Abstract Mitochondrial DNA sequences are frequently transferred into the nuclear genome, giving rise to numts (nuclear mitochondrial DNA segments). In the absence of whole genomes, avian numts have been suggested to be rare and relatively short. We examined 64 bird genomes to test hypotheses regarding numt frequency, distribution among taxa, and likelihood of homoplasy. We discovered 100-fold variation in numt number across species. Two songbirds, Geospiza fortis (Darwin’s finch) and Zonotrichia albicollis (white-throated sparrow) had the largest number of numts. Ancestral state reconstruction of 957 numt insertions in these two species and their close relatives indicated a remarkable acceleration of numt insertion in the ancestor of Geospiza and Zonotrichia followed by slower, continued accumulation in each lineage. These numts appear to result primarily from de novo insertion with the duplication of existing numts representing a secondary pathway. Insertion events were essentially homoplasy-free and numts appear to represent perfect rare genomic changes. rare genomic changes, avian genome, numts, homoplasy-free, rate burst Nuclear mitochondrial DNA segments (Numts), which result from insertion of mitochondrial DNA (mtDNA) into the nuclear genome, have been described in numerous eukaryotes (Lopez et al. 1994; Hazkani-Covo et al. 2010). The genomics era has led to an explosion of information about the numt repertoire of taxa ranging from fungi and plants to mammals (Hazkani-Covo et al. 2010). Those studies revealed substantial heterogeneity in numbers of numts across taxa (Bensasson et al. 2001; Hazkani-Covo et al. 2010), with some species (e.g., humans) having relatively large numbers (e.g., Mourier et al. 2001; Tourmen et al. 2002). The factors that result in variation in numt numbers among genomes are unclear, but genome size may be important (Hazkani-Covo et al. 2010). Historically, systematists focused on avoiding PCR amplification of numts because they can mislead barcoding, phylogenetic, and phylogeographic studies (Bensasson et al. 2001; Bertheau et al. 2011). In the genomic era, however, numts are of intrinsic evolutionary interest for several reasons (Bensasson et al. 2001; Tourmen et al. 2002; Leister 2005). First, the rate of nuclear sequence evolution is lower than the mitochondrial rate in vertebrates, so numts can provide information about ancestral mitochondrial sequences (Hu and Thilly 1994; Zischler et al. 1995; Bensasson et al. 2001; Tourmen et al. 2002). Second, numts could represent a novel type of rare genomic changes (RGC) for systematic studies (Hazkani-Covo 2009). Ideal RGCs are homoplasy-free and can accurately reconstruct a single bipartition in their associated gene tree. Therefore, identifying ideal RGCs is valuable for phylogenomic studies. Avian numts have been suggested to be uncommon and relatively short (Pereira and Baker 2004; but see Nacer and do Amaral 2017 regarding falcons). If genome size correlates with numt numbers, the low variation in avian genome sizes (Zhang et al. 2014) suggests limited variation in numt numbers among species. However, avian studies have rarely leveraged complete genomes. Using 64 complete avian genomes, we tested the following hypotheses: 1) numts are uncommon in avian genomes; 2) numbers of numts do not vary substantially among taxa; and 3) numts fit an RGC model and exhibit little or no homoplasy. Different Avian Genomes Exhibit Remarkable Variation in Numt Content We discovered remarkable variation across species in numt number, ranging from four to >600 numts (fig. 1A), the highest values approaching the upper estimates from the human genome (Hazkani-Covo et al. 2010). Thus, we can reject our first two hypotheses (numts are uncommon and numbers of numts do not vary much among taxa). We examined <1% of extant bird species (Brown et al. 2017), thus, it is reasonable to expect broader surveys to reveal additional variation in numt number. One clade was a clear outlier: the White-throated sparrow (Zonotrichia albicollis, a New world sparrow) and the Medium ground finch (Geospiza fortis, a tanager and one of Darwin’s Galápagos finches). The numts in these taxa are unlikely to reflect genome assembly errors because the genomes for both taxa reflect high-coverage sequencing (>63×) and the assemblies were generated using different software. Moreover, the Geospiza and Zonotrichia numt insertions met the stringent criteria described in our supplementary methods, Supplementary Material online. Finally, these genomes are similar in size to other avian species (Zhang et al. 2014), indicating the large numbers of numt insertions in these taxa do not reflect a simple correlation with genome size. Fig. 1 View largeDownload slide Numt repertoire of avian genomes. (A) Number of numts in each bird genome mapped on the Brown et al. (2017) synthetic tree topology, with branches shaded to indicate the major clades described in Reddy et al. (2017). The five species examined in more detail are bolded. The number of numt insertions we identified in falcons is similar to Nacer and do Amaral (2017). (B) Time-calibrated tree for the five focal passerines indicating the number of numt loci where presence/absence could be scored in all taxa. Character states are shown graphically and the number of numts with each character state is indicted using italic numbers, either at the internal nodes (for numt insertions found in multiple taxa) or adjacent to the taxon names (for numts in a single taxon). Numt insertions where the taxonomic distribution could not be unambiguously assigned were omitted from part B (see supplementary fig. S7, Supplementary Material online). Estimates of numt insertion rates are presented below branches (the elevated rates in Geospiza, Zonotrichia, and their ancestral lineage are highlighted). “+1” indicates a potentially homoplastic locus. Fig. 1 View largeDownload slide Numt repertoire of avian genomes. (A) Number of numts in each bird genome mapped on the Brown et al. (2017) synthetic tree topology, with branches shaded to indicate the major clades described in Reddy et al. (2017). The five species examined in more detail are bolded. The number of numt insertions we identified in falcons is similar to Nacer and do Amaral (2017). (B) Time-calibrated tree for the five focal passerines indicating the number of numt loci where presence/absence could be scored in all taxa. Character states are shown graphically and the number of numts with each character state is indicted using italic numbers, either at the internal nodes (for numt insertions found in multiple taxa) or adjacent to the taxon names (for numts in a single taxon). Numt insertions where the taxonomic distribution could not be unambiguously assigned were omitted from part B (see supplementary fig. S7, Supplementary Material online). Estimates of numt insertion rates are presented below branches (the elevated rates in Geospiza, Zonotrichia, and their ancestral lineage are highlighted). “+1” indicates a potentially homoplastic locus. A Burst of Numt Insertions in Tanagers and New World Sparrows We focused additional analyses on a clade of five passerines that included Geospiza and Zonotrichia (fig. 1A). We identified 957 orthologous loci with numts present in at least one taxon, and scored the numts as present or absent in all five taxa. An additional 74 orthologous loci were found in some, but not all taxa; this could reflect the loss of the orthologous sequence in some taxa or a failure of some genome assemblies to include the orthologous region. The insertions in Geospiza or Zonotrichia totaled over 160 kilobases (kb) and covered the entire mitochondrial genome (fig. 2). It appears that all mtDNA regions have a similar propensity to integrate into the nuclear genome, with specific regions having a modest overrepresentation at most. Most numt loci included a single mtDNA sequence, although some numt loci comprised two or three mtDNA segments (supplementary methods and tables S1 and S2, Supplementary Material online). Fig. 2 View largeDownload slide Positions in the mitochondrial genome matching numts in each focal taxon (form top to bottom are: Zonotrichia, Geospiza, Serinus, Ficedula, and Taeniopygia). Ribosomal RNAs, protein-coding genes, and the control region are defined on the map, transfer RNA genes are indicated with lines. Because the mitogenome is circular, this map begins at the tRNA-Phe, immediately before the 12S ribosomal RNA. Numts that span the (arbitrarily chosen) start point of our map are shown at the end; this necessitated repeating the 12S ribosomal RNA (we indicate this using a dotted line and different shades below the gene map). Fig. 2 View largeDownload slide Positions in the mitochondrial genome matching numts in each focal taxon (form top to bottom are: Zonotrichia, Geospiza, Serinus, Ficedula, and Taeniopygia). Ribosomal RNAs, protein-coding genes, and the control region are defined on the map, transfer RNA genes are indicated with lines. Because the mitogenome is circular, this map begins at the tRNA-Phe, immediately before the 12S ribosomal RNA. Numts that span the (arbitrarily chosen) start point of our map are shown at the end; this necessitated repeating the 12S ribosomal RNA (we indicate this using a dotted line and different shades below the gene map). Examination of the 957 loci without missing data revealed 649 numts unique to a single taxon (fig. 1B). Of the shared insertions, 33 numts appeared to reflect insertions prior to the divergence of Serinus canaria (canary) from the Geospiza-Zonotrichia clade; 13 of those numts appear to have been present in the common ancestor of all five passerines (fig. 1B). A much larger number of numts were present in the common ancestor of Geospiza and Zonotrichia; the estimated insertion rate is approximately two orders of magnitude greater than the rate outside of these two species (fig. 1B). The rate for the Geospiza and Zonotrichia terminal branches was lower, though it still exceeded the ancestral insertion rate. These results suggest a remarkable pulse of numt insertions followed by a decrease within the Geospiza-Zonotrichia clade. There are three potential models for numt insertions across our focal taxa: 1) insertions occurred at a constant rate (continuous); 2) a single rate shift in the common ancestor of Geospiza and Zonotrichia; and 3) two rate shifts occurred (an increase in their common ancestor followed by a decrease). This third model can be viewed as a punctuated model; such patterns have been documented in both primates and plants (e.g., Adams et al. 2002; Gunbin et al. 2017). Our insertion rate estimates (fig. 1B) are most consistent with the third model. However, there is evidence of recent insertions in both Geospiza and Zonotrichia. Recent numt insertions should exhibit a higher degree of identity to functional mitochondrial sequences and be longer. The former is due to the accumulation of point mutations while the latter is that numt length tends to decrease after insertion (Hazkani-Covo and Martin 2017) because small deletions outnumber small insertions (Johnson 2004). Some long (>1,000 bp) numts are present in either Geospiza or Zonotrichia but the shared insertions are shorter (fig. 3). The longest numts (>750 bp) unique to Geospiza exhibited a higher degree of identity to the Geospiza mitogenome (mean >91%) than the longest numts present in three or more taxa (mean <75%, see supplementary table S2, Supplementary Material online); the Zonotrichia mitogenome sequence is unavailable so we only conducted this analysis in Geospiza. Taken as a whole, these data suggest some recent numt insertions in Geospiza and Zonotrichia but the rate of numt accumulation was clearly higher in their common ancestor. Fig. 3 View largeDownload slide Histogram of numt length distribution for Geospiza fortis and Zonotrichia albicollis. Numts are split into those unique to each taxon (the leftmost bars in the numt length categories), those only present in both Geospiza and Zonotrichia (the middle bars), and those shared by Geospiza, Zonotrichia, and at least one additional species (the rightmost bars). Fig. 3 View largeDownload slide Histogram of numt length distribution for Geospiza fortis and Zonotrichia albicollis. Numts are split into those unique to each taxon (the leftmost bars in the numt length categories), those only present in both Geospiza and Zonotrichia (the middle bars), and those shared by Geospiza, Zonotrichia, and at least one additional species (the rightmost bars). The numt presence/absence pattern for our five focal species appeared to be essentially homoplasy-free (fig. 1B), supporting our hypothesis that numts fit the RGC model. Indeed, the apparent absence of homoplasy seems surprising given extensive discordance among avian gene trees (e.g., Jarvis et al. 2014). Discordance among gene trees can drive the appearance of homoplasy even for characters that are actually homoplasy-free (supplementary text S1 and figs. S1 and S2, Supplementary Material online). We did find two numts with unclear insertion boundaries that appeared homoplastic (supplementary alignment, Supplementary Material online). However, even if we include those two loci the consistency index (Kluge and Farris 1969) was 0.999. Indeed, if we relax the no homoplasy assumption and estimate ancestral states using maximum likelihood, numt insertion rate estimates are essentially unchanged (supplementary fig. S3, Supplementary Material online). What Drives Numt Insertions? The transposition of mtDNA into the nuclear genome has occurred continuously over time (Mourier et al. 2001; Hazkani-Covo et al. 2010). Work in yeast suggests numt insertion reflects passive capture of mtDNA into nuclear double-stranded DNA breaks (DSBs) by the nonhomologous end joining (NHEJ) repair machinery (Ricchetti et al. 1999); this is probably the major numt insertion mechanism in many taxa (Hazkani-Covo and Covo 2008). Numt loci can reflect independent mtDNA insertions due to DSBs or postinsertion duplications (Bensasson et al. 2003; Hazkani-Covo et al. 2003). The de novo insertion hypothesis implies numts would correspond to many different mtDNA segments, as we found (fig. 2). However, a few mitogenomic regions appeared overrepresented as numts (supplementary fig. S4, Supplementary Material online). This could indicate a role for postinsertion duplications or hotspots for transfer. We identified some duplicated flanking sequences, as predicted by the postinsertion duplication model (supplementary fig. S5, Supplementary Material online), though we cannot rule out a contribution of hotspots. Regardless, de novo insertion appears to explain most of the numts in Geospiza and Zonotrichia. What might have led to the burst of insertions in the ancestor of Geospiza and Zonotrichia? First, a substantial increase in the rate of DSBs in the ancestor could drive the observed pattern. The primary endogenous source of DSBs appears to be the blockage or pausing of replication forks (Mehta and Haber 2014). The basis of replication fork blockage is complex, and is likely to be very difficult to reconstruct for ancestral lineages like the Geospiza-Zonotrichia ancestor. Second, a mutation that reduced the fidelity of NHEJ during DSB repair could also increase the rate of numt insertion. Finally, increased leakage of DNA from the mitochondrion could also drive an increased numt insertion rate. Mutations that reduce the integrity of the mitochondrion and lead to an increased insertion of numts in somatic tissue are known (Srinivasainagendra et al. 2017); assuming this also occurs in the germline it would lead to an increased numt insertion rate. We examined the best-characterized gene that affects mitochondrial leakage (i.e., orthologs of yeast YME1, Thorsness and Fox 1993) and were unable to find a clear pattern to explain our observations (supplementary text S2 and fig. S6, Supplementary Material online). The reduced insertion rate on the terminal branches (fig. 1B) suggests the process(es) that drove the burst are no longer active, making it difficult to test these hypotheses. However, these hypotheses could be tested in taxa with an ongoing burst of numt insertions (we expect such a taxon to have many polymorphic numts) since the numbers of DSBs and mitochondrial integrity could be examined in those taxa. The Importance of Numts for Understanding Evolution One significant result is the observation that numt insertions are essentially homoplasy free, making them virtually perfect RGCs. The DSB mechanism is consistent with numt insertions being perfect RGCs because the locations of DSBs should be random throughout the genome rather than occurring independently at the same site in different taxa. This is in contrast to better-studied RGCs, like transposable element insertions or microinversions, which appear to exhibit some true homoplasy (Braun et al. 2011; Han et al. 2011). Perfect RGCs define gene tree bipartitions accurately and so can provide accurate estimates of the amount of incomplete lineage sorting deep in the tree (Matzke et al. 2012; Jarvis et al. 2014; Suh et al. 2015). A large number of true gene tree partitions would provide a unique source of information about ancient population processes; numts are most useful for divergences that occurred during the burst of insertions and they should outperform other RGCs during a burst. We have only begun to survey avian genomes so it seems reasonable to expect additional numt insertion bursts. In fact, the other lineages with moderately large numbers of numts (fig. 1) could have relatives with a much larger numt repertoire; sequencing of those related taxa could reveal additional bursts of numt insertions. Methods We searched 64 avian genomes using related mitogenomes as BLASTN (Camacho et al. 2009) queries. We then focused on five passerine species where we conducted BLASTN searches with the flanks of the 1,031 numts identified in those taxa; the numt was scored as present (1), absent (0), or unknown (?) for each of the five species (957 loci had data for all taxa). We estimated the time tree with 100 intron loci from Jarvis et al. (2014) using RAxML (Stamatakis 2014) and treePL (Smith and O’Meara 2012) assuming Corvus and Geospiza diverged 20.526 Ma based on Jarvis et al. (2014). Estimates of numt insertion rates were obtained by dividing the number of insertions on each branch by the length of that branch. For additional details see supplementary methods and fig. S7, Supplementary Material online. Supplementary Material Supplementary data are available at Molecular Biology and Evolution online. Acknowledgments We are grateful to the help from Joseph Brown in reconstructing the distribution plot. Stephen Smith provided useful comments on the first version of the manuscript. We thank the constructive comments from the three anonymous reviewers and editors. 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Molecular Biology and Evolution – Oxford University Press
Published: Aug 1, 2018
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