文献类型： 外文期刊

作者： Iqbal, Zubair ¹ ; Iqbal, Muhammad Shahid ¹ ; Alamery, Salman ² ; Shehzad, Khurram ³ ; Zaman, Qamar U. ⁴ ; Attacha, Safira ⁶ ; Sarfraz, Zareen ¹ ; Nazir, Mian Faisal ¹ ; Hu, Daowu ¹ ; Zafar, Muhammad Mubashar ¹ ; Zeb, Aqib ⁷ ; Shoupuhe, Tahir ¹ ; Mahmood, Tahir ¹ ; Fiaz, Sajid ³ ; Gul, Alia M. ⁸ ; Abushady, Asmaa ⁹ ; Kimiko, Itoh A. ¹¹ ; Attia, Kotb ² ; Pan, Zhaoe ¹ ; Du, Xiongming ¹ ;

作者机构： 1.Chinese Acad Agr Sci, Inst Cotton Res, State Key Lab Cotton Biol, Anyang 455000, Henan, Peoples R China

2.King Saud Univ, Coll Sci, Dept Biochem, POB 2455, Riyadh 11451, Saudi Arabia

3.Univ Haripur, Dept Plant Breeding & Genet, Haripur 22620, Pakistan

4.Hainan Univ, Sanya Nanfan Res Inst, Hainan Yazhou Bay Seed Lab, Sanya 572025, Peoples R China

5.Hainan Univ, Coll Trop Crops, Haikou 570228, Peoples R China

6.Univ Agr, Inst Biotechnol & Genet Engn, Peshawar, Pakistan

7.Minist Agr, China Natl Rice Res Inst, State Key Lab Rice Biol, Key Lab Rice Biol & Breeding, Hangzhou 310006, Peoples R China

8.Hazara Univ, Dept Bot, Mansehra, Pakistan

9.Nile Univ, Biotechnol Sch, 26th July Corridor, Sheikh Zayed City 12588, Giza, Egypt

10.Ain Shams Univ, Agr Coll, Dept Genet, Cairo, Egypt

11.Niigata Univ, Inst Sci & Technol, Ikarashi-2,Nishi Ku, Niigata 9502181, Japan

关键词： Plant bioinformatics; Genome sequence; Candidate genes; Functional analysis; Yield improvement

期刊名称：GENETIC RESOURCES AND CROP EVOLUTION （ 影响因子：2.0； 五年影响因子：1.9 ）

ISSN： 0925-9864

年卷期： 2023 年

页码：

收录情况： SCI

摘要： The boll weight (BW) is the most decisive yield component character and is utilized as a key index for selection in various cotton improvement programs. In the current study, 1260 accessions of cotton with a diverse genetic background were assessed for boll weight across four different environments (two locations for each environment) in China. A genome-wide association study (GWAS) was performed to mine novel single nucleotide polymorphisms (SNPs) controlling boll weight characteristics. A total of 1,122,352 SNPs were identified in association with boll weight across multiple environments, of which 138 were designated as key SNPs, harboring significantly higher association peaks for the all chromosomes on the basis of log10 P value (- log10 & GE; 6). Among 53 significant associations related to BW development across environments were identified. Six genes in the vicinity of these key SNPs (Pentatricopeptide repeat-containing protein PCMP-E76), Trihelix transcription factor ASIL2, Auxin-responsive protein SAUR50, Floral homeotic protein AGAMOUS (AG), Piriformospora indica-insensitive protein 2 (PII-2), and LOB domain-containing protein 16 (LBD16) exhibited higher expression patterns. These identified BW-related key SNPs and candidate genes could prove to have potential for influencing BW development in upland cotton. The outcome of the current study will serve as a base for further mechanistic research focused on the exploitation of BW for accelerated cotton improvement.