1501
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Lin S, Cheng S, Song B, Zhong X, Lin X, Li W, Li L, Zhang Y, Zhang H, Ji Z, Cai M, Zhuang Y, Shi X, Lin L, Wang L, Wang Z, Liu X, Yu S, Zeng P, Hao H, Zou Q, Chen C, Li Y, Wang Y, Xu C, Meng S, Xu X, Wang J, Yang H, Campbell DA, Sturm NR, Dagenais-Bellefeuille S, Morse D. The Symbiodinium kawagutii genome illuminates dinoflagellate gene expression and coral symbiosis. Science 2015; 350:691-4. [PMID: 26542574 DOI: 10.1126/science.aad0408] [Citation(s) in RCA: 311] [Impact Index Per Article: 31.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Dinoflagellates are important components of marine ecosystems and essential coral symbionts, yet little is known about their genomes. We report here on the analysis of a high-quality assembly from the 1180-megabase genome of Symbiodinium kawagutii. We annotated protein-coding genes and identified Symbiodinium-specific gene families. No whole-genome duplication was observed, but instead we found active (retro)transposition and gene family expansion, especially in processes important for successful symbiosis with corals. We also documented genes potentially governing sexual reproduction and cyst formation, novel promoter elements, and a microRNA system potentially regulating gene expression in both symbiont and coral. We found biochemical complementarity between genomes of S. kawagutii and the anthozoan Acropora, indicative of host-symbiont coevolution, providing a resource for studying the molecular basis and evolution of coral symbiosis.
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Affiliation(s)
- Senjie Lin
- State Key Laboratory of Marine Environmental Science and Marine Biodiversity and Global Change Research Center, Xiamen University, Xiamen 361101, China. Department of Marine Sciences, University of Connecticut, Groton, CT 06340, USA.
| | - Shifeng Cheng
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Hong Kong University (HKU)-BGI Bioinformatics Algorithms and Core Technology Research Laboratory, The Computer Science Department, The University of Hong Kong, Hong Kong, China. School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Bo Song
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Xiao Zhong
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Xin Lin
- State Key Laboratory of Marine Environmental Science and Marine Biodiversity and Global Change Research Center, Xiamen University, Xiamen 361101, China
| | - Wujiao Li
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Ling Li
- State Key Laboratory of Marine Environmental Science and Marine Biodiversity and Global Change Research Center, Xiamen University, Xiamen 361101, China
| | - Yaqun Zhang
- State Key Laboratory of Marine Environmental Science and Marine Biodiversity and Global Change Research Center, Xiamen University, Xiamen 361101, China
| | - Huan Zhang
- Department of Marine Sciences, University of Connecticut, Groton, CT 06340, USA
| | - Zhiliang Ji
- State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen 361101, China
| | - Meichun Cai
- State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen 361101, China
| | - Yunyun Zhuang
- Department of Marine Sciences, University of Connecticut, Groton, CT 06340, USA
| | - Xinguo Shi
- State Key Laboratory of Marine Environmental Science and Marine Biodiversity and Global Change Research Center, Xiamen University, Xiamen 361101, China
| | - Lingxiao Lin
- State Key Laboratory of Marine Environmental Science and Marine Biodiversity and Global Change Research Center, Xiamen University, Xiamen 361101, China
| | - Lu Wang
- State Key Laboratory of Marine Environmental Science and Marine Biodiversity and Global Change Research Center, Xiamen University, Xiamen 361101, China
| | - Zhaobao Wang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Xin Liu
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Sheng Yu
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Peng Zeng
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Han Hao
- Bioinformatics Institute, Agency for Science, Technology and Research, Singapore
| | - Quan Zou
- State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen 361101, China
| | - Chengxuan Chen
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Yanjun Li
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Ying Wang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Chunyan Xu
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Shanshan Meng
- State Key Laboratory of Marine Environmental Science and Marine Biodiversity and Global Change Research Center, Xiamen University, Xiamen 361101, China
| | - Xun Xu
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China
| | - Jun Wang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Department of Biology, University of Copenhagen, DK-2200 Copenhagen, Denmark. Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Huanming Yang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia. James D. Watson Institute of Genome Science, Hangzhou, China
| | - David A Campbell
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Nancy R Sturm
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Steve Dagenais-Bellefeuille
- Institut de Recherche en Biologie Végétale, Département de Sciences Biologiques, Université de Montréal, Montréal, Canada
| | - David Morse
- Institut de Recherche en Biologie Végétale, Département de Sciences Biologiques, Université de Montréal, Montréal, Canada
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1502
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Shen E, Zou J, Hubertus Behrens F, Chen L, Ye C, Dai S, Li R, Ni M, Jiang X, Qiu J, Liu Y, Wang W, Zhu QH, Chalhoub B, Bancroft I, Meng J, Cai D, Fan L. Identification, evolution, and expression partitioning of miRNAs in allopolyploid Brassica napus. JOURNAL OF EXPERIMENTAL BOTANY 2015; 66:7241-53. [PMID: 26357884 PMCID: PMC4765792 DOI: 10.1093/jxb/erv420] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
The recently published genome of Brassica napus offers for the first time the opportunity to gain insights into the genomic organization and the evolution of miRNAs in oilseed rape. In this study, 12 small RNA libraries from two B. napus cultivars (Tapidor and Ningyou7) and their four double-haploid lines were sequenced, employing the newly sequenced B. napus genome, together with genomes of its progenitors Brassica rapa and Brassica oleracea. A total of 645 miRNAs including 280 conserved and 365 novel miRNAs were identified. Comparative analysis revealed a high level of genomic conservation of MIRNAs (75.9%) between the subgenomes of B. napus and its two progenitors' genomes, and MIRNA lost/gain events (133) occurred in B. napus after its speciation. Furthermore, significant partitioning of miRNA expressions between the two subgenomes in B. napus was detected. The data of degradome sequencing, miRNA-mediated cleavage, and expression analyses support specific interactions between miRNAs and their targets in the modulation of diverse physiological processes in roots and leaves, as well as in biosynthesis of, for example, glucosinolates and lipids in oilseed rape. These data provide a first genome-wide view on the origin, evolution, and genomic organization of B. napus MIRNAs.
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Affiliation(s)
- Enhui Shen
- Institute of Crop Sciences & Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, PR China
| | - Jun Zou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Falk Hubertus Behrens
- Department of Molecular Phytopathology and Biotechnology, Christian-Albrechts University of Kiel, Hermann Rodewald Str. 9, D-24118 Kiel, Germany
| | - Li Chen
- Institute of Crop Sciences & Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, PR China
| | - Chuyu Ye
- Institute of Crop Sciences & Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, PR China
| | - Shutao Dai
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Ruiyan Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Meng Ni
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Xiaoxue Jiang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Jie Qiu
- Institute of Crop Sciences & Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, PR China
| | - Yang Liu
- Institute of Crop Sciences & Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, PR China
| | - Weidi Wang
- Institute of Crop Sciences & Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, PR China
| | - Qian-Hao Zhu
- CSIRO Agriculture Flagship, Canberra, ACT2601, Australia
| | - Boulos Chalhoub
- Organization and Evolution of Plant Genomes, Unité de Recherche en Génomique Végétale, Unité Mixte de Recherche 1165 (Institut National de Recherche Agronomique, Centre National de la Recherche Scientifique, Université Evry Val d'Essonne), Evry 91057, France
| | - Ian Bancroft
- Centre for Novel Agricultural Products (CNAP), Department of Biology, University of York, Wentworth Way, Heslington, York YO10 5DD, UK
| | - Jinling Meng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Daguang Cai
- Department of Molecular Phytopathology and Biotechnology, Christian-Albrechts University of Kiel, Hermann Rodewald Str. 9, D-24118 Kiel, Germany
| | - Longjiang Fan
- Institute of Crop Sciences & Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, PR China
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1503
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Ming R, VanBuren R, Wai CM, Tang H, Schatz MC, Bowers JE, Lyons E, Wang ML, Chen J, Biggers E, Zhang J, Huang L, Zhang L, Miao W, Zhang J, Ye Z, Miao C, Lin Z, Wang H, Zhou H, Yim WC, Priest HD, Zheng C, Woodhouse M, Edger PP, Guyot R, Guo HB, Guo H, Zheng G, Singh R, Sharma A, Min X, Zheng Y, Lee H, Gurtowski J, Sedlazeck FJ, Harkess A, McKain MR, Liao Z, Fang J, Liu J, Zhang X, Zhang Q, Hu W, Qin Y, Wang K, Chen LY, Shirley N, Lin YR, Liu LY, Hernandez AG, Wright CL, Bulone V, Tuskan GA, Heath K, Zee F, Moore PH, Sunkar R, Leebens-Mack JH, Mockler T, Bennetzen JL, Freeling M, Sankoff D, Paterson AH, Zhu X, Yang X, Smith JAC, Cushman JC, Paull RE, Yu Q. The pineapple genome and the evolution of CAM photosynthesis. Nat Genet 2015; 47:1435-42. [PMID: 26523774 PMCID: PMC4867222 DOI: 10.1038/ng.3435] [Citation(s) in RCA: 336] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Accepted: 10/05/2015] [Indexed: 12/21/2022]
Abstract
Pineapple (Ananas comosus (L.) Merr.) is the most economically valuable crop possessing crassulacean acid metabolism (CAM), a photosynthetic carbon assimilation pathway with high water-use efficiency, and the second most important tropical fruit. We sequenced the genomes of pineapple varieties F153 and MD2 and a wild pineapple relative, Ananas bracteatus accession CB5. The pineapple genome has one fewer ancient whole-genome duplication event than sequenced grass genomes and a conserved karyotype with seven chromosomes from before the ρ duplication event. The pineapple lineage has transitioned from C3 photosynthesis to CAM, with CAM-related genes exhibiting a diel expression pattern in photosynthetic tissues. CAM pathway genes were enriched with cis-regulatory elements associated with the regulation of circadian clock genes, providing the first cis-regulatory link between CAM and circadian clock regulation. Pineapple CAM photosynthesis evolved by the reconfiguration of pathways in C3 plants, through the regulatory neofunctionalization of preexisting genes and not through the acquisition of neofunctionalized genes via whole-genome or tandem gene duplication.
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Affiliation(s)
- Ray Ming
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Robert VanBuren
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Donald Danforth Plant Science Center, St. Louis, MO, USA
| | - Ching Man Wai
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Haibao Tang
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
- iPlant Collaborative/University of Arizona, Tuscon, AZ 85719, USA
| | | | - John E. Bowers
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | - Eric Lyons
- iPlant Collaborative/University of Arizona, Tuscon, AZ 85719, USA
| | - Ming-Li Wang
- Hawaii Agriculture Research Center, Kunia, HI 96759, USA
| | - Jung Chen
- Department of Tropical Plant and Soil Sciences, University of Hawaii, Honolulu, HI 96822, USA
| | - Eric Biggers
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY11724, USA
| | - Jisen Zhang
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Lixian Huang
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Lingmao Zhang
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Wenjing Miao
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Jian Zhang
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Zhangyao Ye
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Chenyong Miao
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Zhicong Lin
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Hao Wang
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | - Hongye Zhou
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | - Won C. Yim
- Department of Biochemistry and Molecular Biology, MS330, University of Nevada, Reno, NV 89557-0330, USA
| | | | - Chunfang Zheng
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Canada K1N 6N5
| | - Margaret Woodhouse
- Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA
| | - Patrick P. Edger
- Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA
| | - Romain Guyot
- IRD, UMR DIADE, EVODYN, BP 64501, 34394 Montpellier Cedex 5, France
| | - Hao-Bo Guo
- Department of Biochemistry & Cellular and Molecular Biology, University of Tennessee, Knoxville, TN 37996, USA
| | - Hong Guo
- Department of Biochemistry & Cellular and Molecular Biology, University of Tennessee, Knoxville, TN 37996, USA
| | - Guangyong Zheng
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ratnesh Singh
- Texas A&M AgriLife Research, Department of Plant Pathology & Microbiology, Texas A&M University System, Dallas, TX 75252, USA
| | - Anupma Sharma
- Texas A&M AgriLife Research, Department of Plant Pathology & Microbiology, Texas A&M University System, Dallas, TX 75252, USA
| | - Xiangjia Min
- Department of Biological Sciences, Youngstown State University, Youngstown, OH 44555, USA
| | - Yun Zheng
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
| | - Hayan Lee
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY11724, USA
| | - James Gurtowski
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY11724, USA
| | | | - Alex Harkess
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | | | - Zhenyang Liao
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Jingping Fang
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Juan Liu
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Xiaodan Zhang
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Qing Zhang
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Weichang Hu
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Yuan Qin
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Kai Wang
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Li-Yu Chen
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Neil Shirley
- ARC Centre of Excellence in Plant Cell Walls, School of Agriculture, Food and Wine, University of Adelaide, Waite Campus Urrbrae, South Australia 5064, Australia
| | - Yann-Rong Lin
- Department of Agronomy, National Taiwan University, Taipei 10617, Taiwan
| | - Li-Yu Liu
- Department of Agronomy, National Taiwan University, Taipei 10617, Taiwan
| | - Alvaro G. Hernandez
- W.M. Keck Center, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Chris L. Wright
- W.M. Keck Center, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Vincent Bulone
- ARC Centre of Excellence in Plant Cell Walls, School of Agriculture, Food and Wine, University of Adelaide, Waite Campus Urrbrae, South Australia 5064, Australia
| | - Gerald A. Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - Katy Heath
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Francis Zee
- USDA-ARS, Pacific Basin Agricultural Research Center, Hilo, HI 96720, USA
| | - Paul H. Moore
- Hawaii Agriculture Research Center, Kunia, HI 96759, USA
| | - Ramanjulu Sunkar
- Department of Biochemistry and Molecular Biology, 246 Noble Research Center, Oklahoma State University, Stillwater, OK 74078, USA
| | | | - Todd Mockler
- Donald Danforth Plant Science Center, St. Louis, MO, USA
| | | | - Michael Freeling
- Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA
| | - David Sankoff
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Canada K1N 6N5
| | - Andrew H. Paterson
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA
| | - Xinguang Zhu
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xiaohan Yang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - J. Andrew C. Smith
- Department of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK
| | - John C. Cushman
- Department of Biochemistry and Molecular Biology, MS330, University of Nevada, Reno, NV 89557-0330, USA
| | - Robert E. Paull
- Department of Tropical Plant and Soil Sciences, University of Hawaii, Honolulu, HI 96822, USA
| | - Qingyi Yu
- Texas A&M AgriLife Research, Department of Plant Pathology & Microbiology, Texas A&M University System, Dallas, TX 75252, USA
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1504
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Sucrose metabolism gene families and their biological functions. Sci Rep 2015; 5:17583. [PMID: 26616172 PMCID: PMC4663468 DOI: 10.1038/srep17583] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Accepted: 11/02/2015] [Indexed: 01/30/2023] Open
Abstract
Sucrose, as the main product of photosynthesis, plays crucial roles in plant development. Although studies on general metabolism pathway were well documented, less information is available on the genome-wide identification of these genes, their expansion and evolutionary history as well as their biological functions. We focused on four sucrose metabolism related gene families including sucrose synthase, sucrose phosphate synthase, sucrose phosphate phosphatase and UDP-glucose pyrophosphorylase. These gene families exhibited different expansion and evolutionary history as their host genomes experienced differentiated rates of the whole genome duplication, tandem and segmental duplication, or mobile element mediated gene gain and loss. They were evolutionarily conserved under purifying selection among species and expression divergence played important roles for gene survival after expansion. However, we have detected recent positive selection during intra-species divergence. Overexpression of 15 sorghum genes in Arabidopsis revealed their roles in biomass accumulation, flowering time control, seed germination and response to high salinity and sugar stresses. Our studies uncovered the molecular mechanisms of gene expansion and evolution and also provided new insight into the role of positive selection in intra-species divergence. Overexpression data revealed novel biological functions of these genes in flowering time control and seed germination under normal and stress conditions.
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1505
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1506
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AlMomin S, Kumar V, Al-Amad S, Al-Hussaini M, Dashti T, Al-Enezi K, Akbar A. Draft genome sequence of the silver pomfret fish, Pampus argenteus. Genome 2015; 59:51-8. [PMID: 26692342 DOI: 10.1139/gen-2015-0056] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Silver pomfret, Pampus argenteus, is a fish species from coastal waters. Despite its high commercial value, this edible fish has not been sequenced. Hence, its genetic and genomic studies have been limited. We report the first draft genome sequence of the silver pomfret obtained using a Next Generation Sequencing (NGS) technology. We assembled 38.7 Gb of nucleotides into scaffolds of 350 Mb with N50 of about 1.5 kb, using high quality paired end reads. These scaffolds represent 63.7% of the estimated silver pomfret genome length. The newly sequenced and assembled genome has 11.06% repetitive DNA regions, and this percentage is comparable to that of the tilapia genome. The genome analysis predicted 16 322 genes. About 91% of these genes showed homology with known proteins. Many gene clusters were annotated to protein and fatty-acid metabolism pathways that may be important in the context of the meat texture and immune system developmental processes. The reference genome can pave the way for the identification of many other genomic features that could improve breeding and population-management strategies, and it can also help characterize the genetic diversity of P. argenteus.
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Affiliation(s)
- Sabah AlMomin
- Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.,Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait
| | - Vinod Kumar
- Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.,Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait
| | - Sami Al-Amad
- Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.,Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait
| | - Mohsen Al-Hussaini
- Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.,Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait
| | - Talal Dashti
- Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.,Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait
| | - Khaznah Al-Enezi
- Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.,Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait
| | - Abrar Akbar
- Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait.,Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait
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1507
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Zhang W, Zhou J, Liu T, Yu Y, Pan Y, Yan S, Wang Y. Four novel algal virus genomes discovered from Yellowstone Lake metagenomes. Sci Rep 2015; 5:15131. [PMID: 26459929 PMCID: PMC4602308 DOI: 10.1038/srep15131] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 09/17/2015] [Indexed: 11/09/2022] Open
Abstract
Phycodnaviruses are algae-infecting large dsDNA viruses that are widely distributed in aquatic environments. Here, partial genomic sequences of four novel algal viruses were assembled from a Yellowstone Lake metagenomic data set. Genomic analyses revealed that three Yellowstone Lake phycodnaviruses (YSLPVs) had genome lengths of 178,262 bp, 171,045 bp, and 171,454 bp, respectively, and were phylogenetically closely related to prasinoviruses (Phycodnaviridae). The fourth (YSLGV), with a genome length of 73,689 bp, was related to group III in the extended family Mimiviridae comprising Organic Lake phycodnaviruses and Phaeocystis globosa virus 16 T (OLPG). A pair of inverted terminal repeats was detected in YSLPV1, suggesting that its genome is nearly complete. Interestingly, these four putative YSL giant viruses also bear some genetic similarities to Yellowstone Lake virophages (YSLVs). For example, they share nine non-redundant homologous genes, including ribonucleotide reductase small subunit (a gene conserved in nucleo-cytoplasmic large DNA viruses) and Organic Lake virophage OLV2 (conserved in the majority of YSLVs). Additionally, putative multidrug resistance genes (emrE) were found in YSLPV1 and YSLPV2 but not in other viruses. Phylogenetic trees of emrE grouped YSLPVs with algae, suggesting that horizontal gene transfer occurred between giant viruses and their potential algal hosts.
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Affiliation(s)
- Weijia Zhang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Jinglie Zhou
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
- Department of Biological Sciences, Auburn University, Auburn, AL, USA
| | - Taigang Liu
- College of Information Technology, Shanghai Ocean University, Shanghai, China
| | - Yongxin Yu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage & Preservation, Ministry of Agriculture, Shanghai, China
| | - Yingjie Pan
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage & Preservation, Ministry of Agriculture, Shanghai, China
| | - Shuling Yan
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
- Institute of Biochemistry and Molecular Cell Biology, University of Göttingen, Göttingen, Germany
| | - Yongjie Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage & Preservation, Ministry of Agriculture, Shanghai, China
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1508
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Liu X, Zhao B, Zheng HJ, Hu Y, Lu G, Yang CQ, Chen JD, Chen JJ, Chen DY, Zhang L, Zhou Y, Wang LJ, Guo WZ, Bai YL, Ruan JX, Shangguan XX, Mao YB, Shan CM, Jiang JP, Zhu YQ, Jin L, Kang H, Chen ST, He XL, Wang R, Wang YZ, Chen J, Wang LJ, Yu ST, Wang BY, Wei J, Song SC, Lu XY, Gao ZC, Gu WY, Deng X, Ma D, Wang S, Liang WH, Fang L, Cai CP, Zhu XF, Zhou BL, Jeffrey Chen Z, Xu SH, Zhang YG, Wang SY, Zhang TZ, Zhao GP, Chen XY. Gossypium barbadense genome sequence provides insight into the evolution of extra-long staple fiber and specialized metabolites. Sci Rep 2015; 5:14139. [PMID: 26420475 PMCID: PMC4588572 DOI: 10.1038/srep14139] [Citation(s) in RCA: 172] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Accepted: 08/18/2015] [Indexed: 01/24/2023] Open
Abstract
Of the two cultivated species of allopolyploid cotton, Gossypium barbadense produces extra-long fibers for the production of superior textiles. We sequenced its genome (AD)2 and performed a comparative analysis. We identified three bursts of retrotransposons from 20 million years ago (Mya) and a genome-wide uneven pseudogenization peak at 11–20 Mya, which likely contributed to genomic divergences. Among the 2,483 genes preferentially expressed in fiber, a cell elongation regulator, PRE1, is strikingly At biased and fiber specific, echoing the A-genome origin of spinnable fiber. The expansion of the PRE members implies a genetic factor that underlies fiber elongation. Mature cotton fiber consists of nearly pure cellulose. G. barbadense and G. hirsutum contain 29 and 30 cellulose synthase (CesA) genes, respectively; whereas most of these genes (>25) are expressed in fiber, genes for secondary cell wall biosynthesis exhibited a delayed and higher degree of up-regulation in G. barbadense compared with G. hirsutum, conferring an extended elongation stage and highly active secondary wall deposition during extra-long fiber development. The rapid diversification of sesquiterpene synthase genes in the gossypol pathway exemplifies the chemical diversity of lineage-specific secondary metabolites. The G. barbadense genome advances our understanding of allopolyploidy, which will help improve cotton fiber quality.
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Affiliation(s)
- Xia Liu
- Esquel Group, 25/F Eastern Cenrtal Plaza, 3 Yin Hing Road, Shau Kei Wan, Hongkong, China
| | - Bo Zhao
- National Key Laboratory of Plant Molecular Genetics, National Plant Gene Research Center, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Hua-Jun Zheng
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Yan Hu
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Gang Lu
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Chang-Qing Yang
- National Key Laboratory of Plant Molecular Genetics, National Plant Gene Research Center, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Jie-Dan Chen
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Jun-Jian Chen
- Esquel Group, 25/F Eastern Cenrtal Plaza, 3 Yin Hing Road, Shau Kei Wan, Hongkong, China
| | - Dian-Yang Chen
- National Key Laboratory of Plant Molecular Genetics, National Plant Gene Research Center, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Liang Zhang
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Yan Zhou
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China.,State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Ling-Jian Wang
- National Key Laboratory of Plant Molecular Genetics, National Plant Gene Research Center, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Wang-Zhen Guo
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Yu-Lin Bai
- Esquel Group, 25/F Eastern Cenrtal Plaza, 3 Yin Hing Road, Shau Kei Wan, Hongkong, China
| | - Ju-Xin Ruan
- National Key Laboratory of Plant Molecular Genetics, National Plant Gene Research Center, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Xiao-Xia Shangguan
- National Key Laboratory of Plant Molecular Genetics, National Plant Gene Research Center, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Ying-Bo Mao
- National Key Laboratory of Plant Molecular Genetics, National Plant Gene Research Center, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Chun-Min Shan
- National Key Laboratory of Plant Molecular Genetics, National Plant Gene Research Center, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Jian-Ping Jiang
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Yong-Qiang Zhu
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Lei Jin
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Hui Kang
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Shu-Ting Chen
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Xu-Lin He
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Rui Wang
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Yue-Zhu Wang
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Jie Chen
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Li-Jun Wang
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Shu-Ting Yu
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Bi-Yun Wang
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Jia Wei
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Si-Chao Song
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Xin-Yan Lu
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Zheng-Chao Gao
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Wen-Yi Gu
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Xiao Deng
- The Institutes of Biology and Medical Sciences, Soochow University, Suzhou, Jiangsu 214123, China
| | - Dan Ma
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Sen Wang
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Wen-Hua Liang
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Lei Fang
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Cai-Ping Cai
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Xie-Fei Zhu
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Bao-Liang Zhou
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Z Jeffrey Chen
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.,Institute for Cellular and Molecular Biology and Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, Texas 78712, USA
| | - Shu-Hua Xu
- Max Planck Independent Research Group on Population Genomics, Chinese Academy of Sciences and Max Planck Society (CAS-MPG) Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yu-Gao Zhang
- Esquel Group, 25/F Eastern Cenrtal Plaza, 3 Yin Hing Road, Shau Kei Wan, Hongkong, China
| | - Sheng-Yue Wang
- Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China
| | - Tian-Zhen Zhang
- Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Guo-Ping Zhao
- National Key Laboratory of Plant Molecular Genetics, National Plant Gene Research Center, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China.,Shanghai-Ministry of Science and Technology Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China.,State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Xiao-Ya Chen
- National Key Laboratory of Plant Molecular Genetics, National Plant Gene Research Center, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
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1509
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Georges A, Li Q, Lian J, O'Meally D, Deakin J, Wang Z, Zhang P, Fujita M, Patel HR, Holleley CE, Zhou Y, Zhang X, Matsubara K, Waters P, Graves JAM, Sarre SD, Zhang G. High-coverage sequencing and annotated assembly of the genome of the Australian dragon lizard Pogona vitticeps. Gigascience 2015; 4:45. [PMID: 26421146 PMCID: PMC4585809 DOI: 10.1186/s13742-015-0085-2] [Citation(s) in RCA: 75] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2015] [Accepted: 09/14/2015] [Indexed: 11/10/2022] Open
Abstract
Background The lizards of the family Agamidae are one of the most prominent elements of the Australian reptile fauna. Here, we present a genomic resource built on the basis of a wild-caught male ZZ central bearded dragon Pogona vitticeps. Findings The genomic sequence for P. vitticeps, generated on the Illumina HiSeq 2000 platform, comprised 317 Gbp (179X raw read depth) from 13 insert libraries ranging from 250 bp to 40 kbp. After filtering for low-quality and duplicated reads, 146 Gbp of data (83X) was available for assembly. Exceptionally high levels of heterozygosity (0.85 % of single nucleotide polymorphisms plus sequence insertions or deletions) complicated assembly; nevertheless, 96.4 % of reads mapped back to the assembled scaffolds, indicating that the assembly included most of the sequenced genome. Length of the assembly was 1.8 Gbp in 545,310 scaffolds (69,852 longer than 300 bp), the longest being 14.68 Mbp. N50 was 2.29 Mbp. Genes were annotated on the basis of de novo prediction, similarity to the green anole Anolis carolinensis, Gallus gallus and Homo sapiens proteins, and P. vitticeps transcriptome sequence assemblies, to yield 19,406 protein-coding genes in the assembly, 63 % of which had intact open reading frames. Our assembly captured 99 % (246 of 248) of core CEGMA genes, with 93 % (231) being complete. Conclusions The quality of the P. vitticeps assembly is comparable or superior to that of other published squamate genomes, and the annotated P. vitticeps genome can be accessed through a genome browser available at https://genomics.canberra.edu.au. Electronic supplementary material The online version of this article (doi:10.1186/s13742-015-0085-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Arthur Georges
- Institute for Applied Ecology, University of Canberra, Canberra, ACT 2601 Australia
| | - Qiye Li
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518083 China ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, 1350 Denmark
| | - Jinmin Lian
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518083 China
| | - Denis O'Meally
- Institute for Applied Ecology, University of Canberra, Canberra, ACT 2601 Australia
| | - Janine Deakin
- Institute for Applied Ecology, University of Canberra, Canberra, ACT 2601 Australia
| | - Zongji Wang
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518083 China ; School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, 510006 China
| | - Pei Zhang
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518083 China
| | - Matthew Fujita
- Department of Biology, University of Texas at Arlington, 701 S. Nedderman Drive, Arlington, TX 76019 USA
| | - Hardip R Patel
- John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601 Australia
| | - Clare E Holleley
- Institute for Applied Ecology, University of Canberra, Canberra, ACT 2601 Australia
| | - Yang Zhou
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518083 China
| | - Xiuwen Zhang
- Institute for Applied Ecology, University of Canberra, Canberra, ACT 2601 Australia
| | - Kazumi Matsubara
- Institute for Applied Ecology, University of Canberra, Canberra, ACT 2601 Australia
| | - Paul Waters
- School of Biotechnology & Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052 Australia
| | - Jennifer A Marshall Graves
- Institute for Applied Ecology, University of Canberra, Canberra, ACT 2601 Australia ; School of Life Science, La Trobe University, Melbourne, VIC 3086 Australia
| | - Stephen D Sarre
- Institute for Applied Ecology, University of Canberra, Canberra, ACT 2601 Australia
| | - Guojie Zhang
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518083 China ; Centre for Social Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
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1510
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Lau YL, Lee WC, Xia J, Zhang G, Razali R, Anwar A, Fong MY. Draft genome of Brugia pahangi: high similarity between B. pahangi and B. malayi. Parasit Vectors 2015; 8:451. [PMID: 26350613 PMCID: PMC4562187 DOI: 10.1186/s13071-015-1064-2] [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: 07/10/2015] [Accepted: 09/01/2015] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Efforts to completely eradicate lymphatic filariasis from human population may be challenged by the emergence of Brugia pahangi as another zoonotic lymphatic filarial nematode. In this report, a genomic study was conducted to understand this species at molecular level. METHODS After blood meal on a B. pahangi-harbouring cat, the Aedes togoi mosquitoes were maintained to harvest infective third stage larvae, which were then injected into male Mongolian gerbils. Subsequently, adult B. pahangi were obtained from the infected gerbil for genomic DNA extraction. Sequencing and subsequently, construction of genomic libraries were performed. This was followed by genomic analyses and gene annotation analysis. By using archived protein sequences of B. malayi and a few other nematodes, clustering of gene orthologs and phylogenetics were conducted. RESULTS A total of 9687 coding genes were predicted. The genome of B. pahangi shared high similarity to that B. malayi genome, particularly genes annotated to fundamental processes. Nevertheless, 166 genes were considered to be unique to B. pahangi, which may be responsible for the distinct properties of B. pahangi as compared to other filarial nematodes. In addition, 803 genes were deduced to be derived from Wolbachia, an endosymbiont bacterium, with 44 of these genes intercalate into the nematode genome. CONCLUSIONS The reporting of B. pahangi draft genome contributes to genomic archive. Albeit with high similarity to B. malayi genome, the B. pahangi-unique genes found in this study may serve as new focus to study differences in virulence, vector selection and host adaptability among different Brugia spp.
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Affiliation(s)
- Yee-Ling Lau
- Department of Parasitology, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
| | - Wenn-Chyau Lee
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore
| | | | | | - Rozaimi Razali
- Sengenics HIR, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Arif Anwar
- Sengenics HIR, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Mun-Yik Fong
- Department of Parasitology, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
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1511
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Mind the gap; seven reasons to close fragmented genome assemblies. Fungal Genet Biol 2015; 90:24-30. [PMID: 26342853 DOI: 10.1016/j.fgb.2015.08.010] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Revised: 08/27/2015] [Accepted: 08/28/2015] [Indexed: 10/23/2022]
Abstract
Like other domains of life, research into the biology of filamentous microbes has greatly benefited from the advent of whole-genome sequencing. Next-generation sequencing (NGS) technologies have revolutionized sequencing, making genomic sciences accessible to many academic laboratories including those that study non-model organisms. Thus, hundreds of fungal genomes have been sequenced and are publically available today, although these initiatives have typically yielded considerably fragmented genome assemblies that often lack large contiguous genomic regions. Many important genomic features are contained in intergenic DNA that is often missing in current genome assemblies, and recent studies underscore the significance of non-coding regions and repetitive elements for the life style, adaptability and evolution of many organisms. The study of particular types of genetic elements, such as telomeres, centromeres, repetitive elements, effectors, and clusters of co-regulated genes, but also of phenomena such as structural rearrangements, genome compartmentalization and epigenetics, greatly benefits from having a contiguous and high-quality, preferably even complete and gapless, genome assembly. Here we discuss a number of important reasons to produce gapless, finished, genome assemblies to help answer important biological questions.
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1512
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Single-Molecule Real-Time Sequencing Combined with Optical Mapping Yields Completely Finished Fungal Genome. mBio 2015; 6:mBio.00936-15. [PMID: 26286689 PMCID: PMC4542186 DOI: 10.1128/mbio.00936-15] [Citation(s) in RCA: 123] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Next-generation sequencing (NGS) technologies have increased the scalability, speed, and resolution of genomic sequencing and, thus, have revolutionized genomic studies. However, eukaryotic genome sequencing initiatives typically yield considerably fragmented genome assemblies. Here, we assessed various state-of-the-art sequencing and assembly strategies in order to produce a contiguous and complete eukaryotic genome assembly, focusing on the filamentous fungus Verticillium dahliae. Compared with Illumina-based assemblies of the V. dahliae genome, hybrid assemblies that also include PacBio-generated long reads establish superior contiguity. Intriguingly, provided that sufficient sequence depth is reached, assemblies solely based on PacBio reads outperform hybrid assemblies and even result in fully assembled chromosomes. Furthermore, the addition of optical map data allowed us to produce a gapless and complete V. dahliae genome assembly of the expected eight chromosomes from telomere to telomere. Consequently, we can now study genomic regions that were previously not assembled or poorly assembled, including regions that are populated by repetitive sequences, such as transposons, allowing us to fully appreciate an organism’s biological complexity. Our data show that a combination of PacBio-generated long reads and optical mapping can be used to generate complete and gapless assemblies of fungal genomes. Studying whole-genome sequences has become an important aspect of biological research. The advent of next-generation sequencing (NGS) technologies has nowadays brought genomic science within reach of most research laboratories, including those that study nonmodel organisms. However, most genome sequencing initiatives typically yield (highly) fragmented genome assemblies. Nevertheless, considerable relevant information related to genome structure and evolution is likely hidden in those nonassembled regions. Here, we investigated a diverse set of strategies to obtain gapless genome assemblies, using the genome of a typical ascomycete fungus as the template. Eventually, we were able to show that a combination of PacBio-generated long reads and optical mapping yields a gapless telomere-to-telomere genome assembly, allowing in-depth genome analyses to facilitate functional studies into an organism’s biology.
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1513
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Faino L, Seidl MF, Datema E, van den Berg GCM, Janssen A, Wittenberg AHJ, Thomma BPHJ. Single-Molecule Real-Time Sequencing Combined with Optical Mapping Yields Completely Finished Fungal Genome. mBio 2015. [PMID: 26286689 DOI: 10.1128/mbio.00936-915] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/30/2023] Open
Abstract
UNLABELLED Next-generation sequencing (NGS) technologies have increased the scalability, speed, and resolution of genomic sequencing and, thus, have revolutionized genomic studies. However, eukaryotic genome sequencing initiatives typically yield considerably fragmented genome assemblies. Here, we assessed various state-of-the-art sequencing and assembly strategies in order to produce a contiguous and complete eukaryotic genome assembly, focusing on the filamentous fungus Verticillium dahliae. Compared with Illumina-based assemblies of the V. dahliae genome, hybrid assemblies that also include PacBio-generated long reads establish superior contiguity. Intriguingly, provided that sufficient sequence depth is reached, assemblies solely based on PacBio reads outperform hybrid assemblies and even result in fully assembled chromosomes. Furthermore, the addition of optical map data allowed us to produce a gapless and complete V. dahliae genome assembly of the expected eight chromosomes from telomere to telomere. Consequently, we can now study genomic regions that were previously not assembled or poorly assembled, including regions that are populated by repetitive sequences, such as transposons, allowing us to fully appreciate an organism's biological complexity. Our data show that a combination of PacBio-generated long reads and optical mapping can be used to generate complete and gapless assemblies of fungal genomes. IMPORTANCE Studying whole-genome sequences has become an important aspect of biological research. The advent of next-generation sequencing (NGS) technologies has nowadays brought genomic science within reach of most research laboratories, including those that study nonmodel organisms. However, most genome sequencing initiatives typically yield (highly) fragmented genome assemblies. Nevertheless, considerable relevant information related to genome structure and evolution is likely hidden in those nonassembled regions. Here, we investigated a diverse set of strategies to obtain gapless genome assemblies, using the genome of a typical ascomycete fungus as the template. Eventually, we were able to show that a combination of PacBio-generated long reads and optical mapping yields a gapless telomere-to-telomere genome assembly, allowing in-depth genome analyses to facilitate functional studies into an organism's biology.
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Affiliation(s)
- Luigi Faino
- Laboratory of Phytopathology, Wageningen University, Wageningen, The Netherlands
| | - Michael F Seidl
- Laboratory of Phytopathology, Wageningen University, Wageningen, The Netherlands
| | | | | | | | | | - Bart P H J Thomma
- Laboratory of Phytopathology, Wageningen University, Wageningen, The Netherlands
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1514
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Marcon HS, Domingues DS, Silva JC, Borges RJ, Matioli FF, Fontes MRDM, Marino CL. Transcriptionally active LTR retrotransposons in Eucalyptus genus are differentially expressed and insertionally polymorphic. BMC PLANT BIOLOGY 2015; 15:198. [PMID: 26268941 PMCID: PMC4535378 DOI: 10.1186/s12870-015-0550-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Accepted: 06/12/2015] [Indexed: 06/01/2023]
Abstract
BACKGROUND In Eucalyptus genus, studies on genome composition and transposable elements (TEs) are particularly scarce. Nearly half of the recently released Eucalyptus grandis genome is composed by retrotransposons and this data provides an important opportunity to understand TE dynamics in Eucalyptus genome and transcriptome. RESULTS We characterized nine families of transcriptionally active LTR retrotransposons from Copia and Gypsy superfamilies in Eucalyptus grandis genome and we depicted genomic distribution and copy number in two Eucalyptus species. We also evaluated genomic polymorphism and transcriptional profile in three organs of five Eucalyptus species. We observed contrasting genomic and transcriptional behavior in the same family among different species. RLC_egMax_1 was the most prevalent family and RLC_egAngela_1 was the family with the lowest copy number. Most families of both superfamilies have their insertions occurring <3 million years, except one Copia family, RLC_egBianca_1. Protein theoretical models suggest different properties between Copia and Gypsy domains. IRAP and REMAP markers suggested genomic polymorphisms among Eucalyptus species. Using EST analysis and qRT-PCRs, we observed transcriptional activity in several tissues and in all evaluated species. In some families, osmotic stress increases transcript values. CONCLUSION Our strategy was successful in isolating transcriptionally active retrotransposons in Eucalyptus, and each family has a particular genomic and transcriptional pattern. Overall, our results show that retrotransposon activity have differentially affected genome and transcriptome among Eucalyptus species.
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Affiliation(s)
- Helena Sanches Marcon
- Departamento de Genética, Instituto de Biociências, Universidade Estadual Paulista - UNESP, Botucatu, Brazil.
- Programa de Pós-graduação em Ciências Biológicas (Genética), Universidade Estadual Paulista - UNESP, Botucatu, Brazil.
| | - Douglas Silva Domingues
- Programa de Pós-graduação em Ciências Biológicas (Genética), Universidade Estadual Paulista - UNESP, Botucatu, Brazil.
- Departamento de Botânica, Instituto de Biociências, Universidade Estadual Paulista - UNESP, Rio Claro, Brazil.
| | - Juliana Costa Silva
- Plant Biotechnology Laboratory, Instituto Agronômico do Paraná - IAPAR, Londrina, Brazil.
| | - Rafael Junqueira Borges
- Programa de Pós-graduação em Ciências Biológicas (Genética), Universidade Estadual Paulista - UNESP, Botucatu, Brazil.
- Departamento de Física e Biofísica, Instituto de Biociências, Universidade Estadual Paulista - UNESP, Botucatu, Brazil and INCTTOX-CNPq, Brazil.
| | - Fábio Filippi Matioli
- Departamento de Física e Biofísica, Instituto de Biociências, Universidade Estadual Paulista - UNESP, Botucatu, Brazil and INCTTOX-CNPq, Brazil.
| | - Marcos Roberto de Mattos Fontes
- Programa de Pós-graduação em Ciências Biológicas (Genética), Universidade Estadual Paulista - UNESP, Botucatu, Brazil.
- Departamento de Física e Biofísica, Instituto de Biociências, Universidade Estadual Paulista - UNESP, Botucatu, Brazil and INCTTOX-CNPq, Brazil.
| | - Celso Luis Marino
- Departamento de Genética, Instituto de Biociências, Universidade Estadual Paulista - UNESP, Botucatu, Brazil.
- Programa de Pós-graduação em Ciências Biológicas (Genética), Universidade Estadual Paulista - UNESP, Botucatu, Brazil.
- Instituto de Biotecnologia da UNESP - IBTEC, Botucatu, Brazil.
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1515
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Parween S, Nawaz K, Roy R, Pole AK, Venkata Suresh B, Misra G, Jain M, Yadav G, Parida SK, Tyagi AK, Bhatia S, Chattopadhyay D. An advanced draft genome assembly of a desi type chickpea (Cicer arietinum L.). Sci Rep 2015; 5:12806. [PMID: 26259924 PMCID: PMC4531285 DOI: 10.1038/srep12806] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 07/06/2015] [Indexed: 11/09/2022] Open
Abstract
Chickpea (Cicer arietinum L.) is an important pulse legume crop. We previously reported a draft genome assembly of the desi chickpea cultivar ICC 4958. Here we report an advanced version of the ICC 4958 genome assembly (version 2.0) generated using additional sequence data and an improved genetic map. This resulted in 2.7-fold increase in the length of the pseudomolecules and substantial reduction of sequence gaps. The genome assembly covered more than 94% of the estimated gene space and predicted the presence of 30,257 protein-coding genes including 2230 and 133 genes encoding potential transcription factors (TF) and resistance gene homologs, respectively. Gene expression analysis identified several TF and chickpea-specific genes with tissue-specific expression and displayed functional diversification of the paralogous genes. Pairwise comparison of pseudomolecules in the desi (ICC 4958) and the earlier reported kabuli (CDC Frontier) chickpea assemblies showed an extensive local collinearity with incongruity in the placement of large sequence blocks along the linkage groups, apparently due to use of different genetic maps. Single nucleotide polymorphism (SNP)-based mining of intra-specific polymorphism identified more than four thousand SNPs differentiating a desi group and a kabuli group of chickpea genotypes.
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Affiliation(s)
- Sabiha Parween
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Kashif Nawaz
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Riti Roy
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Anil K. Pole
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - B. Venkata Suresh
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Gopal Misra
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Mukesh Jain
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Gitanjali Yadav
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Swarup K. Parida
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Akhilesh K. Tyagi
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Sabhyata Bhatia
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Debasis Chattopadhyay
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
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1516
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Shirk PD, Perera OP, Shelby KS, Furlong RB, LoVullo ED, Popham HJR. Unique synteny and alternate splicing of the chitin synthases in closely related heliothine moths. Gene 2015; 574:121-39. [PMID: 26253161 DOI: 10.1016/j.gene.2015.08.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Revised: 07/20/2015] [Accepted: 08/01/2015] [Indexed: 12/20/2022]
Abstract
Chitin is an extracellular biopolymer that contributes to the cuticular structural matrix in arthropods. As a consequence of its rigid structure, the chitinous cuticle must be shed and replaced to accommodate growth. Two chitin synthase genes that encode for chitin synthase A (ChSA), which produces cuticular exoskeleton, and chitin synthase B (ChSB), which produces peritrophic membrane, were characterized in the genomes of two heliothine moths: the corn earworm/cotton bollworm, Helicoverpa zea (Boddie) (Lepidoptera: Noctuidae) and the cotton bollworm, Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae). In both moths, the two genes were arranged in tandem with the same orientation on the same strand with ChSB located 5' of ChSA. Sequence comparisons showed that the coding sequences were highly conserved with homologues from other species but that the tandem juxtaposed genomic arrangement of the two genes was unique in these insects. The mechanism that has led to this arrangement is unclear but is most likely a recent recombinational event. Transcript mapping of HzChSB and HzChSA in H. zea demonstrated that both transcripts were differentially spliced in various tissues and larval stages. The identification of the HzChSB-E12b alternate spliced transcript is the first report of alternate splicing for the ChSB group. The importance of this splice form is not clear because the protein produced would lack any enzymatic activity but retain the membrane insertion motifs. As for other insects, these genes provide an important target for potential control through RNAi but also provide a subject for broad scale genomic recombinational events.
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Affiliation(s)
- Paul D Shirk
- USDA ARS CMAVE, 1700 SW 23rd Drive, Gainesville, FL 32608 USA.
| | | | - Kent S Shelby
- USDA ARS BCIRL, 1503 S. Providence, Columbia, MO 65203 USA.
| | | | - Eric D LoVullo
- USDA ARS CMAVE, 1700 SW 23rd Drive, Gainesville, FL 32608 USA.
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1517
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Hoen DR, Hickey G, Bourque G, Casacuberta J, Cordaux R, Feschotte C, Fiston-Lavier AS, Hua-Van A, Hubley R, Kapusta A, Lerat E, Maumus F, Pollock DD, Quesneville H, Smit A, Wheeler TJ, Bureau TE, Blanchette M. A call for benchmarking transposable element annotation methods. Mob DNA 2015; 6:13. [PMID: 26244060 PMCID: PMC4524446 DOI: 10.1186/s13100-015-0044-6] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Accepted: 07/22/2015] [Indexed: 12/31/2022] Open
Abstract
DNA derived from transposable elements (TEs) constitutes large parts of the genomes of complex eukaryotes, with major impacts not only on genomic research but also on how organisms evolve and function. Although a variety of methods and tools have been developed to detect and annotate TEs, there are as yet no standard benchmarks-that is, no standard way to measure or compare their accuracy. This lack of accuracy assessment calls into question conclusions from a wide range of research that depends explicitly or implicitly on TE annotation. In the absence of standard benchmarks, toolmakers are impeded in improving their tools, annotators cannot properly assess which tools might best suit their needs, and downstream researchers cannot judge how accuracy limitations might impact their studies. We therefore propose that the TE research community create and adopt standard TE annotation benchmarks, and we call for other researchers to join the authors in making this long-overdue effort a success.
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Affiliation(s)
- Douglas R Hoen
- School of Computer Science, McGill University, McConnell Engineering Bldg., Rm. 318, 3480 Rue University, Montréal, Québec H3A 0E9 Canada ; Department of Biology, McGill University, Stewart Biology Bldg., 1205 Ave. du Docteur-Penfield, Montréal, Québec H3A 1B1 Canada
| | - Glenn Hickey
- School of Computer Science, McGill University, McConnell Engineering Bldg., Rm. 318, 3480 Rue University, Montréal, Québec H3A 0E9 Canada ; McGill Centre for Bioinformatics, McGill University, Montréal, Québec Canada
| | - Guillaume Bourque
- Department of Human Genetics, McGill University, Montréal, Québec Canada ; McGill University and Génome Québec Innovation Center, Montréal, Québec Canada
| | - Josep Casacuberta
- Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, 08193 Barcelona, Spain
| | - Richard Cordaux
- Université de Poitiers, UMR CNRS 7267 Ecologie et Biologie des Interactions, Equipe Ecologie Evolution Symbiose, 5 Rue Albert Turpin, 86073 Poitiers Cedex 9, France
| | - Cédric Feschotte
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112 USA
| | - Anna-Sophie Fiston-Lavier
- Institut des Sciences de l'Evolution de Montpellier (ISE-M), Equipe Evolution, Vecteurs, Adaptation et Symbiose, UMR5554 CNRS-Université Montpellier, Montpellier, 34090 cedex 05 France
| | - Aurélie Hua-Van
- Laboratoire Evolution, Génomes, Comportement Ecologie, CNRS-Université Paris-Sud (UMR 9191)-IRD (UMR 247)-Université Paris-Saclay, F-91198 Gif-sur-Yvette, France
| | - Robert Hubley
- Institute for Systems Biology, 401 Terry Ave. N, Seattle, WA 98109 USA
| | - Aurélie Kapusta
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112 USA
| | - Emmanuelle Lerat
- Laboratoire Biometrie et Biologie Evolutive, Universite Claude Bernard-Lyon 1, UMR-CNRS 5558-Bat. Mendel, 43 bd du 11 novembre 1918, 69622 Villeurbanne cedex, France
| | - Florian Maumus
- INRA, UR1164 URGI-Research Unit in Genomics-Info, INRA de Versailles-Grignon, Route de Saint-Cyr, Versailles, 78026 France
| | - David D Pollock
- University of Colorado School of Medicine, Aurora, CO 80045 USA
| | - Hadi Quesneville
- INRA, UR1164 URGI-Research Unit in Genomics-Info, INRA de Versailles-Grignon, Route de Saint-Cyr, Versailles, 78026 France
| | - Arian Smit
- Institute for Systems Biology, 401 Terry Ave. N, Seattle, WA 98109 USA
| | - Travis J Wheeler
- Department of Computer Science, University of Montana, Missoula, MT 59812 USA
| | - Thomas E Bureau
- Department of Biology, McGill University, Stewart Biology Bldg., 1205 Ave. du Docteur-Penfield, Montréal, Québec H3A 1B1 Canada
| | - Mathieu Blanchette
- School of Computer Science, McGill University, McConnell Engineering Bldg., Rm. 318, 3480 Rue University, Montréal, Québec H3A 0E9 Canada ; McGill Centre for Bioinformatics, McGill University, Montréal, Québec Canada
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1518
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Guo L, Qiu J, Han Z, Ye Z, Chen C, Liu C, Xin X, Ye CY, Wang YY, Xie H, Wang Y, Bao J, Tang S, Xu J, Gui Y, Fu F, Wang W, Zhang X, Zhu Q, Guang X, Wang C, Cui H, Cai D, Ge S, Tuskan GA, Yang X, Qian Q, He SY, Wang J, Zhou XP, Fan L. A host plant genome (Zizania latifolia) after a century-long endophyte infection. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2015; 83:600-609. [PMID: 26072920 DOI: 10.1111/tpj.12912] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 05/26/2015] [Accepted: 06/08/2015] [Indexed: 06/04/2023]
Abstract
Despite the importance of host-microbe interactions in natural ecosystems, agriculture and medicine, the impact of long-term (especially decades or longer) microbial colonization on the dynamics of host genomes is not well understood. The vegetable crop 'Jiaobai' with enlarged edible stems was domesticated from wild Zizania latifolia (Oryzeae) approximately 2000 years ago as a result of persistent infection by a fungal endophyte, Ustilago esculenta. Asexual propagation via infected rhizomes is the only means of Jiaobai production, and the Z. latifolia-endophyte complex has been maintained continuously for two centuries. Here, genomic analysis revealed that cultivated Z. latifolia has a significantly smaller repertoire of immune receptors compared with wild Z. latifolia. There are widespread gene losses/mutations and expression changes in the plant-pathogen interaction pathway in Jiaobai. These results show that continuous long-standing endophyte association can have a major effect on the evolution of the structural and transcriptomic components of the host genome.
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Affiliation(s)
- Longbiao Guo
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310006, China
| | - Jie Qiu
- Department of Agronomy & Zhejiang Key Laboratory of Crop Germplasm Resources, Zhejiang University, Hangzhou, 310058, China
| | | | - Zihong Ye
- College of Life Science, China Jiliang University, Hangzhou, 310018, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Xiufang Xin
- Howard Hughes Medical Institute, Department of Energy Plant Research Laboratory, and Department of Plant Biology, Michigan State University, East Lansing, MI, 48864, USA
| | - Chu-Yu Ye
- Department of Agronomy & Zhejiang Key Laboratory of Crop Germplasm Resources, Zhejiang University, Hangzhou, 310058, China
| | - Ying-Ying Wang
- Department of Agronomy & Zhejiang Key Laboratory of Crop Germplasm Resources, Zhejiang University, Hangzhou, 310058, China
| | | | - Yu Wang
- Department of Agronomy & Zhejiang Key Laboratory of Crop Germplasm Resources, Zhejiang University, Hangzhou, 310058, China
| | - Jiandong Bao
- Department of Agronomy & Zhejiang Key Laboratory of Crop Germplasm Resources, Zhejiang University, Hangzhou, 310058, China
| | - She Tang
- Department of Agronomy & Zhejiang Key Laboratory of Crop Germplasm Resources, Zhejiang University, Hangzhou, 310058, China
| | - Jie Xu
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310006, China
| | - Yijie Gui
- Department of Agronomy & Zhejiang Key Laboratory of Crop Germplasm Resources, Zhejiang University, Hangzhou, 310058, China
| | - Fei Fu
- Department of Agronomy & Zhejiang Key Laboratory of Crop Germplasm Resources, Zhejiang University, Hangzhou, 310058, China
| | - Weidi Wang
- Department of Agronomy & Zhejiang Key Laboratory of Crop Germplasm Resources, Zhejiang University, Hangzhou, 310058, China
| | - Xingchen Zhang
- Department of Agronomy & Zhejiang Key Laboratory of Crop Germplasm Resources, Zhejiang University, Hangzhou, 310058, China
| | | | | | | | - Haifeng Cui
- College of Life Science, China Jiliang University, Hangzhou, 310018, China
| | - Daguang Cai
- Department of Molecular Phytopathology, Christian-Albrechts-University of Kiel, D-24118, Kiel, Germany
| | - Song Ge
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Gerald A Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Xiaohan Yang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Qian Qian
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310006, China
| | - Sheng Yang He
- Howard Hughes Medical Institute, Department of Energy Plant Research Laboratory, and Department of Plant Biology, Michigan State University, East Lansing, MI, 48864, USA
| | - Jun Wang
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Xue-Ping Zhou
- State Key Laboratory of Rice Biology, Zhejiang University, Hangzhou, 310058, China
| | - Longjiang Fan
- Department of Agronomy & Zhejiang Key Laboratory of Crop Germplasm Resources, Zhejiang University, Hangzhou, 310058, China
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1519
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Copetti D, Zhang J, El Baidouri M, Gao D, Wang J, Barghini E, Cossu RM, Angelova A, Maldonado L CE, Roffler S, Ohyanagi H, Wicker T, Fan C, Zuccolo A, Chen M, Costa de Oliveira A, Han B, Henry R, Hsing YI, Kurata N, Wang W, Jackson SA, Panaud O, Wing RA. RiTE database: a resource database for genus-wide rice genomics and evolutionary biology. BMC Genomics 2015; 16:538. [PMID: 26194356 PMCID: PMC4508813 DOI: 10.1186/s12864-015-1762-3] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Accepted: 07/09/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Comparative evolutionary analysis of whole genomes requires not only accurate annotation of gene space, but also proper annotation of the repetitive fraction which is often the largest component of most if not all genomes larger than 50 kb in size. RESULTS Here we present the Rice TE database (RiTE-db)--a genus-wide collection of transposable elements and repeated sequences across 11 diploid species of the genus Oryza and the closely-related out-group Leersia perrieri. The database consists of more than 170,000 entries divided into three main types: (i) a classified and curated set of publicly-available repeated sequences, (ii) a set of consensus assemblies of highly-repetitive sequences obtained from genome sequencing surveys of 12 species; and (iii) a set of full-length TEs, identified and extracted from 12 whole genome assemblies. CONCLUSIONS This is the first report of a repeat dataset that spans the majority of repeat variability within an entire genus, and one that includes complete elements as well as unassembled repeats. The database allows sequence browsing, downloading, and similarity searches. Because of the strategy adopted, the RiTE-db opens a new path to unprecedented direct comparative studies that span the entire nuclear repeat content of 15 million years of Oryza diversity.
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Affiliation(s)
- Dario Copetti
- Arizona Genomics Institute, BIO5 Institute and School of Plant Sciences, University of Arizona, Tucson, AZ, 85721, United States.
- International Rice Research Institute, Genetic Resource Center, Los Baños, Laguna, Philippines.
| | - Jianwei Zhang
- Arizona Genomics Institute, BIO5 Institute and School of Plant Sciences, University of Arizona, Tucson, AZ, 85721, United States.
| | - Moaine El Baidouri
- Laboratoire Génome et Développement des Plantes and CNRS and Laboratoire Génome et Développements des Plantes, Université de Perpignan Via Domitia, UMR CNRS/UPVD 5096, 66860, Perpignan, France.
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, 30602, United States.
| | - Dongying Gao
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, 30602, United States.
| | - Jun Wang
- Department of Biological Sciences, Wayne State University, Detroit, MI, 48202, United States.
| | - Elena Barghini
- Department of Agriculture, Food, and Environment, University of Pisa, 56124, Pisa, Italy.
| | - Rosa M Cossu
- Institute of Life Sciences, Scuola Superiore Sant'Anna, 56127, Pisa, Italy.
| | - Angelina Angelova
- School of Life Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, Scotland.
| | - Carlos E Maldonado L
- Arizona Genomics Institute, BIO5 Institute and School of Plant Sciences, University of Arizona, Tucson, AZ, 85721, United States.
| | - Stefan Roffler
- Institute of Plant Biology, University of Zürich, Zollikerstrasse 107, 8008, Zürich, Switzerland.
| | - Hajime Ohyanagi
- Plant Genetics Laboratory, National Institute of Genetics, Mishima, Shizuoka, 411-8540, Japan.
| | - Thomas Wicker
- Institute of Plant Biology, University of Zürich, Zollikerstrasse 107, 8008, Zürich, Switzerland.
| | - Chuanzhu Fan
- Department of Biological Sciences, Wayne State University, Detroit, MI, 48202, United States.
| | - Andrea Zuccolo
- Institute of Life Sciences, Scuola Superiore Sant'Anna, 56127, Pisa, Italy.
| | - Mingsheng Chen
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology Chinese Academy of Sciences, Beijing, 100101, China.
| | | | - Bin Han
- National Center for Gene Research and Institute of Plant Physiology and Ecology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Beijing, 100029, China.
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD 4072, Australia.
| | - Yue-Ie Hsing
- Institute of Plant and Microbial Biology, Academia Sinica, Nankang, Taipei, 11529, Taiwan.
| | - Nori Kurata
- Plant Genetics Laboratory, National Institute of Genetics, Mishima, Shizuoka, 411-8540, Japan.
| | - Wen Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences and University of Chinese Academy of Sciences, No. 32 Jiaochang Donglu, Kunming, Yunnan, 650223, China.
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, 30602, United States.
| | - Olivier Panaud
- Laboratoire Génome et Développement des Plantes and CNRS and Laboratoire Génome et Développements des Plantes, Université de Perpignan Via Domitia, UMR CNRS/UPVD 5096, 66860, Perpignan, France.
| | - Rod A Wing
- Arizona Genomics Institute, BIO5 Institute and School of Plant Sciences, University of Arizona, Tucson, AZ, 85721, United States.
- International Rice Research Institute, Genetic Resource Center, Los Baños, Laguna, Philippines.
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1520
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Woo YH, Ansari H, Otto TD, Klinger CM, Kolisko M, Michálek J, Saxena A, Shanmugam D, Tayyrov A, Veluchamy A, Ali S, Bernal A, del Campo J, Cihlář J, Flegontov P, Gornik SG, Hajdušková E, Horák A, Janouškovec J, Katris NJ, Mast FD, Miranda-Saavedra D, Mourier T, Naeem R, Nair M, Panigrahi AK, Rawlings ND, Padron-Regalado E, Ramaprasad A, Samad N, Tomčala A, Wilkes J, Neafsey DE, Doerig C, Bowler C, Keeling PJ, Roos DS, Dacks JB, Templeton TJ, Waller RF, Lukeš J, Oborník M, Pain A. Chromerid genomes reveal the evolutionary path from photosynthetic algae to obligate intracellular parasites. eLife 2015; 4:e06974. [PMID: 26175406 PMCID: PMC4501334 DOI: 10.7554/elife.06974] [Citation(s) in RCA: 149] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Accepted: 06/16/2015] [Indexed: 12/18/2022] Open
Abstract
The eukaryotic phylum Apicomplexa encompasses thousands of obligate intracellular parasites of humans and animals with immense socio-economic and health impacts. We sequenced nuclear genomes of Chromera velia and Vitrella brassicaformis, free-living non-parasitic photosynthetic algae closely related to apicomplexans. Proteins from key metabolic pathways and from the endomembrane trafficking systems associated with a free-living lifestyle have been progressively and non-randomly lost during adaptation to parasitism. The free-living ancestor contained a broad repertoire of genes many of which were repurposed for parasitic processes, such as extracellular proteins, components of a motility apparatus, and DNA- and RNA-binding protein families. Based on transcriptome analyses across 36 environmental conditions, Chromera orthologs of apicomplexan invasion-related motility genes were co-regulated with genes encoding the flagellar apparatus, supporting the functional contribution of flagella to the evolution of invasion machinery. This study provides insights into how obligate parasites with diverse life strategies arose from a once free-living phototrophic marine alga. DOI:http://dx.doi.org/10.7554/eLife.06974.001 Single-celled parasites cause many severe diseases in humans and animals. The apicomplexans form probably the most successful group of these parasites and include the parasites that cause malaria. Apicomplexans infect a broad range of hosts, including humans, reptiles, birds, and insects, and often have complicated life cycles. For example, the malaria-causing parasites spread by moving from humans to female mosquitoes and then back to humans. Despite significant differences amongst apicomplexans, these single-celled parasites also share a number of features that are not seen in other living species. How and when these features arose remains unclear. It is known from previous work that apicomplexans are closely related to single-celled algae. But unlike apicomplexans, which depend on a host animal to survive, these algae live freely in their environment, often in close association with corals. Woo et al. have now sequenced the genomes of two photosynthetic algae that are thought to be close living relatives of the apicomplexans. These genomes were then compared to each other and to the genomes of other algae and apicomplexans. These comparisons reconfirmed that the two algae that were studied were close relatives of the apicomplexans. Further analyses suggested that thousands of genes were lost as an ancient free-living algae evolved into the apicomplexan ancestor, and further losses occurred as these early parasites evolved into modern species. The lost genes were typically those that are important for free-living organisms, but are either a hindrance to, or not needed in, a parasitic lifestyle. Some of the ancestor's genes, especially those that coded for the building blocks of flagella (structures which free-living algae use to move around), were repurposed in ways that helped the apicomplexans to invade their hosts. Understanding this repurposing process in greater detail will help to identify key molecules in these deadly parasites that could be targeted by drug treatments. It will also offer answers to one of the most fascinating questions in evolutionary biology: how parasites have evolved from free-living organisms. DOI:http://dx.doi.org/10.7554/eLife.06974.002
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Affiliation(s)
- Yong H Woo
- Pathogen Genomics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Hifzur Ansari
- Pathogen Genomics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Thomas D Otto
- Parasite Genomics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, United Kingdom
| | | | - Martin Kolisko
- Canadian Institute for Advanced Research, Department of Botany, University of British Columbia, Vancouver, Canada
| | - Jan Michálek
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Alka Saxena
- Pathogen Genomics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | | | - Annageldi Tayyrov
- Pathogen Genomics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Alaguraj Veluchamy
- Ecology and Evolutionary Biology Section, Institut de Biologie de l'Ecole Normale Supérieure, CNRS UMR8197 INSERM U1024, Paris, France
| | - Shahjahan Ali
- Bioscience Core Laboratory, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Axel Bernal
- Department of Biology, University of Pennsylvania, Philadelphia, United States
| | - Javier del Campo
- Canadian Institute for Advanced Research, Department of Botany, University of British Columbia, Vancouver, Canada
| | - Jaromír Cihlář
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Pavel Flegontov
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | | | - Eva Hajdušková
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Aleš Horák
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Jan Janouškovec
- Canadian Institute for Advanced Research, Department of Botany, University of British Columbia, Vancouver, Canada
| | | | - Fred D Mast
- Seattle Biomedical Research Institute, Seattle, United States
| | - Diego Miranda-Saavedra
- Centro de Biología Molecular Severo Ochoa, CSIC/Universidad Autónoma de Madrid, Madrid, Spain
| | - Tobias Mourier
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Raeece Naeem
- Pathogen Genomics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Mridul Nair
- Pathogen Genomics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Aswini K Panigrahi
- Bioscience Core Laboratory, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Neil D Rawlings
- European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Eriko Padron-Regalado
- Pathogen Genomics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Abhinay Ramaprasad
- Pathogen Genomics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Nadira Samad
- School of Botany, University of Melbourne, Parkville, Australia
| | - Aleš Tomčala
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Jon Wilkes
- Wellcome Trust Centre For Molecular Parasitology, Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Daniel E Neafsey
- Broad Genome Sequencing and Analysis Program, Broad Institute of MIT and Harvard, Cambridge, United States
| | - Christian Doerig
- Department of Microbiology, Monash University, Clayton, Australia
| | - Chris Bowler
- Ecology and Evolutionary Biology Section, Institut de Biologie de l'Ecole Normale Supérieure, CNRS UMR8197 INSERM U1024, Paris, France
| | - Patrick J Keeling
- Canadian Institute for Advanced Research, Department of Botany, University of British Columbia, Vancouver, Canada
| | - David S Roos
- Department of Biology, University of Pennsylvania, Philadelphia, United States
| | - Joel B Dacks
- Department of Cell Biology, University of Alberta, Edmonton, Canada
| | - Thomas J Templeton
- Department of Microbiology and Immunology, Weill Cornell Medical College, New York, United States
| | - Ross F Waller
- School of Botany, University of Melbourne, Parkville, Australia
| | - Julius Lukeš
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Miroslav Oborník
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Arnab Pain
- Pathogen Genomics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
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1521
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Bao W, Kojima KK, Kohany O. Repbase Update, a database of repetitive elements in eukaryotic genomes. Mob DNA 2015; 6:11. [PMID: 26045719 PMCID: PMC4455052 DOI: 10.1186/s13100-015-0041-9] [Citation(s) in RCA: 1918] [Impact Index Per Article: 191.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2015] [Accepted: 04/17/2015] [Indexed: 02/08/2023] Open
Abstract
Repbase Update (RU) is a database of representative repeat sequences in eukaryotic genomes. Since its first development as a database of human repetitive sequences in 1992, RU has been serving as a well-curated reference database fundamental for almost all eukaryotic genome sequence analyses. Here, we introduce recent updates of RU, focusing on technical issues concerning the submission and updating of Repbase entries and will give short examples of using RU data. RU sincerely invites a broader submission of repeat sequences from the research community.
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Affiliation(s)
- Weidong Bao
- Genetic Information Research Institute, 5150 El Camino Real, Ste B-30, Los Altos, CA 94022 USA
| | - Kenji K Kojima
- Genetic Information Research Institute, 5150 El Camino Real, Ste B-30, Los Altos, CA 94022 USA ; Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Minato-ku, Tokyo Japan ; Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai Minato-ku, Tokyo, 108-8639 Japan
| | - Oleksiy Kohany
- Genetic Information Research Institute, 5150 El Camino Real, Ste B-30, Los Altos, CA 94022 USA
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1522
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Zhang Z, Mao L, Chen H, Bu F, Li G, Sun J, Li S, Sun H, Jiao C, Blakely R, Pan J, Cai R, Luo R, Van de Peer Y, Jacobsen E, Fei Z, Huang S. Genome-Wide Mapping of Structural Variations Reveals a Copy Number Variant That Determines Reproductive Morphology in Cucumber. THE PLANT CELL 2015; 27:1595-604. [PMID: 26002866 PMCID: PMC4498199 DOI: 10.1105/tpc.114.135848] [Citation(s) in RCA: 91] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2014] [Revised: 03/26/2015] [Accepted: 04/30/2015] [Indexed: 05/18/2023]
Abstract
Structural variations (SVs) represent a major source of genetic diversity. However, the functional impact and formation mechanisms of SVs in plant genomes remain largely unexplored. Here, we report a nucleotide-resolution SV map of cucumber (Cucumis sativas) that comprises 26,788 SVs based on deep resequencing of 115 diverse accessions. The largest proportion of cucumber SVs was formed through nonhomologous end-joining rearrangements, and the occurrence of SVs is closely associated with regions of high nucleotide diversity. These SVs affect the coding regions of 1676 genes, some of which are associated with cucumber domestication. Based on the map, we discovered a copy number variation (CNV) involving four genes that defines the Female (F) locus and gives rise to gynoecious cucumber plants, which bear only female flowers and set fruit at almost every node. The CNV arose from a recent 30.2-kb duplication at a meiotically unstable region, likely via microhomology-mediated break-induced replication. The SV set provides a snapshot of structural variations in plants and will serve as an important resource for exploring genes underlying key traits and for facilitating practical breeding in cucumber.
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Affiliation(s)
- Zhonghua Zhang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China
| | - Linyong Mao
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York 14853
| | - Huiming Chen
- Hunan Vegetable Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Fengjiao Bu
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China Agricultural Genomic Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Guangcun Li
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China Shandong Academy of Agricultural Sciences, Jinan 250100, China
| | - Jinjing Sun
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China
| | - Shuai Li
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China
| | - Honghe Sun
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York 14853
| | - Chen Jiao
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York 14853
| | - Rachel Blakely
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York 14853
| | - Junsong Pan
- Shanghai Jiaotong University, Shanghai 200240, China
| | - Run Cai
- Shanghai Jiaotong University, Shanghai 200240, China
| | - Ruibang Luo
- Department of Computer Science, University of Hong Kong, Hong Kong 999077, China
| | - Yves Van de Peer
- Department of Plant Systems Biology, VIB, 9052 Ghent, Belgium Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium Genomics Research Institute, University of Pretoria, Pretoria 0028, South Africa
| | - Evert Jacobsen
- Deparment of Plant Sciences, Laboratory of Plant Breeding, Wageningen University and Research Centre, 6700AA Wageningen, The Netherlands
| | - Zhangjun Fei
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York 14853 USDA-ARS Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853
| | - Sanwen Huang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China Agricultural Genomic Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
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1523
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Tian Y, Zeng Y, Zhang J, Yang C, Yan L, Wang X, Shi C, Xie J, Dai T, Peng L, Zeng Huan Y, Xu A, Huang Y, Zhang J, Ma X, Dong Y, Hao S, Sheng J. High quality reference genome of drumstick tree (Moringa oleifera Lam.), a potential perennial crop. SCIENCE CHINA-LIFE SCIENCES 2015; 58:627-38. [PMID: 26032590 DOI: 10.1007/s11427-015-4872-x] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Accepted: 03/10/2015] [Indexed: 12/18/2022]
Abstract
The drumstick tree (Moringa oleifera Lam.) is a perennial crop that has gained popularity in certain developing countries for its high-nutrition content and adaptability to arid and semi-arid environments. Here we report a high-quality draft genome sequence of M. oleifera. This assembly represents 91.78% of the estimated genome size and contains 19,465 protein-coding genes. Comparative genomic analysis between M. oleifera and related woody plant genomes helps clarify the general evolution of this species, while the identification of several species-specific gene families and positively selected genes in M. oleifera may help identify genes related to M. oleifera's high protein content, fast-growth, heat and stress tolerance. This reference genome greatly extends the basic research on M. oleifera, and may further promote applying genomics to enhanced breeding and improvement of M. oleifera.
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Affiliation(s)
- Yang Tian
- College of Life Sciences, Jilin University, Changchun, 130012, China
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1524
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Garbus I, Romero JR, Valarik M, Vanžurová H, Karafiátová M, Cáccamo M, Doležel J, Tranquilli G, Helguera M, Echenique V. Characterization of repetitive DNA landscape in wheat homeologous group 4 chromosomes. BMC Genomics 2015; 16:375. [PMID: 25962417 PMCID: PMC4440537 DOI: 10.1186/s12864-015-1579-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2015] [Accepted: 04/24/2015] [Indexed: 12/04/2022] Open
Abstract
Background The number and complexity of repetitive elements varies between species, being in general most represented in those with larger genomes. Combining the flow-sorted chromosome arms approach to genome analysis with second generation DNA sequencing technologies provides a unique opportunity to study the repetitive portion of each chromosome, enabling comparisons among them. Additionally, different sequencing approaches may produce different depth of insight to repeatome content and structure. In this work we analyze and characterize the repetitive sequences of Triticum aestivum cv. Chinese Spring homeologous group 4 chromosome arms, obtained through Roche 454 and Illumina sequencing technologies, hereinafter marked by subscripts 454 and I, respectively. Repetitive sequences were identified with the RepeatMasker software using the interspersed repeat database mips-REdat_v9.0p. The input sequences consisted of our 4DS454 and 4DL454 scaffolds and 4ASI, 4ALI, 4BSI, 4BLI, 4DSI and 4DLI contigs, downloaded from the International Wheat Genome Sequencing Consortium (IWGSC). Results Repetitive sequences content varied from 55% to 63% for all chromosome arm assemblies except for 4DLI, in which the repeat content was 38%. Transposable elements, small RNA, satellites, simple repeats and low complexity sequences were analyzed. SSR frequency was found one per 24 to 27 kb for all chromosome assemblies except 4DLI, where it was three times higher. Dinucleotides and trinucleotides were the most abundant SSR repeat units. (GA)n/(TC)n was the most abundant SSR except for 4DLI where the most frequently identified SSR was (CCG/CGG)n. Retrotransposons followed by DNA transposons were the most highly represented sequence repeats, mainly composed of CACTA/En-Spm and Gypsy superfamilies, respectively. This whole chromosome sequence analysis allowed identification of three new LTR retrotransposon families belonging to the Copia superfamily, one belonging to the Gypsy superfamily and two TRIM retrotransposon families. Their physical distribution in wheat genome was analyzed by fluorescent in situ hybridization (FISH) and one of them, the Carmen retrotransposon, was found specific for centromeric regions of all wheat chromosomes. Conclusion The presented work is the first deep report of wheat repetitive sequences analyzed at the chromosome arm level, revealing the first insight into the repeatome of T. aestivum chromosomes of homeologous group 4. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1579-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ingrid Garbus
- CERZOS (CCT - CONICET Bahía Blanca) and Universidad Nacional del Sur, Bahía Blanca, Argentina.
| | - José R Romero
- CERZOS (CCT - CONICET Bahía Blanca) and Universidad Nacional del Sur, Bahía Blanca, Argentina.
| | - Miroslav Valarik
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371, Olomouc, Czech Republic.
| | - Hana Vanžurová
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371, Olomouc, Czech Republic.
| | - Miroslava Karafiátová
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371, Olomouc, Czech Republic.
| | - Mario Cáccamo
- The Genome Analysis Centre (TGAC), Norwich Research Park, Norwich, NR4 7UH, UK.
| | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-78371, Olomouc, Czech Republic.
| | - Gabriela Tranquilli
- Instituto Recursos Biológicos, Instituto Nacional de Tecnología Agropecuaria (INTA), Hurlingham, Buenos Aires, Argentina.
| | - Marcelo Helguera
- Estación Experimental Agropecuaria Marcos Juárez, Instituto Nacional de Tecnología Agropecuaria (INTA), Marcos Juárez, Córdoba, Argentina.
| | - Viviana Echenique
- CERZOS (CCT - CONICET Bahía Blanca) and Universidad Nacional del Sur, Bahía Blanca, Argentina.
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1525
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Soares MA, de Carvalho Araújo RA, Marini MM, de Oliveira LM, de Lima LG, de Souza Alves V, Felipe MSS, Brigido MM, de Almeida Soares CM, da Silveira JF, Ruiz JC, Cisalpino PS. Identification and characterization of expressed retrotransposons in the genome of the Paracoccidioides species complex. BMC Genomics 2015; 16:376. [PMID: 25962381 PMCID: PMC4427930 DOI: 10.1186/s12864-015-1564-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Accepted: 04/23/2015] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Species from the Paracoccidioides complex are thermally dimorphic fungi and the causative agents of paracoccidioidomycosis, a deep fungal infection that is the most prevalent systemic mycosis in Latin America and represents the most important cause of death in immunocompetent individuals with systemic mycosis in Brazil. We previously described the identification of eight new families of DNA transposons in Paracoccidioides genomes. In this work, we aimed to identify potentially active retrotransposons in Paracoccidioides genomes. RESULTS We identified five different retrotransposon families (four LTR-like and one LINE-like element) in the genomes of three Paracoccidioides isolates. Retrotransposons were present in all of the genomes analyzed. P. brasiliensis and P. lutzii species harbored the same retrotransposon lineages but differed in their copy numbers. In the Pb01, Pb03 and Pb18 genomes, the number of LTR retrotransposons was higher than the number of LINE-like elements, and the LINE-like element RtPc5 was transcribed in Paracoccidioides lutzii (Pb01) but could not be detected in P. brasiliensis (Pb03 and Pb18) by semi-quantitative RT-PCR. CONCLUSION Five new potentially active retrotransposons have been identified in the genomic assemblies of the Paracoccidioides species complex using a combined computational and experimental approach. The distribution across the two known species, P. brasiliensis and P. lutzii, and phylogenetics analysis indicate that these elements could have been acquired before speciation occurred. The presence of active retrotransposons in the genome may have implications regarding the evolution and genetic diversification of the Paracoccidioides genus.
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Affiliation(s)
- Marco Aurélio Soares
- Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, MG, Brazil.
| | - Roberta Amália de Carvalho Araújo
- Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, MG, Brazil.
| | - Marjorie Mendes Marini
- Departamento de Microbiologia, Imunologia e Parasitologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, 04023-062, São Paulo, SP, Brazil.
| | - Luciana Márcia de Oliveira
- Programa de Pós-graduação em Bioinformática, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, MG, Brazil. .,Grupo Informática de Biossistemas, Centro de Pesquisas René Rachou, FIOCRUZ-Minas, 30190-002, Belo Horizonte, MG, Brazil.
| | - Leonardo Gomes de Lima
- Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
| | - Viviane de Souza Alves
- Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, MG, Brazil.
| | - Maria Sueli Soares Felipe
- Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade de Brasília, 70910-900, Brasília, DF, Brazil.
| | - Marcelo Macedo Brigido
- Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade de Brasília, 70910-900, Brasília, DF, Brazil.
| | - Celia Maria de Almeida Soares
- Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, 74001-970, Goiânia, GO, Brazil.
| | - Jose Franco da Silveira
- Departamento de Microbiologia, Imunologia e Parasitologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, 04023-062, São Paulo, SP, Brazil.
| | - Jeronimo Conceição Ruiz
- Grupo Informática de Biossistemas, Centro de Pesquisas René Rachou, FIOCRUZ-Minas, 30190-002, Belo Horizonte, MG, Brazil.
| | - Patrícia Silva Cisalpino
- Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, MG, Brazil. .,Programa de Pós-graduação em Bioinformática, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, MG, Brazil.
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1526
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Li F, Fan G, Lu C, Xiao G, Zou C, Kohel RJ, Ma Z, Shang H, Ma X, Wu J, Liang X, Huang G, Percy RG, Liu K, Yang W, Chen W, Du X, Shi C, Yuan Y, Ye W, Liu X, Zhang X, Liu W, Wei H, Wei S, Huang G, Zhang X, Zhu S, Zhang H, Sun F, Wang X, Liang J, Wang J, He Q, Huang L, Wang J, Cui J, Song G, Wang K, Xu X, Yu JZ, Zhu Y, Yu S. Genome sequence of cultivated Upland cotton (Gossypium hirsutum TM-1) provides insights into genome evolution. Nat Biotechnol 2015; 33:524-30. [PMID: 25893780 DOI: 10.1038/nbt.3208] [Citation(s) in RCA: 696] [Impact Index Per Article: 69.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Accepted: 03/15/2015] [Indexed: 12/27/2022]
Abstract
Gossypium hirsutum has proven difficult to sequence owing to its complex allotetraploid (AtDt) genome. Here we produce a draft genome using 181-fold paired-end sequences assisted by fivefold BAC-to-BAC sequences and a high-resolution genetic map. In our assembly 88.5% of the 2,173-Mb scaffolds, which cover 89.6%∼96.7% of the AtDt genome, are anchored and oriented to 26 pseudochromosomes. Comparison of this G. hirsutum AtDt genome with the already sequenced diploid Gossypium arboreum (AA) and Gossypium raimondii (DD) genomes revealed conserved gene order. Repeated sequences account for 67.2% of the AtDt genome, and transposable elements (TEs) originating from Dt seem more active than from At. Reduction in the AtDt genome size occurred after allopolyploidization. The A or At genome may have undergone positive selection for fiber traits. Concerted evolution of different regulatory mechanisms for Cellulose synthase (CesA) and 1-Aminocyclopropane-1-carboxylic acid oxidase1 and 3 (ACO1,3) may be important for enhanced fiber production in G. hirsutum.
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Affiliation(s)
- Fuguang Li
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | | | - Cairui Lu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Guanghui Xiao
- 1] State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, China. [2] Institute for Advanced Studies and College of Life Sciences, Wuhan University, Wuhan, China
| | - Changsong Zou
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Russell J Kohel
- Crop Germplasm Research Unit, Southern Plains Agricultural Research Center, US Department of Agriculture-Agricultural Research Service (USDA-ARS), College Station, Texas, USA
| | - Zhiying Ma
- Key Laboratory for Crop Germplasm Resources of Hebei, Agricultural University of Hebei, Baoding, China
| | - Haihong Shang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Xiongfeng Ma
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Jianyong Wu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | | | - Gai Huang
- 1] State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, China. [2] Institute for Advanced Studies and College of Life Sciences, Wuhan University, Wuhan, China
| | - Richard G Percy
- Crop Germplasm Research Unit, Southern Plains Agricultural Research Center, US Department of Agriculture-Agricultural Research Service (USDA-ARS), College Station, Texas, USA
| | - Kun Liu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Weihua Yang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | | | - Xiongming Du
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | | | - Youlu Yuan
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Wuwei Ye
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Xin Liu
- BGI-Shenzhen, Shenzhen, China
| | - Xueyan Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | | | - Hengling Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Shoujun Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | | | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Shuijin Zhu
- Department of Agronomy, Zhejiang University, Hangzhou, China
| | | | | | - Xingfen Wang
- Key Laboratory for Crop Germplasm Resources of Hebei, Agricultural University of Hebei, Baoding, China
| | | | | | | | | | | | - Jinjie Cui
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Guoli Song
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Kunbo Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, China
| | - John Z Yu
- Crop Germplasm Research Unit, Southern Plains Agricultural Research Center, US Department of Agriculture-Agricultural Research Service (USDA-ARS), College Station, Texas, USA
| | - Yuxian Zhu
- 1] State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, China. [2] Institute for Advanced Studies and College of Life Sciences, Wuhan University, Wuhan, China
| | - Shuxun Yu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
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1527
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Wang Y, Zhou L, Li D, Dai L, Lawton-Rauh A, Srimani PK, Duan Y, Luo F. Genome-wide comparative analysis reveals similar types of NBS genes in hybrid Citrus sinensis genome and original Citrus clementine genome and provides new insights into non-TIR NBS genes. PLoS One 2015; 10:e0121893. [PMID: 25811466 PMCID: PMC4374887 DOI: 10.1371/journal.pone.0121893] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2014] [Accepted: 02/04/2015] [Indexed: 11/19/2022] Open
Abstract
In this study, we identified and compared nucleotide-binding site (NBS) domain-containing genes from three Citrus genomes (C. clementina, C. sinensis from USA and C. sinensis from China). Phylogenetic analysis of all Citrus NBS genes across these three genomes revealed that there are three approximately evenly numbered groups: one group contains the Toll-Interleukin receptor (TIR) domain and two different Non-TIR groups in which most of proteins contain the Coiled Coil (CC) domain. Motif analysis confirmed that the two groups of CC-containing NBS genes are from different evolutionary origins. We partitioned NBS genes into clades using NBS domain sequence distances and found most clades include NBS genes from all three Citrus genomes. This suggests that three Citrus genomes have similar numbers and types of NBS genes. We also mapped the re-sequenced reads of three pomelo and three mandarin genomes onto the C. sinensis genome. We found that most NBS genes of the hybrid C. sinensis genome have corresponding homologous genes in both pomelo and mandarin genomes. The homologous NBS genes in pomelo and mandarin suggest that the parental species of C. sinensis may contain similar types of NBS genes. This explains why the hybrid C. sinensis and original C. clementina have similar types of NBS genes in this study. Furthermore, we found that sequence variation amongst Citrus NBS genes were shaped by multiple independent and shared accelerated mutation accumulation events among different groups of NBS genes and in different Citrus genomes. Our comparative analyses yield valuable insight into the structure, organization and evolution of NBS genes in Citrus genomes. Furthermore, our comprehensive analysis showed that the non-TIR NBS genes can be divided into two groups that come from different evolutionary origins. This provides new insights into non-TIR genes, which have not received much attention.
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Affiliation(s)
- Yunsheng Wang
- College of Plant Protection, Hunan Agricultural University, Changsha, China
- School of Computing, Clemson University, Clemson, South Carolina, United States of America
| | - Lijuan Zhou
- Agricultural Research Service, U.S. Horticultural Research Laboratory, Fort Pierce, Florida, United States of America
| | - Dazhi Li
- National Center for Citrus Improvement, Hunan Agricultural University, Changsha, China
| | - Liangying Dai
- College of Plant Protection, Hunan Agricultural University, Changsha, China
| | - Amy Lawton-Rauh
- Department of Genetics and Biochemistry, Clemson University, Clemson, South Carolina, United States of America
| | - Pradip K. Srimani
- School of Computing, Clemson University, Clemson, South Carolina, United States of America
| | - Yongping Duan
- Agricultural Research Service, U.S. Horticultural Research Laboratory, Fort Pierce, Florida, United States of America
| | - Feng Luo
- School of Computing, Clemson University, Clemson, South Carolina, United States of America
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1528
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Korb J, Poulsen M, Hu H, Li C, Boomsma JJ, Zhang G, Liebig J. A genomic comparison of two termites with different social complexity. Front Genet 2015; 6:9. [PMID: 25788900 PMCID: PMC4348803 DOI: 10.3389/fgene.2015.00009] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Accepted: 01/09/2015] [Indexed: 11/15/2022] Open
Abstract
The termites evolved eusociality and complex societies before the ants, but have been studied much less. The recent publication of the first two termite genomes provides a unique comparative opportunity, particularly because the sequenced termites represent opposite ends of the social complexity spectrum. Zootermopsis nevadensis has simple colonies with totipotent workers that can develop into all castes (dispersing reproductives, nest-inheriting replacement reproductives, and soldiers). In contrast, the fungus-growing termite Macrotermes natalensis belongs to the higher termites and has very large and complex societies with morphologically distinct castes that are life-time sterile. Here we compare key characteristics of genomic architecture, focusing on genes involved in communication, immune defenses, mating biology and symbiosis that were likely important in termite social evolution. We discuss these in relation to what is known about these genes in the ants and outline hypothesis for further testing.
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Affiliation(s)
- Judith Korb
- Department of Evolutionary Biology and Ecology, Institute of Biology I, University of FreiburgFreiburg, Germany
| | - Michael Poulsen
- Section for Ecology and Evolution, Department of Biology, Centre for Social Evolution, University of CopenhagenCopenhagen, Denmark
| | - Haofu Hu
- China National Genebank, BGI-ShenzhenShenzhen, China
| | - Cai Li
- China National Genebank, BGI-ShenzhenShenzhen, China
- Centre for GeoGenetics, Natural History Museum of Denmark, University of CopenhagenCopenhagen, Denmark
| | - Jacobus J. Boomsma
- Section for Ecology and Evolution, Department of Biology, Centre for Social Evolution, University of CopenhagenCopenhagen, Denmark
| | - Guojie Zhang
- Section for Ecology and Evolution, Department of Biology, Centre for Social Evolution, University of CopenhagenCopenhagen, Denmark
- China National Genebank, BGI-ShenzhenShenzhen, China
| | - Jürgen Liebig
- School of Life Sciences, Arizona State UniversityTempe, AZ, USA
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1529
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Wu P, Zhou C, Cheng S, Wu Z, Lu W, Han J, Chen Y, Chen Y, Ni P, Wang Y, Xu X, Huang Y, Song C, Wang Z, Shi N, Zhang X, Fang X, Yang Q, Jiang H, Chen Y, Li M, Wang Y, Chen F, Wang J, Wu G. Integrated genome sequence and linkage map of physic nut (Jatropha curcas L.), a biodiesel plant. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2015; 81:810-21. [PMID: 25603894 DOI: 10.1111/tpj.12761] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2014] [Revised: 12/18/2014] [Accepted: 01/06/2015] [Indexed: 05/08/2023]
Abstract
The family Euphorbiaceae includes some of the most efficient biomass accumulators. Whole genome sequencing and the development of genetic maps of these species are important components in molecular breeding and genetic improvement. Here we report the draft genome of physic nut (Jatropha curcas L.), a biodiesel plant. The assembled genome has a total length of 320.5 Mbp and contains 27,172 putative protein-coding genes. We established a linkage map containing 1208 markers and anchored the genome assembly (81.7%) to this map to produce 11 pseudochromosomes. After gene family clustering, 15,268 families were identified, of which 13,887 existed in the castor bean genome. Analysis of the genome highlighted specific expansion and contraction of a number of gene families during the evolution of this species, including the ribosome-inactivating proteins and oil biosynthesis pathway enzymes. The genomic sequence and linkage map provide a valuable resource not only for fundamental and applied research on physic nut but also for evolutionary and comparative genomics analysis, particularly in the Euphorbiaceae.
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Affiliation(s)
- Pingzhi Wu
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
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1530
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Ma B, Li T, Xiang Z, He N. MnTEdb, a collective resource for mulberry transposable elements. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2015; 2015:bav004. [PMID: 25725060 PMCID: PMC4343074 DOI: 10.1093/database/bav004] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Mulberry has been used as an economically important food crop for the domesticated silkworm for thousands of years, resulting in one of the oldest and well-known plant-herbivore interactions. The genome of Morus notabilis has now been sequenced and there is an opportunity to mine the transposable element (TE) data. To better understand the roles of TEs in structural, functional and evolutionary dynamics of the mulberry genome, a specific, comprehensive and user-friendly web-based database, MnTEdb, was constructed. It was built based on a detailed and accurate identification of all TEs in mulberry. A total of 5925 TEs belonging to 13 superfamilies and 1062 families were deposited in this database. MnTEdb enables users to search, browse and download the mulberry TE sequences. Meanwhile, data mining tools, including BLAST, GetORF, HMMER, Sequence Extractor and JBrowse were also integrated into MnTEdb. MnTEdb will assist researchers to efficiently take advantage of our newly annotated TEs, which facilitate their studies in the origin, amplification and evolution of TEs, as well as the comparative analysis among the different species. Database URL:http://morus.swu.edu.cn/mntedb/
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Affiliation(s)
- Bi Ma
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400715, China
| | - Tian Li
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400715, China
| | - Zhonghuai Xiang
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400715, China
| | - Ningjia He
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400715, China
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1531
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Zhu XQ, Korhonen PK, Cai H, Young ND, Nejsum P, von Samson-Himmelstjerna G, Boag PR, Tan P, Li Q, Min J, Yang Y, Wang X, Fang X, Hall RS, Hofmann A, Sternberg PW, Jex AR, Gasser RB. Genetic blueprint of the zoonotic pathogen Toxocara canis. Nat Commun 2015; 6:6145. [PMID: 25649139 PMCID: PMC4327413 DOI: 10.1038/ncomms7145] [Citation(s) in RCA: 92] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2014] [Accepted: 12/11/2014] [Indexed: 11/09/2022] Open
Abstract
Toxocara canis is a zoonotic parasite of major socioeconomic importance worldwide. In humans, this nematode causes disease (toxocariasis) mainly in the under-privileged communities in developed and developing countries. Although relatively well studied from clinical and epidemiological perspectives, to date, there has been no global investigation of the molecular biology of this parasite. Here we use next-generation sequencing to produce a draft genome and transcriptome of T. canis to support future biological and biotechnological investigations. This genome is 317 Mb in size, has a repeat content of 13.5% and encodes at least 18,596 protein-coding genes. We study transcription in a larval, as well as adult female and male stages, characterize the parasite’s gene-silencing machinery, explore molecules involved in development or host–parasite interactions and predict intervention targets. The draft genome of T. canis should provide a useful resource for future molecular studies of this and other, related parasites. Toxocara canis is a zoonotic parasite of major worldwide socioeconomic importance. Here, the authors sequence the genome and transcriptome of T. canis, and highlight potential mechanisms involved in development and host–parasite interactions that could support the pursuit of new drug interventions.
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Affiliation(s)
- Xing-Quan Zhu
- 1] State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, Gansu Province, China [2] Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Victoria 3010, Australia
| | - Pasi K Korhonen
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Victoria 3010, Australia
| | | | - Neil D Young
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Victoria 3010, Australia
| | - Peter Nejsum
- Department of Veterinary Disease Biology, University of Copenhagen, Copenhagen 2200, Denmark
| | | | - Peter R Boag
- Department of Biochemistry and Molecular Biology, Monash University, Victoria 3800, Australia
| | - Patrick Tan
- 1] Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore 138672, Republic of Singapore [2] Genome Institute of Singapore, 60 Biopolis Street, Singapore 138672, Republic of Singapore
| | | | | | | | | | | | - Ross S Hall
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Victoria 3010, Australia
| | - Andreas Hofmann
- Structural Chemistry Program, Eskitis Institute, Griffith University, Brisbane 4111, Queensland, Australia
| | - Paul W Sternberg
- HHMI, Division of Biology, California Institute of Technology, Pasadena 91125, California, USA
| | - Aaron R Jex
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Victoria 3010, Australia
| | - Robin B Gasser
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Victoria 3010, Australia
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1532
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Staton SE, Burke JM. Transposome: a toolkit for annotation of transposable element families from unassembled sequence reads. ACTA ACUST UNITED AC 2015; 31:1827-9. [PMID: 25644271 DOI: 10.1093/bioinformatics/btv059] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Accepted: 06/26/2015] [Indexed: 11/12/2022]
Abstract
MOTIVATION Transposable elements (TEs) can be found in virtually all eukaryotic genomes and have the potential to produce evolutionary novelty. Despite the broad taxonomic distribution of TEs, the evolutionary history of these sequences is largely unknown for many taxa due to a lack of genomic resources and identification methods. Given that most TE annotation methods are designed to work on genome assemblies, we sought to develop a method to provide a fine-grained classification of TEs from DNA sequence reads. Here, we present a toolkit for the efficient annotation of TE families from low-coverage whole-genome shotgun (WGS) data, enabling the rapid identification of TEs in a large number of taxa. We compared our software, Transposome, with other approaches for annotating repeats from WGS data, and we show that it offers significant improvements in run time and produces more precise estimates of genomic repeat abundance. Transposome may also be used as a general toolkit for working with Next Generation Sequencing (NGS) data, and for constructing custom genome analysis pipelines. AVAILABILITY AND IMPLEMENTATION The source code for Transposome is freely available (http://sestaton.github.io/Transposome), implemented in Perl and is supported on Linux.
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Affiliation(s)
- S Evan Staton
- Department of Genetics and Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | - John M Burke
- Department of Genetics and Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
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1533
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Zeng X, Long H, Wang Z, Zhao S, Tang Y, Huang Z, Wang Y, Xu Q, Mao L, Deng G, Yao X, Li X, Bai L, Yuan H, Pan Z, Liu R, Chen X, WangMu Q, Chen M, Yu L, Liang J, DunZhu D, Zheng Y, Yu S, LuoBu Z, Guang X, Li J, Deng C, Hu W, Chen C, TaBa X, Gao L, Lv X, Abu YB, Fang X, Nevo E, Yu M, Wang J, Tashi N. The draft genome of Tibetan hulless barley reveals adaptive patterns to the high stressful Tibetan Plateau. Proc Natl Acad Sci U S A 2015; 112:1095-100. [PMID: 25583503 PMCID: PMC4313863 DOI: 10.1073/pnas.1423628112] [Citation(s) in RCA: 107] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
The Tibetan hulless barley (Hordeum vulgare L. var. nudum), also called "Qingke" in Chinese and "Ne" in Tibetan, is the staple food for Tibetans and an important livestock feed in the Tibetan Plateau. The diploid nature and adaptation to diverse environments of the highland give it unique resources for genetic research and crop improvement. Here we produced a 3.89-Gb draft assembly of Tibetan hulless barley with 36,151 predicted protein-coding genes. Comparative analyses revealed the divergence times and synteny between barley and other representative Poaceae genomes. The expansion of the gene family related to stress responses was found in Tibetan hulless barley. Resequencing of 10 barley accessions uncovered high levels of genetic variation in Tibetan wild barley and genetic divergence between Tibetan and non-Tibetan barley genomes. Selective sweep analyses demonstrate adaptive correlations of genes under selection with extensive environmental variables. Our results not only construct a genomic framework for crop improvement but also provide evolutionary insights of highland adaptation of Tibetan hulless barley.
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Affiliation(s)
- Xingquan Zeng
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China
| | - Hai Long
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, P. R. China
| | - Zhuo Wang
- BGI-Tech, BGI-Shenzhen, Shenzhen 518083, China
| | | | - Yawei Tang
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China
| | | | - Yulin Wang
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China
| | - Qijun Xu
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China
| | - Likai Mao
- BGI-Tech, BGI-Shenzhen, Shenzhen 518083, China
| | - Guangbing Deng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, P. R. China
| | | | - Xiangfeng Li
- BGI-Tech, BGI-Shenzhen, Shenzhen 518083, China; College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lijun Bai
- BGI-Tech, BGI-Shenzhen, Shenzhen 518083, China
| | - Hongjun Yuan
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China
| | - Zhifen Pan
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, P. R. China
| | - Renjian Liu
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China
| | - Xin Chen
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, P. R. China
| | - QiMei WangMu
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China
| | - Ming Chen
- BGI-Tech, BGI-Shenzhen, Shenzhen 518083, China
| | - Lili Yu
- BGI-Tech, BGI-Shenzhen, Shenzhen 518083, China
| | - Junjun Liang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, P. R. China
| | - DaWa DunZhu
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China
| | - Yuan Zheng
- BGI-Tech, BGI-Shenzhen, Shenzhen 518083, China
| | - Shuiyang Yu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, P. R. China
| | - ZhaXi LuoBu
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China
| | | | - Jiang Li
- BGI-Tech, BGI-Shenzhen, Shenzhen 518083, China
| | - Cao Deng
- BGI-Tech, BGI-Shenzhen, Shenzhen 518083, China
| | - Wushu Hu
- BGI-Tech, BGI-Shenzhen, Shenzhen 518083, China
| | | | - XiongNu TaBa
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China
| | - Liyun Gao
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China
| | - Xiaodan Lv
- BGI-Tech, BGI-Shenzhen, Shenzhen 518083, China
| | - Yuval Ben Abu
- Projects and Physics Section, Sapir Academic College, D.N. Hof Ashkelon 79165, Israel
| | | | - Eviatar Nevo
- Institute of Evolution, University of Haifa, Mount Carmel, Haifa 31905, Israel;
| | - Maoqun Yu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, P. R. China;
| | - Jun Wang
- BGI-Shenzhen, Shenzhen 518083, China; Department of Biology, University of Copenhagen, Copenhagen 2200, Denmark; and Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah 21441, Saudi Arabia
| | - Nyima Tashi
- Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850002, China; Barley Improvement and Yak Breeding Key Laboratory of Tibet Autonomous Region, Lhasa 850002, China;
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1534
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MpSaci is a widespread gypsy-Ty3 retrotransposon highly represented by non-autonomous copies in the Moniliophthora perniciosa genome. Curr Genet 2015; 61:185-202. [DOI: 10.1007/s00294-014-0469-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Revised: 11/21/2014] [Accepted: 12/22/2014] [Indexed: 11/25/2022]
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1535
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Zhang G, Tian Y, Zhang J, Shu L, Yang S, Wang W, Sheng J, Dong Y, Chen W. Hybrid de novo genome assembly of the Chinese herbal plant danshen (Salvia miltiorrhiza Bunge). Gigascience 2015; 4:62. [PMID: 26673920 DOI: 10.5524/100164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Accepted: 12/04/2015] [Indexed: 05/20/2023] Open
Abstract
BACKGROUND Danshen (Salvia miltiorrhiza Bunge), also known as Chinese red sage, is a member of Lamiaceae family. It is valued in traditional Chinese medicine, primarily for the treatment of cardiovascular and cerebrovascular diseases. Because of its pharmacological potential, ongoing research aims to identify novel bioactive compounds in danshen, and their biosynthetic pathways. To date, only expressed sequence tag (EST) and RNA-seq data for this herbal plant are available to the public. We therefore propose that the construction of a reference genome for danshen will help elucidate the biosynthetic pathways of important secondary metabolites, thereby advancing the investigation of novel drugs from this plant. FINDINGS We assembled the highly heterozygous danshen genome with the help of 395 × raw read coverage using Illumina technologies and about 10 × raw read coverage by using single molecular sequencing technology. The final draft genome is approximately 641 Mb, with a contig N50 size of 82.8 kb and a scaffold N50 size of 1.2 Mb. Further analyses predicted 34,598 protein-coding genes and 1,644 unique gene families in the danshen genome. CONCLUSIONS The draft danshen genome will provide a valuable resource for the investigation of novel bioactive compounds in this Chinese herb.
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Affiliation(s)
- Guanghui Zhang
- Yunnan Research Center on Good Agricultural Practice for Dominant Chinese Medicinal Materials, Yunnan Agricultural University, Kunming, 650201 China
| | - Yang Tian
- Key Laboratory of Pu-erh Tea Science, Ministry of Education, Yunnan Agricultural University, Kunming, 650201 China ; College of Life Sciences, Jilin University, Changchun, 130012 China
| | - Jing Zhang
- College of Life Sciences, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Liping Shu
- College of Life Science, Kunming University of Science and Technology, Kunming, 650504 China
| | - Shengchao Yang
- Yunnan Research Center on Good Agricultural Practice for Dominant Chinese Medicinal Materials, Yunnan Agricultural University, Kunming, 650201 China
| | - Wen Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 China
| | - Jun Sheng
- Key Laboratory of Pu-erh Tea Science, Ministry of Education, Yunnan Agricultural University, Kunming, 650201 China
| | - Yang Dong
- College of Life Science, Kunming University of Science and Technology, Kunming, 650504 China ; Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, 650201 China
| | - Wei Chen
- Key Laboratory of Pu-erh Tea Science, Ministry of Education, Yunnan Agricultural University, Kunming, 650201 China ; Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, 650201 China
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1536
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Zhang G, Tian Y, Zhang J, Shu L, Yang S, Wang W, Sheng J, Dong Y, Chen W. Hybrid de novo genome assembly of the Chinese herbal plant danshen (Salvia miltiorrhiza Bunge). Gigascience 2015. [PMID: 26673920 DOI: 10.1186/s13742-015-01043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2023] Open
Abstract
BACKGROUND Danshen (Salvia miltiorrhiza Bunge), also known as Chinese red sage, is a member of Lamiaceae family. It is valued in traditional Chinese medicine, primarily for the treatment of cardiovascular and cerebrovascular diseases. Because of its pharmacological potential, ongoing research aims to identify novel bioactive compounds in danshen, and their biosynthetic pathways. To date, only expressed sequence tag (EST) and RNA-seq data for this herbal plant are available to the public. We therefore propose that the construction of a reference genome for danshen will help elucidate the biosynthetic pathways of important secondary metabolites, thereby advancing the investigation of novel drugs from this plant. FINDINGS We assembled the highly heterozygous danshen genome with the help of 395 × raw read coverage using Illumina technologies and about 10 × raw read coverage by using single molecular sequencing technology. The final draft genome is approximately 641 Mb, with a contig N50 size of 82.8 kb and a scaffold N50 size of 1.2 Mb. Further analyses predicted 34,598 protein-coding genes and 1,644 unique gene families in the danshen genome. CONCLUSIONS The draft danshen genome will provide a valuable resource for the investigation of novel bioactive compounds in this Chinese herb.
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Affiliation(s)
- Guanghui Zhang
- Yunnan Research Center on Good Agricultural Practice for Dominant Chinese Medicinal Materials, Yunnan Agricultural University, Kunming, 650201 China
| | - Yang Tian
- Key Laboratory of Pu-erh Tea Science, Ministry of Education, Yunnan Agricultural University, Kunming, 650201 China ; College of Life Sciences, Jilin University, Changchun, 130012 China
| | - Jing Zhang
- College of Life Sciences, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Liping Shu
- College of Life Science, Kunming University of Science and Technology, Kunming, 650504 China
| | - Shengchao Yang
- Yunnan Research Center on Good Agricultural Practice for Dominant Chinese Medicinal Materials, Yunnan Agricultural University, Kunming, 650201 China
| | - Wen Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 China
| | - Jun Sheng
- Key Laboratory of Pu-erh Tea Science, Ministry of Education, Yunnan Agricultural University, Kunming, 650201 China
| | - Yang Dong
- College of Life Science, Kunming University of Science and Technology, Kunming, 650504 China ; Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, 650201 China
| | - Wei Chen
- Key Laboratory of Pu-erh Tea Science, Ministry of Education, Yunnan Agricultural University, Kunming, 650201 China ; Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, 650201 China
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1537
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Liu H, Yu G, Wei B, Wang Y, Zhang J, Hu Y, Liu Y, Yu G, Zhang H, Huang Y. Identification and Phylogenetic Analysis of a Novel Starch Synthase in Maize. FRONTIERS IN PLANT SCIENCE 2015; 6:1013. [PMID: 26635839 PMCID: PMC4653816 DOI: 10.3389/fpls.2015.01013] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Accepted: 11/02/2015] [Indexed: 05/02/2023]
Abstract
Starch is an important reserve of carbon and energy in plants, providing the majority of calories in the human diet and animal feed. Its synthesis is orchestrated by several key enzymes, and the amount and structure of starch, affecting crop yield and quality, are determined mainly by starch synthase (SS) activity. To date, five SS isoforms, including SSI-IV and Granule Bound Starch Synthase (GBSS) have been identified and their physiological functions have been well characterized. Here, we report the identification of a new SS isoform in maize, designated SSV. By searching sequenced genomes, SSV has been found in all green plants with conserved sequences and gene structures. Our phylogenetic analysis based on 780 base pairs has suggested that SSIV and SSV resulted from a gene duplication event, which may have occurred before the algae formation. An expression profile analysis of SSV in maize has indicated that ZmSSV is mainly transcribed in the kernel and ear leaf during the grain filling stage, which is partly similar to other SS isoforms. Therefore, it is likely that SSV may play an important role in starch biosynthesis. Subsequent analysis of SSV function may facilitate understanding the mechanism of starch granules formation, number and structure.
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Affiliation(s)
- Hanmei Liu
- College of Life Science, Sichuan Agricultural UniversityYa’an, China
| | - Guiling Yu
- College of Life Science, Sichuan Agricultural UniversityYa’an, China
| | - Bin Wei
- Maize Research Institute, Sichuan Agricultural UniversityChengdu, China
| | - Yongbin Wang
- Maize Research Institute, Sichuan Agricultural UniversityChengdu, China
| | - Junjie Zhang
- College of Life Science, Sichuan Agricultural UniversityYa’an, China
| | - Yufeng Hu
- College of Agronomy, Sichuan Agricultural UniversityChengdu, China
| | - Yinghong Liu
- Maize Research Institute, Sichuan Agricultural UniversityChengdu, China
| | - Guowu Yu
- College of Agronomy, Sichuan Agricultural UniversityChengdu, China
| | - Huaiyu Zhang
- College of Life Science, Sichuan Agricultural UniversityYa’an, China
| | - Yubi Huang
- Maize Research Institute, Sichuan Agricultural UniversityChengdu, China
- College of Agronomy, Sichuan Agricultural UniversityChengdu, China
- *Correspondence: Yubi Huang,
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1538
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Abstract
The Genome 10K Project was established in 2009 by a consortium of biologists and genome scientists determined to facilitate the sequencing and analysis of the complete genomes of 10,000 vertebrate species. Since then the number of selected and initiated species has risen from ∼26 to 277 sequenced or ongoing with funding, an approximately tenfold increase in five years. Here we summarize the advances and commitments that have occurred by mid-2014 and outline the achievements and present challenges of reaching the 10,000-species goal. We summarize the status of known vertebrate genome projects, recommend standards for pronouncing a genome as sequenced or completed, and provide our present and future vision of the landscape of Genome 10K. The endeavor is ambitious, bold, expensive, and uncertain, but together the Genome 10K Consortium of Scientists and the worldwide genomics community are moving toward their goal of delivering to the coming generation the gift of genome empowerment for many vertebrate species.
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Affiliation(s)
- Klaus-Peter Koepfli
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, 199034 St. Petersburg, Russian Federation;
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1539
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You X, Bian C, Zan Q, Xu X, Liu X, Chen J, Wang J, Qiu Y, Li W, Zhang X, Sun Y, Chen S, Hong W, Li Y, Cheng S, Fan G, Shi C, Liang J, Tom Tang Y, Yang C, Ruan Z, Bai J, Peng C, Mu Q, Lu J, Fan M, Yang S, Huang Z, Jiang X, Fang X, Zhang G, Zhang Y, Polgar G, Yu H, Li J, Liu Z, Zhang G, Ravi V, Coon SL, Wang J, Yang H, Venkatesh B, Wang J, Shi Q. Mudskipper genomes provide insights into the terrestrial adaptation of amphibious fishes. Nat Commun 2014; 5:5594. [PMID: 25463417 PMCID: PMC4268706 DOI: 10.1038/ncomms6594] [Citation(s) in RCA: 117] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2014] [Accepted: 10/16/2014] [Indexed: 01/18/2023] Open
Abstract
Mudskippers are amphibious fishes that have developed morphological and physiological adaptations to match their unique lifestyles. Here we perform whole-genome sequencing of four representative mudskippers to elucidate the molecular mechanisms underlying these adaptations. We discover an expansion of innate immune system genes in the mudskippers that may provide defence against terrestrial pathogens. Several genes of the ammonia excretion pathway in the gills have experienced positive selection, suggesting their important roles in mudskippers’ tolerance to environmental ammonia. Some vision-related genes are differentially lost or mutated, illustrating genomic changes associated with aerial vision. Transcriptomic analyses of mudskippers exposed to air highlight regulatory pathways that are up- or down-regulated in response to hypoxia. The present study provides a valuable resource for understanding the molecular mechanisms underlying water-to-land transition of vertebrates. Mudskippers are amphibious fishes that have adapted to live on mudflats. Here, the authors sequence the genomes of four different mudskipper species and highlight genetic changes that may have had an evolutionary role in the water-to-land transition of vertebrates.
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Affiliation(s)
- Xinxin You
- 1] Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China [2] BGI-Shenzhen, Shenzhen 518083, China
| | - Chao Bian
- 1] Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China [2] BGI-Shenzhen, Shenzhen 518083, China
| | - Qijie Zan
- Shenzhen Wild Animal Rescue Center, Shenzhen 518040, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Xin Liu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Jieming Chen
- 1] Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China [2] BGI-Shenzhen, Shenzhen 518083, China
| | | | - Ying Qiu
- 1] Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China [2] BGI-Shenzhen, Shenzhen 518083, China
| | - Wujiao Li
- Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China
| | - Xinhui Zhang
- 1] Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China [2] BGI-Shenzhen, Shenzhen 518083, China
| | - Ying Sun
- BGI-Shenzhen, Shenzhen 518083, China
| | - Shixi Chen
- College of Ocean and Earth Science, Xiamen University, Xiamen 361005, China
| | - Wanshu Hong
- College of Ocean and Earth Science, Xiamen University, Xiamen 361005, China
| | | | | | | | | | - Jie Liang
- BGI-Shenzhen, Shenzhen 518083, China
| | | | | | - Zhiqiang Ruan
- 1] Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China [2] BGI-Shenzhen, Shenzhen 518083, China
| | - Jie Bai
- 1] Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China [2] BGI-Shenzhen, Shenzhen 518083, China
| | - Chao Peng
- 1] Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China [2] BGI-Shenzhen, Shenzhen 518083, China
| | - Qian Mu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Jun Lu
- 1] BGI-Shenzhen, Shenzhen 518083, China [2] Shenzhen BGI Fisheries Sci &Tech Co. Ltd, Shenzhen 518083, China
| | - Mingjun Fan
- Center for Fish Genomics, BGI-Wuhan, Wuhan 430075, China
| | - Shuang Yang
- 1] BGI-Shenzhen, Shenzhen 518083, China [2] Center for Fish Genomics, BGI-Wuhan, Wuhan 430075, China
| | | | | | | | | | | | - Gianluca Polgar
- Environmental and Life Sciences Programme, Faculty of Science, Universiti Brunei Darussalam, Jln Tungku Link, BE1410 Brunei Darussalam
| | - Hui Yu
- 1] Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China [2] BGI-Shenzhen, Shenzhen 518083, China
| | - Jia Li
- 1] Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China [2] BGI-Shenzhen, Shenzhen 518083, China
| | - Zhongjian Liu
- Shenzhen Key Laboratory for Orchid Conservation and Utilization of the Orchid Conservation and Research Center of Shenzhen, Shenzhen 518114, China
| | - Guoqiang Zhang
- Shenzhen Key Laboratory for Orchid Conservation and Utilization of the Orchid Conservation and Research Center of Shenzhen, Shenzhen 518114, China
| | - Vydianathan Ravi
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673, Singapore
| | - Steven L Coon
- Molecular Genomics Laboratory, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Jian Wang
- 1] BGI-Shenzhen, Shenzhen 518083, China [2] James D. Watson Institute of Genome Science, Hangzhou 310008, China
| | - Huanming Yang
- 1] BGI-Shenzhen, Shenzhen 518083, China [2] James D. Watson Institute of Genome Science, Hangzhou 310008, China [3] Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Byrappa Venkatesh
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore 138673, Singapore
| | - Jun Wang
- 1] BGI-Shenzhen, Shenzhen 518083, China [2] Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia [3] Department of Biology, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Qiong Shi
- 1] Shenzhen Key Lab of Marine Genomics, State Key Laboratory of Agricultural Genomics, Shenzhen 518083, China [2] BGI-Shenzhen, Shenzhen 518083, China [3] Shenzhen BGI Fisheries Sci &Tech Co. Ltd, Shenzhen 518083, China [4] Center for Fish Genomics, BGI-Wuhan, Wuhan 430075, China
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1540
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Development of Ty1-copia retrotransposon-based SSAP molecular markers for the study of genetic diversity in peach. BIOCHEM SYST ECOL 2014. [DOI: 10.1016/j.bse.2014.08.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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1541
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Barghini E, Natali L, Giordani T, Cossu RM, Scalabrin S, Cattonaro F, Šimková H, Vrána J, Doležel J, Morgante M, Cavallini A. LTR retrotransposon dynamics in the evolution of the olive (Olea europaea) genome. DNA Res 2014; 22:91-100. [PMID: 25428895 PMCID: PMC4379980 DOI: 10.1093/dnares/dsu042] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Improved knowledge of genome composition, especially of its repetitive component, generates important information for both theoretical and applied research. The olive repetitive component is made up of two main classes of sequences: tandem repeats and retrotransposons (REs). In this study, we provide characterization of a sample of 254 unique full-length long terminal repeat (LTR) REs. In the sample, Ty1-Copia elements were more numerous than Ty3-Gypsy elements. Mapping a large set of Illumina whole-genome shotgun reads onto the identified retroelement set revealed that Gypsy elements are more redundant than Copia elements. The insertion time of intact retroelements was estimated based on sister LTR’s divergence. Although some elements inserted relatively recently, the mean insertion age of the isolated retroelements is around 18 million yrs. Gypsy and Copia retroelements showed different waves of transposition, with Gypsy elements especially active between 10 and 25 million yrs ago and nearly inactive in the last 7 million yrs. The occurrence of numerous solo-LTRs related to isolated full-length retroelements was ascertained for two Gypsy elements and one Copia element. Overall, the results reported in this study show that RE activity (both retrotransposition and DNA loss) has impacted the olive genome structure in more ancient times than in other angiosperms.
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Affiliation(s)
- Elena Barghini
- Department of Agricultural, Food, and Environmental Sciences, University of Pisa, Pisa I-56124, Italy
| | - Lucia Natali
- Department of Agricultural, Food, and Environmental Sciences, University of Pisa, Pisa I-56124, Italy
| | - Tommaso Giordani
- Department of Agricultural, Food, and Environmental Sciences, University of Pisa, Pisa I-56124, Italy
| | - Rosa Maria Cossu
- Department of Agricultural, Food, and Environmental Sciences, University of Pisa, Pisa I-56124, Italy Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy
| | | | | | - Hana Šimková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Jan Vrána
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Michele Morgante
- Department of Crop and Environmental Sciences, University of Udine, Udine, Italy Institute of Applied Genomics, Udine, Italy
| | - Andrea Cavallini
- Department of Agricultural, Food, and Environmental Sciences, University of Pisa, Pisa I-56124, Italy
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1542
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Yadav CB, Bonthala VS, Muthamilarasan M, Pandey G, Khan Y, Prasad M. Genome-wide development of transposable elements-based markers in foxtail millet and construction of an integrated database. DNA Res 2014; 22:79-90. [PMID: 25428892 PMCID: PMC4379977 DOI: 10.1093/dnares/dsu039] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Transposable elements (TEs) are major components of plant genome and are reported to play significant roles in functional genome diversity and phenotypic variations. Several TEs are highly polymorphic for insert location in the genome and this facilitates development of TE-based markers for various genotyping purposes. Considering this, a genome-wide analysis was performed in the model plant foxtail millet. A total of 30,706 TEs were identified and classified as DNA transposons (24,386), full-length Copia type (1,038), partial or solo Copia type (10,118), full-length Gypsy type (1,570), partial or solo Gypsy type (23,293) and Long- and Short-Interspersed Nuclear Elements (3,659 and 53, respectively). Further, 20,278 TE-based markers were developed, namely Retrotransposon-Based Insertion Polymorphisms (4,801, ∼24%), Inter-Retrotransposon Amplified Polymorphisms (3,239, ∼16%), Repeat Junction Markers (4,451, ∼22%), Repeat Junction-Junction Markers (329, ∼2%), Insertion-Site-Based Polymorphisms (7,401, ∼36%) and Retrotransposon-Microsatellite Amplified Polymorphisms (57, 0.2%). A total of 134 Repeat Junction Markers were screened in 96 accessions of Setaria italica and 3 wild Setaria accessions of which 30 showed polymorphism. Moreover, an open access database for these developed resources was constructed (Foxtail millet Transposable Elements-based Marker Database; http://59.163.192.83/ltrdb/index.html). Taken together, this study would serve as a valuable resource for large-scale genotyping applications in foxtail millet and related grass species.
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Affiliation(s)
- Chandra Bhan Yadav
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110 067, India
| | - Venkata Suresh Bonthala
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110 067, India
| | | | - Garima Pandey
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110 067, India
| | - Yusuf Khan
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110 067, India
| | - Manoj Prasad
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110 067, India
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1543
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Cai J, Liu X, Vanneste K, Proost S, Tsai WC, Liu KW, Chen LJ, He Y, Xu Q, Bian C, Zheng Z, Sun F, Liu W, Hsiao YY, Pan ZJ, Hsu CC, Yang YP, Hsu YC, Chuang YC, Dievart A, Dufayard JF, Xu X, Wang JY, Wang J, Xiao XJ, Zhao XM, Du R, Zhang GQ, Wang M, Su YY, Xie GC, Liu GH, Li LQ, Huang LQ, Luo YB, Chen HH, Van de Peer Y, Liu ZJ. The genome sequence of the orchid Phalaenopsis equestris. Nat Genet 2014; 47:65-72. [PMID: 25420146 DOI: 10.1038/ng.3149] [Citation(s) in RCA: 292] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2014] [Accepted: 10/29/2014] [Indexed: 12/21/2022]
Abstract
Orchidaceae, renowned for its spectacular flowers and other reproductive and ecological adaptations, is one of the most diverse plant families. Here we present the genome sequence of the tropical epiphytic orchid Phalaenopsis equestris, a frequently used parent species for orchid breeding. P. equestris is the first plant with crassulacean acid metabolism (CAM) for which the genome has been sequenced. Our assembled genome contains 29,431 predicted protein-coding genes. We find that contigs likely to be underassembled, owing to heterozygosity, are enriched for genes that might be involved in self-incompatibility pathways. We find evidence for an orchid-specific paleopolyploidy event that preceded the radiation of most orchid clades, and our results suggest that gene duplication might have contributed to the evolution of CAM photosynthesis in P. equestris. Finally, we find expanded and diversified families of MADS-box C/D-class, B-class AP3 and AGL6-class genes, which might contribute to the highly specialized morphology of orchid flowers.
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Affiliation(s)
- Jing Cai
- 1] Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Center of China and Orchid Conservation and Research Center of Shenzhen, Shenzhen, China. [2] Center for Biotechnology and BioMedicine, Shenzhen Key Laboratory of Gene &Antibody Therapy, State Key Laboratory of Health Science &Technology (prep) and Division of Life &Health Sciences, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China. [3] School of Life Science, Tsinghua University, Beijing, China
| | - Xin Liu
- BGI-Shenzhen, Shenzhen, China
| | - Kevin Vanneste
- 1] Department of Plant Systems Biology, VIB, Ghent, Belgium. [2] Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Sebastian Proost
- 1] Department of Plant Systems Biology, VIB, Ghent, Belgium. [2] Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Wen-Chieh Tsai
- Institute of Tropical Plant Sciences, National Cheng Kung University, Tainan, Taiwan
| | - Ke-Wei Liu
- 1] Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Center of China and Orchid Conservation and Research Center of Shenzhen, Shenzhen, China. [2] Center for Biotechnology and BioMedicine, Shenzhen Key Laboratory of Gene &Antibody Therapy, State Key Laboratory of Health Science &Technology (prep) and Division of Life &Health Sciences, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China. [3] School of Life Science, Tsinghua University, Beijing, China
| | - Li-Jun Chen
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Center of China and Orchid Conservation and Research Center of Shenzhen, Shenzhen, China
| | - Ying He
- 1] Department of Plant Systems Biology, VIB, Ghent, Belgium. [2] Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Qing Xu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | | | | | | | | | - Yu-Yun Hsiao
- Department of Life Sciences, National Cheng Kung University, Tainan, Taiwan
| | - Zhao-Jun Pan
- Department of Life Sciences, National Cheng Kung University, Tainan, Taiwan
| | - Chia-Chi Hsu
- Department of Life Sciences, National Cheng Kung University, Tainan, Taiwan
| | - Ya-Ping Yang
- Department of Life Sciences, National Cheng Kung University, Tainan, Taiwan
| | - Yi-Chin Hsu
- Department of Life Sciences, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Chen Chuang
- Department of Life Sciences, National Cheng Kung University, Tainan, Taiwan
| | - Anne Dievart
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR Amélioration Génétique et Adaptation des Plantes Méditerranéennes et Tropicales (AGAP), Montpellier, France
| | - Jean-Francois Dufayard
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR Amélioration Génétique et Adaptation des Plantes Méditerranéennes et Tropicales (AGAP), Montpellier, France
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, China
| | | | | | - Xin-Ju Xiao
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Center of China and Orchid Conservation and Research Center of Shenzhen, Shenzhen, China
| | | | - Rong Du
- State Forestry Administration, Beijing, China
| | - Guo-Qiang Zhang
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Center of China and Orchid Conservation and Research Center of Shenzhen, Shenzhen, China
| | - Meina Wang
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Center of China and Orchid Conservation and Research Center of Shenzhen, Shenzhen, China
| | - Yong-Yu Su
- College of Forestry, South China Agriculture University, Guangzhou, China
| | - Gao-Chang Xie
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Center of China and Orchid Conservation and Research Center of Shenzhen, Shenzhen, China
| | - Guo-Hui Liu
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Center of China and Orchid Conservation and Research Center of Shenzhen, Shenzhen, China
| | - Li-Qiang Li
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Center of China and Orchid Conservation and Research Center of Shenzhen, Shenzhen, China
| | - Lai-Qiang Huang
- 1] Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Center of China and Orchid Conservation and Research Center of Shenzhen, Shenzhen, China. [2] Center for Biotechnology and BioMedicine, Shenzhen Key Laboratory of Gene &Antibody Therapy, State Key Laboratory of Health Science &Technology (prep) and Division of Life &Health Sciences, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China. [3] School of Life Science, Tsinghua University, Beijing, China. [4] College of Forestry, South China Agriculture University, Guangzhou, China
| | - Yi-Bo Luo
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Hong-Hwa Chen
- 1] Department of Life Sciences, National Cheng Kung University, Tainan, Taiwan. [2] Orchid Research Center, National Cheng Kung University, Tainan, Taiwan
| | - Yves Van de Peer
- 1] Department of Plant Systems Biology, VIB, Ghent, Belgium. [2] Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium. [3] Department of Genetics, Genomics Research Institute, Pretoria, South Africa
| | - Zhong-Jian Liu
- 1] Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Center of China and Orchid Conservation and Research Center of Shenzhen, Shenzhen, China. [2] Center for Biotechnology and BioMedicine, Shenzhen Key Laboratory of Gene &Antibody Therapy, State Key Laboratory of Health Science &Technology (prep) and Division of Life &Health Sciences, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China. [3] College of Forestry, South China Agriculture University, Guangzhou, China
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1544
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Rapid diversification of five Oryza AA genomes associated with rice adaptation. Proc Natl Acad Sci U S A 2014; 111:E4954-62. [PMID: 25368197 DOI: 10.1073/pnas.1418307111] [Citation(s) in RCA: 101] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Comparative genomic analyses among closely related species can greatly enhance our understanding of plant gene and genome evolution. We report de novo-assembled AA-genome sequences for Oryza nivara, Oryza glaberrima, Oryza barthii, Oryza glumaepatula, and Oryza meridionalis. Our analyses reveal massive levels of genomic structural variation, including segmental duplication and rapid gene family turnover, with particularly high instability in defense-related genes. We show, on a genomic scale, how lineage-specific expansion or contraction of gene families has led to their morphological and reproductive diversification, thus enlightening the evolutionary process of speciation and adaptation. Despite strong purifying selective pressures on most Oryza genes, we documented a large number of positively selected genes, especially those genes involved in flower development, reproduction, and resistance-related processes. These diversifying genes are expected to have played key roles in adaptations to their ecological niches in Asia, South America, Africa and Australia. Extensive variation in noncoding RNA gene numbers, function enrichment, and rates of sequence divergence might also help account for the different genetic adaptations of these rice species. Collectively, these resources provide new opportunities for evolutionary genomics, numerous insights into recent speciation, a valuable database of functional variation for crop improvement, and tools for efficient conservation of wild rice germplasm.
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1545
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The complex jujube genome provides insights into fruit tree biology. Nat Commun 2014; 5:5315. [PMID: 25350882 PMCID: PMC4220462 DOI: 10.1038/ncomms6315] [Citation(s) in RCA: 173] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2014] [Accepted: 09/18/2014] [Indexed: 12/20/2022] Open
Abstract
The jujube (Ziziphus jujuba Mill.), a member of family Rhamnaceae, is a major
dry fruit and a traditional herbal medicine for more than one billion people. Here
we present a high-quality sequence for the complex jujube genome, the first genome
sequence of Rhamnaceae, using an integrated strategy. The final assembly spans
437.65 Mb (98.6% of the estimated) with 321.45 Mb anchored to
the 12 pseudo-chromosomes and contains 32,808 genes. The jujube genome has undergone
frequent inter-chromosome fusions and segmental duplications, but no recent
whole-genome duplication. Further analyses of the jujube-specific genes and
transcriptome data from 15 tissues reveal the molecular mechanisms underlying some
specific properties of the jujube. Its high vitamin C content can be attributed to a
unique high level expression of genes involved in both biosynthesis and
regeneration. Our study provides insights into jujube-specific biology and valuable
genomic resources for the improvement of Rhamnaceae plants and other fruit
trees. The jujube is a major dry fruit crop in China and is commonly used for
medicinal purposes. Here the authors sequence the genome and transcriptome of the most
widely cultivated jujube cultivar, Dongzao, and highlight the genetic and molecular
basis of agronomically important jujube traits, such as vitamin C content.
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1546
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Exploring the genes of yerba mate (Ilex paraguariensis A. St.-Hil.) by NGS and de novo transcriptome assembly. PLoS One 2014; 9:e109835. [PMID: 25330175 PMCID: PMC4199719 DOI: 10.1371/journal.pone.0109835] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2014] [Accepted: 08/31/2014] [Indexed: 12/28/2022] Open
Abstract
Yerba mate (Ilex paraguariensis A. St.-Hil.) is an important subtropical tree crop cultivated on 326,000 ha in Argentina, Brazil and Paraguay, with a total yield production of more than 1,000,000 t. Yerba mate presents a strong limitation regarding sequence information. The NCBI GenBank lacks an EST database of yerba mate and depicts only 80 DNA sequences, mostly uncharacterized. In this scenario, in order to elucidate the yerba mate gene landscape by means of NGS, we explored and discovered a vast collection of I. paraguariensis transcripts. Total RNA from I. paraguariensis was sequenced by Illumina HiSeq-2000 obtaining 72,031,388 pair-end 100 bp sequences. High quality reads were de novo assembled into 44,907 transcripts encompassing 40 million bases with an estimated coverage of 180X. Multiple sequence analysis allowed us to predict that yerba mate contains ∼ 32,355 genes and 12,551 gene variants or isoforms. We identified and categorized members of more than 100 metabolic pathways. Overall, we have identified ∼ 1,000 putative transcription factors, genes involved in heat and oxidative stress, pathogen response, as well as disease resistance and hormone response. We have also identified, based in sequence homology searches, novel transcripts related to osmotic, drought, salinity and cold stress, senescence and early flowering. We have also pinpointed several members of the gene silencing pathway, and characterized the silencing effector Argonaute1. We predicted a diverse supply of putative microRNA precursors involved in developmental processes. We present here the first draft of the transcribed genomes of the yerba mate chloroplast and mitochondrion. The putative sequence and predicted structure of the caffeine synthase of yerba mate is presented. Moreover, we provide a collection of over 10,800 SSR accessible to the scientific community interested in yerba mate genetic improvement. This contribution broadly expands the limited knowledge of yerba mate genes, and is presented as the first genomic resource of this important crop.
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1547
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Jiang SY, Ma A, Ramamoorthy R, Ramachandran S. Genome-wide survey on genomic variation, expression divergence, and evolution in two contrasting rice genotypes under high salinity stress. Genome Biol Evol 2014; 5:2032-50. [PMID: 24121498 PMCID: PMC3845633 DOI: 10.1093/gbe/evt152] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Expression profiling is one of the most important tools for dissecting biological functions of genes and the upregulation or downregulation of gene expression is sufficient for recreating phenotypic differences. Expression divergence of genes significantly contributes to phenotypic variations. However, little is known on the molecular basis of expression divergence and evolution among rice genotypes with contrasting phenotypes. In this study, we have implemented an integrative approach using bioinformatics and experimental analyses to provide insights into genomic variation, expression divergence, and evolution between salinity-sensitive rice variety Nipponbare and tolerant rice line Pokkali under normal and high salinity stress conditions. We have detected thousands of differentially expressed genes between these two genotypes and thousands of up- or downregulated genes under high salinity stress. Many genes were first detected with expression evidence using custom microarray analysis. Some gene families were preferentially regulated by high salinity stress and might play key roles in stress-responsive biological processes. Genomic variations in promoter regions resulted from single nucleotide polymorphisms, indels (1–10 bp of insertion/deletion), and structural variations significantly contributed to the expression divergence and regulation. Our data also showed that tandem and segmental duplication, CACTA and hAT elements played roles in the evolution of gene expression divergence and regulation between these two contrasting genotypes under normal or high salinity stress conditions.
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Affiliation(s)
- Shu-Ye Jiang
- Temasek Life Sciences Laboratory, National University of Singapore, Singapore
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1548
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Zhang W, Cao Y, Wang K, Zhao T, Chen J, Pan M, Wang Q, Feng S, Guo W, Zhou B, Zhang T. Identification of centromeric regions on the linkage map of cotton using centromere-related repeats. Genomics 2014; 104:587-93. [PMID: 25238895 DOI: 10.1016/j.ygeno.2014.09.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2014] [Revised: 08/16/2014] [Accepted: 09/07/2014] [Indexed: 12/16/2022]
Abstract
Centromere usually contains high-copy-number retrotransposons and satellite repeats, which are difficult to map, clone and sequence. Currently, very little is known about the centromere in cotton. Here, we sequenced a bacterial artificial chromosome (BAC) mapping to the centromeric region and predicted four long-terminal-repeat (LTR) retrotransposons. They were located in the heterochromatic centromeric regions of all 52 pachytene chromosomes in Gossypium hirsutum. Fiber-FISH mapping revealed that these retrotransposons span an area of at least 1.8Mb in the centromeric region. Comparative analysis showed that these retrotransposons generated similar, strong fluorescent signals in the D progenitor Gossypium raimondii but not in the A progenitor Gossypium herbaceum, suggesting that the centromere sequence of tetraploid cotton might be derived from the D progenitor. Centromeric regions were anchored on 13 chromosomes of D-genome sequence. Characterization of these centromere-related repeats and regions will enhance cotton centromere mapping, sequencing and evolutionary studies.
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Affiliation(s)
- Wenpan Zhang
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China
| | - Yujie Cao
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China
| | - Kai Wang
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China
| | - Ting Zhao
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China
| | - Jiedan Chen
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China
| | - Mengqiao Pan
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China
| | - Qiong Wang
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China
| | - Shouli Feng
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China
| | - Wangzhen Guo
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China
| | - Baoliang Zhou
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China.
| | - Tianzhen Zhang
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China.
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1549
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Ahola V, Lehtonen R, Somervuo P, Salmela L, Koskinen P, Rastas P, Välimäki N, Paulin L, Kvist J, Wahlberg N, Tanskanen J, Hornett EA, Ferguson LC, Luo S, Cao Z, de Jong MA, Duplouy A, Smolander OP, Vogel H, McCoy RC, Qian K, Chong WS, Zhang Q, Ahmad F, Haukka JK, Joshi A, Salojärvi J, Wheat CW, Grosse-Wilde E, Hughes D, Katainen R, Pitkänen E, Ylinen J, Waterhouse RM, Turunen M, Vähärautio A, Ojanen SP, Schulman AH, Taipale M, Lawson D, Ukkonen E, Mäkinen V, Goldsmith MR, Holm L, Auvinen P, Frilander MJ, Hanski I. The Glanville fritillary genome retains an ancient karyotype and reveals selective chromosomal fusions in Lepidoptera. Nat Commun 2014; 5:4737. [PMID: 25189940 PMCID: PMC4164777 DOI: 10.1038/ncomms5737] [Citation(s) in RCA: 158] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2014] [Accepted: 07/17/2014] [Indexed: 12/30/2022] Open
Abstract
Previous studies have reported that chromosome synteny in Lepidoptera has been well conserved, yet the number of haploid chromosomes varies widely from 5 to 223. Here we report the genome (393 Mb) of the Glanville fritillary butterfly (Melitaea cinxia; Nymphalidae), a widely recognized model species in metapopulation biology and eco-evolutionary research, which has the putative ancestral karyotype of n=31. Using a phylogenetic analyses of Nymphalidae and of other Lepidoptera, combined with orthologue-level comparisons of chromosomes, we conclude that the ancestral lepidopteran karyotype has been n=31 for at least 140 My. We show that fusion chromosomes have retained the ancestral chromosome segments and very few rearrangements have occurred across the fusion sites. The same, shortest ancestral chromosomes have independently participated in fusion events in species with smaller karyotypes. The short chromosomes have higher rearrangement rate than long ones. These characteristics highlight distinctive features of the evolutionary dynamics of butterflies and moths. Butterflies and moths (Lepidoptera) vary in chromosome number. Here, the authors sequence the genome of the Glanville fritillary butterfly, Melitaea cinxia, show it has the ancestral lepidopteran karyotype and provide insight into how chromosomal fusions have shaped karyotype evolution in butterflies and moths.
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Affiliation(s)
- Virpi Ahola
- 1] Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland [2]
| | - Rainer Lehtonen
- 1] Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland [2] Genome-Scale Biology Research Program, University of Helsinki, FI-00014 Helsinki, Finland [3] Institute of Biomedicine, University of Helsinki, FI-00014 Helsinki, Finland [4] Center of Excellence in Cancer Genetics, University of Helsinki, FI-00014 Helsinki, Finland [5] [6]
| | - Panu Somervuo
- 1] Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland [2] Institute of Biotechnology, University of Helsinki, FI-00014 Helsinki, Finland [3]
| | - Leena Salmela
- Department of Computer Science &Helsinki Institute for Information Technology HIIT, University of Helsinki, FI-00014 Helsinki, Finland
| | - Patrik Koskinen
- 1] Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland [2] Institute of Biotechnology, University of Helsinki, FI-00014 Helsinki, Finland
| | - Pasi Rastas
- Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland
| | - Niko Välimäki
- 1] Genome-Scale Biology Research Program, University of Helsinki, FI-00014 Helsinki, Finland [2] Institute of Biomedicine, University of Helsinki, FI-00014 Helsinki, Finland
| | - Lars Paulin
- Institute of Biotechnology, University of Helsinki, FI-00014 Helsinki, Finland
| | - Jouni Kvist
- Institute of Biotechnology, University of Helsinki, FI-00014 Helsinki, Finland
| | - Niklas Wahlberg
- Department of Biology, University of Turku, FI-20014 Turku, Finland
| | - Jaakko Tanskanen
- 1] Institute of Biotechnology, University of Helsinki, FI-00014 Helsinki, Finland [2] Biotechnology and Food Research, MTT Agrifood Research Finland, FI-31600 Jokioinen, Finland
| | - Emily A Hornett
- 1] Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK [2] Department of Biology, Pennsylvania State University, Pennsylvania 16802, USA
| | | | - Shiqi Luo
- College of Life Sciences, Peking University, Beijing 100871, P.R. China
| | - Zijuan Cao
- College of Life Sciences, Peking University, Beijing 100871, P.R. China
| | - Maaike A de Jong
- 1] Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland [2] School of Biological Sciences, University of Bristol, Bristol BS8 1UG, UK
| | - Anne Duplouy
- Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland
| | | | - Heiko Vogel
- Department of Entomology, Max Planck Institute for Chemical Ecology, D-07745 Jena, Germany
| | - Rajiv C McCoy
- Department of Biology, Stanford University, Stanford, California 94305, USA
| | - Kui Qian
- Institute of Biotechnology, University of Helsinki, FI-00014 Helsinki, Finland
| | - Wong Swee Chong
- Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland
| | - Qin Zhang
- BioMediTech, University of Tampere, FI-33520 Tampere, Finland
| | - Freed Ahmad
- Department of Information Technology, University of Turku, FI-20014 Turku, Finland
| | - Jani K Haukka
- BioMediTech, University of Tampere, FI-33520 Tampere, Finland
| | - Aruj Joshi
- BioMediTech, University of Tampere, FI-33520 Tampere, Finland
| | - Jarkko Salojärvi
- Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland
| | | | - Ewald Grosse-Wilde
- Department of Evolutionary Neuroethology, Max Planck Institute for Chemical Ecology, D-07745 Jena, Germany
| | - Daniel Hughes
- 1] European Bioinformatics Institute, Hinxton CB10 1SD, UK [2] Baylor College of Medicine, Human Genome Sequencing Center, Houston, Texas 77030-3411, USA
| | - Riku Katainen
- 1] Genome-Scale Biology Research Program, University of Helsinki, FI-00014 Helsinki, Finland [2] Institute of Biomedicine, University of Helsinki, FI-00014 Helsinki, Finland
| | - Esa Pitkänen
- 1] Genome-Scale Biology Research Program, University of Helsinki, FI-00014 Helsinki, Finland [2] Institute of Biomedicine, University of Helsinki, FI-00014 Helsinki, Finland
| | - Johannes Ylinen
- Department of Computer Science &Helsinki Institute for Information Technology HIIT, University of Helsinki, FI-00014 Helsinki, Finland
| | - Robert M Waterhouse
- 1] Department of Genetic Medicine and Development, University of Geneva Medical School &Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland [2] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA [3] The Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Mikko Turunen
- Genome-Scale Biology Research Program, University of Helsinki, FI-00014 Helsinki, Finland
| | - Anna Vähärautio
- 1] Genome-Scale Biology Research Program, University of Helsinki, FI-00014 Helsinki, Finland [2] Department of Pathology, University of Helsinki, FI-00014 Helsinki, Finland [3] Science for Life Laboratory, Department of Biosciences and Nutrition, Karolinska Institutet, SE-14183 Stockholm, Sweden
| | - Sami P Ojanen
- Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland
| | - Alan H Schulman
- 1] Institute of Biotechnology, University of Helsinki, FI-00014 Helsinki, Finland [2] Biotechnology and Food Research, MTT Agrifood Research Finland, FI-31600 Jokioinen, Finland
| | - Minna Taipale
- 1] Genome-Scale Biology Research Program, University of Helsinki, FI-00014 Helsinki, Finland [2] Science for Life Laboratory, Department of Biosciences and Nutrition, Karolinska Institutet, SE-14183 Stockholm, Sweden
| | - Daniel Lawson
- European Bioinformatics Institute, Hinxton CB10 1SD, UK
| | - Esko Ukkonen
- Department of Computer Science &Helsinki Institute for Information Technology HIIT, University of Helsinki, FI-00014 Helsinki, Finland
| | - Veli Mäkinen
- Department of Computer Science &Helsinki Institute for Information Technology HIIT, University of Helsinki, FI-00014 Helsinki, Finland
| | - Marian R Goldsmith
- Department of Biological Sciences, University of Rhode Island, Kingston, Rhode Island 02881-0816, USA
| | - Liisa Holm
- 1] Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland [2] Institute of Biotechnology, University of Helsinki, FI-00014 Helsinki, Finland [3]
| | - Petri Auvinen
- 1] Institute of Biotechnology, University of Helsinki, FI-00014 Helsinki, Finland [2]
| | - Mikko J Frilander
- 1] Institute of Biotechnology, University of Helsinki, FI-00014 Helsinki, Finland [2]
| | - Ilkka Hanski
- Department of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland
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1550
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Chalhoub B, Denoeud F, Liu S, Parkin IAP, Tang H, Wang X, Chiquet J, Belcram H, Tong C, Samans B, Corréa M, Da Silva C, Just J, Falentin C, Koh CS, Le Clainche I, Bernard M, Bento P, Noel B, Labadie K, Alberti A, Charles M, Arnaud D, Guo H, Daviaud C, Alamery S, Jabbari K, Zhao M, Edger PP, Chelaifa H, Tack D, Lassalle G, Mestiri I, Schnel N, Le Paslier MC, Fan G, Renault V, Bayer PE, Golicz AA, Manoli S, Lee TH, Thi VHD, Chalabi S, Hu Q, Fan C, Tollenaere R, Lu Y, Battail C, Shen J, Sidebottom CHD, Wang X, Canaguier A, Chauveau A, Bérard A, Deniot G, Guan M, Liu Z, Sun F, Lim YP, Lyons E, Town CD, Bancroft I, Wang X, Meng J, Ma J, Pires JC, King GJ, Brunel D, Delourme R, Renard M, Aury JM, Adams KL, Batley J, Snowdon RJ, Tost J, Edwards D, Zhou Y, Hua W, Sharpe AG, Paterson AH, Guan C, Wincker P. Plant genetics. Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science 2014; 345:950-3. [PMID: 25146293 DOI: 10.1126/science.1253435] [Citation(s) in RCA: 1506] [Impact Index Per Article: 136.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Oilseed rape (Brassica napus L.) was formed ~7500 years ago by hybridization between B. rapa and B. oleracea, followed by chromosome doubling, a process known as allopolyploidy. Together with more ancient polyploidizations, this conferred an aggregate 72× genome multiplication since the origin of angiosperms and high gene content. We examined the B. napus genome and the consequences of its recent duplication. The constituent An and Cn subgenomes are engaged in subtle structural, functional, and epigenetic cross-talk, with abundant homeologous exchanges. Incipient gene loss and expression divergence have begun. Selection in B. napus oilseed types has accelerated the loss of glucosinolate genes, while preserving expansion of oil biosynthesis genes. These processes provide insights into allopolyploid evolution and its relationship with crop domestication and improvement.
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Affiliation(s)
- Boulos Chalhoub
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France.
| | - France Denoeud
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France. Université d'Evry Val d'Essone, UMR 8030, CP5706, Evry, France. Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France
| | - Shengyi Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Isobel A P Parkin
- Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK S7N 0X2, Canada.
| | - Haibao Tang
- J. Craig Venter Institute, Rockville, MD 20850, USA. Center for Genomics and Biotechnology, Fujian Agriculture and Forestry, University, Fuzhou 350002, Fujian Province, China
| | - Xiyin Wang
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA. Center of Genomics and Computational Biology, School of Life Sciences, Hebei United University, Tangshan, Hebei 063000, China
| | - Julien Chiquet
- Laboratoire de Mathématiques et Modélisation d'Evry-UMR 8071 CNRS/Université d'Evry val d'Essonne-USC INRA, Evry, France
| | - Harry Belcram
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Chaobo Tong
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Birgit Samans
- Department of Plant Breeding, Research Center for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Margot Corréa
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Corinne Da Silva
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Jérémy Just
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Cyril Falentin
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Chu Shin Koh
- National Research Council Canada, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada
| | - Isabelle Le Clainche
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Maria Bernard
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Pascal Bento
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Benjamin Noel
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Karine Labadie
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Adriana Alberti
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Mathieu Charles
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Dominique Arnaud
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Hui Guo
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA
| | - Christian Daviaud
- Laboratory for Epigenetics and Environment, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91000 Evry, France
| | - Salman Alamery
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Kamel Jabbari
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France. Cologne Center for Genomics, University of Cologne, Weyertal 115b, 50931 Köln, Germany
| | - Meixia Zhao
- Department of Agronomy, Purdue University, WSLR Building B018, West Lafayette, IN 47907, USA
| | - Patrick P Edger
- Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA
| | - Houda Chelaifa
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - David Tack
- Department of Botany, University of British Columbia, Vancouver, BC, Canada
| | - Gilles Lassalle
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Imen Mestiri
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Nicolas Schnel
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Marie-Christine Le Paslier
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Guangyi Fan
- Beijing Genome Institute-Shenzhen, Shenzhen 518083, China
| | - Victor Renault
- Fondation Jean Dausset-Centre d'Étude du Polymorphisme Humain, 27 rue Juliette Dodu, 75010 Paris, France
| | - Philippe E Bayer
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Agnieszka A Golicz
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Sahana Manoli
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Tae-Ho Lee
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA
| | - Vinh Ha Dinh Thi
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Smahane Chalabi
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Qiong Hu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Chuchuan Fan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Reece Tollenaere
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Yunhai Lu
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Christophe Battail
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Jinxiong Shen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | | | - Xinfa Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Aurélie Canaguier
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Aurélie Chauveau
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Aurélie Bérard
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Gwenaëlle Deniot
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Mei Guan
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Zhongsong Liu
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Fengming Sun
- Beijing Genome Institute-Shenzhen, Shenzhen 518083, China
| | - Yong Pyo Lim
- Molecular Genetics and Genomics Laboratory, Department of Horticulture, Chungnam National University, Daejeon-305764, South Korea
| | - Eric Lyons
- School of Plant Sciences, iPlant Collaborative, University of Arizona, Tucson, AZ, USA
| | | | - Ian Bancroft
- Department of Biology, University of York, Wentworth Way, Heslington, York YO10 5DD, UK
| | - Xiaowu Wang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jinling Meng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Jianxin Ma
- Department of Agronomy, Purdue University, WSLR Building B018, West Lafayette, IN 47907, USA
| | - J Chris Pires
- Division of Biological Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Graham J King
- Southern Cross Plant Science, Southern Cross University, Lismore, NSW 2480, Australia
| | - Dominique Brunel
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Régine Delourme
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Michel Renard
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Jean-Marc Aury
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Keith L Adams
- Department of Botany, University of British Columbia, Vancouver, BC, Canada
| | - Jacqueline Batley
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia. School of Plant Biology, University of Western Australia, WA 6009, Australia
| | - Rod J Snowdon
- Department of Plant Breeding, Research Center for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Jorg Tost
- Laboratory for Epigenetics and Environment, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91000 Evry, France
| | - David Edwards
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia. School of Plant Biology, University of Western Australia, WA 6009, Australia.
| | - Yongming Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
| | - Wei Hua
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
| | - Andrew G Sharpe
- National Research Council Canada, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada.
| | - Andrew H Paterson
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA.
| | - Chunyun Guan
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China.
| | - Patrick Wincker
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France. Université d'Evry Val d'Essone, UMR 8030, CP5706, Evry, France. Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France.
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