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Increasing phylogenetic resolution at low taxonomic levels using massively parallel sequencing of chloroplast genomes

Matthew Parks, Richard Cronn, Aaron Liston

BMC Biology · 2009 · Meta-analysis

doi:10.1186/1741-7007-7-84

Abstract

Background. Molecular evolutionary studies share the common goal of elucidating historical relationships, and the common challenge of adequately sampling taxa and characters. Particularly at low taxonomic levels, recent divergence, rapid radiations, and conservative genome evolution yield limited sequence variation, and dense taxon sampling is often desirable. Recent advances in massively parallel sequencing make it possible to rapidly obtain large amounts of sequence data, and multiplexing makes extensive sampling of megabase sequences feasible. Is it possible to efficiently apply massively parallel sequencing to increase phylogenetic resolution at low taxonomic levels?

Results. We reconstruct the infrageneric phylogeny of Pinus from 37 nearly-complete chloroplast genomes (average 109 kilobases each of an approximately 120 kilobase genome) generated using multiplexed massively parallel sequencing. 30/33 ingroup nodes resolved with ≥ 95% bootstrap support; this is a substantial improvement relative to prior studies, and shows massively parallel sequencing-based strategies can produce sufficient high quality sequence to reach support levels originally proposed for the phylogenetic bootstrap. Resampling simulations show that at least the entire plastome is necessary to fully resolve Pinus, particularly in rapidly radiating clades. Meta-analysis of 99 published infrageneric phylogenies shows that whole plastome analysis should provide similar gains across a range of plant genera. A disproportionate amount of phylogenetic information resides in two loci (ycf1, ycf2), highlighting their unusual evolutionary properties.

Conclusion. Plastome sequencing is now an efficient option for increasing phylogenetic resolution at lower taxonomic levels in plant phylogenetic and population genetic analyses. With continuing improvements in sequencing capacity, the strategies herein should revolutionize efforts requiring dense taxon and character sampling, such as phylogeographic analyses and species-level DNA barcoding.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 17, 2026. Paragraph numbers are ours, so an answer can point at one.

Background

Molecular phylogenetic and phylogeographic analyses are typically limited by DNA sequencing costs, and this forces investigators to choose between dense taxon sampling with a small number of maximally informative loci, or genome-scale sampling across a sparse taxon sample. Balancing these choices is particularly difficult in studies focused on recently diverged taxa or ancient rapid radiations, as taxon sampling needs to be sufficiently large to define the magnitude of intraspecific variation and the phylogenetic depth of shared alleles. Similarly, broad genome sampling is necessary to offset the low level of genetic divergence among individuals of recent co-ancestry and to overcome low phylogenetic signal to noise ratios characteristic of rapid radiations. Next generation DNA sequencing is poised to bring the benefits of affordable genome-scale data collection to such studies at low taxonomic levels (genera, species, and populations). Massively parallel sequencing (MPS) has increased per instrument sequence output several orders of magnitude relative to Sanger sequencing, with a proportional reduction in per-nucleotide sequencing costs. In principle this could allow the rapid sequencing of large numbers of entire organellar genomes (chloroplast or mitochondria) or nuclear loci, and result in greatly increased phylogenetic resolution. To date, comparatively few plant or animal evolutionary genetic analyses have utilized MPS, due to associated costs and the technical challenge of assembling large contiguous sequences from micro-reads. These barriers have been largely eliminated through four innovations: development of strategies for targeted isolation of large genomic regions; harnessing the capacity of these platforms to sequence targeted regions in multiplex; streamlining sample preparation and improving throughput; and developing accurate de novo assemblers that reduce reliance upon a predefined reference sequence.

In this paper we demonstrate the feasibility and effectiveness of MPS-based chloroplast phylogenomics for one-third of the world's pine species (Pinus), a lineage with numerous unresolved relationships based on previous cpDNA-based studies. We also highlight the broad applicability of our approach to other plant taxa, and remark on the potential applications to similar mitochondrial-based studies in animals and plant DNA barcoding. Using multiplex MPS approaches, we sequenced nearly-complete chloroplast genomes (120 kilobases (kb) each total length) from 32 species in Pinus and four relatives in Pinaceae. Our sampling of Pinus includes both subgenera (subg. Pinus, 14 accessions; subg. Strobus, 21 accessions) and species exemplars chosen from all 11 taxonomic subsections to evenly cover the phylogenetic diversity of the genus. Taxon density is highest for a chosen subsection (subsect. Strobus) as representative of a species-rich clade lacking phylogenetic resolution in previous studies. Three species are also represented by two chloroplast genomes each (P. lambertiana, P. thunbergii, P. torreyana).

Genomic Assemblies and Alignment

Assemblies in subgenus Strobus averaged 117 kb, with an estimated 8.8% missing data (compared to P. koraiensis reference); subg. Pinus assemblies averaged just less than 120 kb (6% estimated missing data, compared to P. thunbergii reference). Outgroup assemblies averaged just over 119 kb (10.4% average estimated missing data compared to P. thunbergii reference). Median coverage depth for determined positions was variable but typically high (range 21 to 156×) (Table 1, [also see additional file 1]). Full alignment of all assemblies was 132,715 bp in length, including 62,298 bp from exons encoding 71 conserved protein coding genes (20,638 amino acids), 36 tRNAs and 4 rRNAs. A high degree of co-linearity is inferred for these genomes due to the absence of major rearrangements within de novo contigs, and by the overall success of the polymerase chain reaction-based sequence isolation strategy (indicating conservation of the order of anchor genes containing primer sites). However, minor structural changes (a tandem duplication in two species and the apparent loss of duplicate copies of psaM and rps4 in P. koraiensis) could not be confirmed. No evidence of interspecific recombination was detected, consistent with the rarity of recombination in plant plastomes.

The aligned matrix contained 7,761 parsimony informative ingroup substitutions (4,286 non-coding positions and 3,475 coding positions) (Table 2). Over one-half of parsimony informative sites (55.0%) in protein coding regions resided in ycf1 and ycf2, two large genes of uncertain function, that accounted for 22% of all exon sequence (Figure 1A, B). No other exons in the pine plastome exhibit such a disproportionate number of parsimony informative sites (Figure 1C). These loci have an elevated nonsynonymous substitution rate (Table 3) and appear to have a substantial number of indels in Pinus, although it was not possible in many cases to confidently score indels in these loci due to the inherent limitations of reference-guided assembly of short reads in length variable regions. Start codon position, overall length and stop codon positions were nonetheless largely preserved in these loci across the genus. In addition to substitutions in exons, 48 ingroup exon indels and 23 ingroup stop codon shifts were identified in 26 loci.

Phylogenetic Resolution in Non-Random and Randomized Data Partitions

Full alignment partitions yielded a higher proportion of highly supported nodes, with 88 to 91% (29 to 30/33) of ingroup nodes resolved with bootstrap support ≥ 95% in likelihood analysis. The four largest data partitions tested (full alignment and concatenated exon nucleotides, both with and without ycf1 and ycf2) yielded results that were topologically identical with the exception of four taxa (P. albicaulis, P. krempfii, P. lambertiana N, P. parviflora) (Figures 2 and 3). In addition, support for the branching order of P. cembra, P. koraiensis and P. sibirica was low in full alignment partitions. Topological differences were found to be significant according to Shimodaira-Hasegawa comparisons of the full alignment topology to two of the other major partitions (full alignment and exon nucleotides without ycf1 and ycf2). Trends in significance were most strongly influenced by the two alternative positions of P. krempfii (Figure 2 vs. Figure 3A, C; Table 4). With the exception of P. krempfii, areas of topological uncertainty reside in a single clade that historically has lacked internal resolution (subsection Strobus). Coalescent estimations suggest that these poorly resolved subsection Strobus haplotypes diverged in rapid succession relative to the age of their shared nodes (0.009 to 0.44 coalescent units, or ca. 90,000 to 450,000 years) (Table 5). A putative chloroplast capture event in P. lambertiana previously documented was also supported with whole-plastome results. Substantial resolution was achieved in analyses of ycf1 and ycf2 data partitions, however we observed several topological differences from the full alignment with high support (primarily involving the species discussed above) (Figure 4).

Of the 71 exon coding indels and stop codon shifts identified, 35 mapped unambiguously to monophyletic groups (that is, no accessions in a group were missing data for that event) (Figures 5 and 6). All of these groups had strong support in nucleotide-based phylogenetic analyses (100% likelihood and parsimony bootstrap support). The remainder of these events were primarily either putatively monophyletic (missing data in one or more members of a clade) or showed strong evidence of homoplasy (Figures 5 and 6).

In parsimony analyses of variable-sized jackknife samples of our full alignment, nodal support showed a strong positive correlation with the length of the nucleotide matrix (proportion nodes ≥ 95% = -1.0808 + 0.38497*log10 [matrix size, bp]; r2 = 0.915, P < 0.0001) (Figure 7A). Resolution of full alignment and exon nucleotide partitions was indistinguishable from random jackknife samples of comparable size, indicating similar phylogenetic content of these partitions and corresponding similar-sized random genomic subsamples. Partitions consisting of ycf1 and ycf2 - in particular ycf1, and ycf1 and ycf2 combined - showed significantly higher resolution than the genome-wide average (Figure 7A). The concatenated partition ycf1 + ycf2 (13.1 kb; 77.4% nodes ≥ 95% bootstrap support) yielded only slightly less phylogenetic resolution than all exons combined (62.3 kb; 80.6% nodes ≥ 95% bootstrap support) in parsimony analysis.

Comparisons to Previous Pinus Phylogenies

Previous cpDNA based estimates of infrageneric relationships in Pinus sampled the same species and/or lineages as our study, and inferred relationships using 2.82 to 3.57 kb of chloroplast DNA. Results of these studies are largely consistent with our results, although highly supported nodes (≥ 95%) accounted for only 13 to 23% of the total ingroup nodes (23% to 42% if adjusted to match our species composition). The empirical results of these studies fell within or close to the 95% prediction intervals established from our jackknife resampling response from our full genome alignment (Figure 7A), indicating that the loci used in prior studies (primarily rbcL and matK) are similarly informative as a comparable sample of random nucleotides from the chloroplast genome.

Meta-Analysis of Published Infrageneric Studies

From our sampling, infrageneric analyses in plants published from 2006 to 2008 were typically based on 2574 aligned bp (95% bootstrap confidence interval: 2,292, 2,864) of sequence data, evaluated 31.7 ingroup species (95% bootstrap confidence interval: 20.2, 43.2), and resolved 22.6% of nodes at ≥ 95% bootstrap support (95% bootstrap confidence interval: 18.6, 26.5). Regression analysis shows that the proportion of highly resolved nodes in these studies is significantly and positively correlated with matrix length (F1,96 = 18.032; r2 = 0.149; P < 0.0001) but not the number of included taxa (F1,97 = 0.546; r2 = 0.006; P = 0.461), although there was a negative trend in the latter (Figure 7B, C). Our current sample size is typical in the number of taxa sampled, but both matrix length (132.7 kb) and the proportion of highly bootstrap-supported nodes (84.8% parsimony, 90.3% maximum likelihood) were substantially higher.

Discussion

Our results highlight that whole plastome sequencing is now a feasible and effective option for inferring phylogenies at low taxonomic levels. Compared to previous chloroplast-based phylogenetic analyses in Pinus, our data matrix contained approximately 60 times more phylogenetically informative characters resulting in an approximately two- to four-fold increase in the proportion of highly resolved nodes (after adjusting results of previous studies to match our species composition) (Figure 8, Table 2). An important question arising from these comparisons is whether the difference in resolution is entirely attributable to the increase in nucleotides, or whether the genomic partitions sequenced in prior studies were less informative on average than the rest of the genome. In fact, the resolution provided by loci used in previous Pinus studies is indistinguishable from or slightly greater than that of comparably sized random genomic subsamples from our full alignment. Combined with the strong correlation between resolution and the size of random genomic subsample, this suggests that the increase in resolution in this study is primarily due to the increase in matrix length. This is further supported by a significant relationship between resolution and matrix length in a broad sampling of chloroplast-based infrageneric phylogenies. Based on these results, we predict that whole-plastome analysis will yield similar gains in phylogenetic resolution not only in the genus Pinus but for most land plant genera. On the other hand, it is apparent that even the entire chloroplast genome may be insufficient to fully resolve the most rapidly radiating lineages. In this regard, our results are reflective of previous analyses of ancient rapid radiations wherein nodal resolution does not scale proportionately to the length of sequence analyzed. Notably, the position of P. krempfii was significantly different between the four largest data partitions (Table 4), even though this species does not appear to be associated with a rapid radiation (Table 5). This result is not completely unexpected, as this species has previously been difficult to place phylogenetically. An unequivocal resolution of this species will likely require the inclusion of multiple nuclear loci.

When considering recent divergence, the disproportionately high mutation rate in ycf1 (and ycf2, to a lesser extent) demonstrated here is of importance, and mirrors findings in other plant taxa and recently in Pinus subsection Ponderosae. These loci should be informative for phylogenetic studies in recently-diverged clades or in population-level studies in a range of plant species. Discretion is advised, however, as ycf1 (and possibly ycf2) appears to be a target of positive selection at least in Pinus and may reflect adaptive episodes rather than neutral genealogies. In likelihood analyses of ycf1 and ycf2, we observed several topological differences from the full alignment at the subsectional level, further demonstrating that caution must be taken in drawing phylogenetic conclusions from these two loci. Although we were able to confidently score small structural changes (indels and stop codon shifts) for all other exons, it was not possible to score indels for ycf1 and ycf2 due to the apparent high rate of indel formation in these loci. In all other loci examined, small structural changes only delineated clades with concurrent high support from nucleotide-based analyses (both in present study and), and thus are likely to be of limited use in species or population level discrimination. It is not clear whether this will also be the case in ycf1 and ycf2.

It is reasonable to ask whether increased resolution is worth the effort of assembling whole plastomes. Considering the conservative nature of bootstrap measures, systematists often accept bootstrap values of ≥ 70% as reliable indicators of accurate topology. Simulation studies, however, have demonstrated greatly increased accuracy (approximately 42×) with bootstrap values ≥ 95% versus ≥ 70%, and the initial formulation of the phylogenetic bootstrap used ≥ 95% as the threshold for topological significance. Our results similarly support using a 95% bootstrap support cutoff for conclusive evidence as in both areas of topological differences, more than one clade received bootstrap support ≥ 70% by analysis of alternate data partitions. It is probable that conflicting topologies with ≥ 70% but < 95% bootstrap support accurately reflect data partitions yet may not represent the plastome phylogeny, and here the use of entire organelle genomes makes it possible to adopt more conservative criteria of nodal support. There are further biological reasons why an organellar phylogeny (essentially a single-gene estimate) may not accurately represent the organismal phylogeny; these include interspecific hybridization, incomplete lineage sorting, and stochastic properties of the coalescent process. Nonetheless, phylogenetic reconstruction based on complete organellar sequences may facilitate the detection of such phenomena, by reducing errors and uncertainty due to insufficient sampling of DNA sequence.

Conclusion

Plastome sequencing is now a reasonable option for increasing resolution in phylogenetic studies at low taxonomic levels and will continue to become an increasingly simple process. As sequencers evolve to even higher capacity and multiplexing becomes routine in the near future, this will allow more extensive taxon and genomic sampling in phylogenetic studies at all taxonomic levels. It is estimated that sequencing capacity on next generation platforms will approach 100 gigabase pairs per sequencing run by the end of 2009. For perspective, this is sufficient sequence capacity to produce all 100 genus-level data sets used in our meta-analysis (including ours) at greater than 100× coverage depth in a single sequencing run. Based on the estimates of Cronn et al., this sequencing capacity would also allow the simultaneous sequencing of several thousands of animal mitochondria, which could greatly benefit low-level taxonomic or population-based studies in animals that currently tend to rely on relatively short sequences from many individuals. It is also clear that these improvements could enable other pursuits that are currently hindered by limited sequencing capacity, such as identification of plants by diagnostic DNA sequences (DNA barcoding). The recently agreed upon two locus chloroplast barcode for plants claims only 72% unique identification to species level. Based on results herein, whole plastome sequences have the potential to be more highly discriminating and efficient plant DNA barcodes; in fact, the possibility of plastome- and mitome-scale barcodes has been raised previously. Results in this area (as well as in phylogenetic and phylogeographic analyses) will be impacted particularly if advances in target isolation and enrichment and streamlining sample preparation prove globally effective.

DNA Extraction, Amplification and Sequencing

DNA extraction, amplification and sequencing are described in and followed Cronn et al., with 4 bp multiplex tags, replacing the original 3 bp tags (Table 1). For one sample, P. ponderosa, additional reads from three non-multiplexed lanes of genomic DNA were also included.

Sequence Assembly and Genome Alignments

Sequence assembly and alignment are described in and followed Whittall et al.. An analysis of interspecific recombination was conducted using RDP(Recombination Detection Program) v. 3.27. Rather than using the full genomic alignment, which was too memory-intensive, concatenated nucleotide sequences for 71 exons common to all accessions were used (reflective of order on the plastome). Subgenera were investigated separately as members of opposing subgenera appear incapable of hybridization. Each subgenus was checked for recombination events using standard settings for several recombination-detection strategies, including: RDP, GeneConv, Chimaera, MaxChi, BootScan, and SiScan. A total of 24 putative recombination events were identified. On close investigation, all events involved one or more of the following: misalignment, autapomorphic noise coupled with missing data, and amplification of pseudogenes. In cases of misalignment, alignments were corrected prior to subsequent phylogenetic analyses. In cases of amplification of pseudogenes, the entire amplicon for the accession involved was turned to Ns. Inspection of the alignment also revealed that some amplicons in some accessions had failed to amplify, or amplified apparently paralogous loci (evidenced by substantially higher divergence). These regions were masked in affected accessions. The locus matK was determined to be a putative paralog in several accessions, and in four (P. armandii, P. lambertiana S, P. albicaulis, and P. ayacahuite) it was replaced with Sanger sequence. We also replaced 2180 bp of poor quality sequence of the locus ycf1 in P. ponderosa with Sanger sequence. In all accessions amplified by PCR, the regions adjacent to primer sites typically had low coverage, while primers had very high coverage, thus primer-flanking regions (where problematic) and the primers were also excluded. It was also determined through Sanger sequencing that a 600 bp region of the previously published P. koraiensis plastome (positions 48808 to 49634 in GenBank AY228468) is apparently erroneous. This region was removed and reference guided analysis was rerun for this amplicon.

Aligned sequences were annotated using DOGMA (Dual Organellar Genome Annotator) with manual adjustments to match gene predictions from GenBank and the Chloroplast Genome Database http://chloroplast.cbio.psu.edu/. Exons were evaluated for reading frame and translations, and validity of exon mutations was judged based on presence in de novo sequence, effect on the resulting polypeptide sequence, and sequence coverage depth.

Phylogenetic Analyses

Sequence data was analyzed using all genome positions and concatenated nucleotide sequence from 71 exons common to all pine accessions; both partitions were analyzed with and without the loci ycf1 and ycf2. A relatively short (approximately 630 bp) repetitive stretch of the locus ycf1 of subgenus Strobus accessions was masked in all analyses due to alignment ambiguity. The loci ycf1 and ycf2 (ca. 14 kb combined) were also analyzed individually and together.

Maximum Likelihood (ML) phylogenetic analyses were performed through the Cipres Web Portal http://www.phylo.org/portal/Home.do using RAxML bootstrapping with the general model of nucleotide evolution (GTR+G) and automatically determined numbers of bootstrap replicates. Bayesian inference analyses (BI) were performed using MrBayes v. 3.1.2 using the GTR+G+I model, which was selected using MrModelTest v. 2.3 under both Aikake Information Criterion and Hierarchical Likelihood Ratio Test frameworks. Each analysis consisted of two runs with four chains each (three hot and one cold chain), run for 1000000 generations with trees sampled every 100 generations. The first 25% percent of trees from all runs were discarded as burn-in. Unweighted maximum parsimony analyses (MP) of data partitions were conducted in PAUP* (Phylogenetic Analysis Using Parsimony (*and other methods)) v. 4.0b10 by heuristic search with 10 replicates of random sequence addition, tree bisection and reconnection branch swapping and a maxtrees limit of 1,000. Non-parametric bootstrap analysis was conducted under the same conditions for 1,000 replicates to determine branch support.

Topological differences between the full alignment topology and each of the three other largest data partitions (full alignment without ycf1 and ycf2, and exon nucleotides both with and without ycf1 and ycf2) were tested for significance using the Shimodaira-Hasegawa test with resampling estimated log-likelihood (RELL) bootstrapping (1,000 replicates) under the GTR+G model of evolution. To further determine which topological differences were most influential, tests were repeated with the positions of topology-variable accessions alternately modified to match the full alignment topology. In total, the full alignment data set was compared to nine different topologies.

Exon indels and stop codon shifts were mapped onto the topology determined by ML analysis of the full alignment by parsimony mapping using Mesquite v. 2.6 (Maddison and Maddison, http://mesquiteproject.org). Tests of selection for exons were performed in MEGA v. 4.0 using the codon-based Z-test for selection, with pairwise deletion and the Nei-Gojobori (P-distance) model; variance of the differences were computed using the bootstrap method with 500 replicates.

Estimation of Divergence Times for Poorly Resolved Nodes

Divergence times for four nodes with topological uncertainty (P. albicaulis - P. lambertiana N - P. parviflora, P. sibirica - P. cembra - P. koraiensis, P. krempfii-section Quinquefoliae of subgenus Strobus) were estimated according to Pollard et al.. Chloroplast mutation rate was estimated by averaging maximum and minimum mutation rates for Pinaceae chloroplast genomes from two previous studies and assuming a generation time of 50 years. Two estimates were calculated for each node using either low (10,000) or high (100,000) effective population size.

Empirical data from Pinus genomes

Variable-size random subsamples of the full alignment were tested under the parsimony criteria using PAUP* v. 4.0b10 (the faststep option was used for all but the two smallest partitions due to time considerations). Eleven partition sizes were tested (2.5, 5, 10, 20, 30, 40, 50, 60, 80, 100 and 120 kb) in five replicates each, with resolution measured as the percentage of ingroup nodes produced with ≥ 95% jackknife support. Relationships between partition size and ingroup resolution were estimated using least squares regressions, and 95% confidence limits for individual points were estimated based on linear regression using SAS JMP 7.0.1 (S.A.S. Institute, Inc., http://www.jmp.com/). Our full alignment, exon nucleotides and ycf1/ycf2 partitions were analyzed under the same parsimony criteria for comparison, as were the alignments of. Accessions from Gernandt et al. and Eckert et al. were pruned to include only taxa common to our sampling; the original analysis of Wang et al. was used since this data matrix was not available for alternative phylogenetic analyses.

Meta-Analysis of Published Studies

We evaluated 99 phylogenetic analyses from 86 studies published between 2006 and 2008 in Systematic Botany, Systematic Biology, American Journal of Botany, Taxon, Molecular Phylogenetics and Evolution, and Annals of the Missouri Botanical Garden [see additional file 2]. Analyses were selected based on: 1) the presented phylogeny was based solely on chloroplast DNA sequence; 2) the analysis included ≥ 10 species from a monophyletic genus; 3) there were more inter- than intra-specific taxa analyzed within the genus; 4) parsimony-based bootstrap or jackknife values were presented. Ingroup branches with bootstrap support ≥ 95%, the number of ingroup taxa and the aligned base pairs used in the analysis were recorded for each case. The authors' taxonomic interpretations were accepted in instances of taxonomic uncertainty. Conspecific clades were treated as one taxon unless clearly differentiated from one another, and internal bootstrap values were disregarded. The number of branches with bootstrap support ≥ 95% was regressed both on the number of aligned base pairs and the number of taxa (both log-transformed to meet assumptions of normality and equal variances).

Data Deposition

Illumina sequencing reads and quality scores have been deposited in the NCBI SRA database as accession SRA009802. New sequences have been deposited in GenBank as accessions FJ899555-FJ899583.

Accession numbers cited in manuscript

[GenBank FJ899555-FJ899583, EU998739-EU998746, SRA009802]

Abbreviations

BI: Bayesian Inference; bp: base pairs; cpDNA: chloroplast DNA; kb: kilobase; ML: maximum likelihood; MP: maximum parsimony; MPS: massively parallel sequencing.

Authors' contributions

MP obtained and assembled the plastome data, conducted the phylogenetic and statistical analyses, conducted the meta-analysis and drafted the manuscript. RC and AL conceived the study and contributed to data collection, data analysis and manuscript writing. All authors read and approved the final manuscript.

References 61

  1. 1.

    Moore MJ Bell CD Soltis PS Soltis DE Using plastid genome-scale data to resolve enigmatic relationships among basal angiospermsProc Natl Acad Sci USA2007 10419363

    Not in our library10.1073/pnas.0708072104

  2. 2.

    Delsuc F Brinkmann H Philippe H Phylogenomics and the reconstruction of the tree of lifeNature Rev Genet2005 6361375

    Not in our library10.1038/nrg1603

  3. 3.

    Philippe H Frederic D Henner B Lartillot N PhylogenomicsAnnu Rev Ecol Evol Syst2005 36541542

    Not in our library10.1146/annurev.ecolsys.35.112202.130205

  4. 4.

    Jansen RK Cai Z Raubeson LA Daniell H Depamphilis CW Leebens-Mack J Muller KF Guisinger-Bellian M Haberle RC Hansen AK Analysis of 81 genes from 64 plastid genomes resolves relationships in angiosperms and identifies genome-scale evolutionary patternsProc Natl Acad Sci USA2007 10419369

    Not in our library10.1073/pnas.0709121104

  5. 5.

    Liston A Parker-Defeniks M Syring JV Willyard A Cronn R Interspecific phylogenetic analysis enhances intraspecific phylogeographical inference: a case study in Pinus lambertianaMol Ecol2007 1639263937

    Not in our library10.1111/j.1365-294x.2007.03461.x

  6. 6.

    Whitfield JB Lockhart PJ Deciphering ancient rapid radiationsTrends Ecol Evol2007 22258265

    Not in our library10.1016/j.tree.2007.01.012

  7. 7.

    Hudson ME Sequencing breakthroughs for genomic ecology and evolutionary biologyMolecular Ecology Resources2008 8317

    Not in our library10.1111/j.1471-8286.2007.02019.x

  8. 8.

    Mardis ER The impact of next-generation sequencing technology on geneticsTrends Genet2008 24133141

    Not in our library10.1016/j.tig.2007.12.007

  9. 9.

    Cronn R Liston A Parks M Gernandt DS Shen R Mockler T Multiplex sequencing of plant chloroplast genomes using Solexa sequencing-by-synthesis technologyNucleic Acids Res2008 36e122

    Not in our library10.1093/nar/gkn502

  10. 10.

    Gilbert MTP Drautz DI Lesk AM Ho SYW Qi J Ratan A Hsu CH Sher A Dalen L Gotherstrom A Intraspecific phylogenetic analysis of Siberian woolly mammoths using complete mitochondrial genomesProc Natl Acad Sci USA2008 1058327

    Not in our library10.1073/pnas.0802315105

  11. 11.
  12. 12.

    Ossowski S Schneeberger K Clark RM Lanz C Warthmann N Weigel D Sequencing of natural strains of Arabidopsis thaliana with short readsGenome Res2008 182024

    Not in our library10.1101/gr.080200.108

  13. 13.

    Gnirke A Melnikov A Maguire J Rogov P LeProust EM Brockman W Fennell T Giannoukos G Fisher S Russ C Solution hybrid selection with ultra-long oligonucleotides for massively parallel targeted sequencingNature Biotech2009 27182189

    Not in our library10.1038/nbt.1523

  14. 14.

    Porreca GJ Zhang K Li JB Xie B Austin D Vassallo SL LeProust EM Peck BJ Emig CJ Dahl F Gao Y Church GM Shendure J Multiplex amplification of large sets of human exonsNature Meth2007 4931936

    Not in our library10.1038/nmeth1110

  15. 15.

    Herman DS Hovingh GK Iartchouk O Rehm HL Kucherlapati R Seidman JG Seidman CE Filter-based hybridization capture of subgenomes enables resequencing and copy-number detectionNature Meth2009 6507510

    Not in our library10.1038/nmeth.1343

  16. 16.

    Craig DW Pearson JV Szelinger S Sekar A Redman M Corneveaux JJ Pawlowski TL Laub T Nunn G Stephan DA Identification of genetic variants using bar-coded multiplexed sequencingNature Meth2008 5887893

    Not in our library10.1038/nmeth.1251

  17. 17.

    Quail MA Kozarewa I Smith F Scally A Stephens PJ Durbin R Swerdlow H Turner DJ A large genome center's improvements to the Illumina sequencing systemNature Meth2008 510051010

    Not in our library10.1038/nmeth.1270

  18. 18.

    Hernandez D Francois P Farinelli L Osteras M Schrenzel J De novo bacterial genome sequencing: millions of very short reads assembled on a desktop computerGenome Res2008 18802809

    Not in our library10.1101/gr.072033.107

  19. 19.

    Zerbino DR Birney E Velvet: algorithms for de novo short read assembly using de Bruijn graphsGenome Res2008 18821829

    Not in our library10.1101/gr.074492.107

  20. 20.

    Eckert AJ Hall BD Phylogeny, historical biogeography, and patterns of diversification for Pinus (Pinaceae): Phylogenetic tests of fossil-based hypothesesMol Phylogenet Evol2006 40166182

    Not in our library10.1016/j.ympev.2006.03.009

  21. 21.

    Gernandt DS Lopez G Garcia SO Liston A Phylogeny and classification of PinusTaxon2005 542942

    Not in our library

  22. 22.

    Wang XR Tsumura Y Yoshimaru H Nagasaka K Szmidt AE Phylogenetic relationships of Eurasian pines (Pinus, Pinaceae) based on chloroplast rbcL, matK, rpl20-rps18 spacer, and trnV intron sequencesAm J Bot1999 8617421753

    Not in our library10.2307/2656672

  23. 23.

    Syring J Farrell K Businsky R Cronn R Liston A Widespread genealogical nonmonophyly in species of Pinus subgenus StrobusSyst Biol2007 56163181

    Not in our library10.1080/10635150701258787

  24. 24.

    Lidholm J Gustafsson P The chloroplast genome of the gymnosperm Pinus contorta: a physical map and a complete collection of overlapping clonesCurr Genet1991 20161166

    Not in our library10.1007/bf00312780

  25. 25.

    Palmer JD Comparative organization of chloroplast genomesAnnu Rev Genet1985 19325354

    Not in our library10.1146/annurev.ge.19.120185.001545

  26. 26.

    Drescher A Ruf S Calsa T Carrer H Bock R The two largest chloroplast genome-encoded open reading frames of higher plants are essential genesPlant J2000 2297104

    Not in our library10.1046/j.1365-313x.2000.00722.x

  27. 27.

    Fishbein M Hibsch-Jetter C Oltis DES Hufford L Phylogeny of Saxifragales (angiosperms, eudicots): analysis of a rapid, ancient radiationSyst Biol2001 50817847

    Not in our library10.1080/106351501753462821

  28. 28.

    Wortley AH Rudall PJ Harris DJ Scotland RW How much data are needed to resolve a difficult phylogeny? Case study in LamialesSyst Biol2005 54697709

    Not in our library10.1080/10635150500221028

  29. 29.

    Wang XR Szmidt AE Nguyên HN The phylogenetic position of the endemic flat-needle pine Pinus krempfii (Pinaceae) from Vietnam, based on PCR-RFLP analysis of chloroplast DNAPlant Syst Evol2000 2202136

    Not in our library10.1007/bf00985368

  30. 30.

    Syring J Willyard A Cronn R Liston A Evolutionary relationships among Pinus (Pinaceae) subsections inferred from multiple low-copy nuclear lociAm J Bot2005 9220862100

    Not in our library10.3732/ajb.92.12.2086

  31. 31.

    Neubig KM Whitten WM Carlsward BS Blanco MA Endara L Williams NH Moore M Phylogenetic utility of ycf 1 in orchids: a plastid gene more variable than matKPlant Syst Evol2009 2777584

    Not in our library10.1007/s00606-008-0105-0

  32. 32.

    Chung SM Gordon VS Staub JE Sequencing cucumber (Cucumis sativus L.) chloroplast genomes identifies differences between chilling-tolerant and-susceptible cucumber linesGenome2007 50215225

    Not in our library10.1139/g07-003

  33. 33.

    Gernandt DS Hernández-León S Salgado-Hernández E Pérez de la Rosa JA Phylogenetic Relationships of Pinus Subsection Ponderosae Inferred from Rapidly Evolving cpDNA RegionsSyst Bot2009 34481491

    Not in our library10.1600/036364409789271290

  34. 34.

    Alfaro ME Zoller S Lutzoni F Bayes or bootstrap? A simulation study comparing the performance of Bayesian Markov chain Monte Carlo sampling and bootstrapping in assessing phylogenetic confidenceMol Biol Evol2003 20255266

    Not in our library10.1093/molbev/msg028

  35. 35.

    Douady CJ Delsuc F Boucher Y Doolittle WF Douzery EJ Comparison of Bayesian and maximum likelihood bootstrap measures of phylogenetic reliabilityMol Biol Evol2003 20248254

    Not in our library10.1093/molbev/msg042

  36. 36.

    Hillis DM Bull JJ An empirical test of bootstrapping as a method for assessing confidence in phylogenetic analysisSyst Biol1993 42182192

    Not in our library

  37. 37.

    Suzuki Y Glazko GV Nei M Overcredibility of molecular phylogenies obtained by Bayesian phylogeneticsProc Natl Acad Sci USA2002 991613816143

    Not in our library10.1073/pnas.212646199

  38. 38.

    Felsenstein J Confidence limits on phylogenies: an approach using the bootstrapEvolution1985 39783791

    Not in our library10.2307/2408678

  39. 39.

    Patenaude NJ Portway VA Schaeff CM Bannister JL Best PB Payne RS Rowntree VJ Rivarola M Baker CS Mitochondrial DNA diversity and population structure among southern right whales (Eubalaena australis)J Hered2007 98147157

    Not in our library10.1093/jhered/esm005

  40. 40.

    Hollingsworth PM Forrest LL Spouge JL Hajibabaei M Ratnasingham S Bank M van der Chase MW Cowan RS Erickson DL Fazekas AJ A DNA barcode for land plantsProc Natl Acad Sci USA2009 1061279412797

    Not in our library10.1073/pnas.0905845106

  41. 41.

    Erickson DL Spouge J Resch A Weigt LA Kress JW DNA barcoding in land plants: developing standards to quantify and maximize successTaxon2008 5713041316

    Not in our library

  42. 42.

    Whittall JB Syring J Parks M Buenrostro J Dick C Liston A Cronn R Finding a (pine) needle in a haystack: chloroplast genome sequence divergence in rare and widespread pinesMol Ecol2009 in press

    Not in our library10.1111/j.1365-294x.2009.04474.x

  43. 43.

    Martin DP Williamson C Posada D RDP2: recombination detection and analysis from sequence alignments2005 21260262

    Not in our library10.1093/bioinformatics/bth490

  44. 44.

    Price RA Liston A Strauss SH Richardson DMPhylogeny and Systematics of PinusEcology and Biogeography of Pinus1998 Cambridge: Cambridge University Press4968

    Not in our library

  45. 45.

    Martin D Rybicki E RDP: detection of recombination amongst aligned sequences2000 16562563

    Not in our library10.1093/bioinformatics/16.6.562

  46. 46.

    Padidam M Sawyer S Fauquet CM Possible emergence of new geminiviruses by frequent recombinationVirology1999 265218225

    Not in our library10.1006/viro.1999.0056

  47. 47.

    Posada D Crandall KA Modeltest: testing the model of DNA substitutionBioinformatics1998 14817818

    Not in our library10.1093/bioinformatics/14.9.817

  48. 48.

    Smith JM Analyzing the mosaic structure of genesJ Mol Evol1992 34126129

    Not in our library10.1007/bf00182389

  49. 49.

    Martin DP Posada D Crandall KA Williamson C A modified bootscan algorithm for automated identification of recombinant sequences and recombination breakpointsAIDS Research & Human Retroviruses2005 2198102

    Not in our library10.1089/aid.2005.21.98

  50. 50.

    Gibbs MJ Armstrong JS Gibbs AJ Sister-scanning: a Monte Carlo procedure for assessing signals in recombinant sequences2000 16573582

    Not in our library10.1093/bioinformatics/16.7.573

  51. 51.

    Wyman SK Jansen RK Boore JL Automatic annotation of organellar genomes with DOGMABioinformatics2004 2032523255

    Not in our library10.1093/bioinformatics/bth352

  52. 52.

    Stamatakis A A rapid bootstrap algorithm for the RAxML web serversSyst Biol2008 57758771

    Not in our library10.1080/10635150802429642

  53. 53.

    Ronquist F Huelsenbeck JP MrBayes 3: Bayesian phylogenetic inference under mixed modelsBioinformatics2003 1915721574

    Not in our library10.1093/bioinformatics/btg180

  54. 54.

    Nylander JAA MrModeltest v2Program distributed by the author Evolutionary Biology Centre, Uppsala University2004

    Not in our library

  55. 55.

    Swofford DL PAUP*. Phylogenetic Analysis Using Parsimony (*and Other Methods)Version 42000 Sunderland, Massachusetts: Sinauer Associates

    Not in our library

  56. 56.

    Shimodaira H Hasegawa M Multiple comparisons of log-likelihoods with applications to phylogenetic inferenceMol Biol Evol1999 1611141116

    Not in our library

  57. 57.

    Tamura K Dudley J Nei M Kumar S MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0Mol Biol Evol2007 2415961599

    Not in our library10.1093/molbev/msm092

  58. 58.
  59. 59.

    Gernandt DS Magallon S Geada Lopez G Zeron Flores O Willyard A Liston A Use of simultaneous analyses to guide fossil-based calibrations of Pinaceae phylogenyInt J Plant Sci2008 16910861099

    Not in our library10.1086/590472

  60. 60.

    Willyard A Syring J Gernandt DS Liston A Cronn R Fossil calibration of molecular divergence infers a moderate mutation rate and recent radiations for PinusMol Biol Evol2007 2490101

    Not in our library10.1093/molbev/msl131

  61. 61.

    Bouille M Bousquet J Trans-species shared polymorphisms at orthologous nuclear gene loci among distant species in the conifer Picea (Pinaceae): implications for the long-term maintenance of genetic diversity in treesAm J Bot2005 926373

    Not in our library10.3732/ajb.92.1.63

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