Gossypium mustelinum genome and an introgression population enrich interspecific genetics and breeding in cotton
文献类型: 外文期刊
第一作者: Yang, Yang
作者: Yang, Yang;You, Chunyuan;Wang, Nian;Wu, Mi;Le, Yu;Wang, Maojun;Zhang, Xianlong;Lin, Zhongxu;Yang, Yang;You, Chunyuan;Yu, Yu
作者机构:
期刊名称:THEORETICAL AND APPLIED GENETICS ( 影响因子:5.4; 五年影响因子:5.7 )
ISSN: 0040-5752
年卷期: 2023 年 136 卷 6 期
页码:
收录情况: SCI
摘要: Key messageGenomic and genetic resources of G. mustelinum were effective for identifying genes for qualitative and quantitative traits.Gossypium mustelinum represents the earliest diverging evolutionary lineage of polyploid Gossypium, representing a rich gene pool for numerous desirable traits lost in cotton cultivars. Accurate information of the genomic features and the genetic architecture of objective traits are essential for the discovery and utilization of G. mustelinum genes. Here, we presented a chromosome-level genome assembly of G. mustelinum and developed an introgression population of the G. mustelinum in the background of G. hirsutum that contained 264 lines. We precisely delimited the boundaries of the 1,662 introgression segments with the help of G. mustelinum genome assembly, and 87% of crossover regions (COs) were less than 5 Kb. Genes for fuzzless and green fuzz were discovered, and a total of 14 stable QTLs were identified with 12 novel QTLs across four independent environments. A new fiber length QTL, qUHML/SFC-A11, was confined to a 177-Kb region, and GmOPB4 and GmGUAT11 were considered as the putative candidate genes as potential negative regulator for fiber length. We presented a genomic and genetic resource of G. mustelinum, which we demonstrated that it was efficient for identifying genes for qualitative and quantitative traits. Our study built a valuable foundation for cotton genetics and breeding.
分类号:
- 相关文献
作者其他论文 更多>>
-
Combined transcriptome and whole genome sequencing analyses reveal candidate drug-resistance genes of Eimeria tenella
作者:Yu, Yu;Dong, Hui;Zhao, Qiping;Zhu, Shunhai;Wang, Haixia;Yao, Yawen;Huang, Wenhao;Han, Hongyu
关键词:
-
Arbuscular mycorrhizal fungi enhance drought resistance and alter microbial communities in maize rhizosphere soil
作者:Li, Juan;Chen, Guo;Yao, Mengyao;Liu, Zhigang;Li, Xiaorong;Yang, Yang;Cai, Darun;Tuerxun, Zumuremu;Li, Bo;Nie, Tengkun;Chen, Xunji;Zhou, Liuyan;Yang, Xinping
关键词:Maize seedling; AMF; Drought stress; Rhizosphere microbe; Soil function
-
Natural acidic deep eutectic solvent-mediated microwave-assisted simultaneous hydrodistillation, hydrolysis, and extraction for obtaining essential oils, gallic acid and ellagic acid from Liquidambar formosana leaves and fruits
作者:Zhang, Ke;Gao, Hongfei;Yang, Yang;Ping, Yifan;Yang, Lei;Tian, Hao;Gu, Huiyan
关键词:Natural deep eutectic solvent; Liquidambar formosana; Essential oils; Microwave simultaneous hydrodistillation; Hydrolysis; And extraction
-
Physiological and Transcriptome Analysis Provide Insights into the Effects of Low and High Selenium on Methionine and Starch Metabolism in Rice Seedlings
作者:Yang, Yang;Zhang, Jiarui;Sun, Lijuan;Qin, Qin;Yang, Shiyan;Wang, Jun;Sun, Yafei;Xue, Yong
关键词:selenium; rice; transcriptome; physiological
-
Accelerated removal and mechanism of tetracycline from water using immobilized bacteria combined with microalgae
作者:Wang, Jinli;Chen, Xiangnan;Sun, Haibo;Li, Xueying;Lu, Qiang;Qin, Pufeng;Yang, Yang;Luo, Lin;Yang, Yuan;Wu, Zhibin;Wang, Jinli;Chen, Xiangnan;Sun, Haibo;Li, Xueying;Lu, Qiang;Qin, Pufeng;Yang, Yang;Luo, Lin;Yang, Yuan;Wu, Zhibin;Wang, Jinli;Chen, Xiangnan;Li, Xueying;Lu, Qiang;Qin, Pufeng;Yang, Yang;Luo, Lin;Yang, Yuan;Wu, Zhibin;Lai, Dengni;Peng, Xin
关键词:Tetracycline; Alcaligenes faecalis; Microalgae; Wastewater treatment; Mechanisms of removal
-
Picoxystrobin causes mitochondrial dysfunction in earthworms by interfering with complex enzyme activity and binding to the electron carrier cytochrome c protein
作者:Zhao, Wentian;Jiang, Jiazhen;Wang, Chengju;Wang, Kai;Mu, Xiyan;Yang, Yang
关键词:Picoxystrobin; Earthworm; Mitochondrial dysfunction; Environmental level; Molecular docking
-
MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops
作者:Chao, Dian;Wan, Fengqiang;Yang, Yang;Wang, Hao;Yan, Shen;Fang, Wei
关键词:Deep learning; Genomic prediction; Multi-task learning; Crop breeding