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Genome Evolution and the Future of Phylogenomics of Non-Avian Reptiles. Animals (Basel) 2023; 13:ani13030471. [PMID: 36766360 PMCID: PMC9913427 DOI: 10.3390/ani13030471] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/13/2023] [Accepted: 01/15/2023] [Indexed: 02/01/2023] Open
Abstract
Non-avian reptiles comprise a large proportion of amniote vertebrate diversity, with squamate reptiles-lizards and snakes-recently overtaking birds as the most species-rich tetrapod radiation. Despite displaying an extraordinary diversity of phenotypic and genomic traits, genomic resources in non-avian reptiles have accumulated more slowly than they have in mammals and birds, the remaining amniotes. Here we review the remarkable natural history of non-avian reptiles, with a focus on the physical traits, genomic characteristics, and sequence compositional patterns that comprise key axes of variation across amniotes. We argue that the high evolutionary diversity of non-avian reptiles can fuel a new generation of whole-genome phylogenomic analyses. A survey of phylogenetic investigations in non-avian reptiles shows that sequence capture-based approaches are the most commonly used, with studies of markers known as ultraconserved elements (UCEs) especially well represented. However, many other types of markers exist and are increasingly being mined from genome assemblies in silico, including some with greater information potential than UCEs for certain investigations. We discuss the importance of high-quality genomic resources and methods for bioinformatically extracting a range of marker sets from genome assemblies. Finally, we encourage herpetologists working in genomics, genetics, evolutionary biology, and other fields to work collectively towards building genomic resources for non-avian reptiles, especially squamates, that rival those already in place for mammals and birds. Overall, the development of this cross-amniote phylogenomic tree of life will contribute to illuminate interesting dimensions of biodiversity across non-avian reptiles and broader amniotes.
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2
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Hua X, Herdha T, Burden C. Protracted speciation under the state-dependent speciation and extinction approach. Syst Biol 2022; 71:1362-1377. [PMID: 35699529 PMCID: PMC9558848 DOI: 10.1093/sysbio/syac041] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 05/16/2022] [Accepted: 06/07/2022] [Indexed: 11/17/2022] Open
Abstract
How long does speciation take? The answer to this important question in evolutionary biology lies in the genetic difference not only among species, but also among lineages within each species. With the advance of genome sequencing in non-model organisms and the statistical tools to improve accuracy in inferring evolutionary histories among recently diverged lineages, we now have the lineage-level trees to answer these questions. However, we do not yet have an analytical tool for inferring speciation processes from these trees. What is needed is a model of speciation processes that generates both the trees and species identities of extant lineages. The model should allow calculation of the probability that certain lineages belong to certain species and have an evolutionary history consistent with the tree. Here, we propose such a model and test the model performance on both simulated data and real data. We show that maximum-likelihood estimates of the model are highly accurate and give estimates from real data that generate patterns consistent with observations. We discuss how to extend the model to account for different rates and types of speciation processes across lineages in a species group. By linking evolutionary processes on lineage level to species level, the model provides a new phylogenetic approach to study not just when speciation happened, but how speciation happened. [Micro–macro evolution; Protracted birth–death process; speciation completion rate; SSE approach.]
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Affiliation(s)
- Xia Hua
- Mathematical Sciences Institute, Australian National University, Canberra ACT 0200 Australia
| | - Tyara Herdha
- Mathematical Sciences Institute, Australian National University, Canberra ACT 0200 Australia
| | - Conrad Burden
- Mathematical Sciences Institute, Australian National University, Canberra ACT 0200 Australia
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3
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Ivan J, Moritz C, Potter S, Bragg J, Turakulov R, Hua X. Temperature predicts the rate of molecular evolution in Australian Eugongylinae skinks. Evolution 2022; 76:252-261. [PMID: 34486736 DOI: 10.1111/evo.14342] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 07/12/2021] [Accepted: 08/15/2021] [Indexed: 01/21/2023]
Abstract
Temperature differences over time and space have been hypothesized to cause variation in the rate of molecular evolution of species, but empirical evidence is mixed. To further test this hypothesis, we utilized a large exon-capture sequence data of Australian Eugongylinae skinks, exemplifying a radiation of temperature-sensitive ectotherms spanning a large latitudinal gradient. The association between temperature (and other species traits) and long-term substitution rate was assessed based on 1268 sequenced exons of 44 species pairs from the Eugongylinae subfamily using regression analyses. Temperature is the strongest, positively correlated predictor of variation in substitution rate across the Australian Eugongylinae. It explains 45% of variation in synonymous substitution rate, and 11% after controlling for all the other factors. Synonymous substitution rate is also negatively associated with body size, with a 6% variation explained by body size after controlling for the effects of temperature. Other factors are not associated with synonymous substitution rate after controlling for temperature. Overall, this study points to temperature as a strong predictor of the molecular evolution rate in the Eugongylinae subfamily, and demonstrates the power of large-scale exonic data to identify correlates of the rate of molecular evolution.
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Affiliation(s)
- Jeremias Ivan
- Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life Sciences, Jakarta, Indonesia
| | - Craig Moritz
- Division of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Sally Potter
- Division of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Jason Bragg
- Research Centre for Ecosystem Resilience, Australian Institute of Botanical Science, The Royal Botanic Garden Sydney, Sydney, New South Wales, Australia
| | - Rust Turakulov
- Laboratory of Pathology, National Cancer Institute, Bethesda, Maryland, United States
| | - Xia Hua
- Mathematical Sciences Institute, Australian National University, Canberra, Australian Capital Territory, Australia
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4
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Kong H, Condamine FL, Yang L, Harris AJ, Feng C, Wen F, Kang M. Phylogenomic and Macroevolutionary Evidence for an Explosive Radiation of a Plant Genus in the Miocene. Syst Biol 2021; 71:589-609. [PMID: 34396416 PMCID: PMC9016594 DOI: 10.1093/sysbio/syab068] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 08/03/2021] [Accepted: 08/09/2021] [Indexed: 12/02/2022] Open
Abstract
Mountain systems harbor a substantial fraction of global biodiversity and, thus, provide excellent opportunities to study rapid diversification and to understand the historical processes underlying the assembly of biodiversity hotspots. The rich biodiversity in mountains is widely regarded as having arisen under the influence of geological and climatic processes as well as the complex interactions among them. However, the relative contribution of geology and climate in driving species radiation is seldom explored. Here, we studied the evolutionary radiation of Oreocharis (Gesneriaceae), which has diversified extensively throughout East Asia, especially within the Hengduan Mountains (HDM), using transcriptomic data and a time calibrated phylogeny for 88% (111/126) of all species of the genus. In particular, we applied phylogenetic reconstructions to evaluate the extent of incomplete lineage sorting accompanying the early and rapid radiation in the genus. We then fit macroevolutionary models to explore its spatial and diversification dynamics in Oreocharis and applied explicit birth–death models to investigate the effects of past environmental changes on its diversification. Evidence from 574 orthologous loci suggest that Oreocharis underwent an impressive early burst of speciation starting ca. 12 Ma in the Miocene, followed by a drastic decline in speciation toward the present. Although we found no evidence for a shift in diversification rate across the phylogeny of Oreocharis, we showed a difference in diversification dynamics between the HDM and non-HDM lineages, with higher diversification rates in the HDM. The diversification dynamic of Oreocharis is most likely positively associated with temperature-dependent speciation and dependency on the Asian monsoons. We suggest that the warm and humid climate of the mid-Miocene was probably the primary driver of the rapid diversification in Oreocharis, while mountain building of the HDM might have indirectly affected species diversification of the HDM lineage. This study highlights the importance of past climatic changes, combined with mountain building, in creating strong environmental heterogeneity and driving diversification of mountain plants, and suggests that the biodiversity in the HDM cannot directly be attributed to mountain uplift, contrary to many recent speculations.[East Asian monsoons; environmental heterogeneity; Hengduan Mountains; incomplete lineage sorting; Oreocharis; past climate change; rapid diversification; transcriptome.]
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Affiliation(s)
- Hanghui Kong
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, 510650 Guangzhou, China
| | - Fabien L Condamine
- Institut des Sciences de l'Evolution de Montpellier (Université de Montpellier
- CNRS
- IRD
- EPHE), Place Eugène Bataillon, 34095 Montpellier, France
| | - Lihua Yang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, 510650 Guangzhou, China
| | - A J Harris
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, 510650 Guangzhou, China
| | - Chao Feng
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, 510650 Guangzhou, China
| | - Fang Wen
- Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and the Chinese Academy of Sciences, 541006 Guilin, China
| | - Ming Kang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, 510650 Guangzhou, China.,Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, 510650 Guangzhou, China
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5
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Ogilvie HA, Mendes FK, Vaughan TG, Matzke NJ, Stadler T, Welch D, Drummond AJ. Novel Integrative Modeling of Molecules and Morphology across Evolutionary Timescales. Syst Biol 2021; 71:208-220. [PMID: 34228807 PMCID: PMC8677526 DOI: 10.1093/sysbio/syab054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 06/23/2021] [Accepted: 06/29/2021] [Indexed: 11/13/2022] Open
Abstract
Evolutionary models account for either population- or species-level processes but usually not both. We introduce a new model, the FBD-MSC, which makes it possible for the first time to integrate both the genealogical and fossilization phenomena, by means of the multispecies coalescent (MSC) and the fossilized birth–death (FBD) processes. Using this model, we reconstruct the phylogeny representing all extant and many fossil Caninae, recovering both the relative and absolute time of speciation events. We quantify known inaccuracy issues with divergence time estimates using the popular strategy of concatenating molecular alignments and show that the FBD-MSC solves them. Our new integrative method and empirical results advance the paradigm and practice of probabilistic total evidence analyses in evolutionary biology.[Caninae; fossilized birth–death; molecular clock; multispecies coalescent; phylogenetics; species trees.]
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Affiliation(s)
- Huw A Ogilvie
- Department of Computer Science, Rice University, Houston TX, 77005, USA
| | - Fábio K Mendes
- Centre for Computational Evolution, The University of Auckland, Auckland, 1010, New Zealand.,School of Biological Sciences, The University of Auckland, Auckland, 1010, New Zealand
| | - Timothy G Vaughan
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, 4058, Switzerland.,SIB Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
| | - Nicholas J Matzke
- Centre for Computational Evolution, The University of Auckland, Auckland, 1010, New Zealand.,School of Biological Sciences, The University of Auckland, Auckland, 1010, New Zealand
| | - Tanja Stadler
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, 4058, Switzerland.,SIB Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
| | - David Welch
- Centre for Computational Evolution, The University of Auckland, Auckland, 1010, New Zealand.,School of Computer Science, The University of Auckland, Auckland, 1010, New Zealand
| | - Alexei J Drummond
- Centre for Computational Evolution, The University of Auckland, Auckland, 1010, New Zealand.,School of Computer Science, The University of Auckland, Auckland, 1010, New Zealand.,School of Biological Sciences, The University of Auckland, Auckland, 1010, New Zealand
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6
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Wang Y, Ogilvie HA, Nakhleh L. Practical Speedup of Bayesian Inference of Species Phylogenies by Restricting the Space of Gene Trees. Mol Biol Evol 2021; 37:1809-1818. [PMID: 32077947 PMCID: PMC7253205 DOI: 10.1093/molbev/msaa045] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Species tree inference from multilocus data has emerged as a powerful paradigm in the postgenomic era, both in terms of the accuracy of the species tree it produces as well as in terms of elucidating the processes that shaped the evolutionary history. Bayesian methods for species tree inference are desirable in this area as they have been shown not only to yield accurate estimates, but also to naturally provide measures of confidence in those estimates. However, the heavy computational requirements of Bayesian inference have limited the applicability of such methods to very small data sets. In this article, we show that the computational efficiency of Bayesian inference under the multispecies coalescent can be improved in practice by restricting the space of the gene trees explored during the random walk, without sacrificing accuracy as measured by various metrics. The idea is to first infer constraints on the trees of the individual loci in the form of unresolved gene trees, and then to restrict the sampler to consider only resolutions of the constrained trees. We demonstrate the improvements gained by such an approach on both simulated and biological data.
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Affiliation(s)
- Yaxuan Wang
- Computer Science Department, Rice University, Houston, TX
| | - Huw A Ogilvie
- Computer Science Department, Rice University, Houston, TX
| | - Luay Nakhleh
- Computer Science Department, Rice University, Houston, TX
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7
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Layton KKS, Carvajal JI, Wilson NG. Mimicry and mitonuclear discordance in nudibranchs: New insights from exon capture phylogenomics. Ecol Evol 2020; 10:11966-11982. [PMID: 33209263 PMCID: PMC7664011 DOI: 10.1002/ece3.6727] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 07/09/2020] [Accepted: 07/10/2020] [Indexed: 11/29/2022] Open
Abstract
Phylogenetic inference and species delimitation can be challenging in taxonomic groups that have recently radiated and where introgression produces conflicting gene trees, especially when species delimitation has traditionally relied on mitochondrial data and color pattern. Chromodoris, a genus of colorful and toxic nudibranch in the Indo-Pacific, has been shown to have extraordinary cryptic diversity and mimicry, and has recently radiated, ultimately complicating species delimitation. In these cases, additional genome-wide data can help improve phylogenetic resolution and provide important insights about evolutionary history. Here, we employ a transcriptome-based exon capture approach to resolve Chromodoris phylogeny with data from 2,925 exons and 1,630 genes, derived from 15 nudibranch transcriptomes. We show that some previously identified mimics instead show mitonuclear discordance, likely deriving from introgression or mitochondrial capture, but we confirm one "pure" mimic in Western Australia. Sister-species relationships and species-level entities were recovered with high support in both concatenated maximum likelihood (ML) and summary coalescent phylogenies, but the ML topologies were highly variable while the coalescent topologies were consistent across datasets. Our work also demonstrates the broad phylogenetic utility of 149 genes that were previously identified from eupulmonate gastropods. This study is one of the first to (a) demonstrate the efficacy of exon capture for recovering relationships among recently radiated invertebrate taxa, (b) employ genome-wide nuclear markers to test mimicry hypotheses in nudibranchs and (c) provide evidence for introgression and mitochondrial capture in nudibranchs.
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Affiliation(s)
- Kara K. S. Layton
- Centre for Evolutionary BiologySchool of Biological SciencesUniversity of Western AustraliaCrawleyWAAustralia
- Collections & ResearchWestern Australian MuseumWelshpoolWAAustralia
- School of Biological Sciences, Zoology BuildingUniversity of AberdeenAberdeenUK
| | - Jose I. Carvajal
- Collections & ResearchWestern Australian MuseumWelshpoolWAAustralia
| | - Nerida G. Wilson
- Centre for Evolutionary BiologySchool of Biological SciencesUniversity of Western AustraliaCrawleyWAAustralia
- Collections & ResearchWestern Australian MuseumWelshpoolWAAustralia
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8
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Phylomitogenomics provides new perspectives on the Euphasmatodea radiation (Insecta: Phasmatodea). Mol Phylogenet Evol 2020; 155:106983. [PMID: 33059069 DOI: 10.1016/j.ympev.2020.106983] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 09/11/2020] [Accepted: 10/06/2020] [Indexed: 11/20/2022]
Abstract
Phasmatodea species diversity lies almost entirely within its suborder Euphasmatodea, which exhibits a pantropical distribution and is considered to derive from a recent and rapid evolutionary radiation. To shed light on Euphasmatodea origins and diversification, we assembled the mitogenomes of 17 species from transcriptomic sequencing data and analysed them along with 22 already available Phasmatodea mitogenomes and 33 mitogenomes representing most of the Polyneoptera lineages. Maximum Likelihood and Bayesian Inference approaches retrieved consistent topologies, both showing the widespread conflict between phylogenetic approaches and traditional systematics. We performed a divergence time analysis leveraging ten fossil specimens representative of most polyneopteran lineages: the time tree obtained supports an older radiation of the clade with respect to previous hypotheses. Euphasmatodea diversification is inferred to have started ~ 187 million years ago, suggesting that the Triassic-Jurassic mass extinction and the breakup of Pangea could have contributed to the process. We also investigated Euphasmatodea mitogenomes patterns of dN, dS and dN/dS ratio throughout our time-tree, trying to characterize the selective regime which may have shaped the clade evolution.
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9
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Valderrama E, Sass C, Pinilla-Vargas M, Skinner D, Maas PJM, Maas-van de Kamer H, Landis JB, Guan CJ, Specht CD. Unraveling the Spiraling Radiation: A Phylogenomic Analysis of Neotropical Costus L. FRONTIERS IN PLANT SCIENCE 2020; 11:1195. [PMID: 32922414 PMCID: PMC7456938 DOI: 10.3389/fpls.2020.01195] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 07/23/2020] [Indexed: 06/01/2023]
Abstract
The family of pantropical spiral gingers (Costaceae Nakai; c. 125 spp.) can be used as a model to enhance our understanding of the mechanisms underlying Neotropical diversity. Costaceae has higher taxonomic diversity in South and Central America (c. 72 Neotropical species, c. 30 African, c. 23 Southeast Asian), particularly due to a radiation of Neotropical species of the genus Costus L. (c. 57 spp.). However, a well-supported phylogeny of the Neotropical spiral gingers including thorough sampling of proposed species encompassing their full morphologic and geographic variation is lacking, partly due to poor resolution recovered in previous analyses using a small sampling of loci. Here we use a phylogenomic approach to estimate the phylogeny of a sample of Neotropical Costus species using a targeted enrichment approach. Baits were designed to capture conserved elements' variable at the species level using available genomic sequences of Costus species and relatives. We obtained 832 loci (generating 791,954 aligned base pairs and 31,142 parsimony informative sites) for samples that encompassed the geographical and/or morphological diversity of some recognized species. Higher support values that improve the results of previous studies were obtained when including all the available loci, even those producing unresolved gene trees and having a low proportion of variable sites. Concatenation and coalescent-based species trees methods converge in almost the same topology suggesting a robust estimation of the relationships, even under the high levels of gene tree conflict presented here. The bait set design here presented made inferring a robust phylogeny to test taxonomic hypotheses possible and will improve our understanding of the origins of the charismatic diversity of the Neotropical spiral gingers.
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Affiliation(s)
- Eugenio Valderrama
- School of Integrative Plant Science, Section of Plant Biology and the L.H. Bailey Hortorium, Cornell University, Ithaca, NY, United States
| | - Chodon Sass
- The University and Jepson Herbaria, University of California, Berkeley, Berkeley, CA, United States
| | - Maria Pinilla-Vargas
- School of Integrative Plant Science, Section of Plant Biology and the L.H. Bailey Hortorium, Cornell University, Ithaca, NY, United States
| | | | - Paul J. M. Maas
- Section Botany, Naturalis Biodiversity Center, Leiden, Netherlands
| | | | - Jacob B. Landis
- School of Integrative Plant Science, Section of Plant Biology and the L.H. Bailey Hortorium, Cornell University, Ithaca, NY, United States
| | - Clarice J. Guan
- School of Integrative Plant Science, Section of Plant Biology and the L.H. Bailey Hortorium, Cornell University, Ithaca, NY, United States
| | - Chelsea D. Specht
- School of Integrative Plant Science, Section of Plant Biology and the L.H. Bailey Hortorium, Cornell University, Ithaca, NY, United States
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10
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Chan KO, Hutter CR, Wood PL, Grismer LL, Brown RM. Larger, unfiltered datasets are more effective at resolving phylogenetic conflict: Introns, exons, and UCEs resolve ambiguities in Golden-backed frogs (Anura: Ranidae; genus Hylarana). Mol Phylogenet Evol 2020; 151:106899. [PMID: 32590046 DOI: 10.1016/j.ympev.2020.106899] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 05/18/2020] [Accepted: 06/17/2020] [Indexed: 01/01/2023]
Abstract
Using FrogCap, a recently-developed sequence-capture protocol, we obtained >12,000 highly informative exons, introns, and ultraconserved elements (UCEs), which we used to illustrate variation in evolutionary histories of these classes of markers, and to resolve long-standing systematic problems in Southeast Asian Golden-backed frogs of the genus-complex Hylarana. We also performed a comprehensive suite of analyses to assess the relative performance of different genetic markers, data filtering strategies, tree inference methods, and different measures of branch support. To reduce gene tree estimation error, we filtered the data using different thresholds of taxon completeness (missing data) and parsimony informative sites (PIS). We then estimated species trees using concatenated datasets and Maximum Likelihood (IQ-TREE) in addition to summary (ASTRAL-III), distance-based (ASTRID), and site-based (SVDQuartets) multispecies coalescent methods. Topological congruence and branch support were examined using traditional bootstrap, local posterior probabilities, gene concordance factors, quartet frequencies, and quartet scores. Our results did not yield a single concordant topology. Instead, introns, exons, and UCEs clearly possessed different phylogenetic signals, resulting in conflicting, yet strongly-supported phylogenetic estimates. However, a combined analysis comprising the most informative introns, exons, and UCEs converged on a similar topology across all analyses, with the exception of SVDQuartets. Bootstrap values were consistently high despite high levels of incongruence and high proportions of gene trees supporting conflicting topologies. Although low bootstrap values did indicate low heuristic support, high bootstrap support did not necessarily reflect congruence or support for the correct topology. This study reiterates findings of some previous studies, which demonstrated that traditional bootstrap values can produce positively misleading measures of support in large phylogenomic datasets. We also showed a remarkably strong positive relationship between branch length and topological congruence across all datasets, implying that very short internodes remain a challenge to resolve, even with orders of magnitude more data than ever before. Overall, our results demonstrate that more data from unfiltered or combined datasets produced superior results. Although data filtering reduced gene tree incongruence, decreased amounts of data also biased phylogenetic estimation. A point of diminishing returns was evident, at which higher congruence (from more stringent filtering) at the expense of amount of data led to topological error as assessed by comparison to more complete datasets across different genomic markers. Additionally, we showed that applying a parameter-rich model to a partitioned analysis of concatenated data produces better results compared to unpartitioned, or even partitioned analysis using model selection. Despite some lingering uncertainties, a combined analysis of our genomic data and sequences supplemented from GenBank (on the basis of a few gene regions) revealed highly supported novel systematic arrangements. Based on these new findings, we transfer Amnirana nicobariensis into the genus Indosylvirana; and I. milleti and Hylarana celebensis to the genus Papurana. We also provisionally place H. attigua in the genus Papurana pending verification from positively identified (voucher substantiated) samples.
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Affiliation(s)
- Kin Onn Chan
- Lee Kong Chian National History Museum, Faculty of Science, National University of Singapore, 2 Conservatory Drive, 117377, Singapore.
| | - Carl R Hutter
- Biodiversity Institute and Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA; Museum of Natural Sciences and Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Perry L Wood
- Museum of Natural Sciences and Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA; Department of Biological Sciences & Museum of Natural History, Auburn University, Auburn, AL 36849, USA
| | - L Lee Grismer
- Herpetology Laboratory, Department of Biology, La Sierra University, 4500 Riverwalk Parkway, Riverside, CA 92505, USA
| | - Rafe M Brown
- Biodiversity Institute and Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA
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11
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Zhu J, Liu X, Ogilvie HA, Nakhleh LK. A divide-and-conquer method for scalable phylogenetic network inference from multilocus data. Bioinformatics 2020; 35:i370-i378. [PMID: 31510688 PMCID: PMC6612858 DOI: 10.1093/bioinformatics/btz359] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Motivation Reticulate evolutionary histories, such as those arising in the presence of hybridization, are best modeled as phylogenetic networks. Recently developed methods allow for statistical inference of phylogenetic networks while also accounting for other processes, such as incomplete lineage sorting. However, these methods can only handle a small number of loci from a handful of genomes. Results In this article, we introduce a novel two-step method for scalable inference of phylogenetic networks from the sequence alignments of multiple, unlinked loci. The method infers networks on subproblems and then merges them into a network on the full set of taxa. To reduce the number of trinets to infer, we formulate a Hitting Set version of the problem of finding a small number of subsets, and implement a simple heuristic to solve it. We studied their performance, in terms of both running time and accuracy, on simulated as well as on biological datasets. The two-step method accurately infers phylogenetic networks at a scale that is infeasible with existing methods. The results are a significant and promising step towards accurate, large-scale phylogenetic network inference. Availability and implementation We implemented the algorithms in the publicly available software package PhyloNet (https://bioinfocs.rice.edu/PhyloNet). Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Jiafan Zhu
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Xinhao Liu
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Huw A Ogilvie
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Luay K Nakhleh
- Department of Computer Science, Rice University, Houston, TX, USA.,Department of BioSciences, Rice University, Houston, TX, USA
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12
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Karin BR, Gamble T, Jackman TR. Optimizing Phylogenomics with Rapidly Evolving Long Exons: Comparison with Anchored Hybrid Enrichment and Ultraconserved Elements. Mol Biol Evol 2020; 37:904-922. [PMID: 31710677 PMCID: PMC7038749 DOI: 10.1093/molbev/msz263] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Marker selection has emerged as an important component of phylogenomic study design due to rising concerns of the effects of gene tree estimation error, model misspecification, and data-type differences. Researchers must balance various trade-offs associated with locus length and evolutionary rate among other factors. The most commonly used reduced representation data sets for phylogenomics are ultraconserved elements (UCEs) and Anchored Hybrid Enrichment (AHE). Here, we introduce Rapidly Evolving Long Exon Capture (RELEC), a new set of loci that targets single exons that are both rapidly evolving (evolutionary rate faster than RAG1) and relatively long in length (>1,500 bp), while at the same time avoiding paralogy issues across amniotes. We compare the RELEC data set to UCEs and AHE in squamate reptiles by aligning and analyzing orthologous sequences from 17 squamate genomes, composed of 10 snakes and 7 lizards. The RELEC data set (179 loci) outperforms AHE and UCEs by maximizing per-locus genetic variation while maintaining presence and orthology across a range of evolutionary scales. RELEC markers show higher phylogenetic informativeness than UCE and AHE loci, and RELEC gene trees show greater similarity to the species tree than AHE or UCE gene trees. Furthermore, with fewer loci, RELEC remains computationally tractable for full Bayesian coalescent species tree analyses. We contrast RELEC to and discuss important aspects of comparable methods, and demonstrate how RELEC may be the most effective set of loci for resolving difficult nodes and rapid radiations. We provide several resources for capturing or extracting RELEC loci from other amniote groups.
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Affiliation(s)
- Benjamin R Karin
- Department of Biology, Villanova University, Villanova, PA
- Museum of Vertebrate Zoology and Department of Integrative Biology, University of California, Berkeley, CA
| | - Tony Gamble
- Department of Biological Sciences, Marquette University, Milwaukee, WI
- Milwaukee Public Museum, Milwaukee, WI
- Bell Museum of Natural History, University of Minnesota, St. Paul, MN
| | - Todd R Jackman
- Department of Biology, Villanova University, Villanova, PA
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Rix MG, Wilson JD, Harvey MS. First phylogenetic assessment and taxonomic synopsis of the open-holed trapdoor spider genus Namea (Mygalomorphae: Anamidae): a highly diverse mygalomorph lineage from Australia’s tropical eastern rainforests. INVERTEBR SYST 2020. [DOI: 10.1071/is20004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The tropical and subtropical rainforests of Australia’s eastern mesic zone have given rise to a complex and highly diverse biota. Numerous old endemic, niche-conserved groups persist in the montane rainforests south of Cooktown, where concepts of serial allopatric speciation resulting from the formation of xeric interzones have largely driven our biogeographic understanding of the region. Among invertebrate taxa, studies on less vagile arachnid lineages now complement extensive research on vertebrate taxa, and phylogenetic studies on mygalomorph spiders in particular are revealing significant insights about the biogeographic history of the Australian continent since the Eocene. One mygalomorph lineage entirely endemic to Australia’s tropical and subtropical eastern rainforests is the open-holed trapdoor spider genus Namea Raven, 1984 (family Anamidae). We explore, for the first time, the phylogenetic diversity and systematics of this group of spiders, with the aims of understanding patterns of rainforest diversity in Namea, of exploring the relative roles of lineage overlap versus in situ speciation in driving predicted high levels of congeneric sympatry, and of broadly reconciling morphology with evolutionary history. Original and legacy sequences were obtained for three mtDNA and four nuDNA markers from 151 specimens, including 82 specimens of Namea. We recovered a monophyletic genus Namea sister to the genus Teyl Main, 1975, and monophyletic species clades corresponding to 30 morphospecies OTUs, including 22 OTUs nested within three main species-complex lineages. Remarkable levels of sympatry for a single genus of mygalomorph spiders were revealed in rainforest habitats, with upland subtropical rainforests in south-eastern Queensland often home to multiple (up to six) congeners of usually disparate phylogenetic affinity living in direct sympatry or close parapatry, likely the result of simultaneous allopatric speciation in already co-occurring lineages, and more recent dispersal in a minority of taxa. In situ speciation, in contrast, appears to have played a relatively minor role in generating sympatric diversity within rainforest ‘islands’. At the population level, changes in the shape and spination of the male first leg relative to evolutionary history reveal subtle but consistent interspecific morphological shifts in the context of otherwise intraspecific variation, and understanding this morphological variance provides a useful framework for future taxonomic monography. Based on the phylogenetic results, we further provide a detailed taxonomic synopsis of the genus Namea, formally diagnosing three main species-complexes (the brisbanensis-complex, the dahmsi-complex and the jimna-complex), re-illustrating males of all 15 described species, and providing images of live spiders and burrows where available. In doing so, we reveal a huge undescribed diversity of Namea species from tropical and subtropical rainforest habitats, and an old endemic fauna that is beginning to shed light on more complex patterns of rainforest biogeography.
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Digging for the spiny rat and hutia phylogeny using a gene capture approach, with the description of a new mammal subfamily. Mol Phylogenet Evol 2019; 136:241-253. [PMID: 30885830 DOI: 10.1016/j.ympev.2019.03.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 03/13/2019] [Accepted: 03/14/2019] [Indexed: 02/07/2023]
Abstract
Next generation sequencing (NGS) and genomic database mining allow biologists to gather and select large molecular datasets well suited to address phylogenomics and molecular evolution questions. Here we applied this approach to a mammal family, the Echimyidae, for which generic relationships have been difficult to recover and often referred to as a star phylogeny. These South-American spiny rats represent a family of caviomorph rodents exhibiting a striking diversity of species and life history traits. Using a NGS exon capture protocol, we isolated and sequenced ca. 500 nuclear DNA exons for 35 species belonging to all major echimyid and capromyid clades. Exons were carefully selected to encompass as much diversity as possible in terms of rate of evolution, heterogeneity in the distribution of site-variation and nucleotide composition. Supermatrix inferences and coalescence-based approaches were subsequently applied to infer this family's phylogeny. The inferred topologies were the same for both approaches, and support was maximal for each node, entirely resolving the ambiguous relationships of previous analyses. Fast-evolving nuclear exons tended to yield more reliable phylogenies, as slower-evolving sequences were not informative enough to disentangle the short branches of the Echimyidae radiation. Based on this resolved phylogeny and on molecular and morphological evidence, we confirm the rank of the Caribbean hutias - formerly placed in the Capromyidae family - as Capromyinae, a clade nested within Echimyidae. We also name and define Carterodontinae, a new subfamily of Echimyidae, comprising the extant monotypic genus Carterodon from Brazil, which is the closest living relative of West Indies Capromyinae.
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Wang GD, Zhang BL, Zhou WW, Li YX, Jin JQ, Shao Y, Yang HC, Liu YH, Yan F, Chen HM, Jin L, Gao F, Zhang Y, Li H, Mao B, Murphy RW, Wake DB, Zhang YP, Che J. Selection and environmental adaptation along a path to speciation in the Tibetan frog Nanorana parkeri. Proc Natl Acad Sci U S A 2018; 115:E5056-E5065. [PMID: 29760079 PMCID: PMC5984489 DOI: 10.1073/pnas.1716257115] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Tibetan frogs, Nanorana parkeri, are differentiated genetically but not morphologically along geographical and elevational gradients in a challenging environment, presenting a unique opportunity to investigate processes leading to speciation. Analyses of whole genomes of 63 frogs reveal population structuring and historical demography, characterized by highly restricted gene flow in a narrow geographic zone lying between matrilines West (W) and East (E). A population found only along a single tributary of the Yalu Zangbu River has the mitogenome only of E, whereas nuclear genes of W comprise 89-95% of the nuclear genome. Selection accounts for 579 broadly scattered, highly divergent regions (HDRs) of the genome, which involve 365 genes. These genes fall into 51 gene ontology (GO) functional classes, 14 of which are likely to be important in driving reproductive isolation. GO enrichment analyses of E reveal many overrepresented functional categories associated with adaptation to high elevations, including blood circulation, response to hypoxia, and UV radiation. Four genes, including DNAJC8 in the brain, TNNC1 and ADORA1 in the heart, and LAMB3 in the lung, differ in levels of expression between low- and high-elevation populations. High-altitude adaptation plays an important role in maintaining and driving continuing divergence and reproductive isolation. Use of total genomes enabled recognition of selection and adaptation in and between populations, as well as documentation of evolution along a stepped cline toward speciation.
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Affiliation(s)
- Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Bao-Lin Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, Yunnan, China
| | - Wei-Wei Zhou
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Yezin, 05282 Nay Pyi Taw, Myanmar
| | - Yong-Xin Li
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, Yunnan, China
| | - Jie-Qiong Jin
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - He-Chuan Yang
- Human Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
| | - Yan-Hu Liu
- Laboratory for Conservation and Utilization of Bio-Resources & Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming 650091, China
| | - Fang Yan
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Hong-Man Chen
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Li Jin
- Key Laboratory of Freshwater Fish Reproduction and Development of the Ministry of Education and Key Laboratory of Aquatic Science of Chongqing, Southwest University School of Life Sciences, Chongqing 400715, China
| | - Feng Gao
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yaoguang Zhang
- Key Laboratory of Freshwater Fish Reproduction and Development of the Ministry of Education and Key Laboratory of Aquatic Science of Chongqing, Southwest University School of Life Sciences, Chongqing 400715, China
| | - Haipeng Li
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Bingyu Mao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Robert W Murphy
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Centre for Biodiversity and Conservation Biology, Royal Ontario Museum, Toronto, ON, Canada M5S 2C6
| | - David B Wake
- Department of Integrative Biology and Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720-3160
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China;
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Jing Che
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China;
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences, Yezin, 05282 Nay Pyi Taw, Myanmar
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16
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Singhal S, Hoskin CJ, Couper P, Potter S, Moritz C. A Framework for Resolving Cryptic Species: A Case Study from the Lizards of the Australian Wet Tropics. Syst Biol 2018; 67:1061-1075. [DOI: 10.1093/sysbio/syy026] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Accepted: 03/27/2018] [Indexed: 12/19/2022] Open
Affiliation(s)
- Sonal Singhal
- Museum of Zoology and Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Biology, California State University—Dominguez Hills, Carson, CA 90747, USA
| | - Conrad J Hoskin
- College of Science & Engineering, James Cook University, Townsville, Queensland 4811, Australia
| | - Patrick Couper
- Biodiversity Program, Queensland Museum, South Brisbane, Queensland 4101, Australia
| | - Sally Potter
- Division of Ecology and Evolution, Research School of Biology and Centre for Biodiversity Analysis, Australian National University, Acton, ACT 2601, Australia
| | - Craig Moritz
- Division of Ecology and Evolution, Research School of Biology and Centre for Biodiversity Analysis, Australian National University, Acton, ACT 2601, Australia
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