151
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Hou Y, Nowak MD, Mirré V, Bjorå CS, Brochmann C, Popp M. Thousands of RAD-seq Loci Fully Resolve the Phylogeny of the Highly Disjunct Arctic-Alpine Genus Diapensia (Diapensiaceae). PLoS One 2015; 10:e0140175. [PMID: 26448557 PMCID: PMC4598014 DOI: 10.1371/journal.pone.0140175] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 09/21/2015] [Indexed: 12/21/2022] Open
Abstract
Restriction-site associated DNA sequencing (RAD-seq) has recently become an important method to generate genome-wide molecular data for species delimitation, phylogeography, and population genetic studies. However, very few empirical studies have so far tested its applicability in phylogenetic reconstruction. The alpine-arctic genus Diapensia was selected to study the origin of the disjunction between the Arctic and the Himalayan-Hengduan Mountains (HHM). However, a previous phylogenetic analysis based on one nuclear and four plastid DNA regions failed to resolve the oldest divergences in Diapensia as well as the relationship between the two HHM species. Here we reconstruct a fully resolved phylogeny of Diapensia and address the conflict between the currently accepted taxonomy and the gene trees in the HHM species using RAD-seq. Based on a data set containing 2,650 loci selected to maximize the number of parsimony informative sites and allowing for a high level of missing data (51%), the phylogeny of Diapensia was fully resolved and each of the four species was reciprocally monophyletic. Whereas the arctic D. lapponica was inferred as sister to the HHM clade in the previous study, the RAD-seq data resolved the two arctic species as sisters to the HHM clade. Similar relationships were inferred from a differently filtered data set with far fewer loci (114) and less missing data (21%), but with lower support and with one of the two HHM species as non-monophyletic. Bayesian concordance analysis and Patterson’s D-statistic tests suggested that admixture has occurred between the two HHM species.
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Affiliation(s)
- Yan Hou
- Natural History Museum, University of Oslo, Oslo, Norway
- * E-mail:
| | - Michael D. Nowak
- Natural History Museum, University of Oslo, Oslo, Norway
- Science for Life Laboratory, Stockholm University, Solna, Sweden
| | - Virginia Mirré
- Natural History Museum, University of Oslo, Oslo, Norway
| | | | | | - Magnus Popp
- Natural History Museum, University of Oslo, Oslo, Norway
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152
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Xiao B, Tan Y, Long N, Chen X, Tong Z, Dong Y, Li Y. SNP-based genetic linkage map of tobacco (Nicotiana tabacum L.) using next-generation RAD sequencing. ACTA ACUST UNITED AC 2015; 22:11. [PMID: 26473145 PMCID: PMC4607152 DOI: 10.1186/s40709-015-0034-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Accepted: 09/18/2015] [Indexed: 12/30/2022]
Abstract
Background Tobacco (Nicotiana tabacum L.) is an important model system, which has been widely used in plant physiological studies and it is particularly useful as a bioreactor. Despite its importance, only limited molecular marker resources are available for genome analysis, genetic mapping and breeding. Restriction-site associated DNA sequencing (RAD-seq) is a powerful new method for targeted sequencing across the genomes of many individuals. This approach has broad potential for genetic analysis through linkage mapping. Results We constructed a RAD library using genomic DNA from a BC1 backcross population. Sequencing of 196 individuals was performed on an Illumina HiSeq 2500. Two linkage maps were constructed, one with a reference genome and another, termed as de novo identification of single nucleotide polymorphism (SNP) by RAD-seq, without a reference genome. Overall, 4138 and 2162 SNP markers with a total length of 1944.74 and 2000.9 cM were mapped to 24 linkage groups in the genetic maps based on reference genome and without reference, respectively. Conclusions Using two different SNP discovery methods based on next generation RAD sequencing technology, we have respectively mapped 2162 and 4318 SNPs in our backcross population. This study gives an excellent example for high density linkage map construction, irrespective of genome sequence availability, and provides saturated information for downstream genetic investigations such as quantitative trait locus analyses or genomic selection (e.g. bioreactor suitable cultivars). Electronic supplementary material The online version of this article (doi:10.1186/s40709-015-0034-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Bingguang Xiao
- Yunnan Academy of Tobacco Agricultural Science, Yuantong Street No. 33, Kunming, 650021 Yunnan China
| | - Yuntao Tan
- Faculty of Life Science and Technology, Kunming University of Science and Technology, JingMing South Road No. 727, Kunming, 650500 Yunnan China
| | - Ni Long
- Faculty of Life Science and Technology, Kunming University of Science and Technology, JingMing South Road No. 727, Kunming, 650500 Yunnan China
| | - Xuejun Chen
- Yunnan Academy of Tobacco Agricultural Science, Yuantong Street No. 33, Kunming, 650021 Yunnan China
| | - Zhijun Tong
- Yunnan Academy of Tobacco Agricultural Science, Yuantong Street No. 33, Kunming, 650021 Yunnan China
| | - Yang Dong
- Faculty of Life Science and Technology, Kunming University of Science and Technology, JingMing South Road No. 727, Kunming, 650500 Yunnan China
| | - Yongping Li
- Yunnan Academy of Tobacco Agricultural Science, Yuantong Street No. 33, Kunming, 650021 Yunnan China
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153
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Liu L, Jin X, Chen N, Li X, Li P, Fu C. Phylogeny of Morella rubra and Its Relatives (Myricaceae) and Genetic Resources of Chinese Bayberry Using RAD Sequencing. PLoS One 2015; 10:e0139840. [PMID: 26431030 PMCID: PMC4591994 DOI: 10.1371/journal.pone.0139840] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Accepted: 09/17/2015] [Indexed: 12/31/2022] Open
Abstract
Phylogenetic relationships among Chinese species of Morella (Myricaceae) are unresolved. Here, we use restriction site-associated DNA sequencing (RAD-seq) to identify candidate loci that will help in determining phylogenetic relationships among Morella rubra, M. adenophora, M. nana and M. esculenta. Three methods for inferring phylogeny, maximum parsimony (MP), maximum likelihood (ML) and Bayesian concordance, were applied to data sets including as many as 4253 RAD loci with 8360 parsimony informative variable sites. All three methods significantly favored the topology of (((M. rubra, M. adenophora), M. nana), M. esculenta). Two species from North America (M. cerifera and M. pensylvanica) were placed as sister to the four Chinese species. According to BEAST analysis, we deduced speciation of M. rubra to be at about the Miocene-Pliocene boundary (5.28 Ma). Intraspecific divergence in M. rubra occurred in the late Pliocene (3.39 Ma). From pooled data, we assembled 29378, 21902 and 23552 de novo contigs with an average length of 229, 234 and 234 bp for M. rubra, M. nana and M. esculenta respectively. The contigs were used to investigate functional classification of RAD tags in a BLASTX search. Additionally, we identified 3808 unlinked SNP sites across the four populations of M. rubra and discovered genes associated with fruit ripening and senescence, fruit quality and disease/defense metabolism based on KEGG database.
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Affiliation(s)
- Luxian Liu
- Key Laboratory of Conservation Biology for Endangered Wildlife of the Ministry of Education, and Laboratory of Systematic & Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Xinjie Jin
- Key Laboratory of Conservation Biology for Endangered Wildlife of the Ministry of Education, and Laboratory of Systematic & Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Nan Chen
- Key Laboratory of Conservation Biology for Endangered Wildlife of the Ministry of Education, and Laboratory of Systematic & Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Xian Li
- Laboratory of Fruit Quality Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Hangzhou 310058, China
| | - Pan Li
- Key Laboratory of Conservation Biology for Endangered Wildlife of the Ministry of Education, and Laboratory of Systematic & Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Chengxin Fu
- Key Laboratory of Conservation Biology for Endangered Wildlife of the Ministry of Education, and Laboratory of Systematic & Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
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154
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Demos TC, Kerbis Peterhans JC, Joseph TA, Robinson JD, Agwanda B, Hickerson MJ. Comparative Population Genomics of African Montane Forest Mammals Support Population Persistence across a Climatic Gradient and Quaternary Climatic Cycles. PLoS One 2015; 10:e0131800. [PMID: 26394036 PMCID: PMC4578943 DOI: 10.1371/journal.pone.0131800] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Accepted: 06/07/2015] [Indexed: 12/03/2022] Open
Abstract
The Eastern Afromontane biodiversity hotspot (EABH) has the highest concentration of biodiversity in tropical Africa, yet few studies have investigated recent historical diversification processes in EABH lineages. Herein, we analyze restriction-site associated DNA-sequences (RAD-Seq) to study recent historical processes in co-distributed mouse (Hylomyscus) and shrew (Sylvisorex) species complexes, with an aim to better determine how historical paleoenvironmental processes might have contributed to the EABH’s high diversity. We analyzed complete SNP matrices of > 50,000 RAD loci to delineate populations, reconstruct the history of isolation and admixture, and discover geographic patterns of genetic partitioning. These analyses demonstrate that persistently unsuitable habitat may have isolated multiple populations distributed across montane habitat islands in the Itombwe Massif and Albertine Rift to the west as well as Mt Elgon and Kenyan Highlands to the east. We detected low genetic diversity in Kenyan Highland populations of both genera, consistent with smaller historical population sizes in this region. We additionally tested predictions that Albertine Rift populations are older and more persistently isolated compared to the Kenyan Highlands. Phylogenetic analyses support greater historical isolation among Albertine Rift populations of both shrews and mice compared to the Kenyan Highlands and suggest that there are genetically isolated populations from both focal genera in the Itombwe Massif, Democratic Republic of Congo. The Albertine Rift ecoregion has the highest mammalian tropical forest species richness per unit area on earth. Our results clearly support accelerating efforts to conserve this diversity.
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Affiliation(s)
- Terrence C. Demos
- Biology Department, City College of New York, City University of New York, New York, New York, 10031, United States of America
- Biology Doctoral Program, The Graduate School and University Center, City University of New York, New York, New York, 10016, United States of America
- Integrative Research Center, Field Museum of Natural History, Chicago, Illinois, 60605, United States of America
- * E-mail:
| | - Julian C. Kerbis Peterhans
- Integrative Research Center, Field Museum of Natural History, Chicago, Illinois, 60605, United States of America
- College of Professional Studies, Roosevelt University, Chicago, Illinois, 60605, United States of America
| | - Tyler A. Joseph
- Biology Department, City College of New York, City University of New York, New York, New York, 10031, United States of America
| | - John D. Robinson
- Biology Department, City College of New York, City University of New York, New York, New York, 10031, United States of America
- South Carolina Department of Natural Resources, Charleston, South Carolina, 29412, United States of America
| | - Bernard Agwanda
- Mammalogy Section, National Museums of Kenya, Nairobi, 00100, Kenya
| | - Michael J. Hickerson
- Biology Department, City College of New York, City University of New York, New York, New York, 10031, United States of America
- Biology Doctoral Program, The Graduate School and University Center, City University of New York, New York, New York, 10016, United States of America
- Division of Invertebrate Zoology, American Museum of Natural History, New York, New York 10024, United States of America
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155
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Zhang Q, Liu C, Liu Y, VanBuren R, Yao X, Zhong C, Huang H. High-density interspecific genetic maps of kiwifruit and the identification of sex-specific markers. DNA Res 2015; 22:367-75. [PMID: 26370666 PMCID: PMC4596402 DOI: 10.1093/dnares/dsv019] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Accepted: 08/19/2015] [Indexed: 01/25/2023] Open
Abstract
Kiwifruit (Actinidia chinensis Planchon) is an important specialty fruit crop that suffers from narrow genetic diversity stemming from recent global commercialization and limited cultivar improvement. Here, we present high-density RAD-seq-based genetic maps using an interspecific F1 cross between Actinidia rufa ‘MT570001’ and A. chinensis ‘Guihai No4’. The A. rufa (maternal) map consists of 2,426 single-nucleotide polymorphism (SNP) markers with a total length of 2,651 cM in 29 linkage groups (LGs) corresponding to the 29 chromosomes. The A. chinensis (paternal) map consists of 4,214 SNP markers over 3,142 cM in 29 LGs. Using these maps, we were able to anchor an additional 440 scaffolds from the kiwifruit draft genome assembly. Kiwifruit is functionally dioecious, which presents unique challenges for breeding and production. Three sex-specific simple sequence repeats (SSR) markers can be used to accurately sex type male and female kiwifruit in breeding programmes. The sex-determination region (SDR) in kiwifruit was narrowed to a 1-Mb subtelomeric region on chromosome 25. Localizing the SDR will expedite the discovery of genes controlling carpel abortion in males and pollen sterility in females.
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Affiliation(s)
- Qiong Zhang
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China
| | - Chunyan Liu
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China University of Chinese Academy of Sciences, Beijing 100039, China
| | - Yifei Liu
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China
| | | | - Xiaohong Yao
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China
| | - Caihong Zhong
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China
| | - Hongwen Huang
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China
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156
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Rellstab C, Gugerli F, Eckert AJ, Hancock AM, Holderegger R. A practical guide to environmental association analysis in landscape genomics. Mol Ecol 2015; 24:4348-70. [DOI: 10.1111/mec.13322] [Citation(s) in RCA: 441] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Revised: 07/10/2015] [Accepted: 07/13/2015] [Indexed: 12/14/2022]
Affiliation(s)
- Christian Rellstab
- WSL Swiss Federal Research Institute; Zürcherstrasse 111 8903 Birmensdorf Switzerland
| | - Felix Gugerli
- WSL Swiss Federal Research Institute; Zürcherstrasse 111 8903 Birmensdorf Switzerland
| | - Andrew J. Eckert
- Department of Biology; Virginia Commonwealth University; Richmond VA 23284 USA
| | - Angela M. Hancock
- Faculty of Molecular Biology; Max F. Perutz Laboratories and University of Vienna; Oskar-Morgenstern-Platz 1 1090 Vienna Austria
| | - Rolf Holderegger
- WSL Swiss Federal Research Institute; Zürcherstrasse 111 8903 Birmensdorf Switzerland
- ETH Zürich; Institute of Integrative Biology; Universitätstrasse 16 8092 Zürich Switzerland
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157
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Leaché AD, Banbury BL, Felsenstein J, de Oca ANM, Stamatakis A. Short Tree, Long Tree, Right Tree, Wrong Tree: New Acquisition Bias Corrections for Inferring SNP Phylogenies. Syst Biol 2015; 64:1032-47. [PMID: 26227865 PMCID: PMC4604835 DOI: 10.1093/sysbio/syv053] [Citation(s) in RCA: 210] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Accepted: 07/24/2015] [Indexed: 01/01/2023] Open
Abstract
Single nucleotide polymorphisms (SNPs) are useful markers for phylogenetic studies owing in part to their ubiquity throughout the genome and ease of collection. Restriction site associated DNA sequencing (RADseq) methods are becoming increasingly popular for SNP data collection, but an assessment of the best practises for using these data in phylogenetics is lacking. We use computer simulations, and new double digest RADseq (ddRADseq) data for the lizard family Phrynosomatidae, to investigate the accuracy of RAD loci for phylogenetic inference. We compare the two primary ways RAD loci are used during phylogenetic analysis, including the analysis of full sequences (i.e., SNPs together with invariant sites), or the analysis of SNPs on their own after excluding invariant sites. We find that using full sequences rather than just SNPs is preferable from the perspectives of branch length and topological accuracy, but not of computational time. We introduce two new acquisition bias corrections for dealing with alignments composed exclusively of SNPs, a conditional likelihood method and a reconstituted DNA approach. The conditional likelihood method conditions on the presence of variable characters only (the number of invariant sites that are unsampled but known to exist is not considered), while the reconstituted DNA approach requires the user to specify the exact number of unsampled invariant sites prior to the analysis. Under simulation, branch length biases increase with the amount of missing data for both acquisition bias correction methods, but branch length accuracy is much improved in the reconstituted DNA approach compared to the conditional likelihood approach. Phylogenetic analyses of the empirical data using concatenation or a coalescent-based species tree approach provide strong support for many of the accepted relationships among phrynosomatid lizards, suggesting that RAD loci contain useful phylogenetic signal across a range of divergence times despite the presence of missing data. Phylogenetic analysis of RAD loci requires careful attention to model assumptions, especially if downstream analyses depend on branch lengths.
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Affiliation(s)
- Adam D Leaché
- Department of Biology, University of Washington, Seattle, WA 98195, USA; Burke Museum of Natural History and Culture, University of Washington, Seattle, WA 98195, USA;
| | - Barbara L Banbury
- Department of Biology, University of Washington, Seattle, WA 98195, USA
| | - Joseph Felsenstein
- Department of Biology, University of Washington, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Adrián Nieto-Montes de Oca
- Departamento de Biología Evolutiva, Facultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad Universitaria, México 04510, Distrito Federal, México
| | - Alexandros Stamatakis
- Exelixis Laboratory, Scientific Computing Group, Heidelberg Institute for Theoretical Studies (HITS gGmbH), Schloss-Wolfsbrunnenweg 35, D-69118 Heidelberg, Germany; and Department of Informatics, Institute for Theoretical Informatics, Karlsruhe Institute of Technology, Am Fasanengarten 5, 76131 Karlsruhe, Germany
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158
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Emerson KJ, Conn JE, Bergo ES, Randel MA, Sallum MAM. Brazilian Anopheles darlingi Root (Diptera: Culicidae) Clusters by Major Biogeographical Region. PLoS One 2015; 10:e0130773. [PMID: 26172559 PMCID: PMC4501553 DOI: 10.1371/journal.pone.0130773] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2015] [Accepted: 05/23/2015] [Indexed: 11/18/2022] Open
Abstract
The major drivers of the extensive biodiversity of the Neotropics are proposed to be geological and tectonic events together with Pliocene and Pleistocene environmental and climatic change. Geographical barriers represented by the rivers Amazonas/Solimões, the Andes and the coastal mountain ranges in eastern Brazil have been hypothesized to lead to diversification within the primary malaria vector, Anopheles (Nyssorhynchus) darlingi Root, which primarily inhabits rainforest. To test this biogeographical hypothesis, we analyzed 786 single nucleotide polymorphisms (SNPs) in 12 populations of An. darlingi from across the complex Brazilian landscape. Both model-based (STRUCTURE) and non-model-based (Principal Components and Discriminant Analysis) analysis of population structure detected three major genetic clusters that correspond with newly described Neotropical biogeographical regions: 1) Atlantic Forest province (= southeast population); 2) Parana Forest province (= West Atlantic forest population, with one Chacoan population - SP); and 3) Brazilian dominion population (= Amazonian population with one Chacoan population - TO). Significant levels of pairwise genetic divergences were found among the three clusters, allele sharing among clusters was negligible, and geographical distance did not contribute to differentiation. We infer that the Atlantic forest coastal mountain range limited dispersal between the Atlantic Forest province and the Parana Forest province populations, and that the large, diagonal open vegetation region of the Chacoan dominion dramatically reduced dispersal between the Parana and Brazilian dominion populations. We hypothesize that the three genetic clusters may represent three putative species.
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Affiliation(s)
- Kevin J. Emerson
- Biology Department, St. Mary’s College of Maryland, St. Mary’s City, Maryland, United States of America
| | - Jan E. Conn
- The Wadsworth Center, New York State Department of Health, Albany, New York, United States of America
- Department of Biomedical Sciences—School of Public Health, SUNY Albany, Albany, New York, United States of America
| | - Eduardo S. Bergo
- Superintendência de Controle de Endemias, Secretaria de Estado da Saúde de São Paulo, Araraquara, São Paulo, Brazil
| | - Melissa A. Randel
- Institute of Molecular Biology, University of Oregon, Eugene, Oregon, United States of America
| | - Maria Anice M. Sallum
- Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil
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159
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Gonen S, Bishop SC, Houston RD. Exploring the utility of cross-laboratory RAD-sequencing datasets for phylogenetic analysis. BMC Res Notes 2015; 8:299. [PMID: 26152111 PMCID: PMC4495686 DOI: 10.1186/s13104-015-1261-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2015] [Accepted: 06/25/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Restriction site-Associated DNA sequencing (RAD-Seq) is widely applied to generate genome-wide sequence and genetic marker datasets. RAD-Seq has been extensively utilised, both at the population level and across species, for example in the construction of phylogenetic trees. However, the consistency of RAD-Seq data generated in different laboratories, and the potential use of cross-species orthologous RAD loci in the estimation of genetic relationships, have not been widely investigated. This study describes the use of SbfI RAD-Seq data for the estimation of evolutionary relationships amongst ten teleost fish species, using previously established phylogeny as a benchmark. RESULTS The number of orthologous SbfI RAD loci identified decreased with increasing evolutionary distance between the species, with several thousand loci conserved across five salmonid species (divergence ~50 MY), and several hundred conserved across the more distantly related teleost species (divergence ~100-360 MY). The majority (>70%) of loci identified between the more distantly related species were genic in origin, suggesting that the bias of SbfI towards genic regions is useful for identifying distant orthologs. Interspecific single nucleotide variants at each orthologous RAD locus were identified. Evolutionary relationships estimated using concatenated sequences of interspecific variants were congruent with previously published phylogenies, even for distantly (divergence up to ~360 MY) related species. CONCLUSION Overall, this study has demonstrated that orthologous SbfI RAD loci can be identified across closely and distantly related species. This has positive implications for the repeatability of SbfI RAD-Seq and its potential to address research questions beyond the scope of the original studies. Furthermore, the concordance in tree topologies and relationships estimated in this study with published teleost phylogenies suggests that similar meta-datasets could be utilised in the prediction of evolutionary relationships across populations and species with readily available RAD-Seq datasets, but for which relationships remain uncharacterised.
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Affiliation(s)
- Serap Gonen
- The Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, Scotland, UK.
| | - Stephen C Bishop
- The Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, Scotland, UK.
| | - Ross D Houston
- The Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, Scotland, UK.
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160
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Combosch DJ, Vollmer SV. Trans-Pacific RAD-Seq population genomics confirms introgressive hybridization in Eastern Pacific Pocillopora corals. Mol Phylogenet Evol 2015; 88:154-62. [DOI: 10.1016/j.ympev.2015.03.022] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Revised: 03/23/2015] [Accepted: 03/26/2015] [Indexed: 01/30/2023]
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161
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The evolutionary history of the embiotocid surfperch radiation based on genome-wide RAD sequence data. Mol Phylogenet Evol 2015; 88:55-63. [DOI: 10.1016/j.ympev.2015.03.027] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Revised: 03/29/2015] [Accepted: 03/31/2015] [Indexed: 01/19/2023]
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162
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Fernández R, Schubert M, Vargas-Velázquez AM, Brownlow A, Víkingsson GA, Siebert U, Jensen LF, Øien N, Wall D, Rogan E, Mikkelsen B, Dabin W, Alfarhan AH, Alquraishi SA, Al-Rasheid KAS, Guillot G, Orlando L. A genomewide catalogue of single nucleotide polymorphisms in white-beaked and Atlantic white-sided dolphins. Mol Ecol Resour 2015; 16:266-76. [DOI: 10.1111/1755-0998.12427] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2015] [Revised: 05/01/2015] [Accepted: 05/05/2015] [Indexed: 11/30/2022]
Affiliation(s)
- R. Fernández
- Centre for GeoGenetics; University of Copenhagen; Øster Volgade 5-7 1350K Copenhagen Denmark
| | - M. Schubert
- Centre for GeoGenetics; University of Copenhagen; Øster Volgade 5-7 1350K Copenhagen Denmark
| | - A. M. Vargas-Velázquez
- Centre for GeoGenetics; University of Copenhagen; Øster Volgade 5-7 1350K Copenhagen Denmark
| | - A. Brownlow
- Wildlife Unit; SAC Veterinary Services; Drummondhill, Stratherrick Road Inverness UK
| | | | - U. Siebert
- Institute for Terrestrial and Aquatic Wildlife Research; University of Veterinary Medicine Hannover, Foundation; Werftstraße 6 Büsum Germany
| | - L. F. Jensen
- Fisheries and Maritime Museum; Tarphagevej 2 Esbjerg Denmark
| | - N. Øien
- Institute for Marine Research; 5817 Bergen Norway
| | - D. Wall
- Irish Whale and Dolphin Group; Merchants Quay, Kilrush, Co.; Clare Ireland
| | - E. Rogan
- School of Biological, Earth and Environmental Sciences; University College Cork; Distillery Fields, North Mall Cork Ireland
| | - B. Mikkelsen
- Natural History Museum; V. U. Hammersheimsgøta 13 100 Tórshavn Faroe Islands
| | - W. Dabin
- Centre de Recherche sur les mammiféres marins; Université La Rochelle; 5 allée de l'Océan La Rochelle France
| | - A. H. Alfarhan
- Zoology Department; College of Science; King Saud University; Riyadh 11451 Saudi Arabia
| | - S. A. Alquraishi
- Zoology Department; College of Science; King Saud University; Riyadh 11451 Saudi Arabia
| | - K. A. S. Al-Rasheid
- Zoology Department; College of Science; King Saud University; Riyadh 11451 Saudi Arabia
| | - G. Guillot
- Department of Applied Mathematics and Computer Science; Technical University of Denmark; Richard Petersens Plads Lyngvy Denmark
| | - L. Orlando
- Centre for GeoGenetics; University of Copenhagen; Øster Volgade 5-7 1350K Copenhagen Denmark
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163
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Papadopoulou A, Knowles LL. Genomic tests of the species-pump hypothesis: Recent island connectivity cycles drive population divergence but not speciation in Caribbean crickets across the Virgin Islands. Evolution 2015; 69:1501-1517. [DOI: 10.1111/evo.12667] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Accepted: 04/13/2015] [Indexed: 01/16/2023]
Affiliation(s)
- Anna Papadopoulou
- Department of Ecology and Evolutionary Biology; Museum of Zoology; University of Michigan; Ann Arbor Michigan 48109
| | - L. Lacey Knowles
- Department of Ecology and Evolutionary Biology; Museum of Zoology; University of Michigan; Ann Arbor Michigan 48109
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Yang H, Li C, Lam HM, Clements J, Yan G, Zhao S. Sequencing consolidates molecular markers with plant breeding practice. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2015; 128:779-95. [PMID: 25821196 DOI: 10.1007/s00122-015-2499-8] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2014] [Accepted: 03/14/2015] [Indexed: 05/20/2023]
Abstract
Plenty of molecular markers have been developed by contemporary sequencing technologies, whereas few of them are successfully applied in breeding, thus we present a review on how sequencing can facilitate marker-assisted selection in plant breeding. The growing global population and shrinking arable land area require efficient plant breeding. Novel strategies assisted by certain markers have proven effective for genetic gains. Fortunately, cutting-edge sequencing technologies bring us a deluge of genomes and genetic variations, enlightening the potential of marker development. However, a large gap still exists between the potential of molecular markers and actual plant breeding practices. In this review, we discuss marker-assisted breeding from a historical perspective, describe the road from crop sequencing to breeding, and highlight how sequencing facilitates the application of markers in breeding practice.
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Affiliation(s)
- Huaan Yang
- Department of Agriculture and Food Western Australia, 3 Baron-Hay Court, South Perth, 6151, Australia,
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165
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Sadd BM, Barribeau SM, Bloch G, de Graaf DC, Dearden P, Elsik CG, Gadau J, Grimmelikhuijzen CJP, Hasselmann M, Lozier JD, Robertson HM, Smagghe G, Stolle E, Van Vaerenbergh M, Waterhouse RM, Bornberg-Bauer E, Klasberg S, Bennett AK, Câmara F, Guigó R, Hoff K, Mariotti M, Munoz-Torres M, Murphy T, Santesmasses D, Amdam GV, Beckers M, Beye M, Biewer M, Bitondi MMG, Blaxter ML, Bourke AFG, Brown MJF, Buechel SD, Cameron R, Cappelle K, Carolan JC, Christiaens O, Ciborowski KL, Clarke DF, Colgan TJ, Collins DH, Cridge AG, Dalmay T, Dreier S, du Plessis L, Duncan E, Erler S, Evans J, Falcon T, Flores K, Freitas FCP, Fuchikawa T, Gempe T, Hartfelder K, Hauser F, Helbing S, Humann FC, Irvine F, Jermiin LS, Johnson CE, Johnson RM, Jones AK, Kadowaki T, Kidner JH, Koch V, Köhler A, Kraus FB, Lattorff HMG, Leask M, Lockett GA, Mallon EB, Antonio DSM, Marxer M, Meeus I, Moritz RFA, Nair A, Näpflin K, Nissen I, Niu J, Nunes FMF, Oakeshott JG, Osborne A, Otte M, Pinheiro DG, Rossié N, Rueppell O, Santos CG, Schmid-Hempel R, Schmitt BD, Schulte C, Simões ZLP, Soares MPM, Swevers L, Winnebeck EC, Wolschin F, Yu N, Zdobnov EM, Aqrawi PK, Blankenburg KP, Coyle M, Francisco L, Hernandez AG, Holder M, Hudson ME, Jackson L, Jayaseelan J, Joshi V, Kovar C, Lee SL, Mata R, Mathew T, Newsham IF, Ngo R, Okwuonu G, Pham C, Pu LL, Saada N, Santibanez J, Simmons D, Thornton R, Venkat A, Walden KKO, Wu YQ, Debyser G, Devreese B, Asher C, Blommaert J, Chipman AD, Chittka L, Fouks B, Liu J, O'Neill MP, Sumner S, Puiu D, Qu J, Salzberg SL, Scherer SE, Muzny DM, Richards S, Robinson GE, Gibbs RA, Schmid-Hempel P, Worley KC. The genomes of two key bumblebee species with primitive eusocial organization. Genome Biol 2015; 16:76. [PMID: 25908251 PMCID: PMC4414376 DOI: 10.1186/s13059-015-0623-3] [Citation(s) in RCA: 249] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Accepted: 03/10/2015] [Indexed: 12/25/2022] Open
Abstract
Background The shift from solitary to social behavior is one of the major evolutionary transitions. Primitively eusocial bumblebees are uniquely placed to illuminate the evolution of highly eusocial insect societies. Bumblebees are also invaluable natural and agricultural pollinators, and there is widespread concern over recent population declines in some species. High-quality genomic data will inform key aspects of bumblebee biology, including susceptibility to implicated population viability threats. Results We report the high quality draft genome sequences of Bombus terrestris and Bombus impatiens, two ecologically dominant bumblebees and widely utilized study species. Comparing these new genomes to those of the highly eusocial honeybee Apis mellifera and other Hymenoptera, we identify deeply conserved similarities, as well as novelties key to the biology of these organisms. Some honeybee genome features thought to underpin advanced eusociality are also present in bumblebees, indicating an earlier evolution in the bee lineage. Xenobiotic detoxification and immune genes are similarly depauperate in bumblebees and honeybees, and multiple categories of genes linked to social organization, including development and behavior, show high conservation. Key differences identified include a bias in bumblebee chemoreception towards gustation from olfaction, and striking differences in microRNAs, potentially responsible for gene regulation underlying social and other traits. Conclusions These two bumblebee genomes provide a foundation for post-genomic research on these key pollinators and insect societies. Overall, gene repertoires suggest that the route to advanced eusociality in bees was mediated by many small changes in many genes and processes, and not by notable expansion or depauperation. Electronic supplementary material The online version of this article (doi:10.1186/s13059-015-0623-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ben M Sadd
- School of Biological Sciences, Illinois State University, Normal, IL, 61790, USA. .,Experimental Ecology, Institute of Integrative Biology, Eidgenössiche Technische Hochschule (ETH) Zürich, CH-8092, Zürich, Switzerland.
| | - Seth M Barribeau
- Experimental Ecology, Institute of Integrative Biology, Eidgenössiche Technische Hochschule (ETH) Zürich, CH-8092, Zürich, Switzerland. .,Department of Biology, East Carolina University, Greenville, NC, 27858, USA.
| | - Guy Bloch
- Department of Ecology, Evolution, and Behavior, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Dirk C de Graaf
- Laboratory of Zoophysiology, Faculty of Sciences, Ghent University, Krijgslaan 281, S2, 9000, Ghent, Belgium.
| | - Peter Dearden
- Laboratory for Evolution and Development, Genetics Otago and the National Research Centre for Growth and Development, Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand.
| | - Christine G Elsik
- Division of Animal Sciences, Division of Plant Sciences, and MU Informatics Institute, University of Missouri, Columbia, MO, 65211, USA. .,Department of Biology, Georgetown University, Washington, DC, 20057, USA.
| | - Jürgen Gadau
- School of Life Sciences, Arizona State University, Tempe, AZ, 85287, USA.
| | - Cornelis J P Grimmelikhuijzen
- Center for Functional and Comparative Insect Genomics, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Martin Hasselmann
- University of Hohenheim, Institute of Animal Science, Garbenstrasse 17, 70599, Stuttgart, Germany.
| | - Jeffrey D Lozier
- Department of Biological Sciences, University of Alabama, Tuscaloosa, AL, 35487, USA.
| | - Hugh M Robertson
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
| | - Guy Smagghe
- Laboratory of Agrozoology, Department of Crop Protection, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
| | - Eckart Stolle
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany.
| | - Matthias Van Vaerenbergh
- Laboratory of Zoophysiology, Faculty of Sciences, Ghent University, Krijgslaan 281, S2, 9000, Ghent, Belgium.
| | - Robert M Waterhouse
- Department of Genetic Medicine and Development, University of Geneva Medical School, rue Michel-Servet 1, 1211, Geneva, Switzerland. .,Swiss Institute of Bioinformatics, rue Michel-Servet 1, 1211, Geneva, Switzerland. .,Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA, 02139, USA. .,The Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA, 02142, USA.
| | - Erich Bornberg-Bauer
- Westfalian Wilhelms University, Institute of Evolution and Biodiversity, Huefferstrasse 1, 48149, Muenster, Germany.
| | - Steffen Klasberg
- Westfalian Wilhelms University, Institute of Evolution and Biodiversity, Huefferstrasse 1, 48149, Muenster, Germany.
| | - Anna K Bennett
- Department of Biology, Georgetown University, Washington, DC, 20057, USA.
| | - Francisco Câmara
- Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain. .,Universitat Pompeu Fabra (UPF), Barcelona, Spain.
| | - Roderic Guigó
- Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain. .,Universitat Pompeu Fabra (UPF), Barcelona, Spain.
| | - Katharina Hoff
- Ernst Moritz Arndt University Greifswald, Institute for Mathematics and Computer Science, Walther-Rathenau-Str. 47, 17487, Greifswald, Germany.
| | - Marco Mariotti
- Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain. .,Universitat Pompeu Fabra (UPF), Barcelona, Spain.
| | - Monica Munoz-Torres
- Department of Biology, Georgetown University, Washington, DC, 20057, USA. .,Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| | - Terence Murphy
- National Center for Biotechnology Information, National Library of Medicine, Bethesda, USA.
| | - Didac Santesmasses
- Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain. .,Universitat Pompeu Fabra (UPF), Barcelona, Spain.
| | - Gro V Amdam
- School of Life Sciences, Arizona State University, Tempe, AZ, 85287, USA. .,Department of Chemistry, Biotechnology and Food Science, Norwegian University of Food Science, N-1432, Aas, Norway.
| | - Matthew Beckers
- School of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.
| | - Martin Beye
- Institute of Evolutionary Genetics, Heinrich Heine University Duesseldorf, Universitaetsstrasse 1, 40225, Duesseldorf, Germany.
| | - Matthias Biewer
- University of Hohenheim, Institute of Animal Science, Garbenstrasse 17, 70599, Stuttgart, Germany. .,University of Cologne, Institute of Genetics, Cologne, Germany.
| | - Márcia M G Bitondi
- Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 14040-901, Ribeirão Preto, Brazil.
| | - Mark L Blaxter
- Institute of Evolutionary Biology and Edinburgh Genomics, The Ashworth Laboratories, The King's Buildings, University of Edinburgh, Edinburgh, EH9 3FL, UK.
| | - Andrew F G Bourke
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.
| | - Mark J F Brown
- School of Biological Sciences, Royal Holloway University of London, London, UK.
| | - Severine D Buechel
- Experimental Ecology, Institute of Integrative Biology, Eidgenössiche Technische Hochschule (ETH) Zürich, CH-8092, Zürich, Switzerland.
| | - Rossanah Cameron
- Laboratory for Evolution and Development, Genetics Otago and the National Research Centre for Growth and Development, Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand.
| | - Kaat Cappelle
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
| | - James C Carolan
- Maynooth University Department of Biology, Maynooth University, Co, Kildare, Ireland.
| | - Olivier Christiaens
- Laboratory of Agrozoology, Department of Crop Protection, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
| | - Kate L Ciborowski
- School of Biological Sciences, University of Bristol, 24 Tyndall Avenue, Bristol, BS8 1TQ, UK.
| | | | - Thomas J Colgan
- Department of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland.
| | - David H Collins
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.
| | - Andrew G Cridge
- Laboratory for Evolution and Development, Genetics Otago and the National Research Centre for Growth and Development, Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand.
| | - Tamas Dalmay
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.
| | - Stephanie Dreier
- Institute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY, UK.
| | - Louis du Plessis
- Theoretical Biology, Institute of Integrative Biology, Eidgenössiche Technische Hochschule (ETH) Zürich, CH-8092, Zürich, Switzerland. .,Swiss Institute of Bioinformatics, Lausanne, Switzerland. .,Computational Evolution, Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
| | - Elizabeth Duncan
- Laboratory for Evolution and Development, Genetics Otago and the National Research Centre for Growth and Development, Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand.
| | - Silvio Erler
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany.
| | - Jay Evans
- USDA-ARS Bee Research Laboratory, Maryland, USA.
| | - Tiago Falcon
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 14040-900, Ribeirão Preto, Brazil.
| | - Kevin Flores
- Center for Research in Scientific Computation, North Carolina State University Raleigh, Raleigh, NC, USA.
| | - Flávia C P Freitas
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 14040-900, Ribeirão Preto, Brazil.
| | - Taro Fuchikawa
- Department of Ecology, Evolution, and Behavior, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel. .,Laboratory of Insect Ecology, Graduate School of Agriculture, Kyoto University, Kyoto, Japan.
| | - Tanja Gempe
- Institute of Evolutionary Genetics, Heinrich Heine University Duesseldorf, Universitaetsstrasse 1, 40225, Duesseldorf, Germany.
| | - Klaus Hartfelder
- Departamento de Biologia Celular e Molecular e Bioagentes Patogênicos, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 14040-900, Ribeirão Preto, Brazil.
| | - Frank Hauser
- Center for Functional and Comparative Insect Genomics, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Sophie Helbing
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany.
| | - Fernanda C Humann
- Instituto Federal de Educação, Ciência e Tecnologia de São Paulo, 15991-502, Matão, Brazil.
| | - Frano Irvine
- Laboratory for Evolution and Development, Genetics Otago and the National Research Centre for Growth and Development, Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand.
| | | | - Claire E Johnson
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
| | - Reed M Johnson
- Department of Entomology, The Ohio State University, Wooster, OH, 44791, USA.
| | - Andrew K Jones
- Department of Biological and Medical Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, OX3 0BP, UK.
| | - Tatsuhiko Kadowaki
- Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
| | - Jonathan H Kidner
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany.
| | - Vasco Koch
- Institute of Evolutionary Genetics, Heinrich Heine University Duesseldorf, Universitaetsstrasse 1, 40225, Duesseldorf, Germany.
| | - Arian Köhler
- Institute of Evolutionary Genetics, Heinrich Heine University Duesseldorf, Universitaetsstrasse 1, 40225, Duesseldorf, Germany.
| | - F Bernhard Kraus
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany. .,Department of Laboratory Medicine, University Hospital Halle (Saale), Halle, Germany.
| | - H Michael G Lattorff
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany. .,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
| | - Megan Leask
- Laboratory for Evolution and Development, Genetics Otago and the National Research Centre for Growth and Development, Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand.
| | | | - Eamonn B Mallon
- Department of Biology, University of Leicester, Leicester, UK.
| | - David S Marco Antonio
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 14040-900, Ribeirão Preto, Brazil.
| | - Monika Marxer
- Experimental Ecology, Institute of Integrative Biology, Eidgenössiche Technische Hochschule (ETH) Zürich, CH-8092, Zürich, Switzerland.
| | - Ivan Meeus
- Laboratory of Agrozoology, Department of Crop Protection, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
| | - Robin F A Moritz
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany.
| | - Ajay Nair
- Laboratory for Evolution and Development, Genetics Otago and the National Research Centre for Growth and Development, Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand.
| | - Kathrin Näpflin
- Experimental Ecology, Institute of Integrative Biology, Eidgenössiche Technische Hochschule (ETH) Zürich, CH-8092, Zürich, Switzerland.
| | - Inga Nissen
- Institute of Evolutionary Genetics, Heinrich Heine University Duesseldorf, Universitaetsstrasse 1, 40225, Duesseldorf, Germany.
| | - Jinzhi Niu
- Laboratory of Agrozoology, Department of Crop Protection, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
| | - Francis M F Nunes
- Departamento de Genética e Evolução, Centro de Ciências Biológicas e da Saúde, Universidade Federal de São Carlos, 13565-905, São Carlos, Brazil.
| | | | - Amy Osborne
- Laboratory for Evolution and Development, Genetics Otago and the National Research Centre for Growth and Development, Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand.
| | - Marianne Otte
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany.
| | - Daniel G Pinheiro
- Departamento de Tecnologia, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, 14884-900, Jaboticabal, Brazil.
| | - Nina Rossié
- Institute of Evolutionary Genetics, Heinrich Heine University Duesseldorf, Universitaetsstrasse 1, 40225, Duesseldorf, Germany.
| | - Olav Rueppell
- Department of Biology, University of North Carolina at Greensboro, 321 McIver Street, Greensboro, NC, 27403, USA.
| | - Carolina G Santos
- Departamento de Biologia Celular e Molecular e Bioagentes Patogênicos, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 14040-900, Ribeirão Preto, Brazil.
| | - Regula Schmid-Hempel
- Experimental Ecology, Institute of Integrative Biology, Eidgenössiche Technische Hochschule (ETH) Zürich, CH-8092, Zürich, Switzerland.
| | - Björn D Schmitt
- Institute of Evolutionary Genetics, Heinrich Heine University Duesseldorf, Universitaetsstrasse 1, 40225, Duesseldorf, Germany.
| | - Christina Schulte
- Institute of Evolutionary Genetics, Heinrich Heine University Duesseldorf, Universitaetsstrasse 1, 40225, Duesseldorf, Germany.
| | - Zilá L P Simões
- Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 14040-901, Ribeirão Preto, Brazil.
| | - Michelle P M Soares
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 14040-900, Ribeirão Preto, Brazil.
| | - Luc Swevers
- Institute of Biosciences & Applications, National Center for Scientific Research Demokritos, Athens, Greece.
| | | | - Florian Wolschin
- School of Life Sciences, Arizona State University, Tempe, AZ, 85287, USA. .,Department of Chemistry, Biotechnology and Food Science, Norwegian University of Food Science, N-1432, Aas, Norway.
| | - Na Yu
- Laboratory of Agrozoology, Department of Crop Protection, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
| | - Evgeny M Zdobnov
- Department of Genetic Medicine and Development, University of Geneva Medical School, rue Michel-Servet 1, 1211, Geneva, Switzerland. .,Swiss Institute of Bioinformatics, rue Michel-Servet 1, 1211, Geneva, Switzerland.
| | - Peshtewani K Aqrawi
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Kerstin P Blankenburg
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Marcus Coyle
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Liezl Francisco
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Alvaro G Hernandez
- Roy J. Carver Biotechnology Center, University of Illinois Urbana-Champaign, Urbana, IL, USA.
| | - Michael Holder
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Matthew E Hudson
- Department of Crop Sciences and Institute of Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
| | - LaRonda Jackson
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Joy Jayaseelan
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Vandita Joshi
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Christie Kovar
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Sandra L Lee
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Robert Mata
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Tittu Mathew
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Irene F Newsham
- Molecular Genetic Technology Program, School of Health Professions, MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 2, Houston, TX, 77025, USA.
| | - Robin Ngo
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Geoffrey Okwuonu
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Christopher Pham
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Ling-Ling Pu
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Nehad Saada
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Jireh Santibanez
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - DeNard Simmons
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Rebecca Thornton
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Aarti Venkat
- Department of Human Genetics, University of Chicago, Chicago, IL, USA.
| | - Kimberly K O Walden
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
| | - Yuan-Qing Wu
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Griet Debyser
- Laboratory of Protein Biochemistry and Biomolecular Engineering, Department of Biochemistry and Microbiology, Ghent University, K.L. Ledeganckstraat 35, 9000, Ghent, Belgium.
| | - Bart Devreese
- Laboratory of Protein Biochemistry and Biomolecular Engineering, Department of Biochemistry and Microbiology, Ghent University, K.L. Ledeganckstraat 35, 9000, Ghent, Belgium.
| | - Claire Asher
- Institute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY, UK.
| | - Julie Blommaert
- Laboratory for Evolution and Development, Genetics Otago and the National Research Centre for Growth and Development, Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand.
| | - Ariel D Chipman
- Department of Ecology, Evolution, and Behavior, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Lars Chittka
- Department of Biological and Experimental Psychology, School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
| | - Bertrand Fouks
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany. .,Department of Biology, University of North Carolina at Greensboro, 321 McIver Street, Greensboro, NC, 27403, USA.
| | - Jisheng Liu
- Laboratory of Agrozoology, Department of Crop Protection, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium. .,School of Life Sciences, Guangzhou University, Guangzhou, China.
| | - Meaghan P O'Neill
- Laboratory for Evolution and Development, Genetics Otago and the National Research Centre for Growth and Development, Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, 9054, New Zealand.
| | - Seirian Sumner
- School of Biological Sciences, University of Bristol, 24 Tyndall Avenue, Bristol, BS8 1TQ, UK.
| | - Daniela Puiu
- Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, 21205, USA.
| | - Jiaxin Qu
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Steven L Salzberg
- Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, 21205, USA.
| | - Steven E Scherer
- School of Life Sciences, Guangzhou University, Guangzhou, China.
| | - Donna M Muzny
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Stephen Richards
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Gene E Robinson
- Carl R. Woese Institute for Genomic Biology, Department of Entomology, Neuroscience Program, University of Illinois at Urbana-Champaign, 1206 West Gregory Drive, Urbana, IL, 61801, USA.
| | - Richard A Gibbs
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Paul Schmid-Hempel
- Experimental Ecology, Institute of Integrative Biology, Eidgenössiche Technische Hochschule (ETH) Zürich, CH-8092, Zürich, Switzerland.
| | - Kim C Worley
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, MS BCM226, One Baylor Plaza, Houston, TX, 77030, USA.
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166
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Harvey MG, Judy CD, Seeholzer GF, Maley JM, Graves GR, Brumfield RT. Similarity thresholds used in DNA sequence assembly from short reads can reduce the comparability of population histories across species. PeerJ 2015; 3:e895. [PMID: 25922792 PMCID: PMC4411482 DOI: 10.7717/peerj.895] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2015] [Accepted: 03/27/2015] [Indexed: 01/19/2023] Open
Abstract
Comparing inferences among datasets generated using short read sequencing may provide insight into the concerted impacts of divergence, gene flow and selection across organisms, but comparisons are complicated by biases introduced during dataset assembly. Sequence similarity thresholds allow the de novo assembly of short reads into clusters of alleles representing different loci, but the resulting datasets are sensitive to both the similarity threshold used and to the variation naturally present in the organism under study. Thresholds that require high sequence similarity among reads for assembly (stringent thresholds) as well as highly variable species may result in datasets in which divergent alleles are lost or divided into separate loci ('over-splitting'), whereas liberal thresholds increase the risk of paralogous loci being combined into a single locus ('under-splitting'). Comparisons among datasets or species are therefore potentially biased if different similarity thresholds are applied or if the species differ in levels of within-lineage genetic variation. We examine the impact of a range of similarity thresholds on assembly of empirical short read datasets from populations of four different non-model bird lineages (species or species pairs) with different levels of genetic divergence. We find that, in all species, stringent similarity thresholds result in fewer alleles per locus than more liberal thresholds, which appears to be the result of high levels of over-splitting. The frequency of putative under-splitting, conversely, is low at all thresholds. Inferred genetic distances between individuals, gene tree depths, and estimates of the ancestral mutation-scaled effective population size (θ) differ depending upon the similarity threshold applied. Relative differences in inferences across species differ even when the same threshold is applied, but may be dramatically different when datasets assembled under different thresholds are compared. These differences not only complicate comparisons across species, but also preclude the application of standard mutation rates for parameter calibration. We suggest some best practices for assembling short read data to maximize comparability, such as using more liberal thresholds and examining the impact of different thresholds on each dataset.
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Affiliation(s)
- Michael G. Harvey
- Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Caroline Duffie Judy
- Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
- Department of Vertebrate Zoology, MRC-116, National Museum of Natural History, Smithsonian Institution, Washington, D.C., USA
| | - Glenn F. Seeholzer
- Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - James M. Maley
- Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
- Moore Laboratory of Zoology, Occidental College, Los Angeles, CA, USA
| | - Gary R. Graves
- Department of Vertebrate Zoology, MRC-116, National Museum of Natural History, Smithsonian Institution, Washington, D.C., USA
- Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Copenhagen Ø, Denmark
| | - Robb T. Brumfield
- Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
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167
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Wang Y, Ning Z, Hu Y, Chen J, Zhao R, Chen H, Ai N, Guo W, Zhang T. Molecular Mapping of Restriction-Site Associated DNA Markers In Allotetraploid Upland Cotton. PLoS One 2015; 10:e0124781. [PMID: 25894395 PMCID: PMC4403916 DOI: 10.1371/journal.pone.0124781] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Accepted: 03/03/2015] [Indexed: 12/12/2022] Open
Abstract
Upland cotton (Gossypium hirsutum L., 2n = 52, AADD) is an allotetraploid, therefore the discovery of single nucleotide polymorphism (SNP) markers is difficult. The recent emergence of genome complexity reduction technologies based on the next-generation sequencing (NGS) platform has greatly expedited SNP discovery in crops with highly repetitive and complex genomes. Here we applied restriction-site associated DNA (RAD) sequencing technology for de novo SNP discovery in allotetraploid cotton. We identified 21,109 SNPs between the two parents and used these for genotyping of 161 recombinant inbred lines (RILs). Finally, a high dense linkage map comprising 4,153 loci over 3500-cM was developed based on the previous result. Using this map quantitative trait locus (QTLs) conferring fiber strength and Verticillium Wilt (VW) resistance were mapped to a more accurate region in comparison to the 1576-cM interval determined using the simple sequence repeat (SSR) genetic map. This suggests that the newly constructed map has more power and resolution than the previous SSR map. It will pave the way for the rapid identification of the marker-assisted selection in cotton breeding and cloning of QTL of interest traits.
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Affiliation(s)
- Yangkun Wang
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing 210095, China
| | - Zhiyuan Ning
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing 210095, China
| | - Yan Hu
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing 210095, China
| | - Jiedan Chen
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing 210095, China
| | - Rui Zhao
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing 210095, China
| | - Hong Chen
- Cotton Research Institute, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, Xinjiang, China
| | - Nijiang Ai
- Shihezi Agricultural Sci & Tec Research Center, Shihezi 832000, Xinjiang, China
| | - Wangzhen Guo
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing 210095, China
| | - Tianzhen Zhang
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing 210095, China
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168
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Recknagel H, Jacobs A, Herzyk P, Elmer KR. Double-digest RAD sequencing using Ion Proton semiconductor platform (ddRADseq-ion) with nonmodel organisms. Mol Ecol Resour 2015; 15:1316-29. [DOI: 10.1111/1755-0998.12406] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Revised: 03/10/2015] [Accepted: 03/16/2015] [Indexed: 11/30/2022]
Affiliation(s)
- Hans Recknagel
- Institute of Biodiversity, Animal Health & Comparative Medicine; College of Medical, Veterinary & Life Sciences; University of Glasgow; Glasgow G12 8QQ UK
| | - Arne Jacobs
- Institute of Biodiversity, Animal Health & Comparative Medicine; College of Medical, Veterinary & Life Sciences; University of Glasgow; Glasgow G12 8QQ UK
| | - Pawel Herzyk
- Glasgow Polyomics; Wolfson Wohl Cancer Research Centre; University of Glasgow; Garscube Campus Bearsden G61 1QH UK
- Institute of Molecular, Cell & Systems Biology; College of Medical, Veterinary & Life Sciences; University of Glasgow; Glasgow G12 8QQ UK
| | - Kathryn R. Elmer
- Institute of Biodiversity, Animal Health & Comparative Medicine; College of Medical, Veterinary & Life Sciences; University of Glasgow; Glasgow G12 8QQ UK
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169
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Tian S, Lei SQ, Hu W, Deng LL, Li B, Meng QL, Soltis DE, Soltis PS, Fan DM, Zhang ZY. Repeated range expansions and inter-/postglacial recolonization routes of Sargentodoxa cuneata (Oliv.) Rehd. et Wils. (Lardizabalaceae) in subtropical China revealed by chloroplast phylogeography. Mol Phylogenet Evol 2015; 85:238-46. [DOI: 10.1016/j.ympev.2015.02.016] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Revised: 02/15/2015] [Accepted: 02/18/2015] [Indexed: 11/24/2022]
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170
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Pukk L, Ahmad F, Hasan S, Kisand V, Gross R, Vasemägi A. Less is more: extreme genome complexity reduction with ddRAD using Ion Torrent semiconductor technology. Mol Ecol Resour 2015; 15:1145-52. [PMID: 25703535 DOI: 10.1111/1755-0998.12392] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2014] [Revised: 02/09/2015] [Accepted: 02/13/2015] [Indexed: 12/17/2022]
Abstract
Massively parallel sequencing a small proportion of the whole genome at high coverage enables answering a wide range of questions from molecular evolution and evolutionary biology to animal and plant breeding and forensics. In this study, we describe the development of restriction-site associated DNA (RAD) sequencing approach for Ion Torrent PGM platform. Our protocol results in extreme genome complexity reduction using two rare-cutting restriction enzymes and strict size selection of the library allowing sequencing of a relatively small number of genomic fragments with high sequencing depth. We applied this approach to a common freshwater fish species, the Eurasian perch (Perca fluviatilis L.), and generated over 2.2 MB of novel sequence data consisting of ~17,000 contigs, identified 1259 single nucleotide polymorphisms (SNPs). We also estimated genetic differentiation between the DNA pools from freshwater (Lake Peipus) and brackish water (the Baltic Sea) populations and identified SNPs with the strongest signal of differentiation that could be used for robust individual assignment in the future. This work represents an important step towards developing genomic resources and genetic tools for the Eurasian perch. We expect that our ddRAD sequencing protocol for semiconductor sequencing technology will be useful alternative for currently available RAD protocols.
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Affiliation(s)
- Lilian Pukk
- Department of Aquaculture, Estonian University of Life Sciences, Tartu, 51006, Estonia
| | - Freed Ahmad
- Department of Information Technology, University of Turku, Turku, 20014, Finland
| | - Shihab Hasan
- Bioinformatics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Qld, Australia.,School of Medicine, The University of Queensland (UQ), Brisbane, Qld, 4006, Australia
| | - Veljo Kisand
- Institute of Technology, University of Tartu, Tartu, 50411, Estonia
| | - Riho Gross
- Department of Aquaculture, Estonian University of Life Sciences, Tartu, 51006, Estonia
| | - Anti Vasemägi
- Department of Biology, University of Turku, Turku, 20520, Finland
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171
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Garrick RC, Bonatelli IAS, Hyseni C, Morales A, Pelletier TA, Perez MF, Rice E, Satler JD, Symula RE, Thomé MTC, Carstens BC. The evolution of phylogeographic data sets. Mol Ecol 2015; 24:1164-71. [DOI: 10.1111/mec.13108] [Citation(s) in RCA: 98] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Revised: 01/21/2015] [Accepted: 02/04/2015] [Indexed: 12/20/2022]
Affiliation(s)
- Ryan C. Garrick
- Department of Biology; University of Mississippi; Oxford MS 38677 USA
| | - Isabel A. S. Bonatelli
- Departamento de Biologia; Universidade Federal de São Carlos; Campus Sorocaba Caixa Postal 18052780 Sorocaba São Paulo Brazil
| | - Chaz Hyseni
- Department of Biology; University of Mississippi; Oxford MS 38677 USA
| | - Ariadna Morales
- Department of Evolution, Ecology and Organismal Biology; The Ohio State University; 318 W. 12th Avenue Columbus OH 43210-1293 USA
| | - Tara A. Pelletier
- Department of Evolution, Ecology and Organismal Biology; The Ohio State University; 318 W. 12th Avenue Columbus OH 43210-1293 USA
| | - Manolo F. Perez
- Departamento de Biologia; Universidade Federal de São Carlos; Campus Sorocaba Caixa Postal 18052780 Sorocaba São Paulo Brazil
| | - Edwin Rice
- Department of Evolution, Ecology and Organismal Biology; The Ohio State University; 318 W. 12th Avenue Columbus OH 43210-1293 USA
| | - Jordan D. Satler
- Department of Evolution, Ecology and Organismal Biology; The Ohio State University; 318 W. 12th Avenue Columbus OH 43210-1293 USA
| | - Rebecca E. Symula
- Department of Biology; University of Mississippi; Oxford MS 38677 USA
| | - Maria Tereza C. Thomé
- Departamento de Zoologia; Instituto de Biociências; UNESP - Univ Estadual Paulista; Campus Rio Claro Caixa Postal 19913506-900 Rio Claro São Paulo Brazil
| | - Bryan C. Carstens
- Department of Evolution, Ecology and Organismal Biology; The Ohio State University; 318 W. 12th Avenue Columbus OH 43210-1293 USA
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172
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Blair C, Campbell CR, Yoder AD. Assessing the utility of whole genome amplified DNA for next-generation molecular ecology. Mol Ecol Resour 2015; 15:1079-90. [PMID: 25619406 DOI: 10.1111/1755-0998.12376] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2014] [Revised: 01/16/2015] [Accepted: 01/19/2015] [Indexed: 01/23/2023]
Abstract
DNA quantity can be a hindrance in ecological and evolutionary research programmes due to a range of factors including endangered status of target organisms, available tissue type, and the impact of field conditions on preservation methods. A potential solution to low-quantity DNA lies in whole genome amplification (WGA) techniques that can substantially increase DNA yield. To date, few studies have rigorously examined sequence bias that might result from WGA and next-generation sequencing of nonmodel taxa. To address this knowledge deficit, we use multiple displacement amplification (MDA) and double-digest RAD sequencing on the grey mouse lemur (Microcebus murinus) to quantify bias in genome coverage and SNP calls when compared to raw genomic DNA (gDNA). We focus our efforts in providing baseline estimates of potential bias by following manufacturer's recommendations for starting DNA quantities (>100 ng). Our results are strongly suggestive that MDA enrichment does not introduce systematic bias to genome characterization. SNP calling between samples when genotyping both de-novo and with a reference genome are highly congruent (>98%) when specifying a minimum threshold of 20X stack depth to call genotypes. Relative genome coverage is also similar between MDA and gDNA, and allelic dropout is not observed. SNP concordance varies based on coverage threshold, with 95% concordance reached at ~12X coverage genotyping de-novo and ~7X coverage genotyping with the reference genome. These results suggest that MDA may be a suitable solution for next-generation molecular ecological studies when DNA quantity would otherwise be a limiting factor.
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Affiliation(s)
- Christopher Blair
- Department of Biology, Duke University, Box 90338, BioSci 130 Science Drive, Durham, NC, 27708, USA
| | - C Ryan Campbell
- Department of Biology, Duke University, Box 90338, BioSci 130 Science Drive, Durham, NC, 27708, USA
| | - Anne D Yoder
- Department of Biology, Duke University, Box 90338, BioSci 130 Science Drive, Durham, NC, 27708, USA
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173
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Leaché AD, Chavez AS, Jones LN, Grummer JA, Gottscho AD, Linkem CW. Phylogenomics of phrynosomatid lizards: conflicting signals from sequence capture versus restriction site associated DNA sequencing. Genome Biol Evol 2015; 7:706-19. [PMID: 25663487 PMCID: PMC5322549 DOI: 10.1093/gbe/evv026] [Citation(s) in RCA: 117] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2015] [Indexed: 12/30/2022] Open
Abstract
Sequence capture and restriction site associated DNA sequencing (RADseq) are popular methods for obtaining large numbers of loci for phylogenetic analysis. These methods are typically used to collect data at different evolutionary timescales; sequence capture is primarily used for obtaining conserved loci, whereas RADseq is designed for discovering single nucleotide polymorphisms (SNPs) suitable for population genetic or phylogeographic analyses. Phylogenetic questions that span both "recent" and "deep" timescales could benefit from either type of data, but studies that directly compare the two approaches are lacking. We compared phylogenies estimated from sequence capture and double digest RADseq (ddRADseq) data for North American phrynosomatid lizards, a species-rich and diverse group containing nine genera that began diversifying approximately 55 Ma. Sequence capture resulted in 584 loci that provided a consistent and strong phylogeny using concatenation and species tree inference. However, the phylogeny estimated from the ddRADseq data was sensitive to the bioinformatics steps used for determining homology, detecting paralogs, and filtering missing data. The topological conflicts among the SNP trees were not restricted to any particular timescale, but instead were associated with short internal branches. Species tree analysis of the largest SNP assembly, which also included the most missing data, supported a topology that matched the sequence capture tree. This preferred phylogeny provides strong support for the paraphyly of the earless lizard genera Holbrookia and Cophosaurus, suggesting that the earless morphology either evolved twice or evolved once and was subsequently lost in Callisaurus.
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Affiliation(s)
- Adam D Leaché
- Department of Biology, University of Washington Burke Museum of Natural History and Culture, Seattle, Washington
| | - Andreas S Chavez
- Department of Biology, University of Washington Burke Museum of Natural History and Culture, Seattle, Washington Present address: Museum of Vertebrate Zoology, University of California Berkeley, CA
| | - Leonard N Jones
- Department of Biology, University of Washington Burke Museum of Natural History and Culture, Seattle, Washington
| | - Jared A Grummer
- Department of Biology, University of Washington Burke Museum of Natural History and Culture, Seattle, Washington
| | - Andrew D Gottscho
- Department of Biology, San Diego State University Department of Biology, University of California Riverside
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174
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Macher JN, Rozenberg A, Pauls SU, Tollrian R, Wagner R, Leese F. Assessing the phylogeographic history of the montane caddisfly Thremma gallicum using mitochondrial and restriction-site-associated DNA (RAD) markers. Ecol Evol 2015; 5:648-62. [PMID: 25691988 PMCID: PMC4328769 DOI: 10.1002/ece3.1366] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2014] [Accepted: 11/17/2014] [Indexed: 12/24/2022] Open
Abstract
Repeated Quaternary glaciations have significantly shaped the present distribution and diversity of several European species in aquatic and terrestrial habitats. To study the phylogeography of freshwater invertebrates, patterns of intraspecific variation have been examined primarily using mitochondrial DNA markers that may yield results unrepresentative of the true species history. Here, population genetic parameters were inferred for a montane aquatic caddisfly, Thremma gallicum, by sequencing a 658-bp fragment of the mitochondrial CO1 gene, and 12,514 nuclear RAD loci. T. gallicum has a highly disjunct distribution in southern and central Europe, with known populations in the Cantabrian Mountains, Pyrenees, Massif Central, and Black Forest. Both datasets represented rangewide sampling of T. gallicum. For the CO1 dataset, this included 352 specimens from 26 populations, and for the RAD dataset, 17 specimens from eight populations. We tested 20 competing phylogeographic scenarios using approximate Bayesian computation (ABC) and estimated genetic diversity patterns. Support for phylogeographic scenarios and diversity estimates differed between datasets with the RAD data favouring a southern origin of extant populations and indicating the Cantabrian Mountains and Massif Central populations to represent highly diverse populations as compared with the Pyrenees and Black Forest populations. The CO1 data supported a vicariance scenario (north-south) and yielded inconsistent diversity estimates. Permutation tests suggest that a few hundred polymorphic RAD SNPs are necessary for reliable parameter estimates. Our results highlight the potential of RAD and ABC-based hypothesis testing to complement phylogeographic studies on non-model species.
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Affiliation(s)
- Jan-Niklas Macher
- Department of Animal Ecology, Evolution and Biodiversity, Ruhr University BochumUniversitätsstraße 150, 44801, Bochum, Germany
| | - Andrey Rozenberg
- Department of Animal Ecology, Evolution and Biodiversity, Ruhr University BochumUniversitätsstraße 150, 44801, Bochum, Germany
| | - Steffen U Pauls
- Biodiversity and Climate Research Centre (BiK-F)Senckenberganlage 25, 60325, Frankfurt am Main, Germany
- Senckenberg Gesellschaft für NaturforschungSenckenberganlage 25, 60325, Frankfurt am Main, Germany
| | - Ralph Tollrian
- Department of Animal Ecology, Evolution and Biodiversity, Ruhr University BochumUniversitätsstraße 150, 44801, Bochum, Germany
| | - Rüdiger Wagner
- Working Group Limnology, University of KasselHeinrich-Plett-Straße 30, 34132, Kassel, Germany
- Max Planck Institute for Evolutionary BiologyAugust-Thienemann-Straße 2, 24306, Plön, Germany
| | - Florian Leese
- Department of Animal Ecology, Evolution and Biodiversity, Ruhr University BochumUniversitätsstraße 150, 44801, Bochum, Germany
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175
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McCluskey BM, Postlethwait JH. Phylogeny of zebrafish, a "model species," within Danio, a "model genus". Mol Biol Evol 2014; 32:635-52. [PMID: 25415969 DOI: 10.1093/molbev/msu325] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Zebrafish (Danio rerio) is an important model for vertebrate development, genomics, physiology, behavior, toxicology, and disease. Additionally, work on numerous Danio species is elucidating evolutionary mechanisms for morphological development. Yet, the relationships of zebrafish and its closest relatives remain unclear possibly due to incomplete lineage sorting, speciation with gene flow, and interspecies hybridization. To clarify these relationships, we first constructed phylogenomic data sets from 30,801 restriction-associated DNA (RAD)-tag loci (483,026 variable positions) with clear orthology to a single location in the sequenced zebrafish genome. We then inferred a well-supported species tree for Danio and tested for gene flow during the diversification of the genus. An approach independent of the sequenced zebrafish genome verified all inferred relationships. Although identification of the sister taxon to zebrafish has been contentious, multiple RAD-tag data sets and several analytical methods provided strong evidence for Danio aesculapii as the most closely related extant zebrafish relative studied to date. Data also displayed patterns consistent with gene flow during speciation and postspeciation introgression in the lineage leading to zebrafish. The incorporation of biogeographic data with phylogenomic analyses put these relationships in a phylogeographic context and supplied additional support for D. aesculapii as the sister species to D. rerio. The clear resolution of this study establishes a framework for investigating the evolutionary biology of Danio and the heterogeneity of genome evolution in the recent history of a model organism within an emerging model genus for genetics, development, and evolution.
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176
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Pan J, Wang B, Pei ZY, Zhao W, Gao J, Mao JF, Wang XR. Optimization of the genotyping-by-sequencing strategy for population genomic analysis in conifers. Mol Ecol Resour 2014; 15:711-22. [DOI: 10.1111/1755-0998.12342] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Revised: 10/28/2014] [Accepted: 10/29/2014] [Indexed: 12/30/2022]
Affiliation(s)
- Jin Pan
- Department of Ecology and Environmental Science; Umeå University; Umeå SE-90187 Sweden
- State Key Laboratory of Systematic and Evolutionary Botany; Institute of Botany; Chinese Academy of Sciences; Beijing 100093 China
| | - Baosheng Wang
- Department of Ecology and Environmental Science; Umeå University; Umeå SE-90187 Sweden
| | - Zhi-Yong Pei
- Beijing Computing Centre; Beijing 100094 China
- Beijing Institute of Genomics; Chinese Academy of Sciences; Beijing 100101 China
| | - Wei Zhao
- State Key Laboratory of Systematic and Evolutionary Botany; Institute of Botany; Chinese Academy of Sciences; Beijing 100093 China
| | - Jie Gao
- Key Laboratory of Tropical Forest Ecology; Xishuangbanna Tropical Botanical Garden; Chinese Academy of Sciences; Menglun Yunnan 666303 China
| | - Jian-Feng Mao
- National Engineering Laboratory for Forest Tree Breeding; Key Laboratory for Genetics and Breeding of Forest Trees and Ornamental Plants of Ministry of Education; Beijing Forestry University; Beijing 100083 China
| | - Xiao-Ru Wang
- Department of Ecology and Environmental Science; Umeå University; Umeå SE-90187 Sweden
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177
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Mesak F, Tatarenkov A, Earley RL, Avise JC. Hundreds of SNPs vs. dozens of SSRs: which dataset better characterizes natural clonal lineages in a self-fertilizing fish? Front Ecol Evol 2014. [DOI: 10.3389/fevo.2014.00074] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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178
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Takahashi T, Nagata N, Sota T. Application of RAD-based phylogenetics to complex relationships among variously related taxa in a species flock. Mol Phylogenet Evol 2014; 80:137-44. [DOI: 10.1016/j.ympev.2014.07.016] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2014] [Revised: 06/30/2014] [Accepted: 07/24/2014] [Indexed: 11/17/2022]
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179
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Rong J, Lammers Y, Strasburg JL, Schidlo NS, Ariyurek Y, de Jong TJ, Klinkhamer PGL, Smulders MJM, Vrieling K. New insights into domestication of carrot from root transcriptome analyses. BMC Genomics 2014; 15:895. [PMID: 25311557 PMCID: PMC4213543 DOI: 10.1186/1471-2164-15-895] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Accepted: 10/07/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Understanding the molecular basis of domestication can provide insights into the processes of rapid evolution and crop improvement. Here we demonstrated the processes of carrot domestication and identified genes under selection based on transcriptome analyses. RESULTS The root transcriptomes of widely differing cultivated and wild carrots were sequenced. A method accounting for sequencing errors was introduced to optimize SNP (single nucleotide polymorphism) discovery. 11,369 SNPs were identified. Of these, 622 (out of 1000 tested SNPs) were validated and used to genotype a large set of cultivated carrot, wild carrot and other wild Daucus carota subspecies, primarily of European origin. Phylogenetic analysis indicated that eastern carrot may originate from Western Asia and western carrot may be selected from eastern carrot. Different wild D. carota subspecies may have contributed to the domestication of cultivated carrot. Genetic diversity was significantly reduced in western cultivars, probably through bottlenecks and selection. However, a high proportion of genetic diversity (more than 85% of the genetic diversity in wild populations) is currently retained in western cultivars. Model simulation indicated high and asymmetric gene flow from wild to cultivated carrots, spontaneously and/or by introgression breeding. Nevertheless, high genetic differentiation exists between cultivated and wild carrots (Fst = 0.295) showing the strong effects of selection. Expression patterns differed radically for some genes between cultivated and wild carrot roots which may be related to changes in root traits. The up-regulation of water-channel-protein gene expression in cultivars might be involved in changing water content and transport in roots. The activated expression of carotenoid-binding-protein genes in cultivars could be related to the high carotenoid accumulation in roots. The silencing of allergen-protein-like genes in cultivated carrot roots suggested strong human selection to reduce allergy. These results suggest that regulatory changes of gene expressions may have played a predominant role in domestication. CONCLUSIONS Western carrots may originate from eastern carrots. The reduction in genetic diversity in western cultivars due to domestication bottleneck/selection may have been offset by introgression from wild carrot. Differential gene expression patterns between cultivated and wild carrot roots may be a signature of strong selection for favorable cultivation traits.
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Affiliation(s)
- Jun Rong
- Plant Ecology and Phytochemistry, Institute of Biology Leiden, Leiden University, PO Box 9505, Leiden 2300RA, The Netherlands.
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180
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Escudero M, Eaton DA, Hahn M, Hipp AL. Genotyping-by-sequencing as a tool to infer phylogeny and ancestral hybridization: A case study in Carex (Cyperaceae). Mol Phylogenet Evol 2014; 79:359-67. [DOI: 10.1016/j.ympev.2014.06.026] [Citation(s) in RCA: 87] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2014] [Revised: 06/19/2014] [Accepted: 06/30/2014] [Indexed: 11/27/2022]
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181
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Schweyen H, Rozenberg A, Leese F. Detection and removal of PCR duplicates in population genomic ddRAD studies by addition of a degenerate base region (DBR) in sequencing adapters. THE BIOLOGICAL BULLETIN 2014; 227:146-60. [PMID: 25411373 DOI: 10.1086/bblv227n2p146] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Restriction-site associated DNA sequencing (RAD) has emerged as a powerful marker system for studying genome-wide DNA polymorphisms using next-generation sequencing. A recent technical facilitation of RAD is double-digest RAD (ddRAD), which utilizes two restriction enzymes for library preparation. The more flexible and balanced ddRAD allows analysis of genomic loci in hundreds of individuals. However, in contrast to paired-end sequencing of traditional RAD libraries, PCR duplicates cannot be detected with ddRAD. This is a concern because duplicates can contribute substantially to read coverage data and erroneously inflate the proportion of homozygous loci (allele dropout). Allele dropout can bias population genetic parameter inference and complicate the detection of outlier loci under selection. Here we outline a simple and straightforward approach to detecting PCR duplicates from ddRAD libraries. Our approach introduces a degenerate base region (DBR, 12,288 unique combinations) in the sequencing adapter. We demonstrate the high efficiency and low rate of false positives in simulations. In addition, a pilot study was performed to test this approach on six aquatic invertebrates, sequenced on a HiSeq 2500 sequencer. The reads of the ddRAD libraries consisted of 33.48% PCR duplicates distributed on 19.40% of the loci. A disproportionate number of PCR duplicates were detected in only 4.66% of the loci. While this should not be a concern for general parameter inference, outlier loci detection in particular would be improved by the DBR technique. Given the easy and straightforward application of the technique in other RAD protocols as well, we suggest that DBR regions should generally be included in PCR-based RAD studies.
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Affiliation(s)
- Hannah Schweyen
- Ruhr University Bochum, Department of Animal Ecology, Evolution and Biodiversity, Universitaetsstrasse 150, D-44801 Bochum, Germany
| | - Andrey Rozenberg
- Ruhr University Bochum, Department of Animal Ecology, Evolution and Biodiversity, Universitaetsstrasse 150, D-44801 Bochum, Germany
| | - Florian Leese
- Ruhr University Bochum, Department of Animal Ecology, Evolution and Biodiversity, Universitaetsstrasse 150, D-44801 Bochum, Germany
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182
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Gavin DG, Fitzpatrick MC, Gugger PF, Heath KD, Rodríguez-Sánchez F, Dobrowski SZ, Hampe A, Hu FS, Ashcroft MB, Bartlein PJ, Blois JL, Carstens BC, Davis EB, de Lafontaine G, Edwards ME, Fernandez M, Henne PD, Herring EM, Holden ZA, Kong WS, Liu J, Magri D, Matzke NJ, McGlone MS, Saltré F, Stigall AL, Tsai YHE, Williams JW. Climate refugia: joint inference from fossil records, species distribution models and phylogeography. THE NEW PHYTOLOGIST 2014; 204:37-54. [PMID: 25039238 DOI: 10.1111/nph.12929] [Citation(s) in RCA: 128] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2014] [Accepted: 06/06/2014] [Indexed: 05/16/2023]
Abstract
Climate refugia, locations where taxa survive periods of regionally adverse climate, are thought to be critical for maintaining biodiversity through the glacial-interglacial climate changes of the Quaternary. A critical research need is to better integrate and reconcile the three major lines of evidence used to infer the existence of past refugia - fossil records, species distribution models and phylogeographic surveys - in order to characterize the complex spatiotemporal trajectories of species and populations in and out of refugia. Here we review the complementary strengths, limitations and new advances for these three approaches. We provide case studies to illustrate their combined application, and point the way towards new opportunities for synthesizing these disparate lines of evidence. Case studies with European beech, Qinghai spruce and Douglas-fir illustrate how the combination of these three approaches successfully resolves complex species histories not attainable from any one approach. Promising new statistical techniques can capitalize on the strengths of each method and provide a robust quantitative reconstruction of species history. Studying past refugia can help identify contemporary refugia and clarify their conservation significance, in particular by elucidating the fine-scale processes and the particular geographic locations that buffer species against rapidly changing climate.
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Affiliation(s)
- Daniel G Gavin
- Department of Geography, University of Oregon, Eugene, OR, 97403, USA
| | - Matthew C Fitzpatrick
- Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, 21532, USA
| | - Paul F Gugger
- Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095, USA
| | - Katy D Heath
- Department of Plant Biology, University of Illinois, Urbana, IL, 61801, USA
| | | | - Solomon Z Dobrowski
- Department of Forest Management, College of Forestry and Conservation, University of Montana, Missoula, MT, 59812, USA
| | - Arndt Hampe
- INRA, BIOGECO, UMR 1202, 33610, Cestas, France
- BIOGECO, UMR 1202, University of Bordeaux, 33400, Talence, France
| | - Feng Sheng Hu
- Department of Plant Biology, University of Illinois, Urbana, IL, 61801, USA
| | | | | | - Jessica L Blois
- School of Natural Sciences, University of California, Merced, CA, 95343, USA
| | - Bryan C Carstens
- Department of Evolution, Ecology & Organismal Biology, The Ohio State University, Columbus, OH, 43210, USA
| | - Edward B Davis
- Department of Geological Sciences, University of Oregon, Eugene, OR, 97403, USA
| | - Guillaume de Lafontaine
- Canada Research Chair in Forest and Environmental Genomics, Centre for Forest Research, Institute for Systems and Integrative Biology, Université Laval, Québec City, QC, G1V 0A6, Canada
| | - Mary E Edwards
- Geography and Environment, University of Southampton, Southampton, SO17 1BJ, UK
| | - Matias Fernandez
- Department of Plant Biology, University of Illinois, Urbana, IL, 61801, USA
| | - Paul D Henne
- Oeschger Centre for Climate Change Research, Institute of Plant Sciences, University of Bern, 3013, Bern, Switzerland
| | - Erin M Herring
- Department of Geography, University of Oregon, Eugene, OR, 97403, USA
| | | | - Woo-Seok Kong
- Department of Geography, Kyung Hee University, Seoul, 130-701, Korea
| | - Jianquan Liu
- College of Life Science, Lanzhou University, Lanzhou, 730000, China
| | - Donatella Magri
- Dipartimento di Biologia Ambientale, Sapienza University, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Nicholas J Matzke
- Department of Ecology and Evolutionary Biology, National Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, TN, 37996, USA
| | | | - Frédérik Saltré
- Environment Institute, School of Earth and Environmental Sciences, University of Adelaide, Adelaide, SA, 5005, Australia
| | - Alycia L Stigall
- Department of Geological Sciences, OHIO Center for Ecology and Evolutionary Studies, Ohio University, Athens, OH, 45701, USA
| | - Yi-Hsin Erica Tsai
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - John W Williams
- Department of Geography, Nelson Center for Climatic Research, University of Wisconsin, Madison, WI, 53706, USA
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183
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Davis DJ, Wieman AC, Berendzen PB. The influence of historical and contemporary landscape variables on the spatial genetic structure of the rainbow darter (Etheostoma caeruleum) in tributaries of the upper Mississippi River. CONSERV GENET 2014. [DOI: 10.1007/s10592-014-0649-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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184
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Panova M, Johansson T, Canbäck B, Bentzer J, Rosenblad MA, Johannesson K, Tunlid A, André C. Species and gene divergence in Littorina snails detected by array comparative genomic hybridization. BMC Genomics 2014; 15:687. [PMID: 25135785 PMCID: PMC4148934 DOI: 10.1186/1471-2164-15-687] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2014] [Accepted: 08/11/2014] [Indexed: 12/11/2022] Open
Abstract
Background Array comparative genomic hybridization (aCGH) is commonly used to screen different types of genetic variation in humans and model species. Here, we performed aCGH using an oligonucleotide gene-expression array for a non-model species, the intertidal snail Littorina saxatilis. First, we tested what types of genetic variation can be detected by this method using direct re-sequencing and comparison to the Littorina genome draft. Secondly, we performed a genome-wide comparison of four closely related Littorina species: L. fabalis, L. compressa, L. arcana and L. saxatilis and of populations of L. saxatilis found in Spain, Britain and Sweden. Finally, we tested whether we could identify genetic variation underlying “Crab” and “Wave” ecotypes of L. saxatilis. Results We could reliably detect copy number variations, deletions and high sequence divergence (i.e. above 3%), but not single nucleotide polymorphisms. The overall hybridization pattern and number of significantly diverged genes were in close agreement with earlier phylogenetic reconstructions based on single genes. The trichotomy of L. arcana, L. compressa and L. saxatilis could not be resolved and we argue that these divergence events have occurred recently and very close in time. We found evidence for high levels of segmental duplication in the Littorina genome (10% of the transcripts represented on the array and up to 23% of the analyzed genomic fragments); duplicated genes and regions were mostly the same in all analyzed species. Finally, this method discriminated geographically distant populations of L. saxatilis, but we did not detect any significant genome divergence associated with ecotypes of L. saxatilis. Conclusions The present study provides new information on the sensitivity and the potential use of oligonucleotide arrays for genotyping of non-model organisms. Applying this method to Littorina species yields insights into genome evolution following the recent species radiation and supports earlier single-gene based phylogenies. Genetic differentiation of L. saxatilis ecotypes was not detected in this study, despite pronounced innate phenotypic differences. The reason may be that these differences are due to single-nucleotide polymorphisms. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-687) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Marina Panova
- Department of Biological and Environmental Sciences - Tjärnö, Gothenburg University, Gothenburg, Sweden.
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185
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Next generation phylogeography of cave and surface Astyanax mexicanus. Mol Phylogenet Evol 2014; 79:368-74. [PMID: 25014568 DOI: 10.1016/j.ympev.2014.06.029] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2014] [Revised: 06/25/2014] [Accepted: 06/30/2014] [Indexed: 01/08/2023]
Abstract
The loss of traits is a commonly observed evolutionary pattern in cave organisms, but due to extensive morphological convergence, inferring relationships between cave and surface populations can be difficult. For instance, Astyanax mexicanus (the blind Mexican cavefish) is thought to have repeatedly lost its eyes following colonization of cave environments, but the number of evolutionarily independent invasions of this species into caves remains unclear. Because of these repeated losses, it has become a model organism for studying the genetic basis of phenotypic trait loss. Here we reconstruct a high-resolution phylogeography for A. mexicanus inferred from both mitochondrial DNA and several thousand single nucleotide polymorphisms. We provide novel insight into the origin of cave populations from the Sabinos and Río Subterráneo caves and present evidence that the Sabinos cave population is part of a unique cave lineage unrelated to other A. mexicanus cave populations. Our results indicate A. mexicanus cave populations have at least four independent origins.
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186
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Huang H, Knowles LL. Unforeseen Consequences of Excluding Missing Data from Next-Generation Sequences: Simulation Study of RAD Sequences. Syst Biol 2014; 65:357-65. [DOI: 10.1093/sysbio/syu046] [Citation(s) in RCA: 202] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2013] [Accepted: 06/22/2014] [Indexed: 11/13/2022] Open
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187
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Streicher JW, Devitt TJ, Goldberg CS, Malone JH, Blackmon H, Fujita MK. Diversification and asymmetrical gene flow across time and space: lineage sorting and hybridization in polytypic barking frogs. Mol Ecol 2014; 23:3273-91. [DOI: 10.1111/mec.12814] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2013] [Revised: 05/20/2014] [Accepted: 05/23/2014] [Indexed: 12/20/2022]
Affiliation(s)
- Jeffrey W. Streicher
- Department of Biology; The University of Texas at Arlington; Arlington TX 76010 USA
| | - Thomas J. Devitt
- Department of Integrative Biology; The University of Texas at Austin; Austin TX 78712 USA
| | - Caren S. Goldberg
- Fish and Wildlife Sciences; University of Idaho; Moscow ID 83844 USA
| | - John H. Malone
- Department of Molecular and Cell Biology; University of Connecticut; Storrs CT 06269 USA
| | - Heath Blackmon
- Department of Biology; The University of Texas at Arlington; Arlington TX 76010 USA
| | - Matthew K. Fujita
- Department of Biology; The University of Texas at Arlington; Arlington TX 76010 USA
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188
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Caruso NM, Sears MW, Adams DC, Lips KR. Widespread rapid reductions in body size of adult salamanders in response to climate change. GLOBAL CHANGE BIOLOGY 2014; 20:1751-1759. [PMID: 24664864 DOI: 10.1111/gcb.12550] [Citation(s) in RCA: 107] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2013] [Revised: 12/16/2013] [Accepted: 01/23/2014] [Indexed: 05/28/2023]
Abstract
Reduction in body size is a major response to climate change, yet evidence in globally imperiled amphibians is lacking. Shifts in average population body size could indicate either plasticity in the growth response to changing climates through changes in allocation and energetics, or through selection for decreased size where energy is limiting. We compared historic and contemporary size measurements in 15 Plethodon species from 102 populations (9450 individuals) and found that six species exhibited significant reductions in body size over 55 years. Biophysical models, accounting for actual changes in moisture and air temperature over that period, showed a 7.1-7.9% increase in metabolic expenditure at three latitudes but showed no change in annual duration of activity. Reduced size was greatest at southern latitudes in regions experiencing the greatest drying and warming. Our results are consistent with a plastic response of body size to climate change through reductions in body size as mediated through increased metabolism. These rapid reductions in body size over the past few decades have significance for the susceptibility of amphibians to environmental change, and relevance for whether adaptation can keep pace with climate change in the future.
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Affiliation(s)
- Nicholas M Caruso
- Department of Biology, University of Maryland, College Park, MD, 20742, USA; Department of Biological Sciences, University of Alabama, Tuscaloosa, AL, 35487, USA
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189
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Policy, phylogeny, and the parasite. Trends Parasitol 2014; 30:274-81. [DOI: 10.1016/j.pt.2014.04.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2014] [Revised: 03/31/2014] [Accepted: 04/02/2014] [Indexed: 11/20/2022]
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190
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Anderson EC, Skaug HJ, Barshis DJ. Next-generation sequencing for molecular ecology: a caveat regarding pooled samples. Mol Ecol 2014; 23:502-12. [PMID: 24304095 DOI: 10.1111/mec.12609] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2013] [Revised: 11/14/2013] [Accepted: 11/24/2013] [Indexed: 01/04/2023]
Abstract
We develop a model based on the Dirichlet-compound multinomial distribution (CMD) and Ewens sampling formula to predict the fraction of SNP loci that will appear fixed for alternate alleles between two pooled samples drawn from the same underlying population. We apply this model to next-generation sequencing (NGS) data from Baltic Sea herring recently published by (Corander et al., 2013, Molecular Ecology, 2931-2940), and show that there are many more fixed loci than expected in the absence of genetic structure. However, we show through coalescent simulations that the degree of population structure required to explain the fraction of alternatively fixed SNPs is extraordinarily high and that the surplus of fixed loci is more likely a consequence of limited representation of individual gene copies in the pooled samples, than it is of population structure. Our analysis signals that the use of NGS on pooled samples to identify divergent SNPs warrants caution. With pooled samples, it is hard to diagnose when an NGS experiment has gone awry; especially when NGS data on pooled samples are of low read depth with a limited number of individuals, it may be worthwhile to temper claims of unexpected population differentiation from pooled samples, pending verification with more reliable methods or stricter adherence to recommended sampling designs for pooled sequencing e.g. Futschik & Schlötterer 2010, Genetics, 186, 207; Gautier et al., 2013a, Molecular Ecology, 3766-3779). Analysis of the data and diagnosis of problems is easier and more reliable (and can be less costly) with individually barcoded samples. Consequently, for some scenarios, individual barcoding may be preferable to pooling of samples.
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Affiliation(s)
- Eric C Anderson
- Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, 110 Shaffer Road, Santa Cruz, CA, 95060, USA; Department of Applied Math and Statistics (SOE2), University of California, 1156 High Street, Santa Cruz, CA, 95064, USA
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191
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Wood DA, Fisher RN, Vandergast AG. Fuzzy boundaries: color and gene flow patterns among parapatric lineages of the western shovel-nosed snake and taxonomic implication. PLoS One 2014; 9:e97494. [PMID: 24848638 PMCID: PMC4029750 DOI: 10.1371/journal.pone.0097494] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2014] [Accepted: 04/16/2014] [Indexed: 11/23/2022] Open
Abstract
Accurate delineation of lineage diversity is increasingly important, as species distributions are becoming more reduced and threatened. During the last century, the subspecies category was often used to denote phenotypic variation within a species range and to provide a framework for understanding lineage differentiation, often considered incipient speciation. While this category has largely fallen into disuse, previously recognized subspecies often serve as important units for conservation policy and management when other information is lacking. In this study, we evaluated phenotypic subspecies hypotheses within shovel-nosed snakes on the basis of genetic data and considered how evolutionary processes such as gene flow influenced possible incongruence between phenotypic and genetic patterns. We used both traditional phylogenetic and Bayesian clustering analyses to infer range-wide genetic structure and spatially explicit analyses to detect possible boundary locations of lineage contact. Multilocus analyses supported three historically isolated groups with low to moderate levels of contemporary gene exchange. Genetic data did not support phenotypic subspecies as exclusive groups, and we detected patterns of discordance in areas where three subspecies are presumed to be in contact. Based on genetic and phenotypic evidence, we suggested that species-level diversity is underestimated in this group and we proposed that two species be recognized, Chionactis occipitalis and C. annulata. In addition, we recommend retention of two subspecific designations within C. annulata (C. a. annulata and C. a. klauberi) that reflect regional shifts in both genetic and phenotypic variation within the species. Our results highlight the difficultly in validating taxonomic boundaries within lineages that are evolving under a time-dependent, continuous process.
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Affiliation(s)
- Dustin A. Wood
- U.S. Geological Survey, Western Ecological Research Center, San Diego Field Station, San Diego, California, United States of America
| | - Robert N. Fisher
- U.S. Geological Survey, Western Ecological Research Center, San Diego Field Station, San Diego, California, United States of America
| | - Amy G. Vandergast
- U.S. Geological Survey, Western Ecological Research Center, San Diego Field Station, San Diego, California, United States of America
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192
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Zhang Q, Li L, VanBuren R, Liu Y, Yang M, Xu L, Bowers JE, Zhong C, Han Y, Li S, Ming R. Optimization of linkage mapping strategy and construction of a high-density American lotus linkage map. BMC Genomics 2014; 15:372. [PMID: 24885335 PMCID: PMC4045970 DOI: 10.1186/1471-2164-15-372] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2014] [Accepted: 05/08/2014] [Indexed: 01/22/2023] Open
Abstract
Background Lotus is a diploid plant with agricultural, medicinal, and ecological significance. Genetic linkage maps are fundamental resources for genome and genetic study, and also provide molecular markers for breeding in agriculturally important species. Genotyping by sequencing revolutionized genetic mapping, the restriction-site associated DNA sequencing (RADseq) allowed rapid discovery of thousands of SNPs markers, and a crucial aspect of the sequence based mapping strategy is the reference sequences used for marker identification. Results We assessed the effectiveness of linkage mapping using three types of references for scoring markers: the unmasked genome, repeat masked genome, and gene models. Overall, the repeat masked genome produced the optimal genetic maps. A high-density genetic map of American lotus was constructed using an F1 population derived from a cross between Nelumbo nucifera ‘China Antique’ and N. lutea ‘AL1’. A total of 4,098 RADseq markers were used to construct the American lotus ‘AL1’ genetic map, and 147 markers were used to construct the Chinese lotus ‘China Antique’ genetic map. The American lotus map has 9 linkage groups, and spans 494.3 cM, with an average distance of 0.7 cM between adjacent markers. The American lotus map was used to anchor scaffold sequences in the N. nucifera ‘China Antique’ draft genome. 3,603 RADseq markers anchored 234 individual scaffold sequences into 9 megascaffolds spanning 67% of the 804 Mb draft genome. Conclusions Among the unmasked genome, repeat masked genome and gene models, the optimal reference sequences to call RADseq markers for map construction is repeat masked genome. This high density genetic map is a valuable resource for genomic research and crop improvement in lotus.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Ray Ming
- Key Laborary of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, P,R, China.
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193
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Characterization of limes (Citrus aurantifolia) grown in Bhutan and Indonesia using high-throughput sequencing. Sci Rep 2014; 4:4853. [PMID: 24781859 PMCID: PMC5381282 DOI: 10.1038/srep04853] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2013] [Accepted: 04/14/2014] [Indexed: 11/15/2022] Open
Abstract
Lime [Citrus aurantifolia (Cristm.) Swingle] is a Citrus species that is a popular ingredient in many cuisines. Some citrus plants are known to originate in the area ranging from northeastern India to southwestern China. In the current study, we characterized and compared limes grown in Bhutan (n = 5 accessions) and Indonesia (n = 3 accessions). The limes were separated into two groups based on their morphology. Restriction site-associated DNA sequencing (RAD-seq) separated the eight accessions into two clusters. One cluster contained four accessions from Bhutan, whereas the other cluster contained one accession from Bhutan and the three accessions from Indonesia. This genetic classification supported the morphological classification of limes. The analysis suggests that the properties associated with asexual reproduction, and somatic homologous recombination, have contributed to the genetic diversification of limes.
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194
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Hipp AL, Eaton DAR, Cavender-Bares J, Fitzek E, Nipper R, Manos PS. A framework phylogeny of the American oak clade based on sequenced RAD data. PLoS One 2014; 9:e93975. [PMID: 24705617 PMCID: PMC3976371 DOI: 10.1371/journal.pone.0093975] [Citation(s) in RCA: 142] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2013] [Accepted: 03/05/2014] [Indexed: 11/19/2022] Open
Abstract
Previous phylogenetic studies in oaks (Quercus, Fagaceae) have failed to resolve the backbone topology of the genus with strong support. Here, we utilize next-generation sequencing of restriction-site associated DNA (RAD-Seq) to resolve a framework phylogeny of a predominantly American clade of oaks whose crown age is estimated at 23-33 million years old. Using a recently developed analytical pipeline for RAD-Seq phylogenetics, we created a concatenated matrix of 1.40 E06 aligned nucleotides, constituting 27,727 sequence clusters. RAD-Seq data were readily combined across runs, with no difference in phylogenetic placement between technical replicates, which overlapped by only 43-64% in locus coverage. 17% (4,715) of the loci we analyzed could be mapped with high confidence to one or more expressed sequence tags in NCBI Genbank. A concatenated matrix of the loci that BLAST to at least one EST sequence provides approximately half as many variable or parsimony-informative characters as equal-sized datasets from the non-EST loci. The EST-associated matrix is more complete (fewer missing loci) and has slightly lower homoplasy than non-EST subsampled matrices of the same size, but there is no difference in phylogenetic support or relative attribution of base substitutions to internal versus terminal branches of the phylogeny. We introduce a partitioned RAD visualization method (implemented in the R package RADami; http://cran.r-project.org/web/packages/RADami) to investigate the possibility that suboptimal topologies supported by large numbers of loci--due, for example, to reticulate evolution or lineage sorting--are masked by the globally optimal tree. We find no evidence for strongly-supported alternative topologies in our study, suggesting that the phylogeny we recover is a robust estimate of large-scale phylogenetic patterns in the American oak clade. Our study is one of the first to demonstrate the utility of RAD-Seq data for inferring phylogeny in a 23-33 million year-old clade.
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Affiliation(s)
- Andrew L. Hipp
- The Morton Arboretum, Lisle, Illinois, United States of America
- The Field Museum, Department of Botany, Chicago, Illinois, United States of America
- * E-mail:
| | - Deren A. R. Eaton
- The Field Museum, Department of Botany, Chicago, Illinois, United States of America
- University of Chicago, Committee on Evolutionary Biology, Chicago, Illinois, United States of America
| | - Jeannine Cavender-Bares
- University of Minnesota, College of Biological Sciences, Saint Paul, Minnesota, United States of America
| | | | - Rick Nipper
- Floragenex, Inc., Eugene, Oregon, United States of America
| | - Paul S. Manos
- Duke University, Department of Biology, Durham, North Carolina, United States of America
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195
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Chu ND, Kaluziak ST, Trussell GC, Vollmer SV. Phylogenomic analyses reveal latitudinal population structure and polymorphisms in heat stress genes in the North Atlantic snailNucella lapillus. Mol Ecol 2014; 23:1863-73. [DOI: 10.1111/mec.12681] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Revised: 01/21/2014] [Accepted: 01/22/2014] [Indexed: 12/19/2022]
Affiliation(s)
- Nathaniel D. Chu
- Ecology and Evolutionary Biology; Brown University; 80 Waterman St., Box G-W Providence RI 02912 USA
- Marine Science Center; Northeastern University; 430 Nahant Road Nahant MA 01908 USA
| | - Stefan T. Kaluziak
- Marine Science Center; Northeastern University; 430 Nahant Road Nahant MA 01908 USA
| | - Geoffrey C. Trussell
- Marine Science Center; Northeastern University; 430 Nahant Road Nahant MA 01908 USA
| | - Steven V. Vollmer
- Marine Science Center; Northeastern University; 430 Nahant Road Nahant MA 01908 USA
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196
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Wen J, Zhang JQ, Nie ZL, Zhong Y, Sun H. Evolutionary diversifications of plants on the Qinghai-Tibetan Plateau. Front Genet 2014; 5:4. [PMID: 24575120 PMCID: PMC3921583 DOI: 10.3389/fgene.2014.00004] [Citation(s) in RCA: 227] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2013] [Accepted: 01/06/2014] [Indexed: 11/13/2022] Open
Abstract
The Qinghai-Tibetan Plateau (QTP) is the highest and one of the most extensive plateaus in the world. Phylogenetic, phylogeographic, and ecological studies support plant diversifications on the QTP through multiple mechanisms such as allopatric speciation via geographic isolation, climatic oscillations and divergences, pollinator-mediated isolation, diploid hybridization and introgression, and allopolyploidy. These mechanisms have driven spectacular radiations and/or species diversifications in various groups of plants such as Pedicularis L., Saussurea DC., Rhododendron L., Primula L., Meconopsis Vig., Rhodiola L., and many lineages of gymnosperms. Nevertheless, much work is needed toward understanding the evolutionary mechanisms of plant diversifications on the QTP. Well-sampled biogeographic analyses of the QTP plants in the broad framework of the Northern Hemisphere as well as the Southern Hemisphere are still relatively few and should be encouraged in the next decade. This paper reviews recent evidence from phylogenetic and biogeographic studies in plants, in the context of rapid radiations, mechanisms of species diversifications on the QTP, and the biogeographic significance of the QTP in the broader context of both the Northern and Southern Hemisphere biogeography. Integrative multidimensional analyses of phylogeny, morphological innovations, geography, ecology, development, species interactions and diversifications, and geology are needed and should shed insights into the patterns of evolutionary assembly and radiations in this fascinating region.
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Affiliation(s)
- Jun Wen
- Department of Botany, National Museum of Natural History, MRC 166, Smithsonian Institution Washington, DC, USA
| | | | - Ze-Long Nie
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences Kunming, China
| | - Yang Zhong
- Institute of Biodiversity Science and Geobiology, Tibet University Lhasa, China ; School of Life Sciences, Fudan University Shanghai, China
| | - Hang Sun
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences Kunming, China
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197
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Bock DG, Kane NC, Ebert DP, Rieseberg LH. Genome skimming reveals the origin of the Jerusalem Artichoke tuber crop species: neither from Jerusalem nor an artichoke. THE NEW PHYTOLOGIST 2014; 201:1021-1030. [PMID: 24245977 DOI: 10.1111/nph.12560] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2013] [Accepted: 09/14/2013] [Indexed: 05/19/2023]
Abstract
The perennial sunflower Helianthus tuberosus, known as Jerusalem Artichoke or Sunchoke, was cultivated in eastern North America before European contact. As such, it represents one of the few taxa that can support an independent origin of domestication in this region. Its tubers were adopted as a source of food and forage when the species was transferred to the Old World in the early 1600s, and are still used today. Despite the cultural and economic importance of this tuber crop species, its origin is debated. Competing hypotheses implicate the occurrence of polyploidization with or without hybridization, and list the annual sunflower H. annuus and five distantly related perennial sunflower species as potential parents. Here, we test these scenarios by skimming the genomes of diverse populations of Jerusalem Artichoke and its putative progenitors. We identify relationships among Helianthus taxa using complete plastomes (151 551 bp), partial mitochondrial genomes (196 853 bp) and 35S (8196 bp) and 5S (514 bp) ribosomal DNA. Our results refute the possibility that Jerusalem Artichoke is of H. annuus ancestry. We provide the first genetic evidence that this species originated recursively from perennial sunflowers of central-eastern North America via hybridization between tetraploid Hairy Sunflower and diploid Sawtooth Sunflower.
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Affiliation(s)
- Dan G Bock
- Biodiversity Research Centre and Department of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Nolan C Kane
- Department of Ecology and Evolutionary Biology, University of Colorado at Boulder, Boulder, CO, 80309, USA
| | - Daniel P Ebert
- Biodiversity Research Centre and Department of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Loren H Rieseberg
- Biodiversity Research Centre and Department of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Biology Department, Indiana University, Bloomington, IN, 47405, USA
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198
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Brown JE, Evans BR, Zheng W, Obas V, Barrera-Martinez L, Egizi A, Zhao H, Caccone A, Powell JR. Human impacts have shaped historical and recent evolution in Aedes aegypti, the dengue and yellow fever mosquito. Evolution 2014; 68:514-25. [PMID: 24111703 PMCID: PMC3946797 DOI: 10.1111/evo.12281] [Citation(s) in RCA: 175] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2012] [Accepted: 09/20/2013] [Indexed: 01/18/2023]
Abstract
Although anthropogenic impacts are often considered harmful to species, human modifications to the landscape can actually create novel niches to which other species can adapt. These "domestication" processes are especially important in the context of arthropod disease vectors, where ecological overlap of vector and human populations may lead to epidemics. Here, we present results of a global genetic study of one such species, the dengue and yellow fever mosquito, Aedes aegypti, whose evolutionary history and current distribution have been profoundly shaped by humans. We used DNA sequences of four nuclear genes and 1504 single nucleotide polymorphism (SNP) markers developed with restriction-site associated DNA (RAD) sequencing to test the hypothesis that Ae. aegypti originated in Africa, where a domestic form arose and spread throughout the tropical and subtropical world with human trade and movement. Results confirmed African ancestry of the species, and supported a single subspeciation event leading to the pantropical domestic form. In addition, genetic data strongly supported the hypothesis that human trade routes first moved domestic Ae. aegypti out of Africa into the New World, followed by a later invasion from the New World into Southeast Asia and the Pacific. These patterns of domestication and invasion are relevant to many species worldwide, as anthropogenic forces increasingly impact evolutionary processes.
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Affiliation(s)
- Julia E Brown
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut.
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199
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Xu P, Xu S, Wu X, Tao Y, Wang B, Wang S, Qin D, Lu Z, Li G. Population genomic analyses from low-coverage RAD-Seq data: a case study on the non-model cucurbit bottle gourd. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2014; 77:430-42. [PMID: 24320550 DOI: 10.1111/tpj.12370] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2013] [Revised: 10/20/2013] [Accepted: 10/22/2013] [Indexed: 05/10/2023]
Abstract
Restriction site-associated DNA sequencing (RAD-Seq), a next-generation sequencing-based genome 'complexity reduction' protocol, has been useful in population genomics in species with a reference genome. However, the application of this protocol to natural populations of genomically underinvestigated species, particularly under low-to-medium sequencing depth, has not been well justified. In this study, a Bayesian method was developed for calling genotypes from an F₂ population of bottle gourd [Lagenaria siceraria (Mol.) Standl.] to construct a high-density genetic map. Low-depth genome shotgun sequencing allowed the assembly of scaffolds/contigs comprising approximately 50% of the estimated genome, of which 922 were anchored for identifying syntenic regions between species. RAD-Seq genotyping of a natural population comprising 80 accessions identified 3226 single nuclear polymorphisms (SNPs), based on which two sub-gene pools were suggested for association with fruit shape. The two sub-gene pools were moderately differentiated, as reflected by the Hudson's F(ST) value of 0.14, and they represent regions on LG7 with strikingly elevated F(ST) values. Seven-fold reduction in heterozygosity and two times increase in LD (r²) were observed in the same region for the round-fruited sub-gene pool. Outlier test suggested the locus LX3405 on LG7 to be a candidate site under selection. Comparative genomic analysis revealed that the cucumber genome region syntenic to the high FST island on LG7 harbors an ortholog of the tomato fruit shape gene OVATE. Our results point to a bright future of applying RAD-Seq to population genomic studies for non-model species even under low-to-medium sequencing efforts. The genomic resources provide valuable information for cucurbit genome research.
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Affiliation(s)
- Pei Xu
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
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200
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Lozier JD. Revisiting comparisons of genetic diversity in stable and declining species: assessing genome-wide polymorphism in North American bumble bees using RAD sequencing. Mol Ecol 2014; 23:788-801. [DOI: 10.1111/mec.12636] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2013] [Revised: 12/10/2013] [Accepted: 12/13/2013] [Indexed: 02/02/2023]
Affiliation(s)
- J. D. Lozier
- Department of Biological Sciences; University of Alabama; Tuscaloosa AL 35487 USA
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