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Hu R, Li X, Hu Y, Zhang R, Lv Q, Zhang M, Sheng X, Zhao F, Chen Z, Ding Y, Yuan H, Wu X, Xing S, Yan X, Bao F, Wan P, Xiao L, Wang X, Xiao W, Decker EL, van Gessel N, Renault H, Wiedemann G, Horst NA, Haas FB, Wilhelmsson PKI, Ullrich KK, Neumann E, Lv B, Liang C, Du H, Lu H, Gao Q, Cheng Z, You H, Xin P, Chu J, Huang CH, Liu Y, Dong S, Zhang L, Chen F, Deng L, Duan F, Zhao W, Li K, Li Z, Li X, Cui H, Zhang YE, Ma C, Zhu R, Jia Y, Wang M, Hasebe M, Fu J, Goffinet B, Ma H, Rensing SA, Reski R, He Y. Adaptive evolution of the enigmatic Takakia now facing climate change in Tibet. Cell 2023; 186:3558-3576.e17. [PMID: 37562403 DOI: 10.1016/j.cell.2023.07.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 03/23/2023] [Accepted: 07/03/2023] [Indexed: 08/12/2023]
Abstract
The most extreme environments are the most vulnerable to transformation under a rapidly changing climate. These ecosystems harbor some of the most specialized species, which will likely suffer the highest extinction rates. We document the steepest temperature increase (2010-2021) on record at altitudes of above 4,000 m, triggering a decline of the relictual and highly adapted moss Takakia lepidozioides. Its de-novo-sequenced genome with 27,467 protein-coding genes includes distinct adaptations to abiotic stresses and comprises the largest number of fast-evolving genes under positive selection. The uplift of the study site in the last 65 million years has resulted in life-threatening UV-B radiation and drastically reduced temperatures, and we detected several of the molecular adaptations of Takakia to these environmental changes. Surprisingly, specific morphological features likely occurred earlier than 165 mya in much warmer environments. Following nearly 400 million years of evolution and resilience, this species is now facing extinction.
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Affiliation(s)
- Ruoyang Hu
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China; State Key Laboratory of Resource Insects, Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xuedong Li
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Yong Hu
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Runjie Zhang
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Qiang Lv
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Min Zhang
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Xianyong Sheng
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Feng Zhao
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Zhijia Chen
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Yuhan Ding
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Huan Yuan
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Xiaofeng Wu
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Shuang Xing
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Xiaoyu Yan
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Fang Bao
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Ping Wan
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Lihong Xiao
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, Zhejiang 311300, China
| | - Xiaoqin Wang
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Wei Xiao
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China
| | - Eva L Decker
- Plant Biotechnology, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
| | - Nico van Gessel
- Plant Biotechnology, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
| | - Hugues Renault
- Plant Biotechnology, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany; Institut de Biologie Moléculaire des Plantes (IBMP), CNRS, University of Strasbourg, 67084 Strasbourg, France
| | - Gertrud Wiedemann
- Plant Biotechnology, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany; Inselspital, University of Bern, 3010 Bern, Switzerland
| | - Nelly A Horst
- Plant Biotechnology, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany; MetaSystems Hard & Software GmbH, 68804 Altlussheim, Germany
| | - Fabian B Haas
- Department of Biology, University of Marburg, 35043 Marburg, Germany
| | | | - Kristian K Ullrich
- Department of Biology, University of Marburg, 35043 Marburg, Germany; Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, 24306 Plön, Germany
| | - Eva Neumann
- Department of Biology, University of Marburg, 35043 Marburg, Germany
| | - Bin Lv
- Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada; Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan 610041, China
| | - Chengzhi Liang
- National Centre for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huilong Du
- National Centre for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; School of Life Sciences, Institute of Life Sciences and Green Development, Hebei University, Baoding, Hebei 071002, China
| | - Hongwei Lu
- National Centre for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Qiang Gao
- National Centre for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; Genomics and Genetic Engineering Laboratory of Ornamental Plants, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Zhukuan Cheng
- National Centre for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Hanli You
- National Centre for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Peiyong Xin
- National Centre for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jinfang Chu
- National Centre for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chien-Hsun Huang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center of Genetics and Development, Ministry of Education Key Laboratory of Biodiversity and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai 200433, China; Key Laboratory of Forage and Endemic Crop Biology, Ministry of Education, School of Life Sciences, Inner Mongolia University, Hohhot 010031, China
| | - Yang Liu
- Department of Ecology and Evolutionary Biology, University of Connecticut, Unit 3043, Storrs, CT 06269, USA; Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, Guangdong 518004, China; State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, Guangdong 518085, China
| | - Shanshan Dong
- Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, Guangdong 518004, China
| | - Liangsheng Zhang
- Genomics and Genetic Engineering Laboratory of Ornamental Plants, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Fei Chen
- Sanya Nanfan Research Institute from Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, Hainan 572025, China
| | - Lei Deng
- College of Resource Environment and Tourism, CNU, Beijing 100048, China
| | - Fuzhou Duan
- College of Resource Environment and Tourism, CNU, Beijing 100048, China
| | - Wenji Zhao
- College of Resource Environment and Tourism, CNU, Beijing 100048, China
| | - Kai Li
- Department of Chemistry, CNU, Beijing 100048, China
| | - Zhongfeng Li
- Department of Chemistry, CNU, Beijing 100048, China
| | - Xingru Li
- Department of Chemistry, CNU, Beijing 100048, China
| | - Hengjian Cui
- School of Mathematical Sciences, CNU, Beijing 100048, China
| | - Yong E Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Chuan Ma
- State Key Laboratory of Resource Insects, Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ruiliang Zhu
- Department of Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Yu Jia
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Meizhi Wang
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Mitsuyasu Hasebe
- Division of Evolutionary Biology, National Institute for Basic Biology, Okazaki, Aichi 444-8585, Japan; Department of Basic Biology, The Graduate School for Advanced Studies (SOKENDAI), Okazaki 444-8585, Japan
| | - Jinzhong Fu
- Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Bernard Goffinet
- Department of Ecology and Evolutionary Biology, University of Connecticut, Unit 3043, Storrs, CT 06269, USA
| | - Hong Ma
- Department of Biology, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Stefan A Rensing
- Department of Biology, University of Marburg, 35043 Marburg, Germany; Faculty of Chemistry and Pharmacy, University of Freiburg, 79104 Freiburg, Germany
| | - Ralf Reski
- Plant Biotechnology, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany; Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104 Freiburg, Germany.
| | - Yikun He
- Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, College of Life Sciences, Capital Normal University (CNU), Beijing 100048, China.
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2
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Argentin J, Bolser D, Kersey PJ, Flicek P. Comparative analysis of repeat content in plant genomes, large and small. FRONTIERS IN PLANT SCIENCE 2023; 14:1103035. [PMID: 37521909 PMCID: PMC10376685 DOI: 10.3389/fpls.2023.1103035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 06/14/2023] [Indexed: 08/01/2023]
Abstract
The DNA Features pipeline is the analysis pipeline at EMBL-EBI that annotates repeat elements, including transposable elements. With Ensembl's goal to stay at the cutting edge of genome annotation, we proved that this pipeline needed an update. We then created a new analysis that allowed the Ensembl database to store the repeat classification from the PGSB repeat classification (Recat). This new dataset was then fetched using Perl scripts and used to prove that the pipeline modification induced a gain in sensitivity. Finally, we performed a comparative analysis of transposable element distribution in all plant species available, raising new questions about transposable elements in certain branches of the taxonomic tree.
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Affiliation(s)
- Joris Argentin
- Institut de Biologie en Santé, Centre Hospitalier Universitaire (CHU) d’Angers, Angers, France
| | - Dan Bolser
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
| | - Paul J. Kersey
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
- Digital Revolution, Royal Botanic Gardens, Kew, Richmond, United Kingdom
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
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3
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He Q, Tang S, Zhi H, Chen J, Zhang J, Liang H, Alam O, Li H, Zhang H, Xing L, Li X, Zhang W, Wang H, Shi J, Du H, Wu H, Wang L, Yang P, Xing L, Yan H, Song Z, Liu J, Wang H, Tian X, Qiao Z, Feng G, Guo R, Zhu W, Ren Y, Hao H, Li M, Zhang A, Guo E, Yan F, Li Q, Liu Y, Tian B, Zhao X, Jia R, Feng B, Zhang J, Wei J, Lai J, Jia G, Purugganan M, Diao X. A graph-based genome and pan-genome variation of the model plant Setaria. Nat Genet 2023:10.1038/s41588-023-01423-w. [PMID: 37291196 DOI: 10.1038/s41588-023-01423-w] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 05/08/2023] [Indexed: 06/10/2023]
Abstract
Setaria italica (foxtail millet), a founder crop of East Asian agriculture, is a model plant for C4 photosynthesis and developing approaches to adaptive breeding across multiple climates. Here we established the Setaria pan-genome by assembling 110 representative genomes from a worldwide collection. The pan-genome is composed of 73,528 gene families, of which 23.8%, 42.9%, 29.4% and 3.9% are core, soft core, dispensable and private genes, respectively; 202,884 nonredundant structural variants were also detected. The characterization of pan-genomic variants suggests their importance during foxtail millet domestication and improvement, as exemplified by the identification of the yield gene SiGW3, where a 366-bp presence/absence promoter variant accompanies gene expression variation. We developed a graph-based genome and performed large-scale genetic studies for 68 traits across 13 environments, identifying potential genes for millet improvement at different geographic sites. These can be used in marker-assisted breeding, genomic selection and genome editing to accelerate crop improvement under different climatic conditions.
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Affiliation(s)
- Qiang He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Sha Tang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hui Zhi
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jinfeng Chen
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jun Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hongkai Liang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ornob Alam
- Center for Genomics and Systems Biology, New York University, New York City, NY, USA
| | - Hongbo Li
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Hui Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Agronomy, Northwest A & F University, Yangling, China
| | - Lihe Xing
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xukai Li
- College of Life Sciences, Shanxi Agricultural University, Taigu, China
| | - Wei Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hailong Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Junpeng Shi
- State Key Laboratory of Plant Physiology and Biochemistry & National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, China
| | - Huilong Du
- School of Life Sciences, Institute of Life Sciences and Green Development, Hebei University, Baoding, China
| | - Hongpo Wu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Liwei Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ping Yang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lu Xing
- Anyang Academy of Agriculture Sciences, Anyang, China
| | - Hongshan Yan
- Anyang Academy of Agriculture Sciences, Anyang, China
| | | | - Jinrong Liu
- Anyang Academy of Agriculture Sciences, Anyang, China
| | - Haigang Wang
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Xiang Tian
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Zhijun Qiao
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Guojun Feng
- Research Institute of Cereal Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
| | - Ruifeng Guo
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Wenjuan Zhu
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Yuemei Ren
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Hongbo Hao
- Institute of Dry-Land Farming, Hebei Academy of Agricultural and Forestry Sciences, Hengshui, China
| | - Mingzhe Li
- Institute of Dry-Land Farming, Hebei Academy of Agricultural and Forestry Sciences, Hengshui, China
| | - Aiying Zhang
- Millet Research Institute, Shanxi Agricultural University, Changzhi, China
| | - Erhu Guo
- Millet Research Institute, Shanxi Agricultural University, Changzhi, China
| | - Feng Yan
- Qiqihar Sub-Academy of Heilongjiang Academy of Agricultural Sciences, Qiqihar, China
| | - Qingquan Li
- Qiqihar Sub-Academy of Heilongjiang Academy of Agricultural Sciences, Qiqihar, China
| | - Yanli Liu
- Cangzhou Academy of Agriculture and Forestry Sciences, Cangzhou, China
| | - Bohong Tian
- Cangzhou Academy of Agriculture and Forestry Sciences, Cangzhou, China
| | - Xiaoqin Zhao
- Dingxi Academy of Agricultural Sciences, Dingxi, China
| | - Ruiling Jia
- Dingxi Academy of Agricultural Sciences, Dingxi, China
| | - Baili Feng
- College of Agronomy, Northwest A & F University, Yangling, China
| | - Jiewei Zhang
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jianhua Wei
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jinsheng Lai
- State Key Laboratory of Plant Physiology and Biochemistry & National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, China
| | - Guanqing Jia
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Michael Purugganan
- Center for Genomics and Systems Biology, New York University, New York City, NY, USA.
- Center for Genomics and Systems Biology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
| | - Xianmin Diao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
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Phylogenomics of Aralia sect. Aralia (Araliaceae): Signals of hybridization and insights into its species delimitations and intercontinental biogeography. Mol Phylogenet Evol 2023; 181:107727. [PMID: 36754338 DOI: 10.1016/j.ympev.2023.107727] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 01/20/2023] [Accepted: 02/03/2023] [Indexed: 02/09/2023]
Abstract
Genome-scale data have significantly increased the number of informative characters for phylogenetic analyses and recent studies have also revealed widespread phylogenomic discordance in many plant lineages. Aralia sect. Aralia is a small plant lineage (14 spp.) of the ginseng family Araliaceae with a disjunct distribution between eastern Asia (11 spp.) and North America (3 spp.). We herein employ sequences of hundreds of nuclear loci and the complete plastomes using targeted sequence capture and genome skimming to reconstruct the phylogenetic and biogeographic history of this section. We detected substantial conflicts among nuclear genes, yet different analytical strategies generated largely congruent topologies from the nuclear data. Significant cytonuclear discordance was detected, especially concerning the positions of the three North American species. The phylogenomic results support two intercontinental disjunctions: (1) Aralia californica of western North America is sister to the eastern Asian clade consisting of A. cordata and A. continentalis in the nuclear tree, and (2) the eastern North American A. racemosa forms a clade with A. bicrenata from southwestern North America, and the North American A. racemosa - A. bicrenata clade is then sister to the eastern Asian clade consisting of A. glabra (Japan), A. fargesii (C China), and A. apioides and A. atropurpurea (the Hengduan Mountains). Aralia cordata is supported to be disjunctly distributed in Japan, Taiwan, the Ulleung island of Korea, and in Central, Southwest and South China, and Aralia continentalis is redefined with a narrower distribution in Northeast China, eastern Russia and peninsular Korea.
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Padgitt-Cobb LK, Pitra NJ, Matthews PD, Henning JA, Hendrix DA. An improved assembly of the "Cascade" hop ( Humulus lupulus) genome uncovers signatures of molecular evolution and refines time of divergence estimates for the Cannabaceae family. HORTICULTURE RESEARCH 2023; 10:uhac281. [PMID: 36818366 PMCID: PMC9930403 DOI: 10.1093/hr/uhac281] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 12/22/2022] [Indexed: 06/16/2023]
Abstract
We present a chromosome-level assembly of the Cascade hop (Humulus lupulus L. var. lupulus) genome. The hop genome is large (2.8 Gb) and complex, and early attempts at assembly were fragmented. Recent advances have made assembly of the hop genome more tractable, transforming the extent of investigation that can occur. The chromosome-level assembly of Cascade was developed by scaffolding the previously reported Cascade assembly generated with PacBio long-read sequencing and polishing with Illumina short-read DNA sequencing. We developed gene models and repeat annotations and used a controlled bi-parental mapping population to identify significant sex-associated markers. We assessed molecular evolution in gene sequences, gene family expansion and contraction, and time of divergence from Cannabis sativa and other closely related plant species using Bayesian inference. We identified the putative sex chromosome in the female genome based on significant sex-associated markers from the bi-parental mapping population. While the estimate of repeat content (~64%) is similar to the estimate for the hemp genome, syntenic blocks in hop contain a greater percentage of LTRs. Hop is enriched for disease resistance-associated genes in syntenic gene blocks and expanded gene families. The Cascade chromosome-level assembly will inform cultivation strategies and serve to deepen our understanding of the hop genomic landscape, benefiting hop researchers and the Cannabaceae genomics community.
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Affiliation(s)
- Lillian K Padgitt-Cobb
- Department of Biochemistry and Biophysics, Oregon State University, Corvallis, Oregon, USA
| | - Nicholi J Pitra
- Department of Research and Development, Hopsteiner, S.S. Steiner, Inc., 1 West Washington Avenue, Yakima, Washington 98903, USA
| | - Paul D Matthews
- Department of Research and Development, Hopsteiner, S.S. Steiner, Inc., 1 West Washington Avenue, Yakima, Washington 98903, USA
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Annotation of Siberian Larch (Larix sibirica Ledeb.) Nuclear Genome—One of the Most Cold-Resistant Tree Species in the Only Deciduous GENUS in Pinaceae. PLANTS 2022; 11:plants11152062. [PMID: 35956540 PMCID: PMC9370799 DOI: 10.3390/plants11152062] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/22/2022] [Accepted: 07/26/2022] [Indexed: 11/17/2022]
Abstract
The recent release of the nuclear, chloroplast and mitochondrial genome assemblies of Siberian larch (Larix sibirica Ledeb.), one of the most cold-resistant tree species in the only deciduous genus of Pinaceae, with seasonal senescence and a rot-resistant valuable timber widely used in construction, greatly contributed to the development of genomic resources for the larch genus. Here, we present an extensive repeatome analysis and the first annotation of the draft nuclear Siberian larch genome assembly. About 66% of the larch genome consists of highly repetitive elements (REs), with the likely wave of retrotransposons insertions into the larch genome estimated to occur 4–5 MYA. In total, 39,370 gene models were predicted, with 87% of them having homology to the Arabidopsis-annotated proteins and 78% having at least one GO term assignment. The current state of the genome annotations allows for the exploration of the gymnosperm and angiosperm species for relative gene abundance in different functional categories. Comparative analysis of functional gene categories across different angiosperm and gymnosperm species finds that the Siberian larch genome has an overabundance of genes associated with programmed cell death (PCD), autophagy, stress hormone biosynthesis and regulatory pathways; genes that may play important roles in seasonal senescence and stress response to extreme cold in larch. Despite being incomplete, the draft assemblies and annotations of the conifer genomes are at a point of development where they now represent a valuable source for further genomic, genetic and population studies.
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Sun C, Xie YH, Li Z, Liu YJ, Sun XM, Li JJ, Quan WP, Zeng QY, Van de Peer Y, Zhang SG. The Larix kaempferi genome reveals new insights into wood properties. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2022; 64:1364-1373. [PMID: 35442564 DOI: 10.1111/jipb.13265] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 04/18/2022] [Indexed: 06/14/2023]
Abstract
Here, through single-molecule real-time sequencing, we present a high-quality genome sequence of the Japanese larch (Larix kaempferi), a conifer species with great value for wood production and ecological afforestation. The assembled genome is 10.97 Gb in size, harboring 45,828 protein-coding genes. Of the genome, 66.8% consists of repeat sequences, of which long terminal repeat retrotransposons are dominant and make up 69.86%. We find that tandem duplications have been responsible for the expansion of genes involved in transcriptional regulation and stress responses, unveiling their crucial roles in adaptive evolution. Population transcriptome analysis reveals that lignin content in L. kaempferi is mainly determined by the process of monolignol polymerization. The expression values of six genes (LkCOMT7, LkCOMT8, LkLAC23, LkLAC102, LkPRX148, and LkPRX166) have significantly positive correlations with lignin content. These results indicated that the increased expression of these six genes might be responsible for the high lignin content of the larches' wood. Overall, this study provides new genome resources for investigating the evolution and biological function of conifer trees, and also offers new insights into wood properties of larches.
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Affiliation(s)
- Chao Sun
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China
- Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
| | - Yun-Hui Xie
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China
- Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
| | - Zhen Li
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Gent, B-9052, Belgium
- VIB Center for Plant Systems Biology, Ghent, B-9052, Belgium
| | - Yan-Jing Liu
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China
| | - Xiao-Mei Sun
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China
- Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
| | - Jing-Jing Li
- Nextomics Biosciences Co., Ltd, Wuhan, 430073, China
| | - Wei-Peng Quan
- Nextomics Biosciences Co., Ltd, Wuhan, 430073, China
| | - Qing-Yin Zeng
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China
| | - Yves Van de Peer
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Gent, B-9052, Belgium
- VIB Center for Plant Systems Biology, Ghent, B-9052, Belgium
- Department of Biochemistry, Genetics and Microbiology, Pretoria, South Africa
| | - Shou-Gong Zhang
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China
- Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
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8
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Riehl K, Riccio C, Miska EA, Hemberg M. TransposonUltimate: software for transposon classification, annotation and detection. Nucleic Acids Res 2022; 50:e64. [PMID: 35234904 PMCID: PMC9226531 DOI: 10.1093/nar/gkac136] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 02/09/2022] [Accepted: 02/14/2022] [Indexed: 12/17/2022] Open
Abstract
Most genomes harbor a large number of transposons, and they play an important role in evolution and gene regulation. They are also of interest to clinicians as they are involved in several diseases, including cancer and neurodegeneration. Although several methods for transposon identification are available, they are often highly specialised towards specific tasks or classes of transposons, and they lack common standards such as a unified taxonomy scheme and output file format. We present TransposonUltimate, a powerful bundle of three modules for transposon classification, annotation, and detection of transposition events. TransposonUltimate comes as a Conda package under the GPL-3.0 licence, is well documented and it is easy to install through https://github.com/DerKevinRiehl/TransposonUltimate. We benchmark the classification module on the large TransposonDB covering 891,051 sequences to demonstrate that it outperforms the currently best existing solutions. The annotation and detection modules combine sixteen existing softwares, and we illustrate its use by annotating Caenorhabditis elegans, Rhizophagus irregularis and Oryza sativa subs. japonica genomes. Finally, we use the detection module to discover 29 554 transposition events in the genomes of 20 wild type strains of C. elegans. Databases, assemblies, annotations and further findings can be downloaded from (https://doi.org/10.5281/zenodo.5518085).
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Affiliation(s)
- Kevin Riehl
- Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, UK
| | - Cristian Riccio
- Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
| | - Eric A Miska
- Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
- Department of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK
| | - Martin Hemberg
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women’s Hospital, 75 Francis Street, Boston, MA 02215, USA
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9
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D’Amico-Willman KM, Ouma WZ, Meulia T, Sideli GM, Gradziel TM, Fresnedo-Ramírez J. Whole-genome sequence and methylome profiling of the almond [Prunus dulcis (Mill.) D.A. Webb] cultivar 'Nonpareil'. G3 (BETHESDA, MD.) 2022; 12:jkac065. [PMID: 35325123 PMCID: PMC9073694 DOI: 10.1093/g3journal/jkac065] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 03/19/2022] [Indexed: 01/27/2023]
Abstract
Almond [Prunus dulcis (Mill.) D.A. Webb] is an economically important, specialty nut crop grown almost exclusively in the United States. Breeding and improvement efforts worldwide have led to the development of key, productive cultivars, including 'Nonpareil,' which is the most widely grown almond cultivar. Thus far, genomic resources for this species have been limited, and a whole-genome assembly for 'Nonpareil' is not currently available despite its economic importance and use in almond breeding worldwide. We generated a 571X coverage genome sequence using Illumina, PacBio, and optical mapping technologies. Gene prediction revealed 49,321 putative genes using MinION Oxford nanopore and Illumina RNA sequencing, and genome annotation found that 68% of predicted models are associated with at least one biological function. Furthermore, epigenetic signatures of almond, namely DNA cytosine methylation, have been implicated in a variety of phenotypes including self-compatibility, bud dormancy, and development of noninfectious bud failure. In addition to the genome sequence and annotation, this report also provides the complete methylome of several almond tissues, including leaf, flower, endocarp, mesocarp, exocarp, and seed coat. Comparisons between methylation profiles in these tissues revealed differences in genome-wide weighted % methylation and chromosome-level methylation enrichment.
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Affiliation(s)
| | | | - Tea Meulia
- Molecular and Cellular Imaging Center, The Ohio State University, Wooster, OH 44691, USA
| | - Gina M Sideli
- Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
| | - Thomas M Gradziel
- Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
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10
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Kaur A, Tyagi S, Singh K, Upadhyay SK. Exploration of glutathione reductase for abiotic stress response in bread wheat (Triticum aestivum L.). PLANT CELL REPORTS 2022; 41:639-654. [PMID: 34032897 DOI: 10.1007/s00299-021-02717-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 05/18/2021] [Indexed: 05/27/2023]
Abstract
A total of seven glutathione reductase (GR) genes were identified in Triticum aestivum, which were used for comparative structural characterization, phylogenetic analysis and expression profiling with the GR genes of other cereal plants. The modulated gene expression and enzyme activity revealed the role of GRs in abiotic stress response in T. aestivum. Glutathione reductase (GR) is an enzymatic antioxidant that converts oxidized glutathione (GSSG) into reduced glutathione (GSH) through the ascorbate-glutathione cycle. In this study, a total of seven GR genes forming two homeologous groups were identified in the allohexaploid genome of bread wheat (Triticum aestivum). Besides, we identified three GR genes in each Aegilops tauschii, Brachypodium distachyon, Triticum urartu and Sorghum bicolor, which were used for comparative characterization. Phylogenetic analysis revealed the clustering of GR proteins into two groups; class I and class II, which were predicted to be localized in cytoplasm and chloroplast, respectively. The exon-intron and conserved motif patterns were almost conserved in each group, in which a maximum of 10 and 17 exons were present in chloroplastic and cytoplasmic GRs, respectively. The protein structure analysis confirmed the occurrence of conserved pyridine nucleotide disulfide oxidoreductase (Pyr_redox) and pyridine nucleotide disulfide oxidoreductase dimerization (Pyr_redox_dim) domains in each GR. The active site of GR proteins consisted of two conserved cysteine residues separated by four amino acid residues. Promoter analysis revealed the occurrence of growth and stress-related cis-active elements. Tissue-specific expression profiling suggested the involvement of GRs in both vegetative and reproductive tissue development in various plants. The differential expression of TaGR genes and enhanced GR enzyme activity suggested their roles under drought, heat, salt and arsenic stress. Interaction of GRs with other proteins and chemical compounds of the ascorbate-glutathione cycle revealed their coordinated functioning. The current study will provide a foundation for the validation of the precise role of each GR gene in future studies.
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Affiliation(s)
- Amandeep Kaur
- Department of Botany, Panjab University, Chandigarh, 160014, India
| | - Shivi Tyagi
- Department of Botany, Panjab University, Chandigarh, 160014, India
| | - Kashmir Singh
- Department of Biotechnology, Panjab University, Chandigarh, 160014, India
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11
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Finding and Characterizing Repeats in Plant Genomes. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2443:327-385. [PMID: 35037215 DOI: 10.1007/978-1-0716-2067-0_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Plant genomes contain a particularly high proportion of repeated structures of various types. This chapter proposes a guided tour of the available software that can help biologists to scan automatically for these repeats in sequence data or check hypothetical models intended to characterize their structures. Since transposable elements (TEs) are a major source of repeats in plants, many methods have been used or developed for this broad class of sequences. They are representative of the range of tools available for other classes of repeats and we have provided two sections on this topic (for the analysis of genomes or directly of sequenced reads), as well as a selection of the main existing software. It may be hard to keep up with the profusion of proposals in this dynamic field and the rest of the chapter is devoted to the foundations of an efficient search for repeats and more complex patterns. We first introduce the key concepts of the art of indexing and mapping or querying sequences. We end the chapter with the more prospective issue of building models of repeat families. We present the Machine Learning approach first, seeking to build predictors automatically for some families of ET, from a set of sequences known to belong to this family. A second approach, the linguistic (or syntactic) approach, allows biologists to describe themselves and check the validity of models of their favorite repeat family.
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12
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Yates AD, Allen J, Amode RM, Azov AG, Barba M, Becerra A, Bhai J, Campbell LI, Carbajo Martinez M, Chakiachvili M, Chougule K, Christensen M, Contreras-Moreira B, Cuzick A, Da Rin Fioretto L, Davis P, De Silva NH, Diamantakis S, Dyer S, Elser J, Filippi CV, Gall A, Grigoriadis D, Guijarro-Clarke C, Gupta P, Hammond-Kosack KE, Howe KL, Jaiswal P, Kaikala V, Kumar V, Kumari S, Langridge N, Le T, Luypaert M, Maslen GL, Maurel T, Moore B, Muffato M, Mushtaq A, Naamati G, Naithani S, Olson A, Parker A, Paulini M, Pedro H, Perry E, Preece J, Quinton-Tulloch M, Rodgers F, Rosello M, Ruffier M, Seager J, Sitnik V, Szpak M, Tate J, Tello-Ruiz MK, Trevanion SJ, Urban M, Ware D, Wei S, Williams G, Winterbottom A, Zarowiecki M, Finn RD, Flicek P. Ensembl Genomes 2022: an expanding genome resource for non-vertebrates. Nucleic Acids Res 2021; 50:D996-D1003. [PMID: 34791415 PMCID: PMC8728113 DOI: 10.1093/nar/gkab1007] [Citation(s) in RCA: 94] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 10/07/2021] [Accepted: 11/10/2021] [Indexed: 11/28/2022] Open
Abstract
Ensembl Genomes (https://www.ensemblgenomes.org) provides access to non-vertebrate genomes and analysis complementing vertebrate resources developed by the Ensembl project (https://www.ensembl.org). The two resources collectively present genome annotation through a consistent set of interfaces spanning the tree of life presenting genome sequence, annotation, variation, transcriptomic data and comparative analysis. Here, we present our largest increase in plant, metazoan and fungal genomes since the project's inception creating one of the world's most comprehensive genomic resources and describe our efforts to reduce genome redundancy in our Bacteria portal. We detail our new efforts in gene annotation, our emerging support for pangenome analysis, our efforts to accelerate data dissemination through the Ensembl Rapid Release resource and our new AlphaFold visualization. Finally, we present details of our future plans including updates on our integration with Ensembl, and how we plan to improve our support for the microbial research community. Software and data are made available without restriction via our website, online tools platform and programmatic interfaces (available under an Apache 2.0 license). Data updates are synchronised with Ensembl's release cycle.
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Affiliation(s)
- Andrew D Yates
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ridwan M Amode
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrey G Azov
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Matthieu Barba
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrés Becerra
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jyothish Bhai
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Lahcen I Campbell
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Manuel Carbajo Martinez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Marc Chakiachvili
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Kapeel Chougule
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Mikkel Christensen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Alayne Cuzick
- Rothamsted Research, Department of Biointeractions and Crop Protection, Harpenden, Hertfordshire AL5 2JQ, UK
| | - Luca Da Rin Fioretto
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Davis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Nishadi H De Silva
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Stavros Diamantakis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Sarah Dyer
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Carla V Filippi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.,Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA); Instituto de Agrobiotecnología y Biología Molecular (IABIMO), INTA-CONICET Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas-CONICET, Ciudad Autónoma de Buenos Aires, Argentina
| | - Astrid Gall
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Dionysios Grigoriadis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Cristina Guijarro-Clarke
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Parul Gupta
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Kim E Hammond-Kosack
- Rothamsted Research, Department of Biointeractions and Crop Protection, Harpenden, Hertfordshire AL5 2JQ, UK
| | - Kevin L Howe
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Vinay Kaikala
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Vivek Kumar
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Sunita Kumari
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Nick Langridge
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Tuan Le
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Manuel Luypaert
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Gareth L Maslen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Thomas Maurel
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Benjamin Moore
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Matthieu Muffato
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Aleena Mushtaq
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Guy Naamati
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Andrew Olson
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Anne Parker
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Michael Paulini
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Helder Pedro
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Emily Perry
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Justin Preece
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Mark Quinton-Tulloch
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Faye Rodgers
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
| | - Marc Rosello
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Magali Ruffier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James Seager
- Rothamsted Research, Department of Biointeractions and Crop Protection, Harpenden, Hertfordshire AL5 2JQ, UK
| | - Vasily Sitnik
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Michal Szpak
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - John Tate
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | | | - Stephen J Trevanion
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Martin Urban
- Rothamsted Research, Department of Biointeractions and Crop Protection, Harpenden, Hertfordshire AL5 2JQ, UK
| | - Doreen Ware
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA.,USDA ARS NAA Robert W. Holley Center for Agriculture and Health, Agricultural Research Service, Ithaca, NY 14853, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Gary Williams
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrea Winterbottom
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Magdalena Zarowiecki
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Robert D Finn
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
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13
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Mokhtar MM, Alsamman AM, Abd-Elhalim HM, El Allali A. CicerSpTEdb: A web-based database for high-resolution genome-wide identification of transposable elements in Cicer species. PLoS One 2021; 16:e0259540. [PMID: 34762703 PMCID: PMC8584679 DOI: 10.1371/journal.pone.0259540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 10/20/2021] [Indexed: 11/19/2022] Open
Abstract
Recently, Cicer species have experienced increased research interest due to their economic importance, especially in genetics, genomics, and crop improvement. The Cicer arietinum, Cicer reticulatum, and Cicer echinospermum genomes have been sequenced and provide valuable resources for trait improvement. Since the publication of the chickpea draft genome, progress has been made in genome assembly, functional annotation, and identification of polymorphic markers. However, work is still needed to identify transposable elements (TEs) and make them available for researchers. In this paper, we present CicerSpTEdb, a comprehensive TE database for Cicer species that aims to improve our understanding of the organization and structural variations of the chickpea genome. Using structure and homology-based methods, 3942 C. echinospermum, 3579 C. reticulatum, and 2240 C. arietinum TEs were identified. Comparisons between Cicer species indicate that C. echinospermum has the highest number of LTR-RT and hAT TEs. C. reticulatum has more Mutator, PIF Harbinger, Tc1 Mariner, and CACTA TEs, while C. arietinum has the highest number of Helitron. CicerSpTEdb enables users to search and visualize TEs by location and download their results. The database will provide a powerful resource that can assist in developing TE target markers for molecular breeding and answer related biological questions. Database URL: http://cicersptedb.easyomics.org/index.php.
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Affiliation(s)
- Morad M. Mokhtar
- African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco
- * E-mail: (AEA); (MMM)
| | | | - Haytham M. Abd-Elhalim
- Agricultural Genetic Engineering Research Institute, Agricultural Research Center, Giza, Egypt
| | - Achraf El Allali
- African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco
- * E-mail: (AEA); (MMM)
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14
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Evolutionary history and pan-genome dynamics of strawberry ( Fragaria spp.). Proc Natl Acad Sci U S A 2021; 118:2105431118. [PMID: 34697247 PMCID: PMC8609306 DOI: 10.1073/pnas.2105431118] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/23/2021] [Indexed: 01/29/2023] Open
Abstract
Strawberry (Fragaria spp.) has emerged as a model system for various fundamental and applied research in recent years. In total, the genomes of five different species have been sequenced over the past 10 y. Here, we report chromosome-scale reference genomes for five strawberry species, including three newly sequenced species' genomes, and genome resequencing data for 128 additional accessions to estimate the genetic diversity, structure, and demographic history of key Fragaria species. Our analyses obtained fully resolved and strongly supported phylogenies and divergence times for most diploid strawberry species. These analyses also uncovered a new diploid species (Fragaria emeiensis Jia J. Lei). Finally, we constructed a pan-genome for Fragaria and examined the evolutionary dynamics of gene families. Notably, we identified multiple independent single base mutations of the MYB10 gene associated with white pigmented fruit shared by different strawberry species. These reference genomes and datasets, combined with our phylogenetic estimates, should serve as a powerful comparative genomic platform and resource for future studies in strawberry.
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15
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Contreras-Moreira B, Filippi CV, Naamati G, Girón CG, Allen JE, Flicek P. K-mer counting and curated libraries drive efficient annotation of repeats in plant genomes. THE PLANT GENOME 2021; 14:e20143. [PMID: 34562304 PMCID: PMC7614178 DOI: 10.1002/tpg2.20143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 07/06/2021] [Indexed: 06/13/2023]
Abstract
The annotation of repetitive sequences within plant genomes can help in the interpretation of observed phenotypes. Moreover, repeat masking is required for tasks such as whole-genome alignment, promoter analysis, or pangenome exploration. Although homology-based annotation methods are computationally expensive, k-mer strategies for masking are orders of magnitude faster. Here, we benchmarked a two-step approach, where repeats were first called by k-mer counting and then annotated by comparison to curated libraries. This hybrid protocol was tested on 20 plant genomes from Ensembl, with the k-mer-based Repeat Detector (Red) and two repeat libraries (REdat, last updated in 2013, and nrTEplants, curated for this work). Custom libraries produced by RepeatModeler were also tested. We obtained repeated genome fractions that matched those reported in the literature but with shorter repeated elements than those produced directly by sequence homology. Inspection of the masked regions that overlapped genes revealed no preference for specific protein domains. Most Red-masked sequences could be successfully classified by sequence similarity, with the complete protocol taking less than 2 h on a desktop Linux box. A guide to curating your own repeat libraries and the scripts for masking and annotating plant genomes can be obtained at https://github.com/Ensembl/plant-scripts.
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Affiliation(s)
- Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carla V Filippi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA); Instituto de Agrobiotecnología y Biología Molecular (IABIMO), INTA-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina
- CONICET, Av Rivadavia 1917, C1033AAJ Ciudad de Buenos Aires, Argentina
| | - Guy Naamati
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carlos García Girón
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James E Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
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16
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Song JM, Xie WZ, Wang S, Guo YX, Koo DH, Kudrna D, Gong C, Huang Y, Feng JW, Zhang W, Zhou Y, Zuccolo A, Long E, Lee S, Talag J, Zhou R, Zhu XT, Yuan D, Udall J, Xie W, Wing RA, Zhang Q, Poland J, Zhang J, Chen LL. Two gap-free reference genomes and a global view of the centromere architecture in rice. MOLECULAR PLANT 2021; 14:1757-1767. [PMID: 34171480 DOI: 10.1016/j.molp.2021.06.018] [Citation(s) in RCA: 108] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 06/16/2021] [Accepted: 06/22/2021] [Indexed: 05/04/2023]
Abstract
Rice (Oryza sativa), a major staple throughout the world and a model system for plant genomics and breeding, was the first crop genome sequenced almost two decades ago. However, reference genomes for all higher organisms to date contain gaps and missing sequences. Here, we report the assembly and analysis of gap-free reference genome sequences for two elite O. sativa xian/indica rice varieties, Zhenshan 97 and Minghui 63, which are being used as a model system for studying heterosis and yield. Gap-free reference genomes provide the opportunity for a global view of the structure and function of centromeres. We show that all rice centromeric regions share conserved centromere-specific satellite motifs with different copy numbers and structures. In addition, the similarity of CentO repeats in the same chromosome is higher than across chromosomes, supporting a model of local expansion and homogenization. Both genomes have over 395 non-TE genes located in centromere regions, of which ∼41% are actively transcribed. Two large structural variants at the end of chromosome 11 affect the copy number of resistance genes between the two genomes. The availability of the two gap-free genomes lays a solid foundation for further understanding genome structure and function in plants and breeding climate-resilient varieties.
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Affiliation(s)
- Jia-Ming Song
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; College of Life Science and Technology, Guangxi University, Nanning 530004, China
| | - Wen-Zhao Xie
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Shuo Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Yi-Xiong Guo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Dal-Hoe Koo
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | - Dave Kudrna
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Chenbo Gong
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Yicheng Huang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Jia-Wu Feng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Wenhui Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Yong Zhou
- Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Andrea Zuccolo
- Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Evan Long
- Plant and Wildlife Science Department, Brigham Young University, Provo, UT 84602, USA
| | - Seunghee Lee
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Jayson Talag
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Run Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Xi-Tong Zhu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Daojun Yuan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Joshua Udall
- Plant and Wildlife Science Department, Brigham Young University, Provo, UT 84602, USA
| | - Weibo Xie
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Rod A Wing
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA; Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; International Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031 Laguna, Philippines
| | - Qifa Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Jesse Poland
- Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, USA.
| | - Jianwei Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
| | - Ling-Ling Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; College of Life Science and Technology, Guangxi University, Nanning 530004, China.
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17
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Minow MAA, Lukens L, Rossi V, Colasanti J. Patterns of stability and change in the maize genome: a case study of small RNA transcriptomes in two recombinant inbred lines and their progenitors. Genome 2021; 65:1-12. [PMID: 34597524 DOI: 10.1139/gen-2021-0040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Small RNAs (sRNAs) are epigenetic regulators of eukaryotic genes and transposable elements (TEs). Diverse sRNA expression patterns exist within a species, but how this diversity arises is not well understood. To provide a window into the dynamics of maize sRNA patterning, sRNA and mRNA transcriptomes were examined in two related Zea mays recombinant inbred lines (RILs) and their inbred parents. Analysis of these RILs revealed that most clusters of sRNA expression retained the parental sRNA expression level. However, expression states that differ from the parental allele were also observed, predominantly reflecting decreases in sRNA expression. When RIL sRNA expression differed from the parental allele, the new state was frequently similar between the two RILs, and similar to the expression state found at the allele in the other parent. Novel sRNA expression patterns, distinct from those of either parent, were rare. Additionally, examination of sRNA expression over TEs revealed one TE family, Gyma, which showed consistent enrichment for RIL sRNA expression differences compared to those found in parental alleles. These findings provide insights into how sRNA silencing might evolve over generations and suggest that further investigation into the molecular nature of sRNA trans regulators is warranted.
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Affiliation(s)
- Mark A A Minow
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada
| | - Lewis Lukens
- Plant Agriculture Department, University of Guelph, Guelph, Ontario, Canada
| | - Vincenzo Rossi
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, I-24126 Bergamo, Italy
| | - Joseph Colasanti
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada
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18
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Jiang X, Song Q, Ye W, Chen ZJ. Concerted genomic and epigenomic changes accompany stabilization of Arabidopsis allopolyploids. Nat Ecol Evol 2021; 5:1382-1393. [PMID: 34413505 PMCID: PMC8484014 DOI: 10.1038/s41559-021-01523-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 06/24/2021] [Indexed: 02/06/2023]
Abstract
During evolution successful allopolyploids must overcome 'genome shock' between hybridizing species but the underlying process remains elusive. Here, we report concerted genomic and epigenomic changes in resynthesized and natural Arabidopsis suecica (TTAA) allotetraploids derived from Arabidopsis thaliana (TT) and Arabidopsis arenosa (AA). A. suecica shows conserved gene synteny and content with more gene family gain and loss in the A and T subgenomes than respective progenitors, although A. arenosa-derived subgenome has more structural variation and transposon distributions than A. thaliana-derived subgenome. These balanced genomic variations are accompanied by pervasive convergent and concerted changes in DNA methylation and gene expression among allotetraploids. The A subgenome is hypomethylated rapidly from F1 to resynthesized allotetraploids and convergently to the T-subgenome level in natural A. suecica, despite many other methylated loci being inherited from F1 to all allotetraploids. These changes in DNA methylation, including small RNAs, in allotetraploids may affect gene expression and phenotypic variation, including flowering, silencing of self-incompatibility and upregulation of meiosis- and mitosis-related genes. In conclusion, concerted genomic and epigenomic changes may improve stability and adaptation during polyploid evolution.
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Affiliation(s)
- Xinyu Jiang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Qingxin Song
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Wenxue Ye
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Z Jeffrey Chen
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
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19
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Ghazal H, Adam Y, Idrissi Azami A, Sehli S, Nyarko HN, Chaouni B, Olasehinde G, Isewon I, Adebiyi M, Ajani O, Matovu E, Obembe O, Ajamma Y, Kuzamunu G, Pandam Salifu S, Kayondo J, Benkahla A, Adebiyi E. Plant genomics in Africa: present and prospects. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 107:21-36. [PMID: 33837593 DOI: 10.1111/tpj.15272] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 03/29/2021] [Accepted: 04/01/2021] [Indexed: 06/12/2023]
Abstract
Plants are the world's most consumed goods. They are of high economic value and bring many health benefits. In most countries in Africa, the supply and quality of food will rise to meet the growing population's increasing demand. Genomics and other biotechnology tools offer the opportunity to improve subsistence crops and medicinal herbs in the continent. Significant advances have been made in plant genomics, which have enhanced our knowledge of the molecular processes underlying both plant quality and yield. The sequencing of complex genomes of African plant species, facilitated by the continuously evolving next-generation sequencing technologies and advanced bioinformatics approaches, has provided new opportunities for crop improvement. This review summarizes the achievements of genome sequencing projects of endemic African plants in the last two decades. We also present perspectives and challenges for future plant genomic studies that will accelerate important plant breeding programs for African communities. These challenges include a lack of basic facilities, a lack of sequencing and bioinformatics facilities, and a lack of skills to design genomics studies. However, it is imperative to state that African countries have become key players in the plant genome revolution and genome derived-biotechnology. Therefore, African governments should invest in public plant genomics research and applications, establish bioinformatics platforms and training programs, and stimulate university and industry partnerships to fully deploy plant genomics, particularly in the fields of agriculture and medicine.
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Affiliation(s)
- Hassan Ghazal
- National Center for Scientific and Technical Research, Rabat, Morocco
- Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Yagoub Adam
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
| | | | - Sofia Sehli
- Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Hannah N Nyarko
- Department of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
| | - Bouchra Chaouni
- Laboratory of Plant and Microbial Biotechnology, Biodiversity and Environment, Faculty of Sciences, University Mohammed V, Rabat, Morocco
| | - Grace Olasehinde
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Biological Sciences, Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Ota, Nigeria
| | - Itunuoluwa Isewon
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Computer and Information Sciences, Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Ota, Nigeria
| | - Marion Adebiyi
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Computer Science, Landmark University, Kwara-State, Omu-Aran, Nigeria
| | - Olayinka Ajani
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Chemistry, Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Ota, Nigeria
| | - Enock Matovu
- College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - Olawole Obembe
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Biological Sciences, Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Ota, Nigeria
| | - Yvonne Ajamma
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
| | - Gaston Kuzamunu
- African Institute for Mathematical Sciences, Cape Town, 7945, South Africa
- Department of Pathology, Division of Human Genetics, University of Cape Town, IDM, Cape Town, South Africa
- Department of Integrative Biomedical Sciences, Computational Biology Division, University of Cape Town, Observatory, 7925, South Africa
| | - Samson Pandam Salifu
- Department of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
| | - Jonathan Kayondo
- Uganda Virus Research Institute (UVRI), Uganda Research Unit on AIDS, Entebbe, Uganda
| | - Alia Benkahla
- Bioinformatics and Biostatistics Laboratory (LR16IPT09), Pasteur Institute of Tunis, Tunis, Tunisia
| | - Ezekiel Adebiyi
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Computer and Information Sciences, Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Ota, Nigeria
- Division of Applied Bioinformatics, German Cancer Research Center (DKFZ), G200, Im Neuenheimer Feld 280, Heidelberg, 69120, Germany
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20
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Minow MAA, Ávila LM, Lukens LN, Rossi V, Colasanti J. Introgressed DNA within a Zea mays near isogenic line displays lower levels of 24nt sRNA expression than the homologous region from the recurrent parent. Genome 2021; 64:1091-1098. [PMID: 34192470 DOI: 10.1139/gen-2021-0007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Near isogenic lines (NILs) are a classical genetic tool used to dissect the actions of an allele when placed in a uniform genetic background. Although the goal of NIL creation is to examine the effects of a single allele in isolation, DNA linked to the allele is invariably retained and can confound any allele specific effects. In addition to genetic variation, highly polymorphic species like Zea mays will contain introgressed polymorphisms encompassing transposable elements (TEs) and the cis acting small RNA (sRNA) that represses them. Through transcriptomics, we described the sRNA and TE transcriptional expression differences between a W22-derived introgression and its homologous B73 region. As anticipated, many sRNA expression differences were found. Unexpectedly, however, 24nt sRNA expression over the introgressed region was low overall compared to both the homologous B73 region and the rest of the genome. Across the introgression, low sRNA expression was accompanied by increased TE transcription. Possible explanations for the observed trends in sRNA and TE expression across the introgression are discussed. These findings support the notion that any introgressed allele is in an epigenetic environment distinct from that found at the allele from the recurrent parent. Additionally, these results suggest that further study of sRNA expression levels during the introgression process is warranted.
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Affiliation(s)
- Mark A A Minow
- University of Guelph, 3653, Molecular and Cellular Biology, 50 Stone Rd East, ON, Guelph, Ontario, Canada, N1G 2W1;
| | - Luis M Ávila
- University of Guelph, 3653, Plant Agriculture Department, Guelph, Ontario, Canada;
| | - Lewis N Lukens
- University of Guelph, Department of Plant Agriculture, Guelph Campus, Guelph, Ontario, Canada, N1G 2W1;
| | - Vincenzo Rossi
- Research Centre for Cereal and Industrial Crops, Bergamo, Italy;
| | - Joseph Colasanti
- University of Guelph, 3653, Department of Molecular and Cellular Biology, Guelph, Ontario, Canada, N1G 2W1;
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21
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A Practical Guide on Computational Tools and Databases for Transposable Elements in Plants. Methods Mol Biol 2021. [PMID: 33900590 DOI: 10.1007/978-1-0716-1134-0_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
In the age of big data, obtaining precise information about the research topic of interesting is extremely important. Keeping this in mind, this chapter focuses on providing a practical knowledge guide about computational tools and databases of transposable elements (TE) in plants. For that, we organize and present this text in three sections: (1) a discussion about tools and databases on this theme; (2) hands-on of how to use a few of them; (3) an exploratory data analysis on public TE data. Finally, we are going deep to present the main challenges and possible solutions to improve resources and tools.
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22
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He F, Steige KA, Kovacova V, Göbel U, Bouzid M, Keightley PD, Beyer A, de Meaux J. Cis-regulatory evolution spotlights species differences in the adaptive potential of gene expression plasticity. Nat Commun 2021; 12:3376. [PMID: 34099660 PMCID: PMC8184852 DOI: 10.1038/s41467-021-23558-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 04/29/2021] [Indexed: 11/09/2022] Open
Abstract
Phenotypic plasticity is the variation in phenotype that a single genotype can produce in different environments and, as such, is an important component of individual fitness. However, whether the effect of new mutations, and hence evolution, depends on the direction of plasticity remains controversial. Here, we identify the cis-acting modifications that have reshaped gene expression in response to dehydration stress in three Arabidopsis species. Our study shows that the direction of effects of most cis-regulatory variants differentiating the response between A. thaliana and the sister species A. lyrata and A. halleri depends on the direction of pre-existing plasticity in gene expression. A comparison of the rate of cis-acting variant accumulation in each lineage indicates that the selective forces driving adaptive evolution in gene expression favors regulatory changes that magnify the stress response in A. lyrata. The evolutionary constraints measured on the amino-acid sequence of these genes support this interpretation. In contrast, regulatory changes that mitigate the plastic response to stress evolved more frequently in A. halleri. Our results demonstrate that pre-existing plasticity may be a stepping stone for adaptation, but its selective remodeling differs between lineages.
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Affiliation(s)
- F He
- CEPLAS, University of Cologne, Cologne, Germany
| | - K A Steige
- CEPLAS, University of Cologne, Cologne, Germany
| | - V Kovacova
- CECAD, University of Cologne, Cologne, Germany
| | - U Göbel
- CEPLAS, University of Cologne, Cologne, Germany
| | - M Bouzid
- CEPLAS, University of Cologne, Cologne, Germany
| | - P D Keightley
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK
| | - A Beyer
- CEPLAS, University of Cologne, Cologne, Germany
| | - J de Meaux
- CEPLAS, University of Cologne, Cologne, Germany.
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23
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Sequence of the supernumerary B chromosome of maize provides insight into its drive mechanism and evolution. Proc Natl Acad Sci U S A 2021; 118:2104254118. [PMID: 34088847 PMCID: PMC8201846 DOI: 10.1073/pnas.2104254118] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
B chromosomes are enigmatic elements in thousands of plant and animal genomes that persist in populations despite being nonessential. They circumvent the laws of Mendelian inheritance but the molecular mechanisms underlying this behavior remain unknown. Here we present the sequence, annotation, and analysis of the maize B chromosome providing insight into its drive mechanism. The sequence assembly reveals detailed locations of the elements involved with the cis and trans functions of its drive mechanism, consisting of nondisjunction at the second pollen mitosis and preferential fertilization of the egg by the B-containing sperm. We identified 758 protein-coding genes in 125.9 Mb of B chromosome sequence, of which at least 88 are expressed. Our results demonstrate that transposable elements in the B chromosome are shared with the standard A chromosome set but multiple lines of evidence fail to detect a syntenic genic region in the A chromosomes, suggesting a distant origin. The current gene content is a result of continuous transfer from the A chromosomal complement over an extended evolutionary time with subsequent degradation but with selection for maintenance of this nonvital chromosome.
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24
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Lucas SJ, Kahraman K, Avşar B, Buggs RJA, Bilge I. A chromosome-scale genome assembly of European hazel (Corylus avellana L.) reveals targets for crop improvement. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 105:1413-1430. [PMID: 33249676 DOI: 10.1111/tpj.15099] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 11/09/2020] [Indexed: 05/20/2023]
Abstract
The European hazelnut (Corylus avellana L.) is a tree crop of economic importance worldwide, but especially for northern Turkey, where the majority of production takes place. Hazelnut production is currently challenged by environmental stresses, such as a recent outbreak of severe powdery mildew disease; furthermore, allergy to hazelnuts is an increasing health concern in some regions. In order to provide a foundation for using the available hazelnut genetic resources for crop improvement, we produced a fully assembled genome sequence and annotation for a hazelnut species, from C. avellana cv. 'Tombul', one of the most important Turkish varieties. A hybrid sequencing strategy, combining short reads, long reads and proximity ligation methods, enabled us to resolve heterozygous regions and produce a high-quality 370-Mb assembly that agrees closely with cytogenetic studies and genetic maps of the 11 C. avellana chromosomes, and covers 97.8% of the estimated genome size. The genome includes 27 270 high-confidence protein-coding genes, over 20 000 of which were functionally annotated based on homology with known plant proteins. We focused particularly on gene families encoding hazelnut allergens, and the Mildew resistance Locus O (MLO) proteins that are an important susceptibility factor for powdery mildew. The complete assembly enabled us to differentiate between members of these families and to identify homologues that may be important in mildew disease and hazelnut allergy. These findings provide examples of how the genome can be used to guide research and to develop effective strategies for crop improvement in C. avellana.
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Affiliation(s)
- Stuart J Lucas
- Sabanci University SUNUM Nanotechnology Research and Application Centre, Istanbul, Turkey
| | - Kadriye Kahraman
- Sabanci University SUNUM Nanotechnology Research and Application Centre, Istanbul, Turkey
- Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey
| | - Bihter Avşar
- Sabanci University SUNUM Nanotechnology Research and Application Centre, Istanbul, Turkey
- Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey
| | - Richard J A Buggs
- Jodrell Laboratory, Royal Botanic Gardens, Kew, London, UK
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Ipek Bilge
- Sabanci University SUNUM Nanotechnology Research and Application Centre, Istanbul, Turkey
- Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey
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25
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Padgitt-Cobb LK, Kingan SB, Wells J, Elser J, Kronmiller B, Moore D, Concepcion G, Peluso P, Rank D, Jaiswal P, Henning J, Hendrix DA. A draft phased assembly of the diploid Cascade hop (Humulus lupulus) genome. THE PLANT GENOME 2021; 14:e20072. [PMID: 33605092 DOI: 10.1002/tpg2.20072] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 10/03/2020] [Indexed: 05/25/2023]
Abstract
Hop (Humulus lupulus L. var Lupulus) is a diploid, dioecious plant with a history of cultivation spanning more than one thousand years. Hop cones are valued for their use in brewing and contain compounds of therapeutic interest including xanthohumol. Efforts to determine how biochemical pathways responsible for desirable traits are regulated have been challenged by the large (2.8 Gb), repetitive, and heterozygous genome of hop. We present a draft haplotype-phased assembly of the Cascade cultivar genome. Our draft assembly and annotation of the Cascade genome is the most extensive representation of the hop genome to date. PacBio long-read sequences from hop were assembled with FALCON and partially phased with FALCON-Unzip. Comparative analysis of haplotype sequences provides insight into selective pressures that have driven evolution in hop. We discovered genes with greater sequence divergence enriched for stress-response, growth, and flowering functions in the draft phased assembly. With improved resolution of long terminal retrotransposons (LTRs) due to long-read sequencing, we found that hop is over 70% repetitive. We identified a homolog of cannabidiolic acid synthase (CBDAS) that is expressed in multiple tissues. The approaches we developed to analyze the draft phased assembly serve to deepen our understanding of the genomic landscape of hop and may have broader applicability to the study of other large, complex genomes.
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Affiliation(s)
- Lillian K Padgitt-Cobb
- Department of Biochemistry and Biophysics, Oregon State University, Corvallis, OR, 97331, USA
| | - Sarah B Kingan
- Pacific Biosciences of California, Menlo Park, CA, 94025, USA
| | - Jackson Wells
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, 97331, USA
| | - Justin Elser
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, 97331, USA
| | - Brent Kronmiller
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, 97331, USA
| | | | | | - Paul Peluso
- Pacific Biosciences of California, Menlo Park, CA, 94025, USA
| | - David Rank
- Pacific Biosciences of California, Menlo Park, CA, 94025, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, 97331, USA
| | | | - David A Hendrix
- Department of Biochemistry and Biophysics, Oregon State University, Corvallis, OR, 97331, USA
- School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, 97331, USA
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Melonek J, Duarte J, Martin J, Beuf L, Murigneux A, Varenne P, Comadran J, Specel S, Levadoux S, Bernath-Levin K, Torney F, Pichon JP, Perez P, Small I. The genetic basis of cytoplasmic male sterility and fertility restoration in wheat. Nat Commun 2021; 12:1036. [PMID: 33589621 PMCID: PMC7884431 DOI: 10.1038/s41467-021-21225-0] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 01/15/2021] [Indexed: 01/31/2023] Open
Abstract
Hybrid wheat varieties give higher yields than conventional lines but are difficult to produce due to a lack of effective control of male fertility in breeding lines. One promising system involves the Rf1 and Rf3 genes that restore fertility of wheat plants carrying Triticum timopheevii-type cytoplasmic male sterility (T-CMS). Here, by genetic mapping and comparative sequence analyses, we identify Rf1 and Rf3 candidates that can restore normal pollen production in transgenic wheat plants carrying T-CMS. We show that Rf1 and Rf3 bind to the mitochondrial orf279 transcript and induce cleavage, preventing expression of the CMS trait. The identification of restorer genes in wheat is an important step towards the development of hybrid wheat varieties based on a CMS-Rf system. The characterisation of their mode of action brings insights into the molecular basis of CMS and fertility restoration in plants.
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Affiliation(s)
- Joanna Melonek
- ARC Centre of Excellence in Plant Energy Biology, School of Molecular Sciences, The University of Western Australia, Crawley, WA, Australia
| | - Jorge Duarte
- Groupe Limagrain, Centre de Recherche, Route d'Ennezat, Chappes, France
| | - Jerome Martin
- Groupe Limagrain, Centre de Recherche, Route d'Ennezat, Chappes, France
| | - Laurent Beuf
- Groupe Limagrain, Centre de Recherche, Route d'Ennezat, Chappes, France
| | - Alain Murigneux
- Groupe Limagrain, Centre de Recherche, Route d'Ennezat, Chappes, France
| | - Pierrick Varenne
- Groupe Limagrain, Centre de Recherche, Route d'Ennezat, Chappes, France
| | - Jordi Comadran
- Groupe Limagrain, Centre de Recherche, Route d'Ennezat, Chappes, France
| | - Sebastien Specel
- Groupe Limagrain, Centre de Recherche, Route d'Ennezat, Chappes, France
| | - Sylvain Levadoux
- Groupe Limagrain, Centre de Recherche, Route d'Ennezat, Chappes, France
| | - Kalia Bernath-Levin
- ARC Centre of Excellence in Plant Energy Biology, School of Molecular Sciences, The University of Western Australia, Crawley, WA, Australia
| | - François Torney
- Groupe Limagrain, Centre de Recherche, Route d'Ennezat, Chappes, France
| | | | - Pascual Perez
- Groupe Limagrain, Centre de Recherche, Route d'Ennezat, Chappes, France
| | - Ian Small
- ARC Centre of Excellence in Plant Energy Biology, School of Molecular Sciences, The University of Western Australia, Crawley, WA, Australia.
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Busconi M, Wischnitzki E, Del Corvo M, Colli L, Soffritti G, Stagnati L, Fluch S, Sehr EM, de los Mozos Pascual M, Fernández JA. Epigenetic Variability Among Saffron Crocus ( Crocus sativus L.) Accessions Characterized by Different Phenotypes. FRONTIERS IN PLANT SCIENCE 2021; 12:642631. [PMID: 33747022 PMCID: PMC7970008 DOI: 10.3389/fpls.2021.642631] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 02/15/2021] [Indexed: 05/10/2023]
Abstract
This work represents the first epigenomic study carried out on saffron crocus. Five accessions of saffron, showing differences in tepal pigmentation, yield of saffron and flowering time, were analyzed at the epigenetic level by applying a methylation-sensitive restriction enzyme-sequencing (MRE-seq) approach. Five accession-specific hypomethylomes plus a reference hypomethylome, generated by combining the sequence data from the single accessions, were obtained. Assembled sequences were annotated against existing online databases. In the absence of the Crocus genome, the rice genome was mainly used as the reference as it is the best annotated genome among monocot plants. Comparison of the hypomethylomes revealed many differentially methylated regions, confirming the high epigenetic variability present among saffron accessions, including sequences encoding for proteins that could be good candidates to explain the accessions' alternative phenotypes. In particular, transcription factors involved in flowering process (MADS-box and TFL) and for the production of pigments (MYB) were detected. Finally, by comparing the generated sequences of the different accessions, a high number of SNPs, likely having arisen as a consequence of the prolonged vegetative propagation, were detected, demonstrating surprisingly high genetic variability. Gene ontology (GO) was performed to map and visualize sequence polymorphisms located within the GOs and to compare their distributions among different accessions. As well as suggesting the possible existence of alternative phenotypes with a genetic basis, a clear difference in polymorphic GO is present among accessions based on their geographic origin, supporting a possible signature of selection in the Indian accession with respect to the Spanish ones.
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Affiliation(s)
- Matteo Busconi
- Faculty of Agriculture, Food and Environmental Sciences, Research Centre BioDNA, Università Cattolica del Sacro Cuore, Piacenza, Italy
- *Correspondence: Matteo Busconi,
| | - Elisabeth Wischnitzki
- Centre for Health and Bioresources, AIT Austrian Institute of Technology, Tulln, Austria
| | - Marcello Del Corvo
- Faculty of Agriculture, Food and Environmental Sciences, Research Centre BioDNA, Università Cattolica del Sacro Cuore, Piacenza, Italy
| | - Licia Colli
- Faculty of Agriculture, Food and Environmental Sciences, Research Centre BioDNA, Università Cattolica del Sacro Cuore, Piacenza, Italy
| | - Giovanna Soffritti
- Faculty of Agriculture, Food and Environmental Sciences, Research Centre BioDNA, Università Cattolica del Sacro Cuore, Piacenza, Italy
| | - Lorenzo Stagnati
- Faculty of Agriculture, Food and Environmental Sciences, Research Centre BioDNA, Università Cattolica del Sacro Cuore, Piacenza, Italy
| | - Silvia Fluch
- Centre for Health and Bioresources, AIT Austrian Institute of Technology, Tulln, Austria
| | - Eva Maria Sehr
- Centre for Health and Bioresources, AIT Austrian Institute of Technology, Tulln, Austria
| | - Marcelino de los Mozos Pascual
- Centro de Investigación Agroforestal de Albaladejito, Instituto Regional de Investigación y Desarrollo Agroalimentario y Forestal, Cuenca, Spain
| | - José Antonio Fernández
- IDR-Biotechnology and Natural Resources, Universidad de Castilla—La Mancha, Albacete, Spain
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28
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Sharma A, Sharma H, Rajput R, Pandey A, Upadhyay SK. Molecular Characterization Revealed the Role of Thaumatin-Like Proteins of Bread Wheat in Stress Response. FRONTIERS IN PLANT SCIENCE 2021; 12:807448. [PMID: 35087559 PMCID: PMC8786798 DOI: 10.3389/fpls.2021.807448] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/13/2021] [Indexed: 05/19/2023]
Abstract
Thaumatin-like proteins (TLPs) are related to pathogenesis-related-5 (PR-5) family and involved in stress response. Herein, a total of 93 TLP genes were identified in the genome of Triticum aestivum. Further, we identified 26, 27, 39, and 37 TLP genes in the Brachypodium distachyon, Oryza sativa, Sorghum bicolor, and Zea mays genomes for comparative characterization, respectively. They could be grouped into small and long TLPs with conserved thaumatin signature motif. Tightly clustered genes exhibited conserved gene and protein structure. The physicochemical analyses suggested significant differences between small and long TLPs. Evolutionary analyses suggested the role of duplication events and purifying selection in the expansion of the TLP gene family. Expression analyses revealed the possible roles of TLPs in plant development and abiotic and fungal stress response. Recombinant expression of TaTLP2-B in Saccharomyces cerevisiae provided significant tolerance against cold, heat, osmotic, and salt stresses. The results depicted the importance of TLPs in cereal crops that would be highly useful in future crop improvement programs.
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Affiliation(s)
- Alok Sharma
- Department of Botany, Panjab University, Chandigarh, India
| | - Himanshu Sharma
- Department of Botany, Panjab University, Chandigarh, India
- Department of Biotechnology, I.K. Gujral Punjab Technical University, Jalandhar, India
| | - Ruchika Rajput
- National Institute of Plant Genome Research, New Delhi, India
| | - Ashutosh Pandey
- National Institute of Plant Genome Research, New Delhi, India
| | - Santosh Kumar Upadhyay
- Department of Botany, Panjab University, Chandigarh, India
- *Correspondence: Santosh Kumar Upadhyay,
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29
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Lexa M, Jedlicka P, Vanat I, Cervenansky M, Kejnovsky E. TE-greedy-nester: structure-based detection of LTR retrotransposons and their nesting. Bioinformatics 2020; 36:4991-4999. [PMID: 32663247 PMCID: PMC7755421 DOI: 10.1093/bioinformatics/btaa632] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 06/08/2020] [Accepted: 07/07/2020] [Indexed: 11/23/2022] Open
Abstract
Motivation Transposable elements (TEs) in eukaryotes often get inserted into one another, forming sequences that become a complex mixture of full-length elements and their fragments. The reconstruction of full-length elements and the order in which they have been inserted is important for genome and transposon evolution studies. However, the accumulation of mutations and genome rearrangements over evolutionary time makes this process error-prone and decreases the efficiency of software aiming to recover all nested full-length TEs. Results We created software that uses a greedy recursive algorithm to mine increasingly fragmented copies of full-length LTR retrotransposons in assembled genomes and other sequence data. The software called TE-greedy-nester considers not only sequence similarity but also the structure of elements. This new tool was tested on a set of natural and synthetic sequences and its accuracy was compared to similar software. We found TE-greedy-nester to be superior in a number of parameters, namely computation time and full-length TE recovery in highly nested regions. Availability and implementation http://gitlab.fi.muni.cz/lexa/nested. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Matej Lexa
- Department of Plant Developmental Genetics, Institute of Biophysics of the Czech Academy of Sciences, 61200 Brno, Czech Republic.,Department of Machine Learning and Data Processing, Faculty of Informatics, Masaryk University, 60200 Brno, Czech Republic
| | - Pavel Jedlicka
- Department of Plant Developmental Genetics, Institute of Biophysics of the Czech Academy of Sciences, 61200 Brno, Czech Republic
| | - Ivan Vanat
- Department of Machine Learning and Data Processing, Faculty of Informatics, Masaryk University, 60200 Brno, Czech Republic
| | - Michal Cervenansky
- Department of Plant Developmental Genetics, Institute of Biophysics of the Czech Academy of Sciences, 61200 Brno, Czech Republic.,Department of Machine Learning and Data Processing, Faculty of Informatics, Masaryk University, 60200 Brno, Czech Republic
| | - Eduard Kejnovsky
- Department of Plant Developmental Genetics, Institute of Biophysics of the Czech Academy of Sciences, 61200 Brno, Czech Republic
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30
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Lorenzo JR, Leonetti CO, Alonso LG, Sánchez IE. NGOME-Lite: Proteome-wide prediction of spontaneous protein deamidation highlights differences between taxa. Methods 2020; 200:15-22. [PMID: 33189829 DOI: 10.1016/j.ymeth.2020.11.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 11/01/2020] [Accepted: 11/10/2020] [Indexed: 12/31/2022] Open
Abstract
Asparagines in proteins deamidate spontaneously, which changes the chemical structure of a protein and often affects its function. Current prediction algorithms for asparagine deamidation require a structure as an input or are too slow to be applied at a proteomic scale. We present NGOME-Lite, a new version of our sequence-based predictor for spontaneous asparagine deamidation that is faster by over two orders of magnitude at a similar degree of accuracy. The algorithm takes into account intrinsic sequence propensities and slowing down of deamidation by local structure. NGOME-Lite can run in a proteomic analysis mode that provides the half-time of the intact form of each protein, predicted by taking into account sequence propensities and structural protection or sequence propensities only, and a structure protection factor. The detailed analysis mode also provides graphical output for all Asn residues in the query sequence. We applied NGOME-Lite to over 257,000 sequences in 38 proteomes and found that different taxa differ in their predicted deamidation dynamics. Spontaneous protein deamidation is faster in Eukarya than in Bacteria because of a higher degree of structural protection in the latter. Predicted protein deamidation half-lifes correlate with protein turnover in human, mouse, rat, C. elegans and budding yeast but not in two plants and two bacteria. NGOME-Lite is implemented in a docker container available at https://ngome.proteinphysiologylab.org.
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Affiliation(s)
- Juan R Lorenzo
- Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Facultad de Ciencias Exactas y Naturales, Laboratorio de Fisiología de Proteínas, Buenos Aires, Argentina; Centro de Investigación Veterinaria de Tandil (CIVETAN), CONICET-CICPBA-UNCPBA, Facultad de Ciencias Veterinarias, Universidad Nacional del Centro (FCV-UNCPBA), Tandil, Argentina
| | - César O Leonetti
- Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Facultad de Ciencias Exactas y Naturales, Laboratorio de Fisiología de Proteínas, Buenos Aires, Argentina
| | - Leonardo G Alonso
- Instituto de Nanobiotecnología (NANOBIOTEC), CONICET-Universidad de Buenos Aires, Buenos Aires, Argentina.
| | - Ignacio E Sánchez
- Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Facultad de Ciencias Exactas y Naturales, Laboratorio de Fisiología de Proteínas, Buenos Aires, Argentina.
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31
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Mitros T, Session AM, James BT, Wu GA, Belaffif MB, Clark LV, Shu S, Dong H, Barling A, Holmes JR, Mattick JE, Bredeson JV, Liu S, Farrar K, Głowacka K, Jeżowski S, Barry K, Chae WB, Juvik JA, Gifford J, Oladeinde A, Yamada T, Grimwood J, Putnam NH, De Vega J, Barth S, Klaas M, Hodkinson T, Li L, Jin X, Peng J, Yu CY, Heo K, Yoo JH, Ghimire BK, Donnison IS, Schmutz J, Hudson ME, Sacks EJ, Moose SP, Swaminathan K, Rokhsar DS. Genome biology of the paleotetraploid perennial biomass crop Miscanthus. Nat Commun 2020; 11:5442. [PMID: 33116128 PMCID: PMC7595124 DOI: 10.1038/s41467-020-18923-6] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 08/19/2020] [Indexed: 02/05/2023] Open
Abstract
Miscanthus is a perennial wild grass that is of global importance for paper production, roofing, horticultural plantings, and an emerging highly productive temperate biomass crop. We report a chromosome-scale assembly of the paleotetraploid M. sinensis genome, providing a resource for Miscanthus that links its chromosomes to the related diploid Sorghum and complex polyploid sugarcanes. The asymmetric distribution of transposons across the two homoeologous subgenomes proves Miscanthus paleo-allotetraploidy and identifies several balanced reciprocal homoeologous exchanges. Analysis of M. sinensis and M. sacchariflorus populations demonstrates extensive interspecific admixture and hybridization, and documents the origin of the highly productive triploid bioenergy crop M. × giganteus. Transcriptional profiling of leaves, stem, and rhizomes over growing seasons provides insight into rhizome development and nutrient recycling, processes critical for sustainable biomass accumulation in a perennial temperate grass. The Miscanthus genome expands the power of comparative genomics to understand traits of importance to Andropogoneae grasses. The perennial grass Miscanthus is a promising biomass crop. Here, via genomics and transcriptomics, the authors reveal its allotetraploid origin, characterize gene expression associated with rhizome development and nutrient recycling, and describe the hybrid origin of the triploid M. x giganteus.
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Affiliation(s)
- Therese Mitros
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA.,DOE Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), University of Illinois, Urbana-Champaign, IL, 61801, USA
| | - Adam M Session
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA.,U.S. Department of Energy Joint Genome Institute, Berkeley, CA, 94720, USA
| | - Brandon T James
- DOE Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), University of Illinois, Urbana-Champaign, IL, 61801, USA.,HudsonAlpha Biotechnology Institute, 601 Genome Way Northwest, Huntsville, AL, 35806, USA
| | - Guohong Albert Wu
- U.S. Department of Energy Joint Genome Institute, Berkeley, CA, 94720, USA
| | - Mohammad B Belaffif
- DOE Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), University of Illinois, Urbana-Champaign, IL, 61801, USA.,HudsonAlpha Biotechnology Institute, 601 Genome Way Northwest, Huntsville, AL, 35806, USA
| | - Lindsay V Clark
- Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA.,High Performance Biological Computing, Roy J. Carver Biotechnology Center, University of Illinois, 206 West Gregory Drive, Urbana, IL, 61801, USA
| | - Shengqiang Shu
- U.S. Department of Energy Joint Genome Institute, Berkeley, CA, 94720, USA
| | - Hongxu Dong
- Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA
| | - Adam Barling
- Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA
| | - Jessica R Holmes
- Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA.,High Performance Biological Computing, Roy J. Carver Biotechnology Center, University of Illinois, 206 West Gregory Drive, Urbana, IL, 61801, USA
| | - Jessica E Mattick
- Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA.,Department of Microbiology and Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA
| | - Jessen V Bredeson
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA
| | - Siyao Liu
- Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA.,Department of Genetics, Curriculum of Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC, 27514, USA
| | - Kerrie Farrar
- Institute of Biological, Environmental AND Rural Sciences (IBERS), Aberystwyth University, Gogerddan, Aberystwyth, Ceredigion, SY23 3EE, UK
| | - Katarzyna Głowacka
- Institute of Plant Genetics, Polish Academy of Sciences, 60-479, Poznań, Poland.,Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA
| | - Stanisław Jeżowski
- Institute of Plant Genetics, Polish Academy of Sciences, 60-479, Poznań, Poland
| | - Kerrie Barry
- U.S. Department of Energy Joint Genome Institute, Berkeley, CA, 94720, USA
| | - Won Byoung Chae
- Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA.,Department of Environmental Horticulture, Dankook University, Cheonan, 31116, Republic of Korea
| | - John A Juvik
- Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA
| | - Justin Gifford
- Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA
| | - Adebosola Oladeinde
- Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA
| | - Toshihiko Yamada
- Field Science Center for Northern Biosphere, 10-chōme-3 Kita 11 Jōnishi, Kita-ku, Sapporo, Hokkaido, 060-0811, Japan
| | - Jane Grimwood
- U.S. Department of Energy Joint Genome Institute, Berkeley, CA, 94720, USA.,HudsonAlpha Biotechnology Institute, 601 Genome Way Northwest, Huntsville, AL, 35806, USA
| | - Nicholas H Putnam
- Dovetail Genomics, 100 Enterprise Way, Scotts Valley, CA, 95066, USA
| | - Jose De Vega
- Earlham Institute, Norwich Research Park Innovation Centre, Norwich, NR4 7UZ, UK
| | - Susanne Barth
- Teagasc, Crops, Environment and Land Use Programme, Oak Park Research Centre, Carlow, R93XE12, Ireland
| | - Manfred Klaas
- Teagasc, Crops, Environment and Land Use Programme, Oak Park Research Centre, Carlow, R93XE12, Ireland
| | - Trevor Hodkinson
- Botany, School of Natural Sciences, Trinity College Dublin, The University of Dublin, D2, Dublin, Ireland
| | - Laigeng Li
- Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, 300 Fenglin Rd, Shanghai, 200032, China
| | - Xiaoli Jin
- Department of Agronomy, Zhejiang University, Hangzhou, 310058, China
| | - Junhua Peng
- HuaZhi Rice Biotech Company, Changsha, 410125, Hunan, China
| | - Chang Yeon Yu
- Department of Applied Plant Sciences, Kangwon National University, Chuncheon, Gangwon, 200-701, Republic of Korea
| | - Kweon Heo
- Department of Applied Plant Sciences, Kangwon National University, Chuncheon, Gangwon, 200-701, Republic of Korea
| | - Ji Hye Yoo
- Department of Applied Plant Sciences, Kangwon National University, Chuncheon, Gangwon, 200-701, Republic of Korea
| | - Bimal Kumar Ghimire
- Department of Applied Bioscience, Konkuk University, Seoul, 05029, Republic of Korea
| | - Iain S Donnison
- Institute of Biological, Environmental AND Rural Sciences (IBERS), Aberystwyth University, Gogerddan, Aberystwyth, Ceredigion, SY23 3EE, UK
| | - Jeremy Schmutz
- U.S. Department of Energy Joint Genome Institute, Berkeley, CA, 94720, USA.,HudsonAlpha Biotechnology Institute, 601 Genome Way Northwest, Huntsville, AL, 35806, USA
| | - Matthew E Hudson
- DOE Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), University of Illinois, Urbana-Champaign, IL, 61801, USA.,Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois, 1206 West Gregory Drive, Urbana, IL, 61801, USA
| | - Erik J Sacks
- DOE Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), University of Illinois, Urbana-Champaign, IL, 61801, USA.,Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois, 1206 West Gregory Drive, Urbana, IL, 61801, USA
| | - Stephen P Moose
- DOE Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), University of Illinois, Urbana-Champaign, IL, 61801, USA.,Department of Crop Sciences, University of Illinois, 1102S Goodwin Ave, Urbana, IL, 61801, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois, 1206 West Gregory Drive, Urbana, IL, 61801, USA
| | - Kankshita Swaminathan
- DOE Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), University of Illinois, Urbana-Champaign, IL, 61801, USA. .,HudsonAlpha Biotechnology Institute, 601 Genome Way Northwest, Huntsville, AL, 35806, USA.
| | - Daniel S Rokhsar
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA. .,DOE Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), University of Illinois, Urbana-Champaign, IL, 61801, USA. .,U.S. Department of Energy Joint Genome Institute, Berkeley, CA, 94720, USA. .,Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa, 9040495, Japan. .,Chan-Zuckerberg BioHub, 499 Illinois St, San Francisco, CA, 94158, USA.
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32
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Putintseva YA, Bondar EI, Simonov EP, Sharov VV, Oreshkova NV, Kuzmin DA, Konstantinov YM, Shmakov VN, Belkov VI, Sadovsky MG, Keech O, Krutovsky KV. Siberian larch (Larix sibirica Ledeb.) mitochondrial genome assembled using both short and long nucleotide sequence reads is currently the largest known mitogenome. BMC Genomics 2020; 21:654. [PMID: 32972367 PMCID: PMC7517811 DOI: 10.1186/s12864-020-07061-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 09/10/2020] [Indexed: 01/01/2023] Open
Abstract
Background Plant mitochondrial genomes (mitogenomes) can be structurally complex while their size can vary from ~ 222 Kbp in Brassica napus to 11.3 Mbp in Silene conica. To date, in comparison with the number of plant species, only a few plant mitogenomes have been sequenced and released, particularly for conifers (the Pinaceae family). Conifers cover an ancient group of land plants that includes about 600 species, and which are of great ecological and economical value. Among them, Siberian larch (Larix sibirica Ledeb.) represents one of the keystone species in Siberian boreal forests. Yet, despite its importance for evolutionary and population studies, the mitogenome of Siberian larch has not yet been assembled and studied. Results Two sources of DNA sequences were used to search for mitochondrial DNA (mtDNA) sequences: mtDNA enriched samples and nucleotide reads generated in the de novo whole genome sequencing project, respectively. The assembly of the Siberian larch mitogenome contained nine contigs, with the shortest and the largest contigs being 24,767 bp and 4,008,762 bp, respectively. The total size of the genome was estimated at 11.7 Mbp. In total, 40 protein-coding, 34 tRNA, and 3 rRNA genes and numerous repetitive elements (REs) were annotated in this mitogenome. In total, 864 C-to-U RNA editing sites were found for 38 out of 40 protein-coding genes. The immense size of this genome, currently the largest reported, can be partly explained by variable numbers of mobile genetic elements, and introns, but unlikely by plasmid-related sequences. We found few plasmid-like insertions representing only 0.11% of the entire Siberian larch mitogenome. Conclusions Our study showed that the size of the Siberian larch mitogenome is much larger than in other so far studied Gymnosperms, and in the same range as for the annual flowering plant Silene conica (11.3 Mbp). Similar to other species, the Siberian larch mitogenome contains relatively few genes, and despite its huge size, the repeated and low complexity regions cover only 14.46% of the mitogenome sequence.
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Affiliation(s)
- Yuliya A Putintseva
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia
| | - Eugeniya I Bondar
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center", Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russia
| | - Evgeniy P Simonov
- Institute of Environmental and Agricultural Biology (X-BIO), University of Tyumen, Tyumen, 625003, Russia
| | - Vadim V Sharov
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center", Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russia.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, 660074, Russia
| | - Natalya V Oreshkova
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center", Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russia.,Laboratory of Forest Genetics and Selection, V. N. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russia
| | - Dmitry A Kuzmin
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, 660074, Russia
| | - Yuri M Konstantinov
- Laboratory of Plant Genetic Engineering, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch, Russian Academy of Sciences, Irkutsk, 664033, Russia
| | - Vladimir N Shmakov
- Laboratory of Plant Genetic Engineering, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch, Russian Academy of Sciences, Irkutsk, 664033, Russia
| | - Vadim I Belkov
- Laboratory of Plant Genetic Engineering, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch, Russian Academy of Sciences, Irkutsk, 664033, Russia
| | - Michael G Sadovsky
- Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russia
| | - Olivier Keech
- Department of Plant Physiology, UPSC, Umeå University, S-90187, Umeå, Sweden
| | - Konstantin V Krutovsky
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia. .,Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077, Göttingen, Germany. .,Center for Integrated Breeding Research, George-August University of Göttingen, 37075, Göttingen, Germany. .,Laboratory of Population Genetics, N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119333, Russia. .,Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, 77843-2138, USA.
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Genome wide annotation and characterization of young, intact long terminal repeat retrotransposons (In-LTR-RTs) of seven legume species. Genetica 2020; 148:253-268. [PMID: 32949338 DOI: 10.1007/s10709-020-00103-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 09/02/2020] [Indexed: 10/23/2022]
Abstract
Availability of genome sequence of different legume species has provided an opportunity to characterize the abundance, distribution, and divergence of canonical intact long terminal retrotransposons (In-LTR-RT) superfamilies. Among seven legume species, Arachis ipaensis (Aip) showed the highest number of full-length canonical In-LTR-RTs (3325), followed by Glycine max (Gma, 2328), Vigna angularis (Van, 1625), Arachis durensis (Adu, 1348), Lotus japonicus (Lja, 1294), Medicago truncatula (Mtr, 788), and Circer arietinum (Car, 124). Divergence time analysis demonstrated that the amplification timeframe of LTR-RTs dramatically varied in different families. The average insertion time of Copia element varied from 0.51 (Van) to 1.37 million years ago (Mya) (Adu, and Aip), whereas that of Gypsy was between 0.22 (Mtr) and 1.82 Mya (Adu). Bayesian phylogenetic tree analysis suggested that the 1397 and 1917 reverse transcriptase (RT) domains of Copia and Gypsy families of the seven legume species were clustered into 7 and 14 major groups, respectively. The highest proportion (approximately 94.79-100%) of transposable element (TE)-associated genes assigned to pathways was mapped to metabolism-related pathways in all species. The results enabled the structural understanding of full-length In-LTR-RTs and will be valuable resource for the further study of the impact of TEs on gene structure and expression in legume species.
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Dumschott K, Schmidt MHW, Chawla HS, Snowdon R, Usadel B. Oxford Nanopore sequencing: new opportunities for plant genomics? JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:5313-5322. [PMID: 32459850 PMCID: PMC7501810 DOI: 10.1093/jxb/eraa263] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 05/25/2020] [Indexed: 05/06/2023]
Abstract
DNA sequencing was dominated by Sanger's chain termination method until the mid-2000s, when it was progressively supplanted by new sequencing technologies that can generate much larger quantities of data in a shorter time. At the forefront of these developments, long-read sequencing technologies (third-generation sequencing) can produce reads that are several kilobases in length. This greatly improves the accuracy of genome assemblies by spanning the highly repetitive segments that cause difficulty for second-generation short-read technologies. Third-generation sequencing is especially appealing for plant genomes, which can be extremely large with long stretches of highly repetitive DNA. Until recently, the low basecalling accuracy of third-generation technologies meant that accurate genome assembly required expensive, high-coverage sequencing followed by computational analysis to correct for errors. However, today's long-read technologies are more accurate and less expensive, making them the method of choice for the assembly of complex genomes. Oxford Nanopore Technologies (ONT), a third-generation platform for the sequencing of native DNA strands, is particularly suitable for the generation of high-quality assemblies of highly repetitive plant genomes. Here we discuss the benefits of ONT, especially for the plant science community, and describe the issues that remain to be addressed when using ONT for plant genome sequencing.
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Affiliation(s)
- Kathryn Dumschott
- Institute for Biology I, BioSC, RWTH Aachen University, Aachen, Germany
- IBG-4 Bioinformatics, CEPLAS, Forschungszentrum Jülich, Jülich, Germany
| | - Maximilian H-W Schmidt
- Institute for Biology I, BioSC, RWTH Aachen University, Aachen, Germany
- IBG-4 Bioinformatics, CEPLAS, Forschungszentrum Jülich, Jülich, Germany
| | - Harmeet Singh Chawla
- Department of Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
| | - Rod Snowdon
- Department of Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
| | - Björn Usadel
- Institute for Biology I, BioSC, RWTH Aachen University, Aachen, Germany
- IBG-4 Bioinformatics, CEPLAS, Forschungszentrum Jülich, Jülich, Germany
- Institute for Biological Data Science, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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Zavallo D, Crescente JM, Gantuz M, Leone M, Vanzetti LS, Masuelli RW, Asurmendi S. Genomic re-assessment of the transposable element landscape of the potato genome. PLANT CELL REPORTS 2020; 39:1161-1174. [PMID: 32435866 DOI: 10.1007/s00299-020-02554-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 05/07/2020] [Indexed: 05/14/2023]
Abstract
We provide a comprehensive and reliable potato TE landscape, based on a wide variety of identification tools and integrative approaches, producing clear and ready-to-use outputs for the scientific community. Transposable elements (TEs) are DNA sequences with the ability to autoreplicate and move throughout the host genome. TEs are major drivers in stress response and genome evolution. Given their significance, the development of clear and efficient TE annotation pipelines has become essential for many species. The latest de novo TE discovery tools, along with available TEs from Repbase and sRNA-seq data, allowed us to perform a reliable potato TEs detection, classification and annotation through an open-source and freely available pipeline ( https://github.com/DiegoZavallo/TE_Discovery ). Using a variety of tools, approaches and rules, we were able to provide a clearly annotated of characterized TEs landscape. Additionally, we described the distribution of the different types of TEs across the genome, where LTRs and MITEs present a clear clustering pattern in pericentromeric and subtelomeric/telomeric regions respectively. Finally, we analyzed the insertion age and distribution of LTR retrotransposon families which display a distinct pattern between the two major superfamilies. While older Gypsy elements concentrated around heterochromatic regions, younger Copia elements located predominantly on euchromatic regions. Overall, we delivered not only a reliable, ready-to-use potato TE annotation files, but also all the necessary steps to perform de novo detection for other species.
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Affiliation(s)
- Diego Zavallo
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Los Reseros y Nicolas Repeto, Hurlingham, Argentina.
| | - Juan Manuel Crescente
- Grupo Biotecnologia y Recursos Genéticos, EEA INTA Marcos Juárez, Ruta 12 Km 3, 2580, Marcos Juárez, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Magdalena Gantuz
- Instituto de Biología Agrícola de Mendoza (IBAM), Facultad de Ciencias Agrarias (FCA), CONICET-UNCuyo, Almirante Brown 500, M5528AHB, Chacras de Coria, Mendoza, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Melisa Leone
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Los Reseros y Nicolas Repeto, Hurlingham, Argentina
- Agencia Nacional de Promocion Científica y Tecnológica (ANPCyT), Buenos Aires, Argentina
| | - Leonardo Sebastian Vanzetti
- Grupo Biotecnologia y Recursos Genéticos, EEA INTA Marcos Juárez, Ruta 12 Km 3, 2580, Marcos Juárez, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Ricardo Williams Masuelli
- Instituto de Biología Agrícola de Mendoza (IBAM), Facultad de Ciencias Agrarias (FCA), CONICET-UNCuyo, Almirante Brown 500, M5528AHB, Chacras de Coria, Mendoza, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Sebastian Asurmendi
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Los Reseros y Nicolas Repeto, Hurlingham, Argentina.
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Tyagi S, Shumayla, Verma PC, Singh K, Upadhyay SK. Molecular characterization of ascorbate peroxidase (APX) and APX-related (APX-R) genes in Triticum aestivum L. Genomics 2020; 112:4208-4223. [PMID: 32681868 DOI: 10.1016/j.ygeno.2020.07.023] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 04/14/2020] [Accepted: 07/10/2020] [Indexed: 12/22/2022]
Abstract
Ascorbate peroxidases (APXs) are heme-dependent H2O2 scavenging enzymes involved in myriad biological processes. Herein, a total of 21 TaAPX and six TaAPX-R genes were identified from the A, B and D sub-genomes of Triticum aestivum L. The occurrence of three paralogous gene pairs with unequal evolutionary rate suggested functional divergence. The phylogenetic analysis formed four distinct clades having conserved gene and protein architecture, and sub-cellular localization. The tertiary structure analysis revealed the presence of helices and coils and residues involved in ligand binding. Transcriptional profiling of each TaAPX and TaAPX-R gene suggested their specific role during development and stress response. Modulated transcript expression and APX enzyme activity during various stress conditions indicated their role in stress response. Interaction analyses suggested their association with other genes, miRNAs and various legends. The present study reported numerous features of these genes, and may provide a platform for their detailed functional characterization in future studies.
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Affiliation(s)
- Shivi Tyagi
- Department of Botany, Panjab University, Chandigarh 160014, India
| | - Shumayla
- Department of Botany, Panjab University, Chandigarh 160014, India
| | - Praveen Chandra Verma
- CSIR-National Botanical Research Institute, Council of Scientific and Industrial Research, Rana Pratap Marg, Lucknow UP-226001, India
| | - Kashmir Singh
- Department of Biotechnology, Panjab University, Chandigarh 160014, India
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O'Neill K, Brocks D, Hammell MG. Mobile genomics: tools and techniques for tackling transposons. Philos Trans R Soc Lond B Biol Sci 2020; 375:20190345. [PMID: 32075565 PMCID: PMC7061981 DOI: 10.1098/rstb.2019.0345] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/20/2019] [Indexed: 12/22/2022] Open
Abstract
Next-generation sequencing approaches have fundamentally changed the types of questions that can be asked about gene function and regulation. With the goal of approaching truly genome-wide quantifications of all the interaction partners and downstream effects of particular genes, these quantitative assays have allowed for an unprecedented level of detail in exploring biological interactions. However, many challenges remain in our ability to accurately describe and quantify the interactions that take place in those hard to reach and extremely repetitive regions of our genome comprised mostly of transposable elements (TEs). Tools dedicated to TE-derived sequences have lagged behind, making the inclusion of these sequences in genome-wide analyses difficult. Recent improvements, both computational and experimental, allow for the better inclusion of TE sequences in genomic assays and a renewed appreciation for the importance of TE biology. This review will discuss the recent improvements that have been made in the computational analysis of TE-derived sequences as well as the areas where such analysis still proves difficult. This article is part of a discussion meeting issue 'Crossroads between transposons and gene regulation'.
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Affiliation(s)
- Kathryn O'Neill
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - David Brocks
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
| | - Molly Gale Hammell
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
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Miniature inverted-repeat transposable elements (MITEs), derived insertional polymorphism as a tool of marker systems for molecular plant breeding. Mol Biol Rep 2020; 47:3155-3167. [PMID: 32162128 DOI: 10.1007/s11033-020-05365-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 02/29/2020] [Indexed: 12/20/2022]
Abstract
Plant molecular breeding is expected to give significant gains in cultivar development through development and utilization of suitable molecular marker systems for genetic diversity analysis, rapid DNA fingerprinting, identification of true hybrids, trait mapping and marker-assisted selection. Transposable elements (TEs) are the most abundant component in a genome and being used as genetic markers in the plant molecular breeding. Here, we review on the high copious transposable element belonging to class-II DNA TEs called "miniature inverted-repeat transposable elements" (MITEs). MITEs are ubiquitous, short and non-autonomous DNA transposable elements which have a tendency to insert into genes and genic regions have paved a way for the development of functional DNA marker systems in plant genomes. This review summarises the characteristics of MITEs, principles and methodologies for development of MITEs based DNA markers, bioinformatics tools and resources for plant MITE discovery and their utilization in crop improvement.
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Liu Y, Tang Q, Cheng P, Zhu M, Zhang H, Liu J, Zuo M, Huang C, Wu C, Sun Z, Liu Z. Whole-genome sequencing and analysis of the Chinese herbal plant Gelsemium elegans. Acta Pharm Sin B 2020; 10:374-382. [PMID: 32082980 PMCID: PMC7016290 DOI: 10.1016/j.apsb.2019.08.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 06/27/2019] [Accepted: 07/26/2019] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Gelsemium elegans (G. elegans) (2n = 2x = 16) is genus of flowering plants belonging to the Gelsemicaeae family. METHOD Here, a high-quality genome assembly using the Oxford Nanopore Technologies (ONT) platform and high-throughput chromosome conformation capture techniques (Hi-C) were used. RESULTS A total of 56.11 Gb of raw GridION X5 platform ONT reads (6.23 Gb per cell) were generated. After filtering, 53.45 Gb of clean reads were obtained, giving 160 × coverage depth. The de novo genome assemblies 335.13 Mb, close to the 338 Mb estimated by k-mer analysis, was generated with contig N50 of 10.23 Mb. The vast majority (99.2%) of the G. elegans assembled sequence was anchored onto 8 pseudo-chromosomes. The genome completeness was then evaluated and 1338 of the 1440 conserved genes (92.9%) could be found in the assembly. Genome annotation revealed that 43.16% of the G. elegans genome is composed of repetitive elements and 23.9% is composed of long terminal repeat elements. We predicted 26,768 protein-coding genes, of which 84.56% were functionally annotated. CONCLUSION The genomic sequences of G. elegans could be a valuable source for comparative genomic analysis in the Gelsemicaeae family and will be useful for understanding the phylogenetic relationships of the indole alkaloid metabolism.
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Ning DL, Wu T, Xiao LJ, Ma T, Fang WL, Dong RQ, Cao FL. Chromosomal-level assembly of Juglans sigillata genome using Nanopore, BioNano, and Hi-C analysis. Gigascience 2020; 9:giaa006. [PMID: 32101299 PMCID: PMC7043058 DOI: 10.1093/gigascience/giaa006] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 05/22/2019] [Accepted: 01/15/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Juglans sigillata, or iron walnut, belonging to the order Juglandales, is an economically important tree species in Asia, especially in the Yunnan province of China. However, little research has been conducted on J. sigillata at the molecular level, which hinders understanding of its evolution, speciation, and synthesis of secondary metabolites, as well as its wide adaptability to its plateau environment. To address these issues, a high-quality reference genome of J. sigillata would be useful. FINDINGS To construct a high-quality reference genome for J. sigillata, we first generated 38.0 Gb short reads and 66.31 Gb long reads using Illumina and Nanopore sequencing platforms, respectively. The sequencing data were assembled into a 536.50-Mb genome assembly with a contig N50 length of 4.31 Mb. Additionally, we applied BioNano technology to identify contacts among contigs, which were then used to assemble contigs into scaffolds, resulting in a genome assembly with scaffold N50 length of 16.43 Mb and contig N50 length of 4.34 Mb. To obtain a chromosome-level genome assembly, we constructed 1 Hi-C library and sequenced 79.97 Gb raw reads using the Illumina HiSeq platform. We anchored ∼93% of the scaffold sequences into 16 chromosomes and evaluated the quality of our assembly using the high contact frequency heat map. Repetitive elements account for 50.06% of the genome, and 30,387 protein-coding genes were predicted from the genome, of which 99.8% have been functionally annotated. The genome-wide phylogenetic tree indicated an estimated divergence time between J. sigillata and Juglans regia of 49 million years ago on the basis of single-copy orthologous genes. CONCLUSIONS We provide the first chromosome-level genome for J. sigillata. It will lay a valuable foundation for future research on the genetic improvement of J. sigillata.
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Affiliation(s)
- De-Lu Ning
- Central South University of Forestry and Technology, 498 Shaoshan South Rd, Changsha 410004, China
- Institute of Economic Forest, Yunnan Academy of Forestry and Grassland, 2 Lan'an Rd, Kunming 650201, China
| | - Tao Wu
- Institute of Economic Forest, Yunnan Academy of Forestry and Grassland, 2 Lan'an Rd, Kunming 650201, China
- Yunnan Laboratory for Conservation of Rare, Endangered & Endemic Forest Plants, Public Key Laboratory of the State Forestry Administration; Yunnan Provincial Key Laboratory of Cultivation and Exploitation of Forest Plants, 2 Lan'an Rd, Kunming 650201, China
| | - Liang-Jun Xiao
- Institute of Economic Forest, Yunnan Academy of Forestry and Grassland, 2 Lan'an Rd, Kunming 650201, China
| | - Ting Ma
- Institute of Economic Forest, Yunnan Academy of Forestry and Grassland, 2 Lan'an Rd, Kunming 650201, China
| | - Wen-Liang Fang
- Institute of Economic Forest, Yunnan Academy of Forestry and Grassland, 2 Lan'an Rd, Kunming 650201, China
| | - Run-Quan Dong
- Institute of Economic Forest, Yunnan Academy of Forestry and Grassland, 2 Lan'an Rd, Kunming 650201, China
| | - Fu-Liang Cao
- Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, 159 Longpan Rd, Nanjing 210037, China
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Sharma A, Tyagi S, Alok A, Singh K, Upadhyay SK. Thaumatin-like protein kinases: Molecular characterization and transcriptional profiling in five cereal crops. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2020. [PMID: 31779910 DOI: 10.1101/2020.09.24.311928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Thaumatin-like protein kinases (TLPKs) are defense related proteins having antimicrobial property. Herein, we identified two TLPKs in the genome of Brachypodium distachyon and Oryza sativa, four in Hordeum vulgare and Sorghum bicolor, and 16 in Triticum aestivum. All the TLPKs were located at only one chromosome in each plant except T. aestivum, where they were located on chromosome 2 and chromosome 3. Paralogous analysis suggested the occurrence of one duplication event (DE) in each B. distachyon and O. sativa, two in H. vulgare while four DEs in T. aestivum genome during the evolution of TLPKs. The majority of TLPKs were intron less, while a few contains one or two introns. The introns were found in each 0, 1 and 2 phase. Protein structure analysis suggested the occurrence of a thaumatin and a kinase domain with a transmembrane (TM) helix in each TLPK. Further, a thaumatin family signature motif "GX[GF]XCXT[GA]DCX(1,2)GX(2,3)C", a "REDDD" motif and 16 cysteine residues were found conserved in the majority of TLPKs. Expression analysis indicated variable expression of TLPKs in various tissues of different cereal crops. They were high expressing in reproductive tissues in B. distachyon, while in leaves in T. aestivum. Modulated expression of TaTLPKs in the presence of fungal pathogen, and heat, drought and salt stress in T. aestivum suggested their roles in stress response. Co-expression analysis showed interaction of TLPKs with various development and stress related genes. The results indicated diverse roles of TLPKs, which can be utilized for the development of eco-friendly pest resistant crops in future.
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Affiliation(s)
- Alok Sharma
- Department of Botany, Panjab University, Chandigarh, 160014, India
| | - Shivi Tyagi
- Department of Botany, Panjab University, Chandigarh, 160014, India
| | - Anshu Alok
- Department of Biotechnology, Panjab University, Chandigarh, 160014, India
| | - Kashmir Singh
- Department of Biotechnology, Panjab University, Chandigarh, 160014, India
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Sharma A, Tyagi S, Alok A, Singh K, Upadhyay SK. Thaumatin-like protein kinases: Molecular characterization and transcriptional profiling in five cereal crops. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2020; 290:110317. [PMID: 31779910 DOI: 10.1016/j.plantsci.2019.110317] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 10/11/2019] [Accepted: 10/15/2019] [Indexed: 06/10/2023]
Abstract
Thaumatin-like protein kinases (TLPKs) are defense related proteins having antimicrobial property. Herein, we identified two TLPKs in the genome of Brachypodium distachyon and Oryza sativa, four in Hordeum vulgare and Sorghum bicolor, and 16 in Triticum aestivum. All the TLPKs were located at only one chromosome in each plant except T. aestivum, where they were located on chromosome 2 and chromosome 3. Paralogous analysis suggested the occurrence of one duplication event (DE) in each B. distachyon and O. sativa, two in H. vulgare while four DEs in T. aestivum genome during the evolution of TLPKs. The majority of TLPKs were intron less, while a few contains one or two introns. The introns were found in each 0, 1 and 2 phase. Protein structure analysis suggested the occurrence of a thaumatin and a kinase domain with a transmembrane (TM) helix in each TLPK. Further, a thaumatin family signature motif "GX[GF]XCXT[GA]DCX(1,2)GX(2,3)C", a "REDDD" motif and 16 cysteine residues were found conserved in the majority of TLPKs. Expression analysis indicated variable expression of TLPKs in various tissues of different cereal crops. They were high expressing in reproductive tissues in B. distachyon, while in leaves in T. aestivum. Modulated expression of TaTLPKs in the presence of fungal pathogen, and heat, drought and salt stress in T. aestivum suggested their roles in stress response. Co-expression analysis showed interaction of TLPKs with various development and stress related genes. The results indicated diverse roles of TLPKs, which can be utilized for the development of eco-friendly pest resistant crops in future.
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Affiliation(s)
- Alok Sharma
- Department of Botany, Panjab University, Chandigarh, 160014, India
| | - Shivi Tyagi
- Department of Botany, Panjab University, Chandigarh, 160014, India
| | - Anshu Alok
- Department of Biotechnology, Panjab University, Chandigarh, 160014, India
| | - Kashmir Singh
- Department of Biotechnology, Panjab University, Chandigarh, 160014, India
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Marakli S. In silico determination of transposon-derived miRNAs and targets in Aegilops species. J Biomol Struct Dyn 2019; 38:3098-3109. [PMID: 31402758 DOI: 10.1080/07391102.2019.1654409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Transposable elements (TEs) are found almost in all living organism, shaping organisms' genomes. miRNAs are noncoding RNA types which are especially important in gene expression regulations. Many previously determined plant miRNAs are identical/homologous to transposons (TE-MIR). The aim of this study was computational characterization of novel TE-related miRNAs and their targets in Aegilops genome by using stringent criteria. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed by BLAST2GO. Seventeen novel TE-related miRNAs in Aegilops genome were identified for the first time. GO analyses indicated that 40 targets played different roles in biological processes, cellular components and molecular functions. Moreover, these genes were involved in 10 metabolic pathways such as purine metabolism, nitrogen metabolism, oxidative phosphorylation, etc. as a result of KEGG analyses. Identification of miRNAs and their targets are significant to understand miRNA-TEs relationships and even how TEs affect plant growth and development. Obtaining results of this study are expected to provide possible new insight into Aegilops and its related species, wheat, with respect to miRNAs evolution and domestication.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Sevgi Marakli
- Department of Medical Services and Techniques, Amasya University, Sabuncuoglu Serefeddin Health Services Vocational School, Amasya, Turkey.,Amasya University, Central Research Laboratory, Amasya, Turkey
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Structural Characterization of ABCB1, the Gene Underlying the d2 Dwarf Phenotype in Pearl Millet, Cenchrus Americanus (L.) Morrone. G3-GENES GENOMES GENETICS 2019; 9:2497-2509. [PMID: 31208958 PMCID: PMC6686935 DOI: 10.1534/g3.118.200846] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Pearl millet is an important food crop in arid and semi-arid regions of South Asia and sub-Saharan Africa and is grown in Australia and the United States as a summer fodder crop. The d2 dwarf germplasm has been widely used in the last half-century to develop high-performing pearl millet hybrids. We previously mapped the d2 phenotype to a 1.6 cM region in linkage group (LG) 4 and identified the ABCB1 gene as a candidate underlying the trait. Here, we report the sequence, structure and expression of ABCB1 in tall (D2D2) and d2 dwarf (d2d2) germplasm. The ABCB1 allele in d2 dwarfs differs from that in tall inbreds by the presence of two different high copy transposable elements, one in the coding region and the second located 664 bp upstream of the ATG start codon. These transposons were present in all d2 dwarfs tested that were reported to be of independent origin and absent in the analyzed wild-type tall germplasm. We also compared the expression profile of this gene in different organs of multiple tall and d2 dwarf inbreds, including the near-isogenic inbreds at the d2 locus, Tift 23B (D2D2) and Tift 23DB (d2d2). Heterologous transformation of the tall (Ca_ABCB1) and the d2 dwarf (Ca_abcb1) pearl millet alleles in the Arabidopsis double mutant abcb1abcb19 showed that the pearl millet D2 but not the d2 allele complements the Arabidopsis abcb1 mutation. Our studies also show the importance of the COOH-terminal 22 amino acids of the ABCB1 protein in either protein function or stability.
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Kiefer C, Willing EM, Jiao WB, Sun H, Piednoël M, Hümann U, Hartwig B, Koch MA, Schneeberger K. Interspecies association mapping links reduced CG to TG substitution rates to the loss of gene-body methylation. NATURE PLANTS 2019; 5:846-855. [PMID: 31358959 DOI: 10.1038/s41477-019-0486-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 06/25/2019] [Indexed: 05/18/2023]
Abstract
Comparative genomics can unravel the genetic basis of species differences; however, successful reports on quantitative traits are still scarce. Here we present genome assemblies of 31 so-far unassembled Brassicaceae plant species and combine them with 16 previously published assemblies to establish the Brassicaceae Diversity Panel. Using a new interspecies association strategy for quantitative traits, we found a so-far unknown association between the unexpectedly high variation in CG to TG substitution rates in genes and the absence of CHROMOMETHYLASE3 (CMT3) orthologues. Low substitution rates were associated with the loss of CMT3, while species with conserved CMT3 orthologues showed high substitution rates. Species without CMT3 also lacked gene-body methylation (gbM), suggesting an evolutionary trade-off between the unknown function of gbM and low substitution rates in Brassicaceae, possibly due to low mutability of non-methylated cytosines.
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Affiliation(s)
- Christiane Kiefer
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Department of Biodiversity and Plant Systematics, Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany
| | - Eva-Maria Willing
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- NEO New Oncology, Cologne, Germany
| | - Wen-Biao Jiao
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Hequan Sun
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Mathieu Piednoël
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Ulrike Hümann
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Benjamin Hartwig
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- NEO New Oncology, Cologne, Germany
| | - Marcus A Koch
- Department of Biodiversity and Plant Systematics, Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany
| | - Korbinian Schneeberger
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
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Ramakrishnan SM, Sidhu JS, Ali S, Kaur N, Wu J, Sehgal SK. Molecular characterization of bacterial leaf streak resistance in hard winter wheat. PeerJ 2019; 7:e7276. [PMID: 31341737 PMCID: PMC6637926 DOI: 10.7717/peerj.7276] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 06/07/2019] [Indexed: 11/20/2022] Open
Abstract
Bacterial leaf streak (BLS) caused by Xanthomonas campestris pv. translucens is one of the major bacterial diseases threatening wheat production in the United States Northern Great Plains (NGP) region. It is a sporadic but widespread wheat disease that can cause significant loss in grain yield and quality. Identification and characterization of genomic regions in wheat that confer resistance to BLS will help track resistance genes/QTLs in future wheat breeding. In this study, we evaluated a hard winter wheat association mapping panel (HWWAMP) containing 299 hard winter wheat lines from the US hard winter wheat growing region for their reactions to BLS. We observed a range of BLS responses among the lines, importantly, we identified ten genotypes that showed a resistant reaction both in greenhouse and field evaluation. -Genome-wide association analysis with 15,990 SNPs was conducted using an exponentially compressed mixed linear model. Five genomic regions (p < 0.001) that regulate the resistance to BLS were identified on chromosomes 1AL, 1BS, 3AL, 4AL, and 7AS. The QTLs Q.bls.sdsu-1AL, Q.bls.sdsu-1BS, Q.bls.sdsu-3AL, Q.bls.sdsu-4AL, and Q.bls.sdsu-7AS explain a total of 42% of the variation. In silico analysis of sequences in the candidate regions on chromosomes 1AL, 1BS, 3AL, 4AL, and 7AS identified 10, 25, 22, eight, and nine genes, respectively with known plant defense-related functions. Comparative analysis with rice showed two syntenic regions in rice that harbor genes for bacterial leaf streak resistance. The ten BLS resistant genotypes and SNP markers linked to the QTLs identified in our study could facilitate breeding for BLS resistance in winter wheat.
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Affiliation(s)
- Sai Mukund Ramakrishnan
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, USA
| | - Jagdeep Singh Sidhu
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, USA
| | - Shaukat Ali
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, USA
| | - Navjot Kaur
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, USA
| | - Jixiang Wu
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, USA
| | - Sunish K. Sehgal
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, USA
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47
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Weighill D, Macaya-Sanz D, DiFazio SP, Joubert W, Shah M, Schmutz J, Sreedasyam A, Tuskan G, Jacobson D. Wavelet-Based Genomic Signal Processing for Centromere Identification and Hypothesis Generation. Front Genet 2019; 10:487. [PMID: 31214244 PMCID: PMC6554479 DOI: 10.3389/fgene.2019.00487] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 05/06/2019] [Indexed: 12/14/2022] Open
Abstract
Various ‘omics data types have been generated for Populus trichocarpa, each providing a layer of information which can be represented as a density signal across a chromosome. We make use of genome sequence data, variants data across a population as well as methylation data across 10 different tissues, combined with wavelet-based signal processing to perform a comprehensive analysis of the signature of the centromere in these different data signals, and successfully identify putative centromeric regions in P. trichocarpa from these signals. Furthermore, using SNP (single nucleotide polymorphism) correlations across a natural population of P. trichocarpa, we find evidence for the co-evolution of the centromeric histone CENH3 with the sequence of the newly identified centromeric regions, and identify a new CENH3 candidate in P. trichocarpa.
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Affiliation(s)
- Deborah Weighill
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - David Macaya-Sanz
- Department of Biology, West Virginia University, Morgantown, WV, United States
| | | | - Wayne Joubert
- Oak Ridge Leadership Computing Facility, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Manesh Shah
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Jeremy Schmutz
- Department of Energy Joint Genome Institute, Walnut Creek, CA, United States.,HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | | | - Gerald Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Daniel Jacobson
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
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A high-quality apple genome assembly reveals the association of a retrotransposon and red fruit colour. Nat Commun 2019; 10:1494. [PMID: 30940818 PMCID: PMC6445120 DOI: 10.1038/s41467-019-09518-x] [Citation(s) in RCA: 162] [Impact Index Per Article: 32.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 03/13/2019] [Indexed: 01/14/2023] Open
Abstract
A complete and accurate genome sequence provides a fundamental tool for functional genomics and DNA-informed breeding. Here, we assemble a high-quality genome (contig N50 of 6.99 Mb) of the apple anther-derived homozygous line HFTH1, including 22 telomere sequences, using a combination of PacBio single-molecule real-time (SMRT) sequencing, chromosome conformation capture (Hi-C) sequencing, and optical mapping. In comparison to the Golden Delicious reference genome, we identify 18,047 deletions, 12,101 insertions and 14 large inversions. We reveal that these extensive genomic variations are largely attributable to activity of transposable elements. Interestingly, we find that a long terminal repeat (LTR) retrotransposon insertion upstream of MdMYB1, a core transcriptional activator of anthocyanin biosynthesis, is associated with red-skinned phenotype. This finding provides insights into the molecular mechanisms underlying red fruit coloration, and highlights the utility of this high-quality genome assembly in deciphering agriculturally important trait in apple. Existing apple genome assemblies all derive from Golden Delicious. Here, the authors combine different sequencing technologies to assemble a high quality genome of an anther-derived homozygous genotype HFTH1 and find the association of a retrotransposon and red fruit colour.
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Hu Y, Chen J, Fang L, Zhang Z, Ma W, Niu Y, Ju L, Deng J, Zhao T, Lian J, Baruch K, Fang D, Liu X, Ruan YL, Rahman MU, Han J, Wang K, Wang Q, Wu H, Mei G, Zang Y, Han Z, Xu C, Shen W, Yang D, Si Z, Dai F, Zou L, Huang F, Bai Y, Zhang Y, Brodt A, Ben-Hamo H, Zhu X, Zhou B, Guan X, Zhu S, Chen X, Zhang T. Gossypium barbadense and Gossypium hirsutum genomes provide insights into the origin and evolution of allotetraploid cotton. Nat Genet 2019. [PMID: 30886425 DOI: 10.1038/s41588-019-0371-375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Allotetraploid cotton is an economically important natural-fiber-producing crop worldwide. After polyploidization, Gossypium hirsutum L. evolved to produce a higher fiber yield and to better survive harsh environments than Gossypium barbadense, which produces superior-quality fibers. The global genetic and molecular bases for these interspecies divergences were unknown. Here we report high-quality de novo-assembled genomes for these two cultivated allotetraploid species with pronounced improvement in repetitive-DNA-enriched centromeric regions. Whole-genome comparative analyses revealed that species-specific alterations in gene expression, structural variations and expanded gene families were responsible for speciation and the evolutionary history of these species. These findings help to elucidate the evolution of cotton genomes and their domestication history. The information generated not only should enable breeders to improve fiber quality and resilience to ever-changing environmental conditions but also can be translated to other crops for better understanding of their domestication history and use in improvement.
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Affiliation(s)
- Yan Hu
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Jiedan Chen
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | - Lei Fang
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Zhiyuan Zhang
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | - Wei Ma
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | | | - Longzhen Ju
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Jieqiong Deng
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Ting Zhao
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | | | | | - David Fang
- Cotton Fiber Bioscience Research Unit, US Department of Agriculture-Agricultural Research Service-Southern Regional Research Center, New Orleans, LA, USA
| | - Xia Liu
- Esquel Group, Wanchai, Hong Kong, China
| | - Yong-Ling Ruan
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
- School of Environmental and Life Sciences and Australia-China Research Centre for Crop Improvement, University of Newcastle, Newcastle, New South Wales, Australia
| | - Mehboob-Ur Rahman
- Plant Genomics and Molecular Breeding Laboratory, National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan
| | - Jinlei Han
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Haixia Institute of Science and Technology, Fujian Agricultural and Forestry University, Fuzhou, China
| | - Kai Wang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Haixia Institute of Science and Technology, Fujian Agricultural and Forestry University, Fuzhou, China
| | - Qiong Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Huaitong Wu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Gaofu Mei
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Yihao Zang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Zegang Han
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Chenyu Xu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Weijuan Shen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Duofeng Yang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Zhanfeng Si
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | - Fan Dai
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | | | | | - Yulin Bai
- Esquel Group, Wanchai, Hong Kong, China
| | | | | | | | - Xiefei Zhu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Baoliang Zhou
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Xueying Guan
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Shuijin Zhu
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | - Xiaoya Chen
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Tianzhen Zhang
- Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China.
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50
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Gossypium barbadense and Gossypium hirsutum genomes provide insights into the origin and evolution of allotetraploid cotton. Nat Genet 2019; 51:739-748. [PMID: 30886425 DOI: 10.1038/s41588-019-0371-5] [Citation(s) in RCA: 432] [Impact Index Per Article: 86.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Accepted: 02/11/2019] [Indexed: 11/08/2022]
Abstract
Allotetraploid cotton is an economically important natural-fiber-producing crop worldwide. After polyploidization, Gossypium hirsutum L. evolved to produce a higher fiber yield and to better survive harsh environments than Gossypium barbadense, which produces superior-quality fibers. The global genetic and molecular bases for these interspecies divergences were unknown. Here we report high-quality de novo-assembled genomes for these two cultivated allotetraploid species with pronounced improvement in repetitive-DNA-enriched centromeric regions. Whole-genome comparative analyses revealed that species-specific alterations in gene expression, structural variations and expanded gene families were responsible for speciation and the evolutionary history of these species. These findings help to elucidate the evolution of cotton genomes and their domestication history. The information generated not only should enable breeders to improve fiber quality and resilience to ever-changing environmental conditions but also can be translated to other crops for better understanding of their domestication history and use in improvement.
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