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Study on differentially expressed genes related to defoliation traits in two alfalfa varieties based on RNA-Seq

BACKGROUND: Alfalfa (Medicago sativa) is a widely cultivated, essential commercial forage crop. The protein content in its leaves is the critical factor in determining the quality of alfalfa. Thus far, the understanding of the molecular mechanism of alfalfa defoliation traits remains unclear. The tr...

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Autores principales: Cheng, Qiming, Bai, Shiqie, Ge, Gentu, Li, Ping, Liu, Liying, Zhang, Chengdong, Jia, Yushan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223052/
https://www.ncbi.nlm.nih.gov/pubmed/30404602
http://dx.doi.org/10.1186/s12864-018-5180-1
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author Cheng, Qiming
Bai, Shiqie
Ge, Gentu
Li, Ping
Liu, Liying
Zhang, Chengdong
Jia, Yushan
author_facet Cheng, Qiming
Bai, Shiqie
Ge, Gentu
Li, Ping
Liu, Liying
Zhang, Chengdong
Jia, Yushan
author_sort Cheng, Qiming
collection PubMed
description BACKGROUND: Alfalfa (Medicago sativa) is a widely cultivated, essential commercial forage crop. The protein content in its leaves is the critical factor in determining the quality of alfalfa. Thus far, the understanding of the molecular mechanism of alfalfa defoliation traits remains unclear. The transcriptome database created by RNA-Seq is used to identify critical genes related to defoliation traits. RESULTS: In this study, we sequenced the transcriptomes of the Zhungeer variety (with easy leaf abscission) and WL319HQ variety (without easy leaf abscission). Among the identified 66,734 unigenes, 706 differentially expressed genes (DEGs) upregulated, and 392 unigenes downregulated in the Zhungeer vs WL319HQ leaf. KEGG pathway annotations showed that 8,414 unigenes were annotated to 87 pathways and contained 281 DEGs. Six DEGs belonging to the “Carotenoid biosynthesis”, “Plant hormone signal transduction” and “Circadian rhythm-plant” pathways involved in defoliation traits were identified and validated by RT-qPCR analyses. CONCLUSIONS: This study used RNA-Seq to discover genes associated with defoliation traits between two alfalfa varieties. Our transcriptome data dramatically enriches alfalfa functional genomic studies. In addition, these data provide theoretical guidance for field production practice and genetic breeding, as well as references for future study of defoliation traits in alfalfa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5180-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-62230522018-11-19 Study on differentially expressed genes related to defoliation traits in two alfalfa varieties based on RNA-Seq Cheng, Qiming Bai, Shiqie Ge, Gentu Li, Ping Liu, Liying Zhang, Chengdong Jia, Yushan BMC Genomics Research Article BACKGROUND: Alfalfa (Medicago sativa) is a widely cultivated, essential commercial forage crop. The protein content in its leaves is the critical factor in determining the quality of alfalfa. Thus far, the understanding of the molecular mechanism of alfalfa defoliation traits remains unclear. The transcriptome database created by RNA-Seq is used to identify critical genes related to defoliation traits. RESULTS: In this study, we sequenced the transcriptomes of the Zhungeer variety (with easy leaf abscission) and WL319HQ variety (without easy leaf abscission). Among the identified 66,734 unigenes, 706 differentially expressed genes (DEGs) upregulated, and 392 unigenes downregulated in the Zhungeer vs WL319HQ leaf. KEGG pathway annotations showed that 8,414 unigenes were annotated to 87 pathways and contained 281 DEGs. Six DEGs belonging to the “Carotenoid biosynthesis”, “Plant hormone signal transduction” and “Circadian rhythm-plant” pathways involved in defoliation traits were identified and validated by RT-qPCR analyses. CONCLUSIONS: This study used RNA-Seq to discover genes associated with defoliation traits between two alfalfa varieties. Our transcriptome data dramatically enriches alfalfa functional genomic studies. In addition, these data provide theoretical guidance for field production practice and genetic breeding, as well as references for future study of defoliation traits in alfalfa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5180-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-07 /pmc/articles/PMC6223052/ /pubmed/30404602 http://dx.doi.org/10.1186/s12864-018-5180-1 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
Cheng, Qiming
Bai, Shiqie
Ge, Gentu
Li, Ping
Liu, Liying
Zhang, Chengdong
Jia, Yushan
Study on differentially expressed genes related to defoliation traits in two alfalfa varieties based on RNA-Seq
title Study on differentially expressed genes related to defoliation traits in two alfalfa varieties based on RNA-Seq
title_full Study on differentially expressed genes related to defoliation traits in two alfalfa varieties based on RNA-Seq
title_fullStr Study on differentially expressed genes related to defoliation traits in two alfalfa varieties based on RNA-Seq
title_full_unstemmed Study on differentially expressed genes related to defoliation traits in two alfalfa varieties based on RNA-Seq
title_short Study on differentially expressed genes related to defoliation traits in two alfalfa varieties based on RNA-Seq
title_sort study on differentially expressed genes related to defoliation traits in two alfalfa varieties based on rna-seq
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223052/
https://www.ncbi.nlm.nih.gov/pubmed/30404602
http://dx.doi.org/10.1186/s12864-018-5180-1
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