Evidence map›Paper›PMID 31363917›Full record

ArticleGenes & genomics2019

Comparative transcriptome analysis reveals higher expression of stress and defense responsive genes in dwarf soybeans obtained from the crossing of G. max and G. soja.

Yong-Wook Ban, Neha Samir Roy, Heejung Yang, Hong-Kyu Choi, Jin-Hyun Kim, Prakash Babu, Keon-Soo Ha, Jin-Kwan Ham, Kyong Cheul Park, Ik-Young Choi

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Article in Genes & genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Full-length transcriptome analysis identifiesFrontiers in plant science · 2026
    Article
  2. Article
  3. Targeted Metabolic and Transcriptomic Analysis ofCurrent issues in molecular biology · 2022
    Article
  4. Article
  5. Identifying Terpenoid Biosynthesis Genes inMolecules (Basel, Switzerland) · 2022
    Article
  6. Article
  7. Article
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5 · Who and what money

Authors and funding

10 authors.

Yong-Wook BanDepartment of Agriculture and Life Industry, Kangwon National University, Chuncheon, 24341, South Korea.
Neha Samir RoyDepartment of Agriculture and Life Industry, Kangwon National University, Chuncheon, 24341, South Korea.
Heejung YangLaboratory of Natural Products Chemistry, College of Pharmacy, Kangwon National University, Chuncheon, 24341, South Korea.
Hong-Kyu ChoiDepartment of Molecular Genetics, Dong-A University, Busan, 49315, South Korea.
Jin-Hyun KimDepartment of Molecular Genetics, Dong-A University, Busan, 49315, South Korea.
Prakash BabuDepartment of Forest Environmental System, Kangwon National University, Chuncheon, 24341, South Korea.
Keon-Soo HaGangwondo Agricultural Research and Extension Services, Chuncheon, 24226, South Korea.
Jin-Kwan HamGangwondo Agricultural Research and Extension Services, Chuncheon, 24226, South Korea.
Kyong Cheul ParkDepartment of Agriculture and Life Industry, Kangwon National University, Chuncheon, 24341, South Korea.
Ik-Young ChoiDepartment of Agriculture and Life Industry, Kangwon National University, Chuncheon, 24341, South Korea. choii@kangwon.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlant height is an important component of plant architecture and significantly affects crop breeding practices and yield. Dwarfism in plants prevents lodging and therefore it's a desired trait in crops.

objectiveTo find differentially expressed genes to classify and understand the regulation of genes related to plant growth in mutant dwarf soybeans, which appeared in the F5 generation.

methodsWe obtained a few segregated dwarf soybeans in the populations derived from the crossing of Glycine max var. Peking and Glycine soja var. IT182936 in an F5 RIL population. These dwarf soybeans may be useful genetic resources for plant breeders, geneticists and biologists. Using the Illumina high-throughput platform, transcriptomes were generated and compared among normal and dwarf soybeans in triplicate.

conclusionWe found complex relationship of the expressed genes to plant growth. There were highly significantly up-/downregulated genes according to the comparison of gene expression in normal and dwarf soybeans. The genes related to disease and stress responses were found to be upregulated in dwarf soybeans. Such over-expression of disease resistance and other immune response genes can be targeted to understand how the immune genes regulate the response of plant growth. In addition, photosynthesis-related genes showed very low expression in dwarf lines. The transcriptome expression and genes classified as related to plant growth may be useful resources to researchers studying plant growth.

Indexed as

Disease ResistanceHybridization, GeneticStress, PhysiologicalTranscriptomeCrops, AgriculturalGenes, PlantGlycine maxDEGDwarfGrowthSoybeanTranscriptome

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.