Evidence map›Paper›PMID 39201560›Full record

ArticleInternational journal of molecular sciences2024

Accurate Long-Read RNA Sequencing Analysis Reveals the Key Pathways and Candidate Genes under Drought Stress in the Seed Germination Stage in Faba Bean.

Xin Wen, Changyan Liu, Fangwen Yang, Zhengxin Wei, Li Li, Hongwei Chen, Xuesong Han, Chunhai Jiao, Aihua Sha

Abstract read
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Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Xin WenMARA Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River (Co-Construction by Ministry and Province)/Engineering Research Center of Ecology and Agricultural Use of Wetland of Ministry of Education, College of Agriculture, Yangtze University, Jingzhou 434025, China.
Changyan LiuInstitute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan 430064, China.
Fangwen YangShanghai Agrobiological Gene Center, Shanghai 201106, China.
Zhengxin WeiMARA Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River (Co-Construction by Ministry and Province)/Engineering Research Center of Ecology and Agricultural Use of Wetland of Ministry of Education, College of Agriculture, Yangtze University, Jingzhou 434025, China.
Li LiInstitute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan 430064, China.
Hongwei ChenInstitute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan 430064, China.
Xuesong HanInstitute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan 430064, China.
Chunhai JiaoInstitute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan 430064, China.
Aihua ShaMARA Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River (Co-Construction by Ministry and Province)/Engineering Research Center of Ecology and Agricultural Use of Wetland of Ministry of Education, College of Agriculture, Yangtze University, Jingzhou 434025, China.

Funding

National Key R&D Program of China 2019YFD1001305/2019YFD1001300National Technical System of Edible Bean Industry of China CARS-08Project of Hubei Agricultural Science and Technology Innovation Center 2021-620-000-001-01
6 · The paper itself

Abstract

Faba bean is an important pulse. It provides proteins for the human diet and is used in industrial foodstuffs, such as flours. Drought stress severely reduces the yield of faba bean, and this can be efficiently overcome through the identification and application of key genes in response to drought. In this study, PacBio and Illumina RNA sequencing techniques were used to identify the key pathways and candidate genes involved in drought stress response. During seed germination, a total of 17,927 full-length transcripts and 12,760 protein-coding genes were obtained. There were 1676 and 811 differentially expressed genes (DEGs) between the varieties E1 and C105 at 16 h and 64 h under drought stress, respectively. Six and nine KEGG pathways were significantly enriched at 16 h and 64 h under drought stress, which produced 40 and 184 nodes through protein-protein interaction (PPI) analysis, respectively. The DEGs of the PPI nodes were involved in the ABA (abscisic acid) and MAPK (mitogen-activated protein kinase) pathways, N-glycosylation, sulfur metabolism, and sugar metabolism. Furthermore, the ectopic overexpression of a key gene,

Indexed as

DroughtsGene Expression Regulation, PlantGerminationSeedsStress, PhysiologicalVicia fabaGene Expression ProfilingPlant ProteinsProtein Interaction MapsSequence Analysis, RNATranscriptomePlant Proteinsaspartate aminotransferasedifferentially expressed genesdrought responsefaba beanPacBio and Illumina RNA sequencing

Identifiers

PMID39201560
PMCPMC11354372

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