classify individuals. The validation test correctly classified five of the six migrant individuals (an 83.3% of migrants correctly classified) and 17 of 19 residents (an 89.5% of residents correctly classified), yielding a total of 88% of cases correctly classified.
Finally, we used the DFA model to classify the 35 UCSD campus individuals for which we had morphometric and isotope scores but not genomic data, including them as blind cases in the model construction. The predicted group membership resulted in 9 migrants (probability of group membership ranging from 0.96 to 1) and 26 residents (probability of group membership ranging from 0.98 to 1). In light of the cross validation test, these outcomes should be taken with caution. Two additional birds in the field study were captured the following winter for the captive study, and therefore were genotyped (both migrants). The final sample size of our comparison of free-living birds was 11 migrants and 26 residents.
Statistical Analyses of Hormone and Physiology Data
We used non-parametric statistical tests for all physiological measures, due to unequal sample sizes and unequal variances in both the field and captive studies.
Age distribution was equal in sedentary urban and migrant juncos sampled for LH in the field (Fisher's exact test, P = 0.443; first-year sedentary urban = 7, after-first-year sedentary urban = 19, first-year migrant = 5, after-first-year migrant = 6). To test for within-subject variance in plasma LH levels across the three sample times (baseline LH, LH 5 min after a single GnRH injection, and 5 min after the final GnRH injection), we used a Friedman test with sedentary urban and migrant juncos combined. We used Mann-Whitney U test to test for between-group differences in LH at each sample time.
Age distribution was equal in sedentary urban and migrant juncos held in the captive study (Fisher's exact test, P = 0.630; first-year sedentary urban = 6, after-first-year sedentary urban = 13, first-year migrant = 3, after-first-year migrant = 3). To test for within-subject variance in physiological measures (cloacal protuberance volume, plasma testosterone, testosterone post-GnRH challenge, subcutaneous fat score, and CORT) across the four sampling weeks, we used a Friedman test for each week with sedentary urban and migrant juncos combined. We used a Mann-Whitney U test to test for between-group differences in physiological measures each week. We were not able to sample enough plasma from all birds at each time point, therefore, sample numbers vary across sampling times. To test for differences between sedentary urban and migrant juncos in gonadal FSHR, GR, LHR, and MR transcript abundance, we used independent Mann-Whitney U tests. We performed all statistical analyses using SPSS, version 24 (IBM). All reported p-values are two-tailed.
Sedentary urban juncos had higher baseline LH than migrant juncos (U = 48.50, nurban = 26, nmigrant = 11, p = 0.002). LH increased after injection (n = 32, Chi-Square χ2 = 39.44, df = 2, p < 0.001), but there was no difference between the groups following GnRH challenge (LH 5 min: U = 106.00, nurban = 25, nmigrant = 10, p = 0.488; LH 65 min: U = 107.50, nurban = 24, nmigrant = 10, p = 0.637) (Figure 2).
Figure 2. Male sedentary urban juncos (white boxes) had higher baseline levels of LH than male migrant juncos (gray boxes). LH increased in both groups 5 min after a GnRH-challenge and remained high after two additional injections timed 30 min apart (*p ≤ 0.05). The groups did not differ in LH from one another post-GnRH injections. Boxes represent upper quartile, median, and lower quartile. Whiskers include the range of values except for outliers. Outliers include values > 1.5 box lengths (circles).
Common Garden Study
At the end of the 4-week sampling period, sedentary urban juncos had larger gonads than migrant juncos (U = 18.00, nurban = 19, nmigrant = 6, p = 0.013) (Figure 3). Median gonad mass was 0.113 g for sedentary urban juncos and 0.024 g for migrants.
Figure 3. Testis mass of male sedentary urban juncos was higher than that of migrant juncos in early spring. Boxes represent upper quartile, median, and lower quartile (*p ≤ 0.05). Whiskers include the range of values except for outliers. Outliers include values >1.5 box lengths (circles).
Cloacal Protuberance Volume
Cloacal protuberance (CP) volume increased across the 4-week sampling period in all birds (n = 25, Chi-Square χ2 = 35.10, df = 3, p < 0.001) however there was no difference when comparing sedentary urban and migrant juncos (CP week one: U = 56.50, nurban = 19, nmigrant = 6, p = 0.975; CP week two: U = 41.50, nurban = 19, nmigrant = 6, p = 0.324; CP week three: U = 55.50, nurban = 19, nmigrant = 6, p = 0.924; CP week 4: U = 46.50, nurban = 19, nmigrant = 6, p = 0.50).
Baseline testosterone increased across the 4-week sampling period in all birds (n = 23, Chi-Square χ2 = 7.85, df = 3, p = 0.049; Figure 4A). Sedentary urban and migrant juncos had similar baseline testosterone during the first 2 weeks of the study (baseline T week one: U = 40.00, nurban = 19, nmigrant = 6, p = 0.279; baseline T week two: U = 32.50, nurban = 18, nmigrant = 6, p = 0.152) but sedentary urban juncos had higher levels in weeks 3 and 4 (baseline T week three: U = 21.50, nurban = 18, nmigrant = 6, p = 0.030; baseline T week 4: U = 14.00, nurban = 18, nmigrant = 6, p = 0.008). Sedentary urban juncos had higher GnRH-induced testosterone than migrants throughout the study (GnRH T week one: U = 24.00, nurban = 19, nmigrant = 6, p = 0.036; GnRH T week two: U = 19.00, nurban = 19, nmigrant = 6, p = 0.016; GnRH T week three: U = 19.00, nurban = 19, nmigrant = 6, p = 0.016; GnRH T week 4: U = 19.00, nurban = 18, nmigrant = 6, p = 0.020; Figure 4B).
Figure 4. Male sedentary urban juncos (white boxes) and migrant juncos (gray boxes) did not differ in plasma testosterone until the third week of sampling (12 & 13 March) (A). Sedentary urban juncos had higher levels of testosterone in response to GnRH-challenge (B) than migrant male juncos throughout the study (*p ≤ 0.05; **p ≤ 0.01). The samples were collected on the following dates: 1 = 26 & 27 February, 2 = 5 & 6 March, 3 = 12 & 13 March, 4 = 19 & 20 March. Boxes represent upper quartile, median, and lower quartile. Whiskers include the range of values except for outliers. Outliers include values >1.5 box lengths (circles).
CORT increased across the 4-week sampling period in all birds (n = 21, Chi-Square χ2 = 9.49, df = 3, p = 0.023; Figure 5A). Sedentary urban and migrant juncos had similar baseline CORT in all 4 weeks of the study (CORT week one: U = 38.00, nurban = 17, nmigrant = 6, p = 0.363; CORT week two: U = 44.50, nurban = 19, nmigrant = 6, p = 0.426; CORT week three: U = 35.00, nurban = 19, nmigrant = 6, p = 0.162; CORT week 4: U = 32.00, nurban = 16, nmigrant = 6, p = 0.238).
Figure 5. Male sedentary urban juncos (white boxes) and migrant juncos (gray boxes) did not differ in plasma corticosterone at any point during the study (A). Male migrant juncos exhibited larger subcutaneous fat scores than urban male juncos (B) (*p ≤ 0.05; **p ≤ 0.01). The samples were collected on the following dates: 1 = 26 & 27 February, 2 = 5 & 6 March, 3 = 12 & 13 March, 4 = 19 & 20 March. Boxes represent upper quartile, median, and lower quartile. Whiskers include the range of values except for outliers. Outliers include values >1.5 box lengths (circles).
Migrants exhibited more subcutaneous fat than sedentary urban juncos throughout the study (Fat week one: U = 13.00, nurban = 19, nmigrant = 6, p = 0.002; Fat week two: U = 13.500, nurban = 19, nmigrant = 6, p = 0.003; Fat week three: U = 20.50, nurban = 19, nmigrant = 6, p = 0.018; Fat week 4: U = 19.00, nurban = 19, nmigrant = 6, p = 0.004; Figure 5B). There was no difference in fat across the four sampling periods when sedentary and migratory juncos were combined (n = 25, Chi-Square χ2 = 2.97, df = 3, p = 0.396).
LHR and FSHR
At the end of the 4-week sampling period, there was no difference in gonad LH receptor or FSH receptor transcript abundance between sedentary urban and migrant juncos (LHR: U = 46.00, nurban = 18, nmigrant = 6, p = 0.594; FSHR: U = 31.50, nurban = 18, nmigrant = 6, p = 0.133; Figure 6).
Figure 6. Male sedentary urban juncos (white boxes) and male migrant juncos (gray boxes) did not differ in FSHR (A) or LHR (B) transcript abundance in the gonad. Measures of transcript abundance are log2-fold change relative to a calibrator. Boxes represent upper quartile, median, and lower quartile. Whiskers include the range of values except for outliers. Outliers include values >1.5 box lengths (circles).
GR and MR
At the end of the 4-week sampling period, there was no difference in gonad glucocorticoid receptor or mineralocorticoid receptor transcript abundance between sedentary urban and migrant juncos (GR: U = 34.00, nurban = 18, nmigrant = 6, p = 0.182; MR: U = 37.00, nurban = 18, nmigrant = 6, p = 0.257; Figure 7).
Figure 7. Male sedentary urban juncos (white boxes) and male migrant juncos (gray boxes) did not differ in MR (A) or GR (B) transcript abundance in the gonad. Measures of transcript abundance are log2-fold change relative to a calibrator. Boxes represent upper quartile, median, and lower quartile. Whiskers include the range of values except for outliers. Outliers include values >1.5 box lengths (circles).
Findings from this study resemble those from other studies that have shown rapid advancement in the seasonal onset of reproduction in urban avian populations (Deviche and Davies, 2013). However, this study is unusual in the degree to which it addresses the physiological mechanisms that allow earlier reproduction in urban populations and the implications for genetic divergence over time because population differences were exhibited under identical environmental cues.
Timing of reproduction is critical to determining levels of gene flow between closely related populations and is subject to change as avian populations colonize rapidly expanding urban habitats. In this study, we compared indices of reproductive timing in two populations living in the same environment, a derived population that has recently become sedentary and begun to breed in San Diego CA and its ancestral relatives that co-exist with these urban colonists during winter but depart to breed elsewhere. By some but not all measures, reproductive development occurred earlier in the urban colonists. In the wild, baseline LH was greater in urban breeders but LH in response to GnRH did not differ between urban breeders and migrants (Figure 2). When birds from both populations were held in a common garden and exposed to the same simulated natural increases in day length with ample food, they nevertheless diverged in gonadal mass (Figure 3) and gonadal development as determined from testosterone release after stimulation by GnRH. Sedentary urban and migrant juncos were similar in baseline T until the third week of our sampling. However, throughout the sampling period, sedentary urban juncos elevated T more than migrant juncos, suggesting increased sensitivity at the level of the pituitary or the gonad (Figure 4). The populations did not differ in gonadal sensitivity to stimulation by LH or FSH when sensitivity was measured as abundance of transcripts for receptors for LH and FSH (Figure 6). The delay in reproductive timing in migrants is not likely due to suppression by the HPA axis because migrants did not differ from colonists in circulating levels of corticosterone (Figure 5A) or in the abundance of transcripts for gonadal glucocorticoid receptors (Figure 7). Whatever the mechanisms underlying differences in timing of reproductive development, they may help to explain divergence in recently separated and seasonally sympatric populations.
In combination, field LH and captive T results from our study suggest that differences in the timing of the seasonal increase in GnRH secretion could help explain differences in reproductive timing between sedentary urban and migrant juncos. While we found no difference between sedentary urban and migrant LH in response to GnRH (either 1x or 3x), baseline LH and captive baseline T (weeks 3 and 4) were both higher in sedentary urban juncos, which suggests that GnRH secretion could increase seasonally earlier in sedentary urban juncos. In captivity, sedentary urban juncos also increased T more than migrants in response to GnRH. In combination, these results suggest similar activity of the pituitary (no difference in LH after GnRH challenge) but earlier activation of hypothalamic and gonadal activity (higher baseline LH and T post-GnRH challenge). However, the underlying causes for these differences in seasonal activation are still unknown. The differences that we observed in the captive common-garden suggest a differential response between urban sedentary and migrant juncos to similar environmental cues. Urban sedentary juncos could be more sensitive than migrants to seasonal cues, such as photoperiod and food availability at the shared overwintering site and in the common-garden. As a result, the reproductive system of urban sedentary juncos could either respond earlier or develop at a faster rate in early spring.
Our finding of advanced seasonal elevation of baseline LH in sedentary urban juncos is similar to the results of a recent study that compared the seasonal timing of reproductive development in an urban population of Abert's Towhees (Melosone aberti) in Phoenix Arizona USA with that of a nearby rural population. Urban Abert's Towhees increased plasma LH, but not plasma testosterone, earlier than non-urban birds (Davies et al., 2015). In our captive common-garden, sedentary urban and migrant juncos also had similar plasma testosterone in the first 2 weeks of comparison, but diverged in the final 2 weeks of our study, with sedentary juncos displaying elevated baseline testosterone levels. Davies and colleagues suggest there has been a seasonal advancement in the endocrine activity of the anterior pituitary gland and/or hypothalamus in urban Abert's Towhees. Identifying and comparing the mechanistic basis for advances in the seasonal timing of reproduction in different species could be useful for identifying common mechanisms by which populations adapt to urban habitat.
At the conclusion of our captive study we also compared gonadal transcript abundance of LHR and FSHR in urban sedentary and migrant juncos. FSHR and LHR are important for seasonal gonadal growth, and LHR is critical to avian seasonal testosterone production (Vizcarra et al., 2015). Accordingly, we predicted higher FSHR and LHR transcript abundance in sedentary urban juncos in early spring. However, we did not find differences in transcript abundance of either FSHR or LHR (Figure 6). The absence of differences in gonadal LHR and FSHR transcripts, combined with elevated baseline LH observed from urban sedentary birds and elevated baseline testosterone during the final 2 weeks of our captive study, suggests that the earlier gonadal growth and responsiveness was not the result of a change in gonadal LH sensitivity to LH or FSH. Recent work has identified an inhibitory role of Gonadotropin Inhibitory Hormone (GnIH) in the gonads of male songbirds (McGuire et al., 2013; Ernst et al., 2016). Future work is needed to identify whether decreased gonadal GnIH production and/or gonadal GnIH receptor abundance in sedentary urban juncos in early spring could be acting as a mechanism for earlier onset of reproduction. Another potential explanation for the variation that we observed in T production is that the populations could differ in expression of genes in the steroid biosynthetic pathway. A recent comparison of junco subspecies that differ in testosterone-mediated traits found variation in gonadal mRNA for key regulatory genes for testosterone production including StAR, CYP17, and p450scc (Rosvall et al., 2016).
Previous work has identified a relationship between plasma CORT and the activity of the reproductive system in birds (Schoech, 2009). Recent work on Rufous-winged Sparrows (Peucaea carpalis), a sedentary sparrow that breeds in arid habitat, reported reduced plasma T following stressors during pre-breeding and breeding (Deviche et al., 2014, 2016). However, plasma CORT and T were not found to be correlated at the individual level in Rufous-winged Sparrows, and there was no evidence for a functional relationship between elevated CORT and T levels.
In the current study, we evaluated whether either decreased plasma corticosterone and/or decreased gonadal receptors for corticosterone (GR and MR) might play a role in greater testosterone production in sedentary urban juncos in early spring. We compared circulating corticosterone and gonadal GR and MR transcript abundance in sedentary urban and migrant juncos in our common garden study. Both in the field and a common garden, sedentary urban juncos, and migrant juncos that breed close-by had similar baseline levels of corticosterone during the breeding season (Atwell et al., 2012). Similar to these observations, our data collected during the period preceding the breeding season found no differences in baseline levels of corticosterone; sedentary urban and migrant juncos had similar levels of corticosterone over our 4-week captive study in early spring (Figure 5A). Further, we also did not identify any differences in gonadal GR or MR transcript abundance in sedentary urban and migrant juncos (Figure 7). Thus, observations from the current study do not support a role for baseline glucocorticoids during the pre-breeding period in inhibiting reproductive development in migrant juncos overwintering with urban sedentary juncos.
Another possibility is that stress-induced levels of corticosterone might act to delay reproductive development in migrants. A previous study (Atwell et al., 2012) conducted during the breeding season, found higher stress-induced corticosterone in a nearby rural breeding population compared to breeders from the urban San Diego population. We did not measure stress-induced corticosterone in this study, so we cannot say whether differences in stress-induced corticosterone levels might have delayed reproductive development in migrant juncos in San Diego. However, we think that is unlikely because in a similar comparison in Virginia USA, migrant juncos captured during spring had lower, not higher, levels of stress-induced corticosterone as compared with seasonally sympatric residents (Bauer et al., 2016).
Fat varies seasonally in passerines in relation to transitions between wintering and migratory stages (Clark, 1979). Despite having access to the same amount of food in the common-garden environment, migrant juncos had more subcutaneous fat than sedentary urban juncos throughout early spring (Figure 5B). Beginning in late March, migrant juncos that overwinter in San Diego migrate to breeding sites prior to reproduction (Yeh and Price, 2004). Elevated fat reserves in migrant juncos in early spring likely serve as fuel for migration. Results from our captive comparison suggest this is a seasonal change that is not expressed in the sedentary urban colonists. Perhaps the absence of migration-related traits in the sedentary urban population allows them to respond to the favorable environmental conditions encountered in their newly urbanized habitat, facilitating earlier onset of reproduction.
Avian populations face novel challenges with ongoing global urbanization. By identifying the mechanistic underpinnings of adaptive traits associated with successful colonizations of urban areas, we will be better able to predict which populations will persist and adapt to rapidly changing environments. We have demonstrated differences between heteropatric sedentary urban and migrant juncos in the seasonal timing of gonadal responsiveness and upstream endocrine activity of the pituitary gland and hypothalamus. However, we found no differences between these recently diverged groups in expression of key genes associated with reproduction and sex steroid production in the gonads. Urbanization is an ongoing process and future studies should aim to identify the mechanisms responsible for advanced reproductive physiology in individuals colonizing urban habitats.
AF, TG, MA, JA, and EK, All contributed to the design of the experiments, collection of data, performance of lab work, and writing of the manuscript. SM and CS, Contributed to the design of the experiments, lab work, and writing of the manuscript. GF Contributed to design of the experiments, ran the GBS and DFA analyses, and contributed to writing the manuscript.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
We would like to thank Alexander Kauffman at UCSD for use of lab space and equipment and Tim Gentner at UCSD for serving as our representative to the IACUC. John McCormack and Brant Faircloth assisted with sequencing of the junco reference genome and provided support to GF. Jessica Graham, Emily Stewart, Katie Needham, Rachel Hanauer, Alex Hughes, Abby Kimmitt, Sam Slowinski, and Charli Taylor helped to collect and process samples. This work was funded by the National Science Foundation (IOS-1257474 to EK and IOS-1257527 to TG). SM acknowledges Roslin Institute strategic grant funding from the Biotechnology and Biological Sciences Research Council (BB/J004316/1 and BB/J004332/1). Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
The Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/fevo.2017.00085/full#supplementary-material
Alberti, M., Correa, C., Marzluff, J. M., Hendry, A. P., Palkovacs, E. P., Gotanda, K. M., et al. (2017). Global urban signatures of phenotypic change in animal and plant populations. Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.1606034114. [Epub ahead of print].
Atwell, J. W., Cardoso, G. C., Whittaker, D. J., Campbell-Nelson, S., Robertson, K. W., and Ketterson, E. D. (2012). Boldness behavior and stress physiology in a novel urban environment suggest rapid correlated evolutionary adaptation. Behav. Ecol. 23, 960–969. doi: 10.1093/beheco/ars059
Atwell, J. W., Cardoso, G. C., Whittaker, D. J., Price, T. D., and Ketterson, E. D. (2014). Hormonal, behavioral, and life-history traits exhibit correlated shifts in relation to population establishment in a novel environment. Am. Nat. 184, E147–E160. doi: 10.1086/678398
Bauer, C. M., Needham, K. B., Le, C. N., Stewart, E. C., Graham, J. L., Ketterson, E. D., et al. (2016). Hypothalamic–pituitary–adrenal axis activity is not elevated in a songbird (Junco hyemalis) preparing for migration. Gen. Comp. Endocrinol. 232, 60–66. doi: 10.1016/j.ygcen.2015.12.020
Bergeon Burns, C. M., Rosvall, K. A., Hahn, T. P., Demas, G. E., and Ketterson, E. D. (2014). Examining sources of variation in HPG axis function among individuals and populations of the dark-eyed junco. Horm. Behav. 65, 179–187. doi: 10.1016/j.yhbeh.2013.10.006
Chamberlain, D., Cannon, A., Toms, M., Leech, D., Hatchwell, B., and Gaston, K. (2009). Avian productivity in urban landscapes: a review and meta-analysis. Ibis 151, 1–18. doi: 10.1111/j.1474-919X.2008.00899.x
Davies, S., Behbahaninia, H., Giraudeau, M., Meddle, S. L., Waites, K., and Deviche, P. (2015). Advanced seasonal reproductive development in a male urban bird is reflected in earlier plasma luteinizing hormone rise but not energetic status. Gen. Comp. Endocrinol. 224, 1–10. doi: 10.1016/j.ygcen.2015.05.005
Deviche, P., and Davies, S. (2013). “Reproductive phenology of urban birds: environmental cues and mechanisms,” in Avian Urban Ecology: Behavioural and Physiological Adaptations, eds D. Gil and H. Brumm (Oxford: Oxford University Press), 98–115.
Deviche, P., Beouche-Helias, B., Davies, S., Gao, S., Lane, S., and Valle, S. (2014). Regulation of plasma testosterone, corticosterone, and metabolites in response to stress, reproductive stage, and social challenges in a desert male songbird. Gen. Comp. Endocrinol. 203, 120–131. doi: 10.1016/j.ygcen.2014.01.010
Deviche, P., Valle, S., Gao, S., Davies, S., Bittner, S., and Carpentier, E. (2016). The seasonal glucocorticoid response of male Rufous-winged Sparrows to acute stress correlates with changes in plasma uric acid, but neither glucose nor testosterone. Gen. Comp. Endocrinol. 235, 78–88. doi: 10.1016/j.ygcen.2016.06.011
Deviche, P., Wingfield, J. C., and Sharp, P. J. (2000). Year-class differences in the reproductive system, plasma prolactin and corticosterone concentrations, and onset of prebasic molt in male dark-eyed juncos (Junco hyemalis) during the breeding period. Gen. Comp. Endocrinol. 118, 425–435. doi: 10.1006/gcen.2000.7478
Elshire, R. J., Glaubitz, J. C., Sun, Q., Poland, J. A., Kawamoto, K., Buckler, E. S., et al. (2011). A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. PLoS ONE 6:e19379. doi: 10.1371/journal.pone.0019379
Ernst, D. K., Lynn, S. E., and Bentley, G. E. (2016). Differential response of GnIH in the brain and gonads following acute stress in a songbird. Gen. Comp. Endocrinol. 227, 51–57. doi: 10.1016/j.ygcen.2015.05.016
Evans, K. L., Hatchwell, B. J., Parnell, M., and Gaston, K. J. (2010). A conceptual framework for the colonisation of urban areas: the blackbird Turdus merula as a case study. Biol. Rev. 85, 643–667. doi: 10.1111/j.1469-185x.2010.00121.x
Foll, M., and Gaggiotti, O. (2008). A genome-scan method to identify selected loci appropriate for both dominant and codominant markers: a bayesian perspective. Genetics 180, 977–993. doi: 10.1534/genetics.108.092221
Fudickar, A. M., Greives, T. J., Atwell, J. W., Stricker, C. A., Ketterson, E. D., Williams, T. D., et al. (2016a). Reproductive allochrony in seasonally sympatric populations maintained by differential response to photoperiod: implications for population divergence and response to climate change. Am. Nat. 187, 436–446. doi: 10.1086/685296
Fudickar, A. M., Peterson, M. P., Greives, T. J., Atwell, J. W., Bridge, E. S., and Ketterson, E. D. (2016b). Differential gene expression in seasonal sympatry: mechanisms involved in diverging life histories. Biol. Lett. 12:20160069. doi: 10.1098/rsbl.2016.0069
Greives, T. J., Fudickar, A. M., Atwell, J. W., Meddle, S. L., and Ketterson, E. D. (2016). Early spring sex differences in luteinizing hormone response to gonadotropin releasing hormone in co-occurring resident and migrant dark-eyed juncos (Junco hyemalis). Gen. Comp. Endocrinol. 236, 17–23. doi: 10.1016/j.ygcen.2016.06.031
Hahn, T., Pereyra, M., Katti, M., Ward, G., and MacDougall-Shackleton, S. (2005). “Effects of food availability on the reproductive system,” in Functional Avian Endocrinology, eds A. Dawson and P. J. Sharp (New Delhi: Narosa Publishing House), 167–180.
Jawor, J. M., McGlothlin, J. W., Casto, J. M., Greives, T. J., Snajdr, E. A., Bentley, G. E., et al. (2006). Seasonal and individual variation in response to GnRH challenge in male dark-eyed juncos (Junco hyemalis). Gen. Comp. Endocrinol. 149, 182–189. doi: 10.1016/j.ygcen.2006.05.013
Ketterson, E. D., Fudickar, A. M., Atwell, J. W., and Greives, T. J. (2015). Seasonal timing and population divergence: when to breed, when to migrate. Curr. Opin. Behav. Sci. 6, 50–58. doi: 10.1016/j.cobeha.2015.09.001
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., et al. (2010). The genome analysis toolkit: a mapreduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20, 1297–1303. doi: 10.1101/gr.107524.110
Meddle, S. L., Romero, L. M., Astheimer, L. B., Buttemer, W. A., Moore, I. T., and Wingfield, J. C. (2002). Steroid hormone interrelationships with territorial aggression in an arctic-breeding songbird, Gambel's white-crowned sparrow, Zonotrichia leucophrys gambelii. Horm. Behav. 42, 212–221. doi: 10.1006/hbeh.2002.1813
Partecke, J., Schwabl, I., and Gwinner, E. (2006). Stress and the city: urbanization and its effects on the stress physiology in European blackbirds. Ecology 87, 1945–1952. doi: 10.1890/0012-9658(2006)87[1945:SATCUA]2.0.CO;2
Partecke, J., Van't Hof, T., and Gwinner, E. (2004). Differences in the timing of reproduction between urban and forest European blackbirds (Turdus merula): result of phenotypic flexibility or genetic differences? Proc. R. Soc. Lond. B Biol. Sci. 271, 1995–2001. doi: 10.1098/rspb.2004.2821
Ramenofsky, M., Campion, A. W., Pérez, J. H., Krause, J. S., and Németh, Z. (2017). Behavioral and physiological traits of migrant and resident white-crowned sparrows: a common garden approach. J. Exp. Biol. 220, 1330–1340. doi: 10.1242/jeb.148171
Rasner, C., Yeh, P., Eggert, L., Hunt, K., Woodruff, D., and Price, T. (2004). Genetic and morphological evolution following a founder event in the dark-eyed junco, Junco hyemalis thurberi. Mol. Ecol. 13, 671–681. doi: 10.1046/j.1365-294X.2004.02104.x
Rosvall, K. A., Burns, C. M. B., Jayaratna, S. P., and Ketterson, E. D. (2016). Divergence along the gonadal steroidogenic pathway: implications for hormone-mediated phenotypic evolution. Horm. Behav. 84, 1–8. doi: 10.1016/j.yhbeh.2016.05.015
Schaper, S. V., Dawson, A., Sharp, P. J., Gienapp, P., Caro, S. P., and Visser, M. E. (2012). Increasing temperature, not mean temperature, is a cue for avian timing of reproduction. Am. Nat. 179, E55–E69. doi: 10.1086/663675
Wassenaar, L., and Hobson, K. (2003). Comparative equilibration and online technique for determination of non-exchangeable hydrogen of keratins for use in animal migration studies. Isotopes Environ. Health Stud. 39, 211–217. doi: 10.1080/1025601031000096781
Watts, H. E., MacDougall-Shackleton, S. A., and Hahn, T. P. (2015). Variation among individuals in photoperiod responses: effects of breeding schedule, photoperiod, and age-related photoperiodic experience in birds. J. Exp. Zool. A Ecol. Genet. Physiol. 323, 368–374. doi: 10.1002/jez.1929
Wingfield, J. C., Crim, J. W., Matfocks, P. W., and Farner, D. S. (1979). Responses of photosensitive and photorefractory male white-crowned sparrows (Zonotrichia leucophrys gambelii) to synthetic mammalian luteinizing hormone releasing hormone (Syn-LHRH). Biol. Reprod. 21, 801–806. doi: 10.1095/biolreprod21.4.801
Wingfield, J. C., Sullivan, K., Jaxion-Harm, J., and Meddle, S. L. (2012). The presence of water influences reproductive function in the song sparrow (Melospiza melodia morphna). Gen. Comp. Endocrinol. 178, 485–493. doi: 10.1016/j.ygcen.2012.07.007
Wunder, M. B., Jehl, J. R., and Stricker, C. A. (2012). The early bird gets the shrimp: confronting assumptions of isotopic equilibrium and homogeneity in a wild bird population. J. Anim. Ecol. 81, 1223–1232. doi: 10.1111/j.1365-2656.2012.01998.x
Keywords: seasonal breeding, phenology, supplemental cues, photoperiod, migration, songbird, gonads, urbanization
Citation: Fudickar AM, Greives TJ, Abolins-Abols M, Atwell JW, Meddle SL, Friis G, Stricker CA and Ketterson ED (2017) Mechanisms Associated with an Advance in the Timing of Seasonal Reproduction in an Urban Songbird. Front. Ecol. Evol. 5:85. doi: 10.3389/fevo.2017.00085
Received: 31 January 2017; Accepted: 12 July 2017;
Published: 02 August 2017.
Edited by:Diego Gil, Museo Nacional de Ciencias Naturales (CSIC), Spain
Reviewed by:Pierre J. Deviche, Arizona State University, United States
Oscar Gordo, Estación Biológica de Doñana (CSIC), Spain
Copyright © 2017 Fudickar, Greives, Abolins-Abols, Atwell, Meddle, Friis, Stricker and Ketterson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Adam M. Fudickar, email@example.com