ArticleBMC genomics2018
Study on differentially expressed genes related to defoliation traits in two alfalfa varieties based on RNA-Seq.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Foliar application of gamma aminobutyric acid regulates sulfur metabolism and restores redox balance to improve aluminum tolerance inPlant signaling & behavior · 2026Article
- Genome-wide association study (GWAS) and transcriptome analysis reveal new candidate genes for leaf size in alfalfa.BMC plant biology · 2026Article
- Combined transcriptomic and proteomic analysis reveals the response mechanisms of alfalfa to freezing stress.Frontiers in plant science · 2025Article
- MODMS: a multi-omics database for facilitating biological studies on alfalfa (Horticulture research · 2024Article
- Transcriptome and GWAS Analyses Reveal Candidate Gene for Root Traits of Alfalfa during Germination under Salt Stress.International journal of molecular sciences · 2023Article
- Deciphering aroma formation during flowering in nectar tree (Forestry research · 2023Article
- Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development.BMC plant biology · 2022Article
- A Genome-Wide Association Study Coupled With a Transcriptomic Analysis Reveals the Genetic Loci and Candidate Genes Governing the Flowering Time in Alfalfa (Frontiers in plant science · 2022Article
- Transcriptomic and chemical analyses to identify candidate genes involved in color variation of sainfoin flowers.BMC plant biology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundAlfalfa (Medicago sativa) is a widely cultivated, essential commercial forage crop. The protein content in its leaves is the critical factor in determining the quality of alfalfa. Thus far, the understanding of the molecular mechanism of alfalfa defoliation traits remains unclear. The transcriptome database created by RNA-Seq is used to identify critical genes related to defoliation traits.
resultsIn this study, we sequenced the transcriptomes of the Zhungeer variety (with easy leaf abscission) and WL319HQ variety (without easy leaf abscission). Among the identified 66,734 unigenes, 706 differentially expressed genes (DEGs) upregulated, and 392 unigenes downregulated in the Zhungeer vs WL319HQ leaf. KEGG pathway annotations showed that 8,414 unigenes were annotated to 87 pathways and contained 281 DEGs. Six DEGs belonging to the "Carotenoid biosynthesis", "Plant hormone signal transduction" and "Circadian rhythm-plant" pathways involved in defoliation traits were identified and validated by RT-qPCR analyses.
conclusionsThis study used RNA-Seq to discover genes associated with defoliation traits between two alfalfa varieties. Our transcriptome data dramatically enriches alfalfa functional genomic studies. In addition, these data provide theoretical guidance for field production practice and genetic breeding, as well as references for future study of defoliation traits in alfalfa.
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