Mitochondria and plastids are the products of ancient endosymbiotic events, involving a proteobacterium and a cyanobacterium, respectively (Lang et al., 1999; Palmer, 2003). Mitochondria arrived early and probably existed in the common ancestor of all eukaryotes (Gray et al., 1999). Plastids came later, first arising in the Archaeplastida (Plantae), and then being passed on laterally to diverse lineages through eukaryote–eukaryote endosymbioses (Archibald, 2009; Keeling, 2010). The genomes within contemporary mitochondria and plastids have been fashioned through coexistence and coevolution with their eukaryotic hosts, and in many instances have acquired bizarre and complex architectures (Palmer, 1985; Gray et al., 2004; Green, 2011).
Organelle DNAs boast an impressive, and often puzzling, array of sizes (<10 to >1000 kb), conformations (circular or linear), chromosome numbers (monomeric to highly fragmented), compactnesses (<10 to >90% non-coding DNA), and gene repertoires (<5 to >250 genes). Moreover, many organelle genomes use a non-standard genetic code (Jukes and Osawa, 1993), and some employ complicated editing systems that alter the sequences of RNA transcripts (Covello and Gray, 1989; Simpson and Thiemann, 1995). One feature of organelle DNA that has proven to be relatively constant across lineages is its nucleotide composition. Almost all completely sequenced mitochondrial and plastid DNAs (mtDNAs and ptDNAs) have a high adenine and thymine (AT) content (Kusumi and Tachida, 2005; Min and Hickey, 2007). Various hypotheses have tried to explain this AT bias, but the topic remains poorly understood.
Recently, it was shown that guanine and cytosine (GC)-rich organelle DNAs do exist (Tsuji et al., 2007; Smith and Lee, 2008; Hecht et al., 2011). These genomes come from a small but diverse group of species, including various green plants and animals, and sometimes have linear conformations or undergo large amounts of post-transcriptional editing. Unraveling the mechanism responsible for their GC enrichment may help explain the near-ubiquity of AT-rich mitochondrial and plastid genomes throughout the eukaryotic domain, and could give insights into other aspects organelle genome architecture, such as the origins of RNA editing. The existence of GC-rich organelle genomes, however, is poorly chronicled in the scientific literature, even though these sequences could impact how we use organelle DNA for studying molecular evolution (Foster and Hickey, 1999).
This review showcases GC-biased organelle genomes and the species in which they are found. GC enrichment is discussed in context to mutation, recombination, population genetics, and genome architecture. It is emphasized that GC-rich mtDNAs and ptDNAs are more common than once thought – occasionally occurring together in the same species – and that the processes promoting GC enrichment can differ within and among lineages.
The Near-Ubiquity of AT-Rich Organelle Genomes
The sequencing of large numbers of organelle genomes from diverse lineages has revealed an almost universal AT bias in mtDNAs and ptDNAs across the eukaryotic domain (Figure 1). Of the ∼2,500 mitochondrial and plastid genomes that have been sequenced, as of January 1, 2012, most have an AT content above 50% (average ≈65%; Figure 1). Convergent evolution to AT richness is found in other types of organelle-located DNAs, such as mitochondrial plasmids (Handa, 2008), nucleomorph genomes (Moore and Archibald, 2009), and the genomes of mitochondrial viruses (Wu et al., 2010). Moreover, the genomes of bacterial and eukaryotic endosymbionts and intracellular parasites tend to have higher AT compositions than those of their free-living close relatives (Pallen and Wren, 2007; Nowack et al., 2008; McCutcheon and Moran, 2010).
Figure 1. Nucleotide composition continuum of completely sequenced mitochondrial DNA (mtDNA) and plastid DNA (ptDNA) sequences. Most of the complete organelle genome sequences deposited in GenBank have a GC content below 50%, with the exception of those from certain green algae, lycophytes, fish, and fungi. The number of genome sequences (n) within each group is shown beside the y-axis. Mitochondrial and plastid genome sequences were downloaded from GenBank on January 1, 2012.
Many processes can influence nucleotide landscape, including mutation, recombination, random genetic drift, and selection (Lynch, 2007; Charlesworth and Charlesworth, 2010). The net effect of these processes ultimately determines the equilibrium nucleotide composition of a genome. The origins of AT richness within mtDNAs and ptDNAs are thought to reflect the endosymbiotic history of these genomes, their location within the cell, the unique population-genetic features that define organelles, and selection for metabolic and translational efficiency.
The massive shedding of genes that characterized early mtDNA and ptDNA evolution resulted, at least for some lineages, in the loss of key DNA repair proteins and, consequently, diminished nucleotide repair capacities within organelles (Kleine et al., 2009; Bendich, 2010, but see Liu and Demple, 2010). Organelle DNAs are typically uniparentally inherited, non-recombining, and can experience severe bottlenecks during transmission, which implies that they are inefficient at purging deleterious mutations from their populations (Muller, 1964; Rand, 2001; but see Piganeau et al., 2004). Organelle genomes undergo multiple rounds of replication per cell division (Birky, 2001), predisposing them to replication errors, and they are housed in energy-producing compartments where high concentrations of reactive oxygen species promote GC→AT mutations through the deamination of cytosine and the oxidative conversion of guanine to 8-oxo-guanine (Martin, 1995; Asada, 2006; Murphy, 2009; Shokolenko et al., 2009). Together, these points suggest that organelle DNAs inhabit a highly mutagenic environment, where DNA repair is inefficient, and the mutational spectrum is skewed toward AT. As one might expect, many species, including most metazoans, appear to have high organelle DNA mutation rates (Lynch et al., 2006). There are some species, however, for which the organelle DNA mutation rate is estimated to be low (e.g., most angiosperms), yet their organelle genomes are still AT-rich (Drouin et al., 2008).
In addition to a genome-wide AT bias, mtDNAs and ptDNAs can exhibit regional and strand-specific nucleotide biases (Gibson, 2005; Kusumi and Tachida, 2005). The mutational consequences of organelle genome replication can give rise to AC vs. GT inequities because the DNA strand that spends more time in the mutationally vulnerable single-stranded state is prone to C→T and A→G transitions (Ames et al., 1995; Frank and Lobry, 1999; Faith and Pollock, 2003); but this does not impact the overall AT composition as the G’s and T’s of one strand are complemented by A’s and C’s on the other strand.
Natural selection is thought to have contributed to the high AT content of mitochondrial and plastid genomes. Selection for translational efficiency and accuracy is believed to have shaped the nucleotide composition of codons in organelle genes, in some cases enriching the thymine content of synonymous sites (Morton, 1998). Others have argued that AT richness is an adaptation for metabolic efficiency, noting the increased energetic costs of producing C vs. T and G vs. A and the varying abundance of A/T vs. G/C nucleotides during organelle DNA synthesis (Jukes and Bhushan, 1986; Wolfe, 1991; Rocha and Danchin, 2002).
Thus, a multitude of forces have likely helped generate the near-universal AT bias of organelle DNAs. The discovery of organelle genomes with a high GC content has provided an important point of comparison from which to better understand these forces.
Taxa with GC-Rich Organelle Genomes
There are more than 40 complete organelle genome sequences in GenBank with GC contents exceeding 50% (Figure 1). These genomes come from various fish, green algae, and land plants as well as a fungus (Figure 1; Table 1). Moreover, the nucleotide composition of organelle genes, like those encoding the mitochondrial protein cytochrome c oxidase subunit I (cox1) and the large subunit of the plastid protein Rubisco (rbcL), have proven to be good predictors of overall organelle DNA nucleotide content (Min and Hickey, 2007; Clare et al., 2008; Smith, 2009). Analyses of cox1 and rbcL have revealed other lineages with GC-rich organelle genomes (Kerr et al., 2007; Borza et al., 2009; Figure 2; Table 1). The taxonomic groups containing (or predicted to contain) species with GC-rich organelle DNA are listed below and highlighted in Figures 1–3 and Table 1.
Figure 2. Nucleotide composition continuum of the available cox1 and rbcL sequences from eukaryotic organelle genomes. The cox1 gene, which is located in the mitochondrial genome of all studied eukaryotes, encodes the protein cytochrome c oxidase subunit I. The rbcL gene, which is found in the ptDNA of most plastid-bearing eukaryotes, encodes the large subunit of Rubsico. The nucleotide content of cox1 and rbcL are good predictors of the overall mtDNA and ptDNA nucleotide composition, respectively (Min and Hickey, 2007; Smith, 2009). Complete and partial cox1 and rbcL sequences (minimum length = 400 nt) were downloaded from GenBank on January 1, 2012. Given the huge number of bilaterian cox1 sequences (>300,000), the chart only shows those for species from the Actinopterygii, Archosauria, and Amphibia – the bilaterians known to have cox1 sequences that can exceed 50% GC.
Figure 3. Tree showing the eukaryotic lineages that have species with GC-rich organelle genomes. Colored branches represent lineages that are known to contain (based on complete organelle genome sequence data) or predicted to contain (based on cox1/rbcL sequences) species with GC-rich organelle genomes (red = mtDNA, blue = ptDNA, pink = mtDNA and ptDNA). Branching order based on published phylogenetic analyses.
Some of the highest organelle genome GC contents come from green algae. The chlorophycean Polytomella capuana, a non-photosynthetic unicell closely related to the model organism Chlamydomonas reinhardtii, has an mtDNA GC content of 57% (Smith and Lee, 2008). All other investigated Polytomella species, however, have AT-rich mtDNAs (Smith et al., 2010). Partial mitochondrial genome sequences suggest that the freshwater biflagellates Oogamochlamys gigantea, Lobochlamys segnis, and Lobochlamys culleus, which are also close relatives of C. reinhardtii, have mtDNA GC compositions of approximately 50, 55, and 60%, respectively (Borza et al., 2009). The polar trebouxiophyte Coccomyxa subellipsoidea C-169 has a GC-bias in both its mitochondrial and plastid compartments (53 and 51% GC, respectively), and organelle gene sequencing indicate that Coccomyxa chodatii and Coccomyxa rayssiae have GC-rich organelle DNAs as well (Smith et al., 2011). The picoplankton Picocystis salinarum, a deep-branching prasinophyte, appears to have an mtDNA GC content exceeding 60%. And rbcL sequences imply that there are GC-enriched plastid genomes in select members of the charophyte genera Mesotaenium and Hormidiella (Gontcharov and Melkonian, 2010; Rindi et al., 2011).
The highest recorded GC content in an mtDNA (68%) and a ptDNA (55%) belong to the seedless vascular plants Selaginella moellendorffii and Selaginella uncinata, respectively (Tsuji et al., 2007; Hecht et al., 2011). Like C. subellipsoidea, Selaginella species have a GC-bias in both their mitochondrial and plastid compartments (Smith, 2009). Plastid gene sequences of more than 100 Selaginella species from diverse regions revealed only one species without GC-biased ptDNA: the Chinese specimen Selaginella sinensis (Smith, 2009). Other lycophytes, including several Isoetes species, also have relatively high mtDNA GC contents (Malek and Knoop, 1998; Grewe et al., 2009). Analyses of rbcL genes suggests that some ferns from the genera Cheiropleuria, Coniogramme, Cystopteris, Dryopteris, and Monachosorum have a GC-bias in their ptDNA (Ebihara et al., 2010; de Groot et al., 2011).
Animals and Fungi
There are at least 25 species of fish with overall mtDNA GC contents >50%, such as the wolf herring Chirocentrus dorab (53%), the Pacific porthole fish Diplophos taenia (52%), and the beaked salmon Gonorynchus greyi (52%; Miya and Nishida, 2000; Saitoh et al., 2003; Ishiguro et al., 2005). Moreover, cox1 nucleotide content analyses suggest that potentially hundreds, if not thousands, of other teleosts, from many different orders, have GC-biased mtDNA. Single-gene nucleotide content analyses have revealed various birds, frogs, and corals with GC-rich mitochondrial genomes (Kerr et al., 2007; Crawford et al., 2010). The European penduline tit Remiz pendulinus, the turtle frog Myobatrachus gouldii, and the zoanthid coral Mesozoanthus fossii all appear to have particularly high mtDNA GC contents. Among fungi, the pathogenic yeast Candida subhashii is the only species known to have GC-rich mtDNA (53%; Fricova et al., 2010).
One of the earliest discoveries of GC-rich mtDNA came from the cox1 sequence of the euglenozoan Diplonema papillatum, a unicellular phagotrophic marine flagellate (Maslov et al., 1999). Further sequencing of mtDNA from this species has confirmed that its mitochondrial genome is enriched in G and C (∼55%; Vlcek et al., 2011). Other investigated members of the genus have AT-rich mtDNAs (Kiethega et al., 2011).
Organelle Genome Architecture and GC Content
The available GC-rich organelle genomes (Figures 1 and 2) vary greatly in size, gene content, and coding density (Table 1). For instance, the mtDNA of P. capuana is small and compact (13 kb, >80% coding, and no introns; Smith and Lee, 2008) whereas that of S. moellendorffii is large and distended (250 kb, >80% non-coding, and 37 introns; Hecht et al., 2011). There are, however, several reoccurring architectural themes among GC-biased organelle genomes (Table 1).
In the mtDNAs of the chlorophyceans L. culleus and P. capuana and the yeast C. subhashii, a high GC content is partnered with a linear genome conformation and, for the latter two species, distinct telomeric structures (Smith and Lee, 2008; Borza et al., 2009; Fricova et al., 2010). GC-rich mtDNAs are sometimes fragmented into multiple chromosomes, as seen in Oogamochlamys algae and the euglenozoan D. papillatum (Borza et al., 2009; Vlcek et al., 2011); these same taxa, along with P. capuana and S. moellendorffii, also contain fragmented and/or trans-spliced mtDNA genes (Kiethega et al., 2011).
For some species, a high organelle GC content is associated with a small number of tRNA-coding regions: P. capuana and S. moellendorffii have the most reduced mitochondrial tRNA-coding suites observed from the Archaeplastida: 1 and no tRNAs, respectively. A low tRNA content is also found in the Selaginella plastid genome (Tsuji et al., 2007; Smith, 2009) and the mtDNAs of D. papillatum and zoanthid corals (Sinniger et al., 2007; Vlcek et al., 2011).
In certain cases, organelle genome GC richness is allied with high levels of post-transcriptional editing, particularly cytosine-to-uracil changes. Hundreds of C-to-U editing sites have been identified in the GC-biased mitochondrial and plastid genomes of Selaginella species (Tsuji et al., 2007; Smith, 2009; Hecht et al., 2011). And for land plants as a whole there is a positive relationship between organelle GC content and the abundance of C-to-U editing sites (Jobson and Qiu, 2008). In the GC-rich mtDNA of D. papillatum, some mitochondrial transcripts experience U-insertion-type RNA editing (Kiethega et al., 2011). Given that organelle RNA editing tends to be a uracil-enriching process, it may turn out that some GC-rich mtDNAs and ptDNAs, once all of their edited sites are uncovered, have AT-rich transcriptomes.
What’s Causing Organelle Genome GC Enrichment?
Examining the distribution of GC among different regions within a genome, different genomes within a cell, and different species within a group can give insights into the forces that govern GC composition. The available GC-rich organelle DNAs come from an assortment of taxa belonging to disparate lineages (Figure 3). In some cases, the GC-bias is found in both the mitochondrial and plastid compartments of a species and in multiple species within a group, as observed for the spikemoss Selaginella and the trebouxiophyte Coccomyxa (Figure 3). In other examples, the GC-bias is restricted to either the mtDNA or ptDNA and/or is present in only a single species within the group, as seen for the green algae Polytomella and Picocystis (Figure 3). This variation in the presence and absence of GC-rich organelle DNA indicates that the processes biasing mitochondrial and plastid genomes in GC likely differ between lineages.
For many GC-rich organelle genomes, particularly those of green algae and the coral Mesozoanthus fossii (Figures 1 and 2), the concentration of GC is highest at silent sites, such as non-coding and synonymous sites (Table 1). This implies that in some organelle systems there is a non-adaptive underpinning to the GC-bias (Kimura, 1983). Two non-adaptive processes that can influence nucleotide landscape are biased mutation pressure and biased gene conversion. In most species, mtDNA and ptDNA mutation pressure seems to be skewed toward A and T (discussed above). Gene conversion, however, favors G and C in most genomes in which it has been studied (Mancera et al., 2008; Duret and Galtier, 2009; Muyle et al., 2011), with the exception of the tobacco ptDNA where it is AT biased (Khakhlova and Bock, 2006). Genomic regions with high rates of recombination undergo more gene conversion events than those with low recombination rates. In this context, it is noteworthy that some GC-rich organelle genomes are highly recombinogenic (Dieckmann and Gandy, 1987; Smith and Lee, 2008; Borza et al., 2009; Hecht et al., 2011), which may be a sign of a GC-biased conversion process. Moreover, in a variety of organelle genomes, including AT-rich ones, repeat elements (sequences that presumably undergo high levels of recombination) often have inflated GC contents (de Zamaroczy and Bernardi, 1986; Nedelcu and Lee, 1998). DNA methylation can also influence GC content – by promoting cytosine deamination events – but GC-rich mtDNAs and ptDNAs, like those of S. moellendorffii, do not have lower levels of methylation than those that are AT-rich (Zemach et al., 2010).
In other organelle DNAs, like those from land plants, the GC content is highest at functionally constrained sites, such as first and second codon positions (Table 1), suggesting that the GC-bias is the product of natural selection. Complicating this interpretation, however, is the fact that many of the cytosines residues at the non-silent sites from these taxa are post-transcriptionally edited to uracil (Jobson and Qiu, 2008; Smith, 2009; Hecht et al., 2011). Other adaptive hypotheses for a high GC composition include increased DNA thermo stability and UV tolerance. But these arguments seem implausible given that many GC-rich organelle DNAs come from species living in extremely cold habitats (e.g., C. subellipsoidea originates from Marble Point Antarctica) or environments with little UV light (e.g., the pathogenic yeast C. subhashii; Table 1).
For some species there is a correlation between lifestyle and organelle DNA GC content. Within the Coccomyxa genus, the three taxa known to have GC-rich organelle genomes are non-lichenized, free-living species, whereas all investigated symbiont Coccomyxa species have AT-rich organelle DNA (Smith et al., 2011). In the case of Candida, a parasitic lifestyle correlates with extreme organelle genome nucleotide compositions: the mtDNA of C. subhashii has one of the highest GC contents observed from the opisthokonts (Fricova et al., 2010) and that of its close relative Candida castellii is remarkably AT-rich (87%; Figure 1; Bouchier et al., 2009). The high mitochondrial GC contents of certain animals, such as frogs and fish (Figures 1 and 2), may be a reflection of them having low metabolic rates and consequently reduced mtDNA damage from oxygen free radicals (Martin, 1995).
Although data are limited, organelle DNA GC enrichment does not appear to be associated with nuclear DNA GC enrichment: C. subellipsoidea and S. moellendorffii have had their nuclear genomes completely sequenced (Banks et al., 2011; Blanc et al., 2012), revealing overall GC contents of ∼50%, which is unremarkable relative to the nuclear genomes of other green plants. However, the availability of these nuclear sequences will allow researchers to explore the full complement of nuclear-encoded mitochondrial- and plastid-targeted proteins, which should give insight into the biochemical and metabolic processes occurring within these organelles. Already, it has been revealed that the C. subellipsoidea nuclear genome lacks the plastid-targeted gene for the photosystem 1 (PSI) reaction center subunit N (psaN), which codes for a protein involved in the docking of plastocyanin. Interestingly, psaN-lacking strains of Arabidopsis, although maintaining a functional PSI complex, have reduced rates of electron transfer from plastocyanin to PSI (Haldrup et al., 1999). It is hypothesized that for C. subellipsoidea the unique loss of psaN may lead to reduced ROS formation (Blanc et al., 2012), which could help explain the high GC content of its organelle DNAs.
Organelle genomes are models for studying the evolution of genome size and structure (Nosek and Tomáska, 2003; Lynch et al., 2006). Now, with the discovery of GC-rich mtDNAs and ptDNAs, they have established themselves as excellent systems for exploring the origins of nucleotide landscape. The presence of GC-biased organelle DNA in key research lineages, like Selaginella, Candida, and Chlamydomonadalean algae, and the availability of complete organelle and nuclear genome sequences from these groups provide promising avenues for future studies on nucleotide composition. I predict that in the years to come GC-rich organelle DNAs will help further our understanding of nucleotide composition and its relationship with other aspects of genome architecture.
Conflict of Interest Statement
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
David Roy Smith is supported by postdoctoral fellowships from the Natural Sciences and Engineering Research Council of Canada and the Izaak Walton Killam Trusts.
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