51
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Yu D, Ding Y, Tihelka E, Cai C, Hu F, Liu M, Zhang F. OUP accepted manuscript. Syst Biol 2022; 71:1023-1031. [PMID: 35289913 PMCID: PMC9366459 DOI: 10.1093/sysbio/syac024] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 03/11/2022] [Indexed: 11/14/2022] Open
Affiliation(s)
- Daoyuan Yu
- Soil Ecology Laboratory, College of Resources and Environmental Sciences, Nanjing Agricultural University, 210095 Nanjing, China
- Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, 210095 Nanjing, China
- Jiangsu Key Laboratory for Solid Organic Waste Utilization, 210095 Nanjing, China
| | - Yinhuan Ding
- Department of Entomology, College of Plant Protection, Nanjing Agricultural University, 210095 Nanjing, China
| | - Erik Tihelka
- School of Earth Sciences, University of Bristol, Life Sciences Building, Tyndall Avenue, Bristol BS8 1TQ, UK
| | - Chenyang Cai
- School of Earth Sciences, University of Bristol, Life Sciences Building, Tyndall Avenue, Bristol BS8 1TQ, UK
- State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing Institute of Geology and Palaeontology, 210008 Nanjing, China
- Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
| | - Feng Hu
- Soil Ecology Laboratory, College of Resources and Environmental Sciences, Nanjing Agricultural University, 210095 Nanjing, China
- Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, 210095 Nanjing, China
- Jiangsu Key Laboratory for Solid Organic Waste Utilization, 210095 Nanjing, China
| | | | - Feng Zhang
- Correspondence to be sent to: Department of Entomology, College of Plant Protection, Nanjing Agricultural University, 210095 Nanjing, China; E-mail:
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52
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Smith ML, Hahn MW. The Frequency and Topology of Pseudoorthologs. Syst Biol 2021; 71:649-659. [PMID: 34951639 DOI: 10.1093/sysbio/syab097] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 12/15/2021] [Accepted: 12/17/2021] [Indexed: 11/12/2022] Open
Abstract
Phylogenetics has long relied on the use of orthologs, or genes related through speciation events, to infer species relationships. However, identifying orthologs is difficult because gene duplication can obscure relationships among genes. Researchers have been particularly concerned with the insidious effects of pseudoorthologs-duplicated genes that are mistaken for orthologs because they are present in a single copy in each sampled species. Because gene tree topologies of pseudoorthologs may differ from the species tree topology, they have often been invoked as the cause of counterintuitive results in phylogenetics. Despite these perceived problems, no previous work has calculated the probabilities of pseudoortholog topologies, or has been able to circumscribe the regions of parameter space in which pseudoorthologs are most likely to occur. Here, we introduce a model for calculating the probabilities and branch lengths of orthologs and pseudoorthologs, including concordant and discordant pseudoortholog topologies, on a rooted three-taxon species tree. We show that the probability of orthologs is high relative to the probability of pseudoorthologs across reasonable regions of parameter space. Furthermore, the probabilities of the two discordant topologies are equal and never exceed that of the concordant topology, generally being much lower. We describe the species tree topologies most prone to generating pseudoorthologs, finding that they are likely to present problems to phylogenetic inference irrespective of the presence of pseudoorthologs. Overall, our results suggest that pseudoorthologs are unlikely to mislead inferences of species relationships under the biological scenarios considered here.
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Affiliation(s)
- Megan L Smith
- Department of Biology and Department of Computer Science, Indiana University, Bloomington, IN 47405, USA
| | - Matthew W Hahn
- Department of Biology and Department of Computer Science, Indiana University, Bloomington, IN 47405, USA
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53
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Singhal S, Derryberry GE, Bravo GA, Derryberry EP, Brumfield RT, Harvey MG. The dynamics of introgression across an avian radiation. Evol Lett 2021; 5:568-581. [PMID: 34917397 PMCID: PMC8645201 DOI: 10.1002/evl3.256] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 07/11/2021] [Accepted: 08/31/2021] [Indexed: 01/20/2023] Open
Abstract
Hybridization and resulting introgression can play both a destructive and a creative role in the evolution of diversity. Thus, characterizing when and where introgression is most likely to occur can help us understand the causes of diversification dynamics. Here, we examine the prevalence of and variation in introgression using phylogenomic data from a large (1300+ species), geographically widespread avian group, the suboscine birds. We first examine patterns of gene tree discordance across the geographic distribution of the entire clade. We then evaluate the signal of introgression in a subset of 206 species triads using Patterson's D‐statistic and test for associations between introgression signal and evolutionary, geographic, and environmental variables. We find that gene tree discordance varies across lineages and geographic regions. The signal of introgression is highest in cases where species occur in close geographic proximity and in regions with more dynamic climates since the Pleistocene. Our results highlight the potential of phylogenomic datasets for examining broad patterns of hybridization and suggest that the degree of introgression between diverging lineages might be predictable based on the setting in which they occur.
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Affiliation(s)
- Sonal Singhal
- Department of Biology California State University, Dominguez Hills Carson California 90747
| | - Graham E Derryberry
- Department of Ecology and Evolutionary Biology University of Tennessee Knoxville Tennessee 37996
| | - Gustavo A Bravo
- Department of Organismic and Evolutionary Biology Harvard University Cambridge Massachusetts 02138.,Museum of Comparative Zoology Harvard University Cambridge Massachusetts 02138
| | - Elizabeth P Derryberry
- Department of Ecology and Evolutionary Biology University of Tennessee Knoxville Tennessee 37996
| | - Robb T Brumfield
- Museum of Natural Science Louisiana State University Baton Rouge Louisiana 70803.,Department of Biological Sciences Louisiana State University Baton Rouge Louisiana 70803
| | - Michael G Harvey
- Department of Biological Sciences The University of Texas at El Paso El Paso Texas 79968.,Biodiversity Collections The University of Texas at El Paso El Paso Texas 79968
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54
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Hibbins MS, Hahn MW. The effects of introgression across thousands of quantitative traits revealed by gene expression in wild tomatoes. PLoS Genet 2021; 17:e1009892. [PMID: 34748547 PMCID: PMC8601620 DOI: 10.1371/journal.pgen.1009892] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/18/2021] [Accepted: 10/18/2021] [Indexed: 01/13/2023] Open
Abstract
It is now understood that introgression can serve as powerful evolutionary force, providing genetic variation that can shape the course of trait evolution. Introgression also induces a shared evolutionary history that is not captured by the species phylogeny, potentially complicating evolutionary analyses that use a species tree. Such analyses are often carried out on gene expression data across species, where the measurement of thousands of trait values allows for powerful inferences while controlling for shared phylogeny. Here, we present a Brownian motion model for quantitative trait evolution under the multispecies network coalescent framework, demonstrating that introgression can generate apparently convergent patterns of evolution when averaged across thousands of quantitative traits. We test our theoretical predictions using whole-transcriptome expression data from ovules in the wild tomato genus Solanum. Examining two sub-clades that both have evidence for post-speciation introgression, but that differ substantially in its magnitude, we find patterns of evolution that are consistent with histories of introgression in both the sign and magnitude of ovule gene expression. Additionally, in the sub-clade with a higher rate of introgression, we observe a correlation between local gene tree topology and expression similarity, implicating a role for introgressed cis-regulatory variation in generating these broad-scale patterns. Our results reveal a general role for introgression in shaping patterns of variation across many thousands of quantitative traits, and provide a framework for testing for these effects using simple model-informed predictions. It is now known from studying large genetic datasets that species often hybridize and cross with each other over many generations – a phenomenon known as introgression. Introgression introduces new genetic variation into a population, and this variation can cause traits to be shared among the introgressing species. When researchers study the evolution of trait variation among species, this source of trait sharing is rarely accounted for. Here, we present a statistical model of the effects of introgression on trait variation. This model predicts that, when averaged across many thousands of traits, introgressing species are consistently more similar than expected from standard approaches. Researchers studying gene expression often consider the expression of many thousands of genes, making this a case where the expected effects of introgression are likely to manifest. We tested our model prediction using ovule gene expression data from the wild tomato genus Solanum, in two groups of species with evidence of historical introgression. We found that patterns of expression similarity in both groups are consistent with their histories of introgression and the predictions from our model. Our results highlight the importance of accounting for introgression as a source of trait variation among species.
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Affiliation(s)
- Mark S. Hibbins
- Department of Biology, Indiana University, Bloomington, Indiana, United States of America
- * E-mail:
| | - Matthew W. Hahn
- Department of Biology, Indiana University, Bloomington, Indiana, United States of America
- Department of Computer Science, Indiana University, Bloomington, Indiana, United States of America
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55
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Cunha TJ, Reimer JD, Giribet G. Investigating Sources of Conflict in Deep Phylogenomics of Vetigastropod Snails. Syst Biol 2021; 71:1009-1022. [PMID: 34469579 PMCID: PMC9249062 DOI: 10.1093/sysbio/syab071] [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: 08/24/2020] [Revised: 08/25/2021] [Accepted: 08/27/2021] [Indexed: 11/17/2022] Open
Abstract
Phylogenetic analyses may suffer from multiple sources of error leading to conflict
between genes and methods of inference. The evolutionary history of the mollusc clade
Vetigastropoda makes them susceptible to these conflicts, their higher level phylogeny
remaining largely unresolved. Originating over 350 Ma, vetigastropods were the dominant
marine snails in the Paleozoic. Multiple extinction events and new radiations have
resulted in both very long and very short branches and a large extant diversity of over
4000 species. This is the perfect setting of a hard phylogenetic question in which sources
of conflict can be explored. We present 41 new transcriptomes across the diversity of
vetigastropods (62 terminals total), and provide the first genomic-scale phylogeny for the
group. We find that deep divergences differ from previous studies in which long branch
attraction was likely pervasive. Robust results leading to changes in taxonomy include the
paraphyly of the order Lepetellida and the family Tegulidae. Tectinae subfam.
nov. is designated for the clade comprising Tectus, Cittarium,
and Rochia. For two early divergences, topologies disagreed between
concatenated analyses using site heterogeneous models versus concatenated partitioned
analyses and summary coalescent methods. We investigated rate and composition
heterogeneity among genes, as well as missing data by locus and by taxon, none of which
had an impact on the inferred topologies. We also found no evidence for ancient
introgression throughout the phylogeny. We further tested whether uninformative genes and
over-partitioning were responsible for this discordance by evaluating the phylogenetic
signal of individual genes using likelihood mapping, and by analyzing the most informative
genes with a full multispecies coalescent (MSC) model. We find that most genes are not
informative at the two conflicting nodes, but neither this nor gene-wise partitioning are
the cause of discordant results. New method implementations that simultaneously integrate
amino acid profile mixture models and the MSC might be necessary to resolve these and
other recalcitrant nodes in the Tree of Life. [Fissurellidae; Haliotidae; likelihood
mapping; multispecies coalescent; phylogenetic signal; phylogenomic conflict; site
heterogeneity; Trochoidea.]
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Affiliation(s)
- Tauana Junqueira Cunha
- Museum of Comparative Zoology, Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge MA 02138, USA.,Smithsonian Tropical Research Institute, Panama City, Panama
| | - James Davis Reimer
- Molecular Invertebrate Systematics and Ecology, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, Japan.,Tropical Biosphere Research Center, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, Japan
| | - Gonzalo Giribet
- Museum of Comparative Zoology, Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge MA 02138, USA
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56
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Lemoine F, Gascuel O. Gotree/Goalign: toolkit and Go API to facilitate the development of phylogenetic workflows. NAR Genom Bioinform 2021; 3:lqab075. [PMID: 34396097 PMCID: PMC8356961 DOI: 10.1093/nargab/lqab075] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/09/2021] [Accepted: 08/03/2021] [Indexed: 12/17/2022] Open
Abstract
Phylogenetics is nowadays at the center of numerous studies in many fields, ranging from comparative genomics to molecular epidemiology. However, phylogenetic analysis workflows are usually complex and difficult to implement, as they are often composed of many small, reccuring, but important data manipulations steps. Among these, we can find file reformatting, sequence renaming, tree re-rooting, tree comparison, bootstrap support computation, etc. These are often performed by custom scripts or by several heterogeneous tools, which may be error prone, uneasy to maintain and produce results that are challenging to reproduce. For all these reasons, the development and reuse of phylogenetic workflows is often a complex task. We identified many operations that are part of most phylogenetic analyses, and implemented them in a toolkit called Gotree/Goalign. The Gotree/Goalign toolkit implements more than 120 user-friendly commands and an API dedicated to multiple sequence alignment and phylogenetic tree manipulations. It is developed in Go, which makes executables easily installable, integrable in workflow environments, and parallelizable when possible. Moreover, Go is a compiled language, which accelerates computations compared to interpreted languages. This toolkit is freely available on most platforms (Linux, MacOS and Windows) and most architectures (amd64, i386) on GitHub at https://github.com/evolbioinfo/gotree, Bioconda and DockerHub.
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Affiliation(s)
- Frédéric Lemoine
- Unité de Bioinformatique Évolutive, Département de Biologie Computationnelle, Institut Pasteur, Paris, France
| | - Olivier Gascuel
- Unité de Bioinformatique Évolutive, Département de Biologie Computationnelle, Institut Pasteur, Paris, France
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57
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Bailey NP, Stevison LS. Mitonuclear conflict in a macaque species exhibiting phylogenomic discordance. J Evol Biol 2021; 34:1568-1579. [PMID: 34379829 DOI: 10.1111/jeb.13914] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 07/28/2021] [Indexed: 12/19/2022]
Abstract
Speciation and hybridization are intertwined processes in the study of evolution. Hybridization between sufficiently diverged populations can result in genomic conflict within offspring, causing reduced viability and fertility, thus increasing divergence between populations. Conflicts between mitochondrial and nuclear genes are increasingly found to play a role in this process in various systems. We examine the possibility of this conflict in the bear macaque, Macaca arctoides (Primates: Cercopithecidae), a primate species exhibiting mitonuclear discordance due to extensive hybridization with species in the sinica and fascicularis groups. Here, divergence, introgression and natural selection of mitonuclear genes (N = 160) relative to nuclear control genes (N = 144) were analysed to determine whether there are evolutionary processes involved in resolving the potential conflict caused by mitonuclear discordance. Nucleotide divergence of mitonuclear genes is increased relative to control nuclear genes between M. arctoides and the species sharing its nuclear ancestry (p = 0.007), consistent with genetic conflict. However, measures of introgression and selection do not identify large-scale co-introgression or co-evolution as means to resolve mitonuclear conflict. Nonetheless, mitochondrial tRNA synthetases stand out in analyses using dN/dS and extended branch lengths as potential targets of selection. The methodology implemented provides a framework that can be used to examine the effects of mitonuclear co-introgression and co-evolution on a genomic scale in a variety of systems.
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Affiliation(s)
- Nick P Bailey
- Department of Biological Sciences, Auburn University, Auburn, AL, USA
| | - Laurie S Stevison
- Department of Biological Sciences, Auburn University, Auburn, AL, USA
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58
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Suvorov A, Scornavacca C, Fujimoto MS, Bodily P, Clement M, Crandall KA, Whiting MF, Schrider DR, Bybee SM. Deep ancestral introgression shapes evolutionary history of dragonflies and damselflies. Syst Biol 2021; 71:526-546. [PMID: 34324671 PMCID: PMC9017697 DOI: 10.1093/sysbio/syab063] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 07/20/2021] [Accepted: 07/26/2021] [Indexed: 11/13/2022] Open
Abstract
Introgression is an important biological process affecting at least 10% of the extant species in the animal kingdom. Introgression significantly impacts inference of phylogenetic species relationships where a strictly binary tree model cannot adequately explain reticulate net-like species relationships. Here we use phylogenomic approaches to understand patterns of introgression along the evolutionary history of a unique, non-model insect system: dragonflies and damselflies (Odonata). We demonstrate that introgression is a pervasive evolutionary force across various taxonomic levels within Odonata. In particular, we show that the morphologically "intermediate" species of Anisozygoptera (one of the three primary suborders within Odonata besides Zygoptera and Anisoptera), which retain phenotypic characteristics of the other two suborders, experienced high levels of introgression likely coming from zygopteran genomes. Additionally, we find evidence for multiple cases of deep inter-superfamilial ancestral introgression.
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Affiliation(s)
- Anton Suvorov
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Celine Scornavacca
- Institut des Sciences de l'Evolution Université de Montpellier, CNRS, IRD, EPHE CC 064, Place Eugène Bataillon, 34095 Montpellier Cedex 05, France
| | - M Stanley Fujimoto
- Department of Computer Science, Brigham Young University, Provo, UT, United States
| | - Paul Bodily
- Department of Computer Science, Idaho State University, Pocatello, ID, United States
| | - Mark Clement
- Department of Computer Science, Brigham Young University, Provo, UT, United States
| | - Keith A Crandall
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Washington, DC, United States
| | - Michael F Whiting
- Department of Biology, Brigham Young University, Provo, UT, United States.,M.L. Bean Museum, Brigham Young University, Provo, UT, United States
| | - Daniel R Schrider
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Seth M Bybee
- Department of Biology, Brigham Young University, Provo, UT, United States.,M.L. Bean Museum, Brigham Young University, Provo, UT, United States
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59
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Song Y, Jiang C, Li KH, Li J, Qiu H, Price M, Fan ZX, Li J. Genome-wide analysis reveals signatures of complex introgressive gene flow in macaques (genus Macaca). Zool Res 2021; 42:433-449. [PMID: 34114757 PMCID: PMC8317189 DOI: 10.24272/j.issn.2095-8137.2021.038] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The genus Macaca serves as an ideal research model for speciation and introgressive gene flow due to its short period of diversification (about five million years ago) and rapid radiation of constituent species. To understand evolutionary gene flow in macaques, we sequenced four whole genomes (two M. arctoides and two M. thibetana) and combined them with publicly available macaque genome data for genome-wide analyses. We analyzed 14 individuals from nine Macaca species covering all Asian macaque species groups and detected extensive gene flow signals, with the strongest signals between the fascicularis and silenus species groups. Notably, we detected bidirectional gene flow between M. fascicularis and M. nemestrina. The estimated proportion of the genome inherited via gene flow between the two species was 6.19%. However, the introgression signals found among studied island species, such as Sulawesi macaques and M. fuscata, and other species were largely attributed to the genomic similarity of closely related species or ancestral introgression. Furthermore, gene flow signals varied in individuals of the same species (M. arctoides, M. fascicularis, M. mulatta, M. nemestrina and M. thibetana), suggesting very recent gene flow after the populations split. Pairwise sequentially Markovian coalescence (PSMC) analysis showed all macaques experienced a bottleneck five million years ago, after which different species exhibited different fluctuations in demographic history trajectories, implying they have experienced complicated environmental variation and climate change. These results should help improve our understanding of the complicated evolutionary history of macaques, particularly introgressive gene flow.
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Affiliation(s)
- Yang Song
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Cong Jiang
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Kun-Hua Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Jing Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan 611130, China
| | - Hong Qiu
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Megan Price
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Zhen-Xin Fan
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China.,Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Jing Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China.,Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China. E-mail:
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60
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Sun C, Huang J, Wang Y, Zhao X, Su L, Thomas GWC, Zhao M, Zhang X, Jungreis I, Kellis M, Vicario S, Sharakhov IV, Bondarenko SM, Hasselmann M, Kim CN, Paten B, Penso-Dolfin L, Wang L, Chang Y, Gao Q, Ma L, Ma L, Zhang Z, Zhang H, Zhang H, Ruzzante L, Robertson HM, Zhu Y, Liu Y, Yang H, Ding L, Wang Q, Ma D, Xu W, Liang C, Itgen MW, Mee L, Cao G, Zhang Z, Sadd BM, Hahn MW, Schaack S, Barribeau SM, Williams PH, Waterhouse RM, Mueller RL. Genus-Wide Characterization of Bumblebee Genomes Provides Insights into Their Evolution and Variation in Ecological and Behavioral Traits. Mol Biol Evol 2021; 38:486-501. [PMID: 32946576 PMCID: PMC7826183 DOI: 10.1093/molbev/msaa240] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Bumblebees are a diverse group of globally important pollinators in natural ecosystems and for agricultural food production. With both eusocial and solitary life-cycle phases, and some social parasite species, they are especially interesting models to understand social evolution, behavior, and ecology. Reports of many species in decline point to pathogen transmission, habitat loss, pesticide usage, and global climate change, as interconnected causes. These threats to bumblebee diversity make our reliance on a handful of well-studied species for agricultural pollination particularly precarious. To broadly sample bumblebee genomic and phenotypic diversity, we de novo sequenced and assembled the genomes of 17 species, representing all 15 subgenera, producing the first genus-wide quantification of genetic and genomic variation potentially underlying key ecological and behavioral traits. The species phylogeny resolves subgenera relationships, whereas incomplete lineage sorting likely drives high levels of gene tree discordance. Five chromosome-level assemblies show a stable 18-chromosome karyotype, with major rearrangements creating 25 chromosomes in social parasites. Differential transposable element activity drives changes in genome sizes, with putative domestications of repetitive sequences influencing gene coding and regulatory potential. Dynamically evolving gene families and signatures of positive selection point to genus-wide variation in processes linked to foraging, diet and metabolism, immunity and detoxification, as well as adaptations for life at high altitudes. Our study reveals how bumblebee genes and genomes have evolved across the Bombus phylogeny and identifies variations potentially linked to key ecological and behavioral traits of these important pollinators.
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Affiliation(s)
- Cheng Sun
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jiaxing Huang
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yun Wang
- School of Life Sciences, Chongqing University, Chongqing, China
| | - Xiaomeng Zhao
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Long Su
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Gregg W C Thomas
- Division of Biological Sciences, University of Montana, Missoula, MT
| | - Mengya Zhao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
| | - Xingtan Zhang
- Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Irwin Jungreis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA.,Broad Institute of MIT and Harvard, Cambridge, MA
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA.,Broad Institute of MIT and Harvard, Cambridge, MA
| | - Saverio Vicario
- Institute of Atmospheric Pollution Research-Italian National Research Council C/O Department of Physics, University of Bari, Bari, Italy
| | - Igor V Sharakhov
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA.,Department of Cytology and Genetics, Tomsk State University, Tomsk, Russian Federation
| | - Semen M Bondarenko
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA
| | - Martin Hasselmann
- Department of Livestock Population Genomics, Institute of Animal Science, University of Hohenheim, Stuttgart, Germany
| | - Chang N Kim
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA
| | | | - Li Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yuxiao Chang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Qiang Gao
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Ling Ma
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Lina Ma
- China National Center for Bioinformation & Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Zhang Zhang
- China National Center for Bioinformation & Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Hongbo Zhang
- School of Life Sciences, Chongqing University, Chongqing, China
| | - Huahao Zhang
- College of Pharmacy and Life Science, Jiujiang University, Jiujiang, China
| | - Livio Ruzzante
- Department of Ecology and Evolution, University of Lausanne, and Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Hugh M Robertson
- Department of Entomology, University of Illinois at Urbana-Champaign, Champaign, IL
| | - Yihui Zhu
- Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California Davis, Davis, CA
| | - Yanjie Liu
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Huipeng Yang
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lele Ding
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Quangui Wang
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Dongna Ma
- Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Weilin Xu
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Cheng Liang
- Institute of Sericultural and Apiculture, Yunnan Academy of Agricultural Sciences, Mengzi, China
| | - Michael W Itgen
- Department of Biology, Colorado State University, Fort Collins, CO
| | - Lauren Mee
- Department of Ecology, Evolution and Behaviour, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Gang Cao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
| | - Ze Zhang
- School of Life Sciences, Chongqing University, Chongqing, China
| | - Ben M Sadd
- School of Biological Sciences, Illinois State University, Normal, IL
| | - Matthew W Hahn
- Department of Biology, Indiana University, Bloomington, IN.,Department of Computer Science, Indiana University, Bloomington, IN
| | | | - Seth M Barribeau
- Department of Ecology, Evolution and Behaviour, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Paul H Williams
- Department of Life Sciences, Natural History Museum, London, United Kingdom
| | - Robert M Waterhouse
- Department of Ecology and Evolution, University of Lausanne, and Swiss Institute of Bioinformatics, Lausanne, Switzerland
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61
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Ferreira MS, Jones MR, Callahan CM, Farelo L, Tolesa Z, Suchentrunk F, Boursot P, Mills LS, Alves PC, Good JM, Melo-Ferreira J. The Legacy of Recurrent Introgression during the Radiation of Hares. Syst Biol 2021; 70:593-607. [PMID: 33263746 PMCID: PMC8048390 DOI: 10.1093/sysbio/syaa088] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 11/06/2020] [Accepted: 11/13/2020] [Indexed: 12/30/2022] Open
Abstract
Hybridization may often be an important source of adaptive variation, but the extent and long-term impacts of introgression have seldom been evaluated in the phylogenetic context of a radiation. Hares (Lepus) represent a widespread mammalian radiation of 32 extant species characterized by striking ecological adaptations and recurrent admixture. To understand the relevance of introgressive hybridization during the diversification of Lepus, we analyzed whole exome sequences (61.7 Mb) from 15 species of hares (1-4 individuals per species), spanning the global distribution of the genus, and two outgroups. We used a coalescent framework to infer species relationships and divergence times, despite extensive genealogical discordance. We found high levels of allele sharing among species and show that this reflects extensive incomplete lineage sorting and temporally layered hybridization. Our results revealed recurrent introgression at all stages along the Lepus radiation, including recent gene flow between extant species since the last glacial maximum but also pervasive ancient introgression occurring since near the origin of the hare lineages. We show that ancient hybridization between northern hemisphere species has resulted in shared variation of potential adaptive relevance to highly seasonal environments, including genes involved in circadian rhythm regulation, pigmentation, and thermoregulation. Our results illustrate how the genetic legacy of ancestral hybridization may persist across a radiation, leaving a long-lasting signature of shared genetic variation that may contribute to adaptation. [Adaptation; ancient introgression; hybridization; Lepus; phylogenomics.].
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Affiliation(s)
- Mafalda S Ferreira
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal
- Division of Biological Sciences, University of Montana, Missoula, Montana, United States of America
| | - Matthew R Jones
- Division of Biological Sciences, University of Montana, Missoula, Montana, United States of America
| | - Colin M Callahan
- Division of Biological Sciences, University of Montana, Missoula, Montana, United States of America
| | - Liliana Farelo
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
| | - Zelalem Tolesa
- Department of Biology, Hawassa University, Hawassa, Ethiopia
| | - Franz Suchentrunk
- Department for Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Pierre Boursot
- Institut des Sciences de l’Évolution Montpellier (ISEM), Université de Montpellier, CNRS, IRD, EPHE, France
| | - L Scott Mills
- Wildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, Montana, United States of America
- Office of Research and Creative Scholarship, University of Montana, Missoula, Montana, United States of America; Jeffrey M. Good and José Melo-Ferreira shared the senior authorship
| | - Paulo C Alves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal
- Wildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, Montana, United States of America
| | - Jeffrey M Good
- Division of Biological Sciences, University of Montana, Missoula, Montana, United States of America
- Wildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, Montana, United States of America
| | - José Melo-Ferreira
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal
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62
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Hibbins MS, Gibson MJS, Hahn MW. Determining the probability of hemiplasy in the presence of incomplete lineage sorting and introgression. eLife 2020; 9:e63753. [PMID: 33345772 PMCID: PMC7800383 DOI: 10.7554/elife.63753] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/18/2020] [Indexed: 12/11/2022] Open
Abstract
The incongruence of character states with phylogenetic relationships is often interpreted as evidence of convergent evolution. However, trait evolution along discordant gene trees can also generate these incongruences - a phenomenon known as hemiplasy. Classic comparative methods do not account for discordance, resulting in incorrect inferences about the number, timing, and direction of trait transitions. Biological sources of discordance include incomplete lineage sorting (ILS) and introgression, but only ILS has received theoretical consideration in the context of hemiplasy. Here, we present a model that shows introgression makes hemiplasy more likely, such that methods that account for ILS alone will be conservative. We also present a method and software (HeIST) for making statistical inferences about the probability of hemiplasy and homoplasy in large datasets that contain both ILS and introgression. We apply our methods to two empirical datasets, finding that hemiplasy is likely to contribute to the observed trait incongruences in both.
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Affiliation(s)
- Mark S Hibbins
- Department of Biology, Indiana UniversityBloomingtonUnited States
| | | | - Matthew W Hahn
- Department of Biology, Indiana UniversityBloomingtonUnited States
- Department of Computer Science, Indiana UniversityBloomingtonUnited States
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63
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Primate phylogenomics uncovers multiple rapid radiations and ancient interspecific introgression. PLoS Biol 2020; 18:e3000954. [PMID: 33270638 PMCID: PMC7738166 DOI: 10.1371/journal.pbio.3000954] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 12/15/2020] [Accepted: 11/02/2020] [Indexed: 12/17/2022] Open
Abstract
Our understanding of the evolutionary history of primates is undergoing continual revision due to ongoing genome sequencing efforts. Bolstered by growing fossil evidence, these data have led to increased acceptance of once controversial hypotheses regarding phylogenetic relationships, hybridization and introgression, and the biogeographical history of primate groups. Among these findings is a pattern of recent introgression between species within all major primate groups examined to date, though little is known about introgression deeper in time. To address this and other phylogenetic questions, here, we present new reference genome assemblies for 3 Old World monkey (OWM) species: Colobus angolensis ssp. palliatus (the black and white colobus), Macaca nemestrina (southern pig-tailed macaque), and Mandrillus leucophaeus (the drill). We combine these data with 23 additional primate genomes to estimate both the species tree and individual gene trees using thousands of loci. While our species tree is largely consistent with previous phylogenetic hypotheses, the gene trees reveal high levels of genealogical discordance associated with multiple primate radiations. We use strongly asymmetric patterns of gene tree discordance around specific branches to identify multiple instances of introgression between ancestral primate lineages. In addition, we exploit recent fossil evidence to perform fossil-calibrated molecular dating analyses across the tree. Taken together, our genome-wide data help to resolve multiple contentious sets of relationships among primates, while also providing insight into the biological processes and technical artifacts that led to the disagreements in the first place. Combining three newly sequenced primate genomes with other published genomes, this study adapts a little-known method for detecting ancient introgression to genome-scale data, revealing multiple previously unknown examples of hybridization between primate species.
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