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Transcriptome profiling of gene expression in fall dormant and nondormant alfalfa

Fall dormancy (FD) is an adaptive trait in alfalfa (Medicago sativa L.). It appeared in the regrowth process in late summer or early autumn after alfalfa was harvested. FD affects the biomass accumulation and winter survival in high latitude area. However, the molecular mechanism under FD is still n...

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Detalles Bibliográficos
Autores principales: Zhang, Senhao, Wang, Chengzhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536029/
https://www.ncbi.nlm.nih.gov/pubmed/26484109
http://dx.doi.org/10.1016/j.gdata.2014.08.008
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author Zhang, Senhao
Wang, Chengzhang
author_facet Zhang, Senhao
Wang, Chengzhang
author_sort Zhang, Senhao
collection PubMed
description Fall dormancy (FD) is an adaptive trait in alfalfa (Medicago sativa L.). It appeared in the regrowth process in late summer or early autumn after alfalfa was harvested. FD affects the biomass accumulation and winter survival in high latitude area. However, the molecular mechanism under FD is still not clear at present. Performing RNA-seq of fall dormant and nondormant alfalfa varieties at different time points, we obtained differentially expressed genes between different FD types or time points. These differentially expressed genes may relate to FD in alfalfa. Here, we provide detailed experimental methods and analysis pipeline in our study (Zhang S et al., De novo Characterization of Fall Dormant and Nondormant Alfalfa (Medicago sativa L.) Transcriptome and Identification of Candidate Genes Relate to Fall Dormancy, submitted for publication) for reproducible research. Data generated in our work provide a resource to help decipher the molecular mechanism of FD in alfalfa.
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spelling pubmed-45360292015-10-19 Transcriptome profiling of gene expression in fall dormant and nondormant alfalfa Zhang, Senhao Wang, Chengzhang Genom Data Data in Brief Fall dormancy (FD) is an adaptive trait in alfalfa (Medicago sativa L.). It appeared in the regrowth process in late summer or early autumn after alfalfa was harvested. FD affects the biomass accumulation and winter survival in high latitude area. However, the molecular mechanism under FD is still not clear at present. Performing RNA-seq of fall dormant and nondormant alfalfa varieties at different time points, we obtained differentially expressed genes between different FD types or time points. These differentially expressed genes may relate to FD in alfalfa. Here, we provide detailed experimental methods and analysis pipeline in our study (Zhang S et al., De novo Characterization of Fall Dormant and Nondormant Alfalfa (Medicago sativa L.) Transcriptome and Identification of Candidate Genes Relate to Fall Dormancy, submitted for publication) for reproducible research. Data generated in our work provide a resource to help decipher the molecular mechanism of FD in alfalfa. Elsevier 2014-09-06 /pmc/articles/PMC4536029/ /pubmed/26484109 http://dx.doi.org/10.1016/j.gdata.2014.08.008 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Data in Brief
Zhang, Senhao
Wang, Chengzhang
Transcriptome profiling of gene expression in fall dormant and nondormant alfalfa
title Transcriptome profiling of gene expression in fall dormant and nondormant alfalfa
title_full Transcriptome profiling of gene expression in fall dormant and nondormant alfalfa
title_fullStr Transcriptome profiling of gene expression in fall dormant and nondormant alfalfa
title_full_unstemmed Transcriptome profiling of gene expression in fall dormant and nondormant alfalfa
title_short Transcriptome profiling of gene expression in fall dormant and nondormant alfalfa
title_sort transcriptome profiling of gene expression in fall dormant and nondormant alfalfa
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536029/
https://www.ncbi.nlm.nih.gov/pubmed/26484109
http://dx.doi.org/10.1016/j.gdata.2014.08.008
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