文献类型： 外文期刊

作者： He, Shoupu ¹ ; Sun, Gaofei ² ; Geng, Xiaoli ¹ ; Gong, Wenfang ¹ ; Dai, Panhong ¹ ; Jia, Yinhua ¹ ; Shi, Weijun ³ ; Pan, Zhaoe ¹ ; Wang, Junduo ³ ; Wang, Liyuan ¹ ; Xiao, Songhua ⁴ ; Chen, Baojun ¹ ; Cui, Shufang ⁵ ; You, Chunyuan ⁶ ; Xie, Zongming ⁷ ; Wang, Feng ⁸ ; Sun, Jie ⁹ ; Fu, Guoyong ¹ ; Peng, Zhen ¹ ; Hu, Daowu ¹ ; Wang, Liru ¹ ; Pang, Baoyin ¹ ; Du, Xiongming ¹ ;

作者机构： 1.Chinese Acad Agr Sci, Inst Cotton Res, State Key Lab Cotton Biol, Anyang, Peoples R China

2.Anyang Inst Technol, Sch Comp Sci & Informat Engn, Anyang, Peoples R China

3.Xinjiang Acad Agr Sci, Res Inst Econ Crops, Urumqi, Peoples R China

4.Jiangsu Acad Agr Sci, Inst Ind Crops, Nanjing, Peoples R China

5.Hebei Acad Agr & Forestry Sci, Inst Cotton, Shijiazhuang, Hebei, Peoples R China

6.Shihezi Acad Agr Sci, Cotton Res Inst, Shihezi, Peoples R China

7.Xinjiang Acad Agr & Reclamat Sci, Biotechnol Res Inst, Prod & Construct Grp Key Lab Crop Germplasm Enhan, Shihezi, Peoples R China

8.Hunan Agr Univ, Coll Agron, Changsha, Peoples R China

9.Shihezi Univ, Coll Agr, Key Lab Oasis Ecoagr, Shihezi, Peoples R China

期刊名称：NATURE GENETICS （ 影响因子：27.603； 五年影响因子：30.331 ）

ISSN： 1061-4036

年卷期：

页码：

收录情况： SCI

摘要： Genomic variations in 3,248 tetraploid cotton germplasms and multi-environmental genome-wide association analyses provide insights into the basis of geographic differentiation and fiber improvement in cultivated cotton. Large-scale genomic surveys of crop germplasm are important for understanding the genetic architecture of favorable traits. The genomic basis of geographic differentiation and fiber improvement in cultivated cotton is poorly understood. Here, we analyzed 3,248 tetraploid cotton genomes and confirmed that the extensive chromosome inversions on chromosomes A06 and A08 underlies the geographic differentiation in cultivated Gossypium hirsutum. We further revealed that the haplotypic diversity originated from landraces, which might be essential for understanding adaptative evolution in cultivated cotton. Introgression and association analyses identified new fiber quality-related loci and demonstrated that the introgressed alleles from two diploid cottons had a large effect on fiber quality improvement. These loci provided the potential power to overcome the bottleneck in fiber quality improvement. Our study uncovered several critical genomic signatures generated by historical breeding effects in cotton and a wealth of data that enrich genomic resources for the research community.