ArticleFunctional & integrative genomics2020
Pod-shattering characteristics differences between two groups of soybeans are associated with specific changes in gene expression.
Article in Functional & integrative genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Stable loci and functional gene controlling pod shattering resistance across multiple environments under different genetic backgrounds in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Pod Dehiscence in Soybean: Genome Wide Association Study and Genomic Prediction.Plants (Basel, Switzerland) · 2025Article
- Article
- Paralogous Gene Recruitment in Multiple Families Constitutes Genetic Architecture and Robustness of Pod Dehiscence in Legumes.Genome biology and evolution · 2024Article
- AInternational journal of genomics · 2024Article
- Article
- QTL Mapping and Candidate Gene Analysis for Pod Shattering Tolerance in Soybean (Plants (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Soybean is an economically important leguminous crop, and pod dehiscence of soybean could cause huge yield loss. In this study, we measured fruit-cracking forces and percentages of dehisced pods for ten soybean accessions, then separated them into two groups as shattering-sensitive (SS) and shattering-resistant (SR) soybeans. Pod transcriptomes from these two groups were analyzed, and 225 differentially expressed genes (DEGs) were identified between SS and SR soybeans. Some of these DEGs have been previously reported to be associated with pod dehiscence in soybean. The expression patterns of selected DEGs were validated by real-time quantitative reverse transcription PCR, which confirmed the expression changes found in RNA-seq analysis. We also de novo identified 246 soybean pod-long intergenic ncRNAs (lincRNAs), 401 intronic lncRNAs, and 23 antisense lncRNAs from these transcriptomes. Furthermore, genes and lincRNAs co-expression network analysis showed that there are distinct expression patterns between SS and SR soybeans in some co-expression modules. In conclusion, we systematically investigated potential genes and molecular pathways as candidates for differences in soybean pod dehiscence and will provide a useful resource for molecular breeding of soybeans.
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Registered trials
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