Biotechnology Bulletin ›› 2023, Vol. 39 ›› Issue (8): 173-184.doi: 10.13560/j.cnki.biotech.bull.1985.2023-0386

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Identification of Rice Plant Height-associated QTL Using BSA-seq and RNA-seq

WU Yuan-ming1(), LIN Jia-yi1, LIU Yu-xi1, LI Dan-ting2, ZHANG Zong-qiong2, ZHENG Xiao-ming3,4,5, PANG Hong-bo1()   

  1. 1. College of Life Science, Shenyang Normal University, Shenyang 110034
    2. Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007
    3. Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081
    4. Sanya National Research Institute of Breeding in Hainan, Chinese Academy of Agricultural Sciences, Sanya 571700
    5. International Rice Research Institute, Metro Manila DAPO box 7777, Philippines
  • Received:2023-04-22 Online:2023-08-26 Published:2023-09-05
  • Contact: PANG Hong-bo E-mail:19861602091@163.com;panghb@synu.edu.cn

Abstract:

The stability of rice yield is significantly influenced by plant height, making it as a crucial factor. The identification of plant height-associated QTLs and mining of candidate genes are conducive to comprehending the molecular regulatory mechanisms that determines plant height, which may lay a foundation for breeding ideal rice varieties. This study employed 285 CSSL populations derived from the parental strains of Oryza sativa var. Youzhan 8 and wild rice from Guangxi as the experimental cohort. The study utilized SNP and InDel molecular markers, in conjunction with NGS and BSA-seq techniques, to conduct an association analysis aimed at identifying genomic regions that are potentially associated with plant height. As results, the molecular markers Δ(SNP-index)were discovered to have an association with candidate genomic regions of 3.205 and 1.311 Mb in Chr.7 and Chr.10, respectively. The genomic regions linked with Δ(InDel-index)markers were of sizes 2.848 and 1.292 Mb, and were entirely encompassed within the intervals associated with Δ(SNP-index). Through the integration of functional annotation in GO, KEGG, Uniprot, and eggNOG databases, as well as high-quality polymorphic site screening and existing transcriptome data pertaining to plant height, five candidate genes located in Chr.7 were ultimately linked to this trait, including the previously characterized OsTCP21 function and mechanism. The qRT-PCR findings were consistent with prior research, revealing differential expression of OsTCP21 in tall and dwarf plants. Specifically, LOC_Os07g05050 and LOC_Os07g02850 demonstrated elevated expressions in tall plants, whereas LOC_Os07g04220 and LOC_Os07g02770 had higher expressions in dwarf plants. The regulation of rice plant height is significantly influenced by five candidate genes, with OsTCP21 being identified as a pivotal regulatory gene.

Key words: rice, plant height, mapping, BSA-seq, RNA-seq