华北农学报 ›› 2026, Vol. 41 ›› Issue (1): 49-55. doi: 10.7668/hbnxb.20195943

所属专题: 玉米 生物技术

• 作物遗传育种·种质资源·生物技术 • 上一篇    下一篇

控制玉米叶片数的QTL定位及基因功能注释

薛春雷1, 张旭婷1, 张海龙1, 付增娟1, 刘亚楠1, 吴海燕1, 张子玉1, 张赛楠1, 余忠浩1, 吴慧1, 韩平安1, 马岩1, 王永行2, 孙峰成1   

  1. 1 内蒙古自治区农牧业科学院,内蒙古 呼和浩特 010031
    2 巴彦淖尔市农牧业科学研究所,内蒙古 巴彦淖尔 015000
  • 收稿日期:2025-05-20 出版日期:2026-02-28
  • 通讯作者:
    孙峰成(1975—),男,内蒙古呼伦贝尔人,研究员,博士,主要从事玉米育种和栽培研究。
  • 作者简介:

    薛春雷(1984—),男,内蒙古呼和浩特人,副研究员,博士,主要从事玉米育种和栽培研究。

  • 基金资助:
    内蒙古自治区自然科学基金项目(2022MS03062)

QTL Mapping and Gene Functional Annotation for Controlling Maize Leaf Number

XUE Chunlei1, ZHANG Xuting1, ZHANG Hailong1, FU Zengjuan1, LIU Yanan1, WU Haiyan1, ZHANG Ziyu1, ZHANG Sainan1, YU Zhonghao1, WU Hui1, HAN Pingan1, MA Yan1, WANG Yongxing2, SUN Fengcheng1   

  1. 1 Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences,Hohhot 010031,China
    2 Bayannur Institute of Agriculture and Animal Husbandry,Bayannur 015000,China
  • Received:2025-05-20 Published:2026-02-28

摘要:

为明确玉米总叶片数与穗上叶片数的遗传特性,揭示其对玉米产量潜力、生物量积累及抗倒伏性的调控作用,开展控制玉米叶片数的 QTL 定位及基因挖掘的试验。利用SLAF-seq 技术对昌7-2和PHB1M及其138份F2∶3家系进行高通量测序,结合60 000(E1),120 000(E2)株/hm2 2个种植密度处理下的叶片数表型数据进行QTL定位,并对定位结果进行基因挖掘。结果表明,分布在8号染色体上的2个总叶片数QTL为主效QTL,贡献率分别为 16.96%和23.08%,加性效应值为负值;3个穗上叶片数的QTL分布在2号和4号染色体,加性效应值为正值,分布在4号染色体的2个QTL为主效QTL,贡献率分别为10.18%和14.75%;总叶片数和穗上叶片数的QTL分布在不同染色体区域,可能受到相对独立的遗传调控。基因功能分析发现,筛选到的基因参与碳水化合物代谢和植物激素信号转导途径等,同时筛选到部分转录因子。本研究结果为进一步揭示玉米叶片数的遗传基础提供更丰富的理论支持,为分子标记辅助育种提供靶点。

关键词: 玉米, 总叶片数, 穗上叶片数, QTL, 基因挖掘

Abstract:

To clarify the genetic characteristics of total leaf number and leaf number above the ear in maize,and reveal their regulatory effects on maize yield potential,biomass accumulation,and lodging resistance,experiments on QTL mapping and gene mining for controlling maize leaf number were conducted.By using SLAF-seq technology for high-throughput sequencing of Chang 7-2,PHB1M,and 138 F2∶3 families,combined with two planting density treatments(E1:60 000 plants/ha;E2:120 000 plants/ha)QTL mapping was performed on leaf number phenotypic data,and gene mining was performed on the mapping results.The results showed that two total leaf number QTLs distributed on chromosome 8 were the main effect QTLs,contribution rates were 16.96% and 23.08%,respectively,and the additive effect value was negative;the QTL for the leaf number above the ear distributed on chromosomes 2 and 4,with a positive additive effect value.the two QTLs distributed on chromosome 4 were the main effect QTL,contribution rates were 10.18% and 14.75%,respectively;the QTLs for total leaf number and leaf number above the ear were distributed in different chromosomal regions and might be subject to relatively independent genetic regulation.Gene functional analysis revealed genes screened involvement in carbohydrate metabolism,plant hormone signal transduction,and selected some transcription factors.The results of this study provide richer theoretical support for further revealing the genetic basis of maize leaf number and offer targets for marker-assisted breeding.

Key words: Maize, Total leaf number, Leaf number above the ear, QTL, Gene mining

中图分类号: 

引用本文

薛春雷, 张旭婷, 张海龙, 付增娟, 刘亚楠, 吴海燕, 张子玉, 张赛楠, 余忠浩, 吴慧, 韩平安, 马岩, 王永行, 孙峰成. 控制玉米叶片数的QTL定位及基因功能注释[J]. 华北农学报, 2026, 41(1): 49-55. doi: 10.7668/hbnxb.20195943.

XUE Chunlei, ZHANG Xuting, ZHANG Hailong, FU Zengjuan, LIU Yanan, WU Haiyan, ZHANG Ziyu, ZHANG Sainan, YU Zhonghao, WU Hui, HAN Pingan, MA Yan, WANG Yongxing, SUN Fengcheng. QTL Mapping and Gene Functional Annotation for Controlling Maize Leaf Number[J]. Acta Agriculturae Boreali-Sinica, 2026, 41(1): 49-55. doi: 10.7668/hbnxb.20195943.