Journal of Integrative Agriculture

• •    下一篇

花生株高与分枝相关性状QTL分析

  

  • 收稿日期:2023-09-24 修回日期:2023-12-15

Identification of QTLs for plant height and branching related traits in cultivated peanut

ZHANG Sheng-zhong1, HU Xiao-hui1, WANG Fei-fei1, MIAO Hua-rong1, Ye Chu2, YANG Wei-qiang1, ZHONG Wen3, CHEN Jing1#   

  1. 1 Shandong Peanut Research Institute, Qingdao 266100, China

    2 Department of Horticulture, University of Georgia Tifton Campus, Tifton, GA 31793, United States

    3 Shandong Seed Administration Station, Jinan 250100, China

  • Received:2023-09-24 Revised:2023-12-15
  • About author:ZHANG Sheng-zhong, E-mail: 593318769@qq.com; #Correspondence CHEN Jing, Tel: +86-532-87631512, E-mail: mianbaohua2008@126.com
  • Supported by:

    This research was supported by the Natural Science Foundation of Shandong Province, China (ZR2022MC045), the National Natural Science Foundation of China (32001584, 32201876), the Major Science and Technology Program of Xinjiang Uygur Autonomous Region, China (2022A02008-3), the Breeding Project from Department Science & Technology of Shandong Province, China (2022LZGC007), and the Agricultural Scientific and the Technological Innovation Project of Shandong Academy of Agricultural Sciences, China (CXGC2023A06, CXGC2023A39 and CXGC2023A46).

摘要:

株高、侧枝长和分枝数是影响花生株型的关键组分性状,对花生的生物量、荚果产量以及机械化作业适配性至关重要。本研究利用包含181个家系的重组自交系群体,开展了3个环境下的表型考察,发现株高、侧枝长和分枝数均表现为连续分布和超亲遗传,其广义遗传率分别为0.870.880.92。基于单环境非条件QTL分析,共检测到35个加性QTL,表型贡献率为4.57%~21.68%。通过两轮meta分析将以上加性QTL整合为24个一致性(consensus)位点和17个特异性(unique)位点,其中5个特异性位点表现为多效性。利用条件QTL分析阐明了多效性位点的遗传基础(多基因连锁或者一因多效)。此外,基于多环境联合分析估算了加性QTL与环境的互作效应,互作效应对株高、侧枝长和分枝数的总贡献率分别达到10.80%11.02%7.89%。本研究在第91016染色体上鉴定到3个稳定主效特异性QTL区段(uq9-3uq10-2 uq16-1),物理区间范围为1.43-1.53Mb,其中参与植物激素合成、信号转导和细胞壁发育的一些基因可能是调控这些性状的候选基因。该研究结果为后续花生株型遗传研究和分子标记辅助育种提供了重要基础。

Abstract:

Plant height (PH), primary lateral branch length (PBL) and branch number (BN) are architectural components impacting peanut pod yield, biomass production and adaptivity to mechanical harvesting.  In this study, a recombinant inbred population consisting of 181 individual lines was used to determine genetic controls of PH, PBL and BN across three environments.  Phenotypic data collected from the population demonstrated continuous distributions and transgressive segregation patterns.  Broad-sense heritability of PH, PBL and BN was found to be 0.87, 0.88 and 0.92, respectively.  Unconditional individual environmental analysis revealed 35 additive QTLs with phenotypic variation explained (PVE) ranging from 4.57 to 21.68%.  A two-round meta-analysis resulted in 24 consensus and 17 unique QTLs.  Five unique QTLs exhibited pleiotropic effects and their genetic bases (pleiotropy or tight linkage) were evaluated.  Joint analysis was performed to estimate the QTL by environment interaction (QEI) effects on PH, PBL and BN, which collectively explained phenotypic variations of 10.80, 11.02, and 7.89%, respectively.  We identified 3 major and stable QTL regions (uq9-3, uq10-2 and uq16-1) on chromosomes 9, 10 and 16, spanning 1.43-1.53 Mb genomic regions.  Candidate genes involved in phytohormones biosynthesis, signaling and cell wall development were proposed to regulate these morphological traits.  These results provide valuable information for further genetic studies and development of molecular markers applicable for peanut architecture improvement.

Key words: peanut , plant height ,  , branching ,  , QTL mapping ,  , candidate gene