Literature DB >> 31429863

Genome-wide analysis of the transcriptional response to drought stress in root and leaf of common bean.

Wendell Jacinto Pereira1,2, Arthur Tavares de Oliveira Melo3, Alexandre Siqueira Guedes Coelho3, Fabiana Aparecida Rodrigues4, Sujan Mamidi5, Sérgio Amorim de Alencar6, Anna Cristina Lanna7, Paula Arielle Mendes Ribeiro Valdisser7, Claudio Brondani7, Ivanildo Ramalho do Nascimento-Júnior8, Tereza Cristina de Oliveira Borba7, Rosana Pereira Vianello7.   

Abstract

Genes related to the response to drought stress in leaf and root tissue of drought-susceptible (DS) and tolerant (DT) genotypes were characterized by RNA-Seq. In total, 54,750 transcripts, representative of 28,590 genes, were identified; of these, 1,648 were of high-fidelity (merge of 12 libraries) and described for the first time in the Andean germplasm. From the 1,239 differentially expressed genes (DEGs), 458 were identified in DT, with a predominance of genes in categories of oxidative stress, response to stimulus and kinase activity. Most genes related to oxidation-reduction terms in roots were early triggered in DT (T75) compared to DS (T150) suggestive of a mechanism of tolerance by reducing the damage from ROS. Among the KEGG enriched by DEGs up-regulated in DT leaves, two related to the formation of Sulfur-containing compounds, which are known for their involvement in tolerance to abiotic stresses, were common to all treatments. Through qPCR, 88.64% of the DEGs were validated. A total of 151,283 variants were identified and functional effects estimated for 85,780. The raw data files were submitted to the NCBI database. A transcriptome map revealed new genes and isoforms under drought. These results supports a better understanding of the drought tolerance mechanisms in beans.

Entities:  

Year:  2020        PMID: 31429863      PMCID: PMC7307723          DOI: 10.1590/1678-4685-GMB-2018-0259

Source DB:  PubMed          Journal:  Genet Mol Biol        ISSN: 1415-4757            Impact factor:   1.771


  96 in total

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Journal:  Plant Cell Environ       Date:  2006-02       Impact factor: 7.228

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8.  HTSeq--a Python framework to work with high-throughput sequencing data.

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Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

9.  Transcriptional analysis of drought-induced genes in the roots of a tolerant genotype of the common bean (Phaseolus vulgaris L.).

Authors:  Gustavo Henrique Recchia; Danielle Gregorio Gomes Caldas; Ana Luiza Ahern Beraldo; Márcio José da Silva; Siu Mui Tsai
Journal:  Int J Mol Sci       Date:  2013-03-28       Impact factor: 5.923

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5.  Transcriptome Analyses of Near Isogenic Lines Reveal Putative Drought Tolerance Controlling Genes in Wheat.

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6.  Genome-wide transcriptional changes triggered by water deficit on a drought-tolerant common bean cultivar.

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  6 in total

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