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Identification of drought response genes by digital gene expression (DGE) analysis in Caragana korshinskii Kom.

Yan Long | Fengping Liang | Jingwen Zhang | Mande Xue | Tianbao Zhang | Xinwu Pei
Gene | 2020

Caragana korshinskii Kom. is a legume shrub that is widely distributed across desert habitats with gravely, sandy, and saline soils in Asia and Africa. C. korshinskii has highly developed roots and a strong tolerance to abiotic stress. At present, there are few genetic studies of C. korshinskii because of the limited availability of genomic resources. To understand the comprehensive mechanisms that are associated with drought tolerance, we used RNA-seq to survey the differentially expressed genes (DEGs) in comparisons of drought-treated and control plants. After analysing the sequencing results, we found 440 differentially expressed genes existing in drought-treated and control plants. Among the DEGs, 39 unigenes showed up-regulated expression after drought treatment, while 401 unigenes were down-regulated. We used the KEGG database to annotate these drought-induced genes; 126 unigenes were identified by KEGG pathway annotation, and approximately 28% of the unigenes with known function fell into categories related to fatty acid metabolism, starch, sucrose metabolism, and nitrogen metabolism, suggesting that these pathways or processes may be involved in the drought response. Finally, we confirmed that one gene has a potential function in drought tolerance. Our study is the first to provide transcriptomic resources for Caragana korshinskii and to determine its digital gene expression profile under conditions of drought stress using the assembled transcriptomic data for reference. These data provide a valuable resource for genetic and genomic studies of desert plants under abiotic stress conditions.

Pubmed ID: 31647996

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Antibodies used in this publication

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BLASTX (tool)

RRID:SCR_001653

Web application to search protein databases using a translated nucleotide query. Translated BLAST services are useful when trying to find homologous proteins to a nucleotide coding region. Blastx compares translational products of the nucleotide query sequence to a protein database. Because blastx translates the query sequence in all six reading frames and provides combined significance statistics for hits to different frames, it is particularly useful when the reading frame of the query sequence is unknown or it contains errors that may lead to frame shifts or other coding errors. Thus blastx is often the first analysis performed with a newly determined nucleotide sequence and is used extensively in analyzing EST sequences. This search is more sensitive than nucleotide blast since the comparison is performed at the protein level.

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Blast2GO (tool)

RRID:SCR_005828

An ALL in ONE tool for functional annotation of (novel) sequences and the analysis of annotation data. Blast2GO (B2G) joins in one universal application similarity search based GO annotation and functional analysis. B2G offers the possibility of direct statistical analysis on gene function information and visualization of relevant functional features on a highlighted GO direct acyclic graph (DAG). Furthermore B2G includes various statistics charts summarizing the results obtained at BLASTing, GO-mapping, annotation and enrichment analysis (Fisher''''s Exact Test). All analysis process steps are configurable and data import and export are supported at any stage. The application also accepts pre-existing BLAST or annotation files and takes them to subsequent steps. The tool offers a very suitable platform for high throughput functional genomics research in non-model species. B2G is a species-independent, intuitive and interactive desktop application which allows monitoring and comprehending the whole annotation and analysis process supported by additional features like GO Slim integration, evidence code (EC) consideration, a Batch-Mode or GO-Multilevel-Pies. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

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COG (tool)

RRID:SCR_007139

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RSEM (tool)

RRID:SCR_013027

Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.

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