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De novo Assembly and Transcriptomic Profiling of the Grazing Response in Stipa grandis

BACKGROUND: Stipa grandis (Poaceae) is one of the dominant species in a typical steppe of the Inner Mongolian Plateau. However, primarily due to heavy grazing, the grasslands have become seriously degraded, and S. grandis has developed a special growth-inhibition phenotype against the stressful habi...

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Autores principales: Wan, Dongli, Wan, Yongqing, Hou, Xiangyang, Ren, Weibo, Ding, Yong, Sa, Rula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395228/
https://www.ncbi.nlm.nih.gov/pubmed/25875617
http://dx.doi.org/10.1371/journal.pone.0122641
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author Wan, Dongli
Wan, Yongqing
Hou, Xiangyang
Ren, Weibo
Ding, Yong
Sa, Rula
author_facet Wan, Dongli
Wan, Yongqing
Hou, Xiangyang
Ren, Weibo
Ding, Yong
Sa, Rula
author_sort Wan, Dongli
collection PubMed
description BACKGROUND: Stipa grandis (Poaceae) is one of the dominant species in a typical steppe of the Inner Mongolian Plateau. However, primarily due to heavy grazing, the grasslands have become seriously degraded, and S. grandis has developed a special growth-inhibition phenotype against the stressful habitat. Because of the lack of transcriptomic and genomic information, the understanding of the molecular mechanisms underlying the grazing response of S. grandis has been prohibited. RESULTS: Using the Illumina HiSeq 2000 platform, two libraries prepared from non-grazing (FS) and overgrazing samples (OS) were sequenced. De novo assembly produced 94,674 unigenes, of which 65,047 unigenes had BLAST hits in the National Center for Biotechnology Information (NCBI) non-redundant (nr) database (E-value < 10(-5)). In total, 47,747, 26,156 and 40,842 unigenes were assigned to the Gene Ontology (GO), Clusters of Orthologous Group (COG), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, respectively. A total of 13,221 unigenes showed significant differences in expression under the overgrazing condition, with a threshold false discovery rate ≤ 0.001 and an absolute value of log(2)Ratio ≥ 1. These differentially expressed genes (DEGs) were assigned to 43,257 GO terms and were significantly enriched in 32 KEGG pathways (q-value ≤ 0.05). The alterations in the wound-, drought- and defense-related genes indicate that stressors have an additive effect on the growth inhibition of this species. CONCLUSIONS: This first large-scale transcriptome study will provide important information for further gene expression and functional genomics studies, and it facilitated our investigation of the molecular mechanisms of the S. grandis grazing response and the associated morphological and physiological characteristics.
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spelling pubmed-43952282015-04-21 De novo Assembly and Transcriptomic Profiling of the Grazing Response in Stipa grandis Wan, Dongli Wan, Yongqing Hou, Xiangyang Ren, Weibo Ding, Yong Sa, Rula PLoS One Research Article BACKGROUND: Stipa grandis (Poaceae) is one of the dominant species in a typical steppe of the Inner Mongolian Plateau. However, primarily due to heavy grazing, the grasslands have become seriously degraded, and S. grandis has developed a special growth-inhibition phenotype against the stressful habitat. Because of the lack of transcriptomic and genomic information, the understanding of the molecular mechanisms underlying the grazing response of S. grandis has been prohibited. RESULTS: Using the Illumina HiSeq 2000 platform, two libraries prepared from non-grazing (FS) and overgrazing samples (OS) were sequenced. De novo assembly produced 94,674 unigenes, of which 65,047 unigenes had BLAST hits in the National Center for Biotechnology Information (NCBI) non-redundant (nr) database (E-value < 10(-5)). In total, 47,747, 26,156 and 40,842 unigenes were assigned to the Gene Ontology (GO), Clusters of Orthologous Group (COG), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, respectively. A total of 13,221 unigenes showed significant differences in expression under the overgrazing condition, with a threshold false discovery rate ≤ 0.001 and an absolute value of log(2)Ratio ≥ 1. These differentially expressed genes (DEGs) were assigned to 43,257 GO terms and were significantly enriched in 32 KEGG pathways (q-value ≤ 0.05). The alterations in the wound-, drought- and defense-related genes indicate that stressors have an additive effect on the growth inhibition of this species. CONCLUSIONS: This first large-scale transcriptome study will provide important information for further gene expression and functional genomics studies, and it facilitated our investigation of the molecular mechanisms of the S. grandis grazing response and the associated morphological and physiological characteristics. Public Library of Science 2015-04-13 /pmc/articles/PMC4395228/ /pubmed/25875617 http://dx.doi.org/10.1371/journal.pone.0122641 Text en © 2015 Wan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wan, Dongli
Wan, Yongqing
Hou, Xiangyang
Ren, Weibo
Ding, Yong
Sa, Rula
De novo Assembly and Transcriptomic Profiling of the Grazing Response in Stipa grandis
title De novo Assembly and Transcriptomic Profiling of the Grazing Response in Stipa grandis
title_full De novo Assembly and Transcriptomic Profiling of the Grazing Response in Stipa grandis
title_fullStr De novo Assembly and Transcriptomic Profiling of the Grazing Response in Stipa grandis
title_full_unstemmed De novo Assembly and Transcriptomic Profiling of the Grazing Response in Stipa grandis
title_short De novo Assembly and Transcriptomic Profiling of the Grazing Response in Stipa grandis
title_sort de novo assembly and transcriptomic profiling of the grazing response in stipa grandis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395228/
https://www.ncbi.nlm.nih.gov/pubmed/25875617
http://dx.doi.org/10.1371/journal.pone.0122641
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