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Comparative transcriptome analysis between inbred and hybrids reveals molecular insights into yield heterosis of upland cotton

BACKGROUND: Utilization of heterosis has greatly improved the productivity of many crops worldwide. Understanding the potential molecular mechanism about how hybridization produces superior yield in upland cotton is critical for efficient breeding programs. RESULTS: In this study, high, medium, and...

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Autores principales: Shahzad, Kashif, Zhang, Xuexian, Guo, Liping, Qi, Tingxiang, Bao, Lisheng, Zhang, Meng, Zhang, Bingbing, Wang, Hailin, Tang, Huini, Qiao, Xiuqin, Feng, Juanjuan, Wu, Jianyong, Xing, Chaozhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251818/
https://www.ncbi.nlm.nih.gov/pubmed/32460693
http://dx.doi.org/10.1186/s12870-020-02442-z
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author Shahzad, Kashif
Zhang, Xuexian
Guo, Liping
Qi, Tingxiang
Bao, Lisheng
Zhang, Meng
Zhang, Bingbing
Wang, Hailin
Tang, Huini
Qiao, Xiuqin
Feng, Juanjuan
Wu, Jianyong
Xing, Chaozhu
author_facet Shahzad, Kashif
Zhang, Xuexian
Guo, Liping
Qi, Tingxiang
Bao, Lisheng
Zhang, Meng
Zhang, Bingbing
Wang, Hailin
Tang, Huini
Qiao, Xiuqin
Feng, Juanjuan
Wu, Jianyong
Xing, Chaozhu
author_sort Shahzad, Kashif
collection PubMed
description BACKGROUND: Utilization of heterosis has greatly improved the productivity of many crops worldwide. Understanding the potential molecular mechanism about how hybridization produces superior yield in upland cotton is critical for efficient breeding programs. RESULTS: In this study, high, medium, and low hybrids varying in the level of yield heterosis were screened based on field experimentation of different years and locations. Phenotypically, high hybrid produced a mean of 14% more seed cotton yield than its better parent. Whole-genome RNA sequencing of these hybrids and their four inbred parents was performed using different tissues of the squaring stage. Comparative transcriptomic differences in each hybrid parent triad revealed a higher percentage of differentially expressed genes (DEGs) in each tissue. Expression level dominance analysis identified majority of hybrids DEGs were biased towards parent like expressions. An array of DEGs involved in ATP and protein binding, membrane, cell wall, mitochondrion, and protein phosphorylation had more functional annotations in hybrids. Sugar metabolic and plant hormone signal transduction pathways were most enriched in each hybrid. Further, these two pathways had most mapped DEGs on known seed cotton yield QTLs. Integration of transcriptome, QTLs, and gene co-expression network analysis discovered genes Gh_A03G1024, Gh_D08G1440, Gh_A08G2210, Gh_A12G2183, Gh_D07G1312, Gh_D08G1467, Gh_A03G0889, Gh_A08G2199, and Gh_D05G0202 displayed a complex regulatory network of many interconnected genes. qRT-PCR of these DEGs was performed to ensure the accuracy of RNA-Seq data. CONCLUSIONS: Through genome-wide comparative transcriptome analysis, the current study identified nine key genes and pathways associated with biological process of yield heterosis in upland cotton. Our results and data resources provide novel insights and will be useful for dissecting the molecular mechanism of yield heterosis in cotton.
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spelling pubmed-72518182020-06-07 Comparative transcriptome analysis between inbred and hybrids reveals molecular insights into yield heterosis of upland cotton Shahzad, Kashif Zhang, Xuexian Guo, Liping Qi, Tingxiang Bao, Lisheng Zhang, Meng Zhang, Bingbing Wang, Hailin Tang, Huini Qiao, Xiuqin Feng, Juanjuan Wu, Jianyong Xing, Chaozhu BMC Plant Biol Research Article BACKGROUND: Utilization of heterosis has greatly improved the productivity of many crops worldwide. Understanding the potential molecular mechanism about how hybridization produces superior yield in upland cotton is critical for efficient breeding programs. RESULTS: In this study, high, medium, and low hybrids varying in the level of yield heterosis were screened based on field experimentation of different years and locations. Phenotypically, high hybrid produced a mean of 14% more seed cotton yield than its better parent. Whole-genome RNA sequencing of these hybrids and their four inbred parents was performed using different tissues of the squaring stage. Comparative transcriptomic differences in each hybrid parent triad revealed a higher percentage of differentially expressed genes (DEGs) in each tissue. Expression level dominance analysis identified majority of hybrids DEGs were biased towards parent like expressions. An array of DEGs involved in ATP and protein binding, membrane, cell wall, mitochondrion, and protein phosphorylation had more functional annotations in hybrids. Sugar metabolic and plant hormone signal transduction pathways were most enriched in each hybrid. Further, these two pathways had most mapped DEGs on known seed cotton yield QTLs. Integration of transcriptome, QTLs, and gene co-expression network analysis discovered genes Gh_A03G1024, Gh_D08G1440, Gh_A08G2210, Gh_A12G2183, Gh_D07G1312, Gh_D08G1467, Gh_A03G0889, Gh_A08G2199, and Gh_D05G0202 displayed a complex regulatory network of many interconnected genes. qRT-PCR of these DEGs was performed to ensure the accuracy of RNA-Seq data. CONCLUSIONS: Through genome-wide comparative transcriptome analysis, the current study identified nine key genes and pathways associated with biological process of yield heterosis in upland cotton. Our results and data resources provide novel insights and will be useful for dissecting the molecular mechanism of yield heterosis in cotton. BioMed Central 2020-05-27 /pmc/articles/PMC7251818/ /pubmed/32460693 http://dx.doi.org/10.1186/s12870-020-02442-z Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Shahzad, Kashif
Zhang, Xuexian
Guo, Liping
Qi, Tingxiang
Bao, Lisheng
Zhang, Meng
Zhang, Bingbing
Wang, Hailin
Tang, Huini
Qiao, Xiuqin
Feng, Juanjuan
Wu, Jianyong
Xing, Chaozhu
Comparative transcriptome analysis between inbred and hybrids reveals molecular insights into yield heterosis of upland cotton
title Comparative transcriptome analysis between inbred and hybrids reveals molecular insights into yield heterosis of upland cotton
title_full Comparative transcriptome analysis between inbred and hybrids reveals molecular insights into yield heterosis of upland cotton
title_fullStr Comparative transcriptome analysis between inbred and hybrids reveals molecular insights into yield heterosis of upland cotton
title_full_unstemmed Comparative transcriptome analysis between inbred and hybrids reveals molecular insights into yield heterosis of upland cotton
title_short Comparative transcriptome analysis between inbred and hybrids reveals molecular insights into yield heterosis of upland cotton
title_sort comparative transcriptome analysis between inbred and hybrids reveals molecular insights into yield heterosis of upland cotton
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251818/
https://www.ncbi.nlm.nih.gov/pubmed/32460693
http://dx.doi.org/10.1186/s12870-020-02442-z
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