{"title":"赫氏棉-苎麻引种系的开发及其在农业性状 QTL 图谱中的应用","authors":"Liang Wang, Nijiang Ai, Zechang Zhang, Chenhui Zhou, Guoli Feng, Sheng Cai, Ningshan Wang, Liuchun Feng, Yu Chen, Min Xu, Yingying Wang, Haoran Yue, Mengfei Chen, Liangshuai Xing, Baoliang Zhou","doi":"10.1016/j.jia.2024.01.016","DOIUrl":null,"url":null,"abstract":"<p><em>Gossypium raimondii</em> (2n=2x=26, D<sub>5</sub>), an untapped wild species, is the putative progenitor of the D-subgenome of <em>G</em>. <em>hirsutum</em> (2n=4x=52, AD<sub>1</sub>), an extensively cultivated species. Here, we developed a <em>G</em>. <em>hirsutum</em> (recipient)-<em>G</em>. <em>raimondii</em> (donor) introgression population to exploit favorable QTLs/genes and mapped potential quantitative trait loci (QTLs) from wild cotton species. The introgression population consists of 256 lines with an introgression rate of 52.33% of the genome <em>G</em>. <em>raimondii</em>. The range of introgression segment length was 0.03-19.12 Mb, with an average of 1.22 Mb. The coverage of total introgression fragments was 386.98 Mb from <em>G</em>. <em>raimondii</em>. Further genome-wide association analysis (Q+K+MLM) and QTL mapping (RSTEP-LRT) identified 59 common QTLs, including 14 stable QTLs and 6 common QTL (co-QTL) clusters, and one hotspot of MIC. The common QTLs for seed index showed all positive additive effects, while the common QTLs for boll weight were all negative additive effects, indicating that the linkage between seed index and boll weight could be broken. QTLs for lint percentage showed positive effect and could be beneficial for improving cotton yield. Most QTLs for fiber quality had negative additive effects, implying these QTLs were domesticated/improved in <em>G</em>. <em>hirsutum</em>. A few fiber quality QTLs showed positive additive effects, which could be used to improve cotton fiber quality. These introgression lines developed would be useful for molecular marker-assisted breeding and facilitate us to map QTLs precisely for mining desirable genes from the wild species <em>G</em>. <em>raimondii</em> to improve cultivated cotton in future via a design-breeding approach.</p>","PeriodicalId":16305,"journal":{"name":"Journal of Integrative Agriculture","volume":"41 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of Gossypium hirsutum-Gossypium raimondii introgression lines and its usages in QTL mapping of agricultural traits\",\"authors\":\"Liang Wang, Nijiang Ai, Zechang Zhang, Chenhui Zhou, Guoli Feng, Sheng Cai, Ningshan Wang, Liuchun Feng, Yu Chen, Min Xu, Yingying Wang, Haoran Yue, Mengfei Chen, Liangshuai Xing, Baoliang Zhou\",\"doi\":\"10.1016/j.jia.2024.01.016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><em>Gossypium raimondii</em> (2n=2x=26, D<sub>5</sub>), an untapped wild species, is the putative progenitor of the D-subgenome of <em>G</em>. <em>hirsutum</em> (2n=4x=52, AD<sub>1</sub>), an extensively cultivated species. Here, we developed a <em>G</em>. <em>hirsutum</em> (recipient)-<em>G</em>. <em>raimondii</em> (donor) introgression population to exploit favorable QTLs/genes and mapped potential quantitative trait loci (QTLs) from wild cotton species. The introgression population consists of 256 lines with an introgression rate of 52.33% of the genome <em>G</em>. <em>raimondii</em>. The range of introgression segment length was 0.03-19.12 Mb, with an average of 1.22 Mb. The coverage of total introgression fragments was 386.98 Mb from <em>G</em>. <em>raimondii</em>. Further genome-wide association analysis (Q+K+MLM) and QTL mapping (RSTEP-LRT) identified 59 common QTLs, including 14 stable QTLs and 6 common QTL (co-QTL) clusters, and one hotspot of MIC. The common QTLs for seed index showed all positive additive effects, while the common QTLs for boll weight were all negative additive effects, indicating that the linkage between seed index and boll weight could be broken. QTLs for lint percentage showed positive effect and could be beneficial for improving cotton yield. Most QTLs for fiber quality had negative additive effects, implying these QTLs were domesticated/improved in <em>G</em>. <em>hirsutum</em>. A few fiber quality QTLs showed positive additive effects, which could be used to improve cotton fiber quality. These introgression lines developed would be useful for molecular marker-assisted breeding and facilitate us to map QTLs precisely for mining desirable genes from the wild species <em>G</em>. <em>raimondii</em> to improve cultivated cotton in future via a design-breeding approach.</p>\",\"PeriodicalId\":16305,\"journal\":{\"name\":\"Journal of Integrative Agriculture\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-01-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Integrative Agriculture\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jia.2024.01.016\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Integrative Agriculture","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1016/j.jia.2024.01.016","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Development of Gossypium hirsutum-Gossypium raimondii introgression lines and its usages in QTL mapping of agricultural traits
Gossypium raimondii (2n=2x=26, D5), an untapped wild species, is the putative progenitor of the D-subgenome of G. hirsutum (2n=4x=52, AD1), an extensively cultivated species. Here, we developed a G. hirsutum (recipient)-G. raimondii (donor) introgression population to exploit favorable QTLs/genes and mapped potential quantitative trait loci (QTLs) from wild cotton species. The introgression population consists of 256 lines with an introgression rate of 52.33% of the genome G. raimondii. The range of introgression segment length was 0.03-19.12 Mb, with an average of 1.22 Mb. The coverage of total introgression fragments was 386.98 Mb from G. raimondii. Further genome-wide association analysis (Q+K+MLM) and QTL mapping (RSTEP-LRT) identified 59 common QTLs, including 14 stable QTLs and 6 common QTL (co-QTL) clusters, and one hotspot of MIC. The common QTLs for seed index showed all positive additive effects, while the common QTLs for boll weight were all negative additive effects, indicating that the linkage between seed index and boll weight could be broken. QTLs for lint percentage showed positive effect and could be beneficial for improving cotton yield. Most QTLs for fiber quality had negative additive effects, implying these QTLs were domesticated/improved in G. hirsutum. A few fiber quality QTLs showed positive additive effects, which could be used to improve cotton fiber quality. These introgression lines developed would be useful for molecular marker-assisted breeding and facilitate us to map QTLs precisely for mining desirable genes from the wild species G. raimondii to improve cultivated cotton in future via a design-breeding approach.
期刊介绍:
Journal of Integrative Agriculture publishes manuscripts in the categories of Commentary, Review, Research Article, Letter and Short Communication, focusing on the core subjects: Crop Genetics & Breeding, Germplasm Resources, Physiology, Biochemistry, Cultivation, Tillage, Plant Protection, Animal Science, Veterinary Science, Soil and Fertilization, Irrigation, Plant Nutrition, Agro-Environment & Ecology, Bio-material and Bio-energy, Food Science, Agricultural Economics and Management, Agricultural Information Science.