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Integration of conventional and advanced molecular tools to track footprints of heterosis in cotton
BACKGROUND: Heterosis, a multigenic complex trait extrapolated as sum total of many phenotypic features, is widely utilized phenomenon in agricultural crops for about a century. It is mainly focused on establishing vigorous cultivars with the fact that its deployment in crops necessitates the perspe...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206862/ https://www.ncbi.nlm.nih.gov/pubmed/30373509 http://dx.doi.org/10.1186/s12864-018-5129-4 |
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author | Sarfraz, Zareen Iqbal, Muhammad Shahid Pan, Zhaoe Jia, Yinhua He, Shoupu Wang, Qinglian Qin, Hongde Liu, Jinhai Liu, Hui Yang, Jun Ma, Zhiying Xu, Dongyong Yang, Jinlong Zhang, Jinbiao Gong, Wenfang Geng, Xiaoli Li, Zhikun Cai, Zhongmin Zhang, Xuelin Zhang, Xin Huang, Aifen Yi, Xianda Zhou, Guanyin Li, Lin Zhu, Haiyong Qu, Yujie Pang, Baoyin Wang, Liru Iqbal, Muhammad Sajid Jamshed, Muhammad Sun, Junling Du, Xiongming |
author_facet | Sarfraz, Zareen Iqbal, Muhammad Shahid Pan, Zhaoe Jia, Yinhua He, Shoupu Wang, Qinglian Qin, Hongde Liu, Jinhai Liu, Hui Yang, Jun Ma, Zhiying Xu, Dongyong Yang, Jinlong Zhang, Jinbiao Gong, Wenfang Geng, Xiaoli Li, Zhikun Cai, Zhongmin Zhang, Xuelin Zhang, Xin Huang, Aifen Yi, Xianda Zhou, Guanyin Li, Lin Zhu, Haiyong Qu, Yujie Pang, Baoyin Wang, Liru Iqbal, Muhammad Sajid Jamshed, Muhammad Sun, Junling Du, Xiongming |
author_sort | Sarfraz, Zareen |
collection | PubMed |
description | BACKGROUND: Heterosis, a multigenic complex trait extrapolated as sum total of many phenotypic features, is widely utilized phenomenon in agricultural crops for about a century. It is mainly focused on establishing vigorous cultivars with the fact that its deployment in crops necessitates the perspective of genomic impressions on prior selection for metric traits. In spite of extensive investigations, the actual mysterious genetic basis of heterosis is yet to unravel. Contemporary crop breeding is aimed at enhanced crop production overcoming former achievements. Leading cotton improvement programs remained handicapped to attain significant accomplishments. RESULTS: In mentioned context, a comprehensive project was designed involving a large collection of cotton accessions including 284 lines, 5 testers along with their respective F(1) hybrids derived from Line × Tester mating design were evaluated under 10 diverse environments. Heterosis, GCA and SCA were estimated from morphological and fiber quality traits by L × T analysis. For the exploration of elite marker alleles related to heterosis and to provide the material carrying such multiple alleles the mentioned three dependent variables along with trait phenotype values were executed for association study aided by microsatellites in mixed linear model based on population structure and linkage disequilibrium analysis. Highly significant 46 microsatellites were discovered in association with the fiber and yield related traits under study. It was observed that two-thirds of the highly significant associated microsatellites related to fiber quality were distributed on D sub-genome, including some with pleiotropic effect. Newly discovered 32 hQTLs related to fiber quality traits are one of prominent findings from current study. A set of 96 exclusively favorable alleles were discovered and C tester (A971Bt) posited a major contributor of these alleles primarily associated with fiber quality. CONCLUSIONS: Hence, to uncover hidden facts lying within heterosis phenomenon, discovery of additional hQTLs is required to improve fibre quality. To grab prominent improvement in influenced fiber quality and yield traits, we suggest the A971 Bt cotton cultivar as fundamental element in advance breeding programs as a parent of choice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5129-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6206862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62068622018-10-31 Integration of conventional and advanced molecular tools to track footprints of heterosis in cotton Sarfraz, Zareen Iqbal, Muhammad Shahid Pan, Zhaoe Jia, Yinhua He, Shoupu Wang, Qinglian Qin, Hongde Liu, Jinhai Liu, Hui Yang, Jun Ma, Zhiying Xu, Dongyong Yang, Jinlong Zhang, Jinbiao Gong, Wenfang Geng, Xiaoli Li, Zhikun Cai, Zhongmin Zhang, Xuelin Zhang, Xin Huang, Aifen Yi, Xianda Zhou, Guanyin Li, Lin Zhu, Haiyong Qu, Yujie Pang, Baoyin Wang, Liru Iqbal, Muhammad Sajid Jamshed, Muhammad Sun, Junling Du, Xiongming BMC Genomics Research Article BACKGROUND: Heterosis, a multigenic complex trait extrapolated as sum total of many phenotypic features, is widely utilized phenomenon in agricultural crops for about a century. It is mainly focused on establishing vigorous cultivars with the fact that its deployment in crops necessitates the perspective of genomic impressions on prior selection for metric traits. In spite of extensive investigations, the actual mysterious genetic basis of heterosis is yet to unravel. Contemporary crop breeding is aimed at enhanced crop production overcoming former achievements. Leading cotton improvement programs remained handicapped to attain significant accomplishments. RESULTS: In mentioned context, a comprehensive project was designed involving a large collection of cotton accessions including 284 lines, 5 testers along with their respective F(1) hybrids derived from Line × Tester mating design were evaluated under 10 diverse environments. Heterosis, GCA and SCA were estimated from morphological and fiber quality traits by L × T analysis. For the exploration of elite marker alleles related to heterosis and to provide the material carrying such multiple alleles the mentioned three dependent variables along with trait phenotype values were executed for association study aided by microsatellites in mixed linear model based on population structure and linkage disequilibrium analysis. Highly significant 46 microsatellites were discovered in association with the fiber and yield related traits under study. It was observed that two-thirds of the highly significant associated microsatellites related to fiber quality were distributed on D sub-genome, including some with pleiotropic effect. Newly discovered 32 hQTLs related to fiber quality traits are one of prominent findings from current study. A set of 96 exclusively favorable alleles were discovered and C tester (A971Bt) posited a major contributor of these alleles primarily associated with fiber quality. CONCLUSIONS: Hence, to uncover hidden facts lying within heterosis phenomenon, discovery of additional hQTLs is required to improve fibre quality. To grab prominent improvement in influenced fiber quality and yield traits, we suggest the A971 Bt cotton cultivar as fundamental element in advance breeding programs as a parent of choice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5129-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-10-29 /pmc/articles/PMC6206862/ /pubmed/30373509 http://dx.doi.org/10.1186/s12864-018-5129-4 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Sarfraz, Zareen Iqbal, Muhammad Shahid Pan, Zhaoe Jia, Yinhua He, Shoupu Wang, Qinglian Qin, Hongde Liu, Jinhai Liu, Hui Yang, Jun Ma, Zhiying Xu, Dongyong Yang, Jinlong Zhang, Jinbiao Gong, Wenfang Geng, Xiaoli Li, Zhikun Cai, Zhongmin Zhang, Xuelin Zhang, Xin Huang, Aifen Yi, Xianda Zhou, Guanyin Li, Lin Zhu, Haiyong Qu, Yujie Pang, Baoyin Wang, Liru Iqbal, Muhammad Sajid Jamshed, Muhammad Sun, Junling Du, Xiongming Integration of conventional and advanced molecular tools to track footprints of heterosis in cotton |
title | Integration of conventional and advanced molecular tools to track footprints of heterosis in cotton |
title_full | Integration of conventional and advanced molecular tools to track footprints of heterosis in cotton |
title_fullStr | Integration of conventional and advanced molecular tools to track footprints of heterosis in cotton |
title_full_unstemmed | Integration of conventional and advanced molecular tools to track footprints of heterosis in cotton |
title_short | Integration of conventional and advanced molecular tools to track footprints of heterosis in cotton |
title_sort | integration of conventional and advanced molecular tools to track footprints of heterosis in cotton |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206862/ https://www.ncbi.nlm.nih.gov/pubmed/30373509 http://dx.doi.org/10.1186/s12864-018-5129-4 |
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