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A chickpea genetic variation map based on the sequencing of 3,366 genomes
Zero hunger and good health could be realized by 2030 through effective conservation, characterization and utilization of germplasm resources(1). So far, few chickpea (Cicer arietinum) germplasm accessions have been characterized at the genome sequence level(2). Here we present a detailed map of var...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612933/ https://www.ncbi.nlm.nih.gov/pubmed/34759320 http://dx.doi.org/10.1038/s41586-021-04066-1 |
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author | Varshney, Rajeev K. Roorkiwal, Manish Sun, Shuai Bajaj, Prasad Chitikineni, Annapurna Thudi, Mahendar Singh, Narendra P. Du, Xiao Upadhyaya, Hari D. Khan, Aamir W. Wang, Yue Garg, Vanika Fan, Guangyi Cowling, Wallace A. Crossa, José Gentzbittel, Laurent Voss-Fels, Kai Peter Valluri, Vinod Kumar Sinha, Pallavi Singh, Vikas K. Ben, Cécile Rathore, Abhishek Punna, Ramu Singh, Muneendra K. Tar’an, Bunyamin Bharadwaj, Chellapilla Yasin, Mohammad Pithia, Motisagar S. Singh, Servejeet Soren, Khela Ram Kudapa, Himabindu Jarquín, Diego Cubry, Philippe Hickey, Lee T. Dixit, Girish Prasad Thuillet, Anne-Céline Hamwieh, Aladdin Kumar, Shiv Deokar, Amit A. Chaturvedi, Sushil K. Francis, Aleena Howard, Réka Chattopadhyay, Debasis Edwards, David Lyons, Eric Vigouroux, Yves Hayes, Ben J. von Wettberg, Eric Datta, Swapan K. Yang, Huanming Nguyen, Henry T. Wang, Jian Siddique, Kadambot H. M. Mohapatra, Trilochan Bennetzen, Jeffrey L. Xu, Xun Liu, Xin |
author_facet | Varshney, Rajeev K. Roorkiwal, Manish Sun, Shuai Bajaj, Prasad Chitikineni, Annapurna Thudi, Mahendar Singh, Narendra P. Du, Xiao Upadhyaya, Hari D. Khan, Aamir W. Wang, Yue Garg, Vanika Fan, Guangyi Cowling, Wallace A. Crossa, José Gentzbittel, Laurent Voss-Fels, Kai Peter Valluri, Vinod Kumar Sinha, Pallavi Singh, Vikas K. Ben, Cécile Rathore, Abhishek Punna, Ramu Singh, Muneendra K. Tar’an, Bunyamin Bharadwaj, Chellapilla Yasin, Mohammad Pithia, Motisagar S. Singh, Servejeet Soren, Khela Ram Kudapa, Himabindu Jarquín, Diego Cubry, Philippe Hickey, Lee T. Dixit, Girish Prasad Thuillet, Anne-Céline Hamwieh, Aladdin Kumar, Shiv Deokar, Amit A. Chaturvedi, Sushil K. Francis, Aleena Howard, Réka Chattopadhyay, Debasis Edwards, David Lyons, Eric Vigouroux, Yves Hayes, Ben J. von Wettberg, Eric Datta, Swapan K. Yang, Huanming Nguyen, Henry T. Wang, Jian Siddique, Kadambot H. M. Mohapatra, Trilochan Bennetzen, Jeffrey L. Xu, Xun Liu, Xin |
author_sort | Varshney, Rajeev K. |
collection | PubMed |
description | Zero hunger and good health could be realized by 2030 through effective conservation, characterization and utilization of germplasm resources(1). So far, few chickpea (Cicer arietinum) germplasm accessions have been characterized at the genome sequence level(2). Here we present a detailed map of variation in 3,171 cultivated and 195 wild accessions to provide publicly available resources for chickpea genomics research and breeding. We constructed a chickpea pan-genome to describe genomic diversity across cultivated chickpea and its wild progenitor accessions. A divergence tree using genes present in around 80% of individuals in one species allowed us to estimate the divergence of Cicer over the last 21 million years. Our analysis found chromosomal segments and genes that show signatures of selection during domestication, migration and improvement. The chromosomal locations of deleterious mutations responsible for limited genetic diversity and decreased fitness were identified in elite germplasm. We identified superior haplotypes for improvement-related traits in landraces that can be introgressed into elite breeding lines through haplotype-based breeding, and found targets for purging deleterious alleles through genomics-assisted breeding and/or gene editing. Finally, we propose three crop breeding strategies based on genomic prediction to enhance crop productivity for 16 traits while avoiding the erosion of genetic diversity through optimal contribution selection (OCS)-based pre-breeding. The predicted performance for 100-seed weight, an important yield-related trait, increased by up to 23% and 12% with OCS- and haplotype-based genomic approaches, respectively. |
format | Online Article Text |
id | pubmed-8612933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86129332021-12-10 A chickpea genetic variation map based on the sequencing of 3,366 genomes Varshney, Rajeev K. Roorkiwal, Manish Sun, Shuai Bajaj, Prasad Chitikineni, Annapurna Thudi, Mahendar Singh, Narendra P. Du, Xiao Upadhyaya, Hari D. Khan, Aamir W. Wang, Yue Garg, Vanika Fan, Guangyi Cowling, Wallace A. Crossa, José Gentzbittel, Laurent Voss-Fels, Kai Peter Valluri, Vinod Kumar Sinha, Pallavi Singh, Vikas K. Ben, Cécile Rathore, Abhishek Punna, Ramu Singh, Muneendra K. Tar’an, Bunyamin Bharadwaj, Chellapilla Yasin, Mohammad Pithia, Motisagar S. Singh, Servejeet Soren, Khela Ram Kudapa, Himabindu Jarquín, Diego Cubry, Philippe Hickey, Lee T. Dixit, Girish Prasad Thuillet, Anne-Céline Hamwieh, Aladdin Kumar, Shiv Deokar, Amit A. Chaturvedi, Sushil K. Francis, Aleena Howard, Réka Chattopadhyay, Debasis Edwards, David Lyons, Eric Vigouroux, Yves Hayes, Ben J. von Wettberg, Eric Datta, Swapan K. Yang, Huanming Nguyen, Henry T. Wang, Jian Siddique, Kadambot H. M. Mohapatra, Trilochan Bennetzen, Jeffrey L. Xu, Xun Liu, Xin Nature Article Zero hunger and good health could be realized by 2030 through effective conservation, characterization and utilization of germplasm resources(1). So far, few chickpea (Cicer arietinum) germplasm accessions have been characterized at the genome sequence level(2). Here we present a detailed map of variation in 3,171 cultivated and 195 wild accessions to provide publicly available resources for chickpea genomics research and breeding. We constructed a chickpea pan-genome to describe genomic diversity across cultivated chickpea and its wild progenitor accessions. A divergence tree using genes present in around 80% of individuals in one species allowed us to estimate the divergence of Cicer over the last 21 million years. Our analysis found chromosomal segments and genes that show signatures of selection during domestication, migration and improvement. The chromosomal locations of deleterious mutations responsible for limited genetic diversity and decreased fitness were identified in elite germplasm. We identified superior haplotypes for improvement-related traits in landraces that can be introgressed into elite breeding lines through haplotype-based breeding, and found targets for purging deleterious alleles through genomics-assisted breeding and/or gene editing. Finally, we propose three crop breeding strategies based on genomic prediction to enhance crop productivity for 16 traits while avoiding the erosion of genetic diversity through optimal contribution selection (OCS)-based pre-breeding. The predicted performance for 100-seed weight, an important yield-related trait, increased by up to 23% and 12% with OCS- and haplotype-based genomic approaches, respectively. Nature Publishing Group UK 2021-11-10 2021 /pmc/articles/PMC8612933/ /pubmed/34759320 http://dx.doi.org/10.1038/s41586-021-04066-1 Text en © The Author(s) 2021, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Varshney, Rajeev K. Roorkiwal, Manish Sun, Shuai Bajaj, Prasad Chitikineni, Annapurna Thudi, Mahendar Singh, Narendra P. Du, Xiao Upadhyaya, Hari D. Khan, Aamir W. Wang, Yue Garg, Vanika Fan, Guangyi Cowling, Wallace A. Crossa, José Gentzbittel, Laurent Voss-Fels, Kai Peter Valluri, Vinod Kumar Sinha, Pallavi Singh, Vikas K. Ben, Cécile Rathore, Abhishek Punna, Ramu Singh, Muneendra K. Tar’an, Bunyamin Bharadwaj, Chellapilla Yasin, Mohammad Pithia, Motisagar S. Singh, Servejeet Soren, Khela Ram Kudapa, Himabindu Jarquín, Diego Cubry, Philippe Hickey, Lee T. Dixit, Girish Prasad Thuillet, Anne-Céline Hamwieh, Aladdin Kumar, Shiv Deokar, Amit A. Chaturvedi, Sushil K. Francis, Aleena Howard, Réka Chattopadhyay, Debasis Edwards, David Lyons, Eric Vigouroux, Yves Hayes, Ben J. von Wettberg, Eric Datta, Swapan K. Yang, Huanming Nguyen, Henry T. Wang, Jian Siddique, Kadambot H. M. Mohapatra, Trilochan Bennetzen, Jeffrey L. Xu, Xun Liu, Xin A chickpea genetic variation map based on the sequencing of 3,366 genomes |
title | A chickpea genetic variation map based on the sequencing of 3,366 genomes |
title_full | A chickpea genetic variation map based on the sequencing of 3,366 genomes |
title_fullStr | A chickpea genetic variation map based on the sequencing of 3,366 genomes |
title_full_unstemmed | A chickpea genetic variation map based on the sequencing of 3,366 genomes |
title_short | A chickpea genetic variation map based on the sequencing of 3,366 genomes |
title_sort | chickpea genetic variation map based on the sequencing of 3,366 genomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612933/ https://www.ncbi.nlm.nih.gov/pubmed/34759320 http://dx.doi.org/10.1038/s41586-021-04066-1 |
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