When alien DNA inserts into cotton genome in multi-copy manner,several QTL in cotton genome are disrupted,which are called dQTL in this study.Transgenic mutant line is near-isogenic to its recipient which is divergent...When alien DNA inserts into cotton genome in multi-copy manner,several QTL in cotton genome are disrupted,which are called dQTL in this study.Transgenic mutant line is near-isogenic to its recipient which is divergent for the dQTL from remaining QTL.So,a set of data from a展开更多
Cotton(Gossypium spp.) is the leading fiber crop,and an important source of the important edible oil and protein meals in the world.Complex genetics and strong environmental effects hinder
Background:Cotton is mainly grown for its natural fiber and edible oil.The fiber obtained from cotton is the indispensable raw material for the textile industries.The ever changing climatic condition,threatens cotton ...Background:Cotton is mainly grown for its natural fiber and edible oil.The fiber obtained from cotton is the indispensable raw material for the textile industries.The ever changing climatic condition,threatens cotton production due to a lack of sufficient water for its cultivation.Effects of drought stress are estimated to affect more than 50%of the cotton growing regions.To elucidate the drought tolerance phenomenon in cotton,a backcross population was developed from G.tomentosum,a drought tolerant donor parent and G.hirsutum which is highly susceptible to drought stress.Results:A genetic map of 10888 SNP markers was developed from 200 BC_2F_2 populations.The map spanned 4191.3 centi-Morgan(c M),with an average distance of 0.1047 c M,covering 51%and 49%of At and Dt sub genomes,respectively.Thirty stable Quantitative trait loci(QTLs)were detected,in which more than a half were detected in the At subgenome.Eighty-nine candidate genes were mined within the QTL regions for three traits:cell membrane stability(CMS),saturated leaf weight(SLW)and chlorophyll content.The genes had varied physiochemical properties.A majority of the genes were interrupted by introns,and only 15 genes were intronless,accounting for 17%of the mined genes.The genes were found to be involved molecular function(MF),cellular component(CC)and biological process(BP),which are the main gene ontological(GO)functions.A number of mi RNAs were detected,such as mi R164,which is associated with NAC and MYB genes,with a profound role in enhancing drought tolerance in plants.Through RT-q PCR analysis,5 genes were found to be the key genes involved in enhancing drought tolerance in cotton.Wild cotton harbors a number of favorable alleles,which can be exploited to aid in improving the narrow genetic base of the elite cotton cultivars.The detection of 30 stable QTLs and 89 candidate genes found to be contributed by the donor parent,G.tomentosum,showed the significant genes harbored by the wild progenitors which can be exploited in developing more robust cotton genotypes with diverse tolerance levels to various environmental stresses.Conclusion:This was the first study involving genome wide association mapping for drought tolerance traits in semi wild cotton genotypes.It offers an opportunity for future exploration of these genes in developing highly tolerant cotton cultivars to boost cotton production.展开更多
Background Cotton is an important cash crop in China and a key component of the global textile market.Verticil-lium wilt is a major factor affecting cotton yield.Single nucleotide polymorphism(SNP)markers and phenotyp...Background Cotton is an important cash crop in China and a key component of the global textile market.Verticil-lium wilt is a major factor affecting cotton yield.Single nucleotide polymorphism(SNP)markers and phenotypic data can be used to identify genetic markers and loci associated with cotton resistance to Verticillium wilt.We used eight upland cotton parent materials in this study to construct a multiparent advanced generation inter-cross(MAGIC)population comprising 320 lines.The Verticillium wilt resistance of the MAGIC population was identified in the green-house in 2019,and the average relative disease index(ARDI)was calculated.A genome-wide association study(GWAS)was performed to discover SNP markers/genes associated with Verticillium wilt resistance.Results ARDI of the MAGIC population showed wide variation,ranging from 16.7 to 79.4 across three replicates.This variation reflected a diverse range of resistance to Verticillium wilt within the population.Analysis of distribution pat-terns across the environments revealed consistent trends,with coefficients of variation between 12.25%and 21.96%.Families with higher ARDI values,indicating stronger resistance,were more common,likely due to genetic diver-sity and environmental factors.Population structure analysis divided the MAGIC population into three subgroups,with Group I showing higher genetic variation and Groups II and III displaying more uniform resistance performance.Principal component analysis(PCA)confirmed these divisions,highlighting the genetic diversity underlying Verticil-lium wilt resistance.Through GWAS,we identified 19 SNPs significantly associated with Verticillium wilt resistance,distributed across three chromosomes.The screening of candidate genes was performed on the transcriptome derived from resistant and susceptible cultivars,combined with gene annotation and tissue expression patterns,and two key candidate genes,Ghir_A01G006660 and Ghir_A02G008980,were found to be potentially associated with Verticillium wilt resistance.This suggests that these two candidate genes may play an important role in responding to Verticillium wilt.Conclusion This study aims to dissect the genetic basis of Verticillium wilt resistance in cotton by using a MAGIC population and GWAS.The study seeks to provide valuable genetic resources for marker-assisted breeding and enhance the understanding of resistance mechanisms to improve cotton resilience against Verticillium wilt.展开更多
文摘When alien DNA inserts into cotton genome in multi-copy manner,several QTL in cotton genome are disrupted,which are called dQTL in this study.Transgenic mutant line is near-isogenic to its recipient which is divergent for the dQTL from remaining QTL.So,a set of data from a
文摘Cotton(Gossypium spp.) is the leading fiber crop,and an important source of the important edible oil and protein meals in the world.Complex genetics and strong environmental effects hinder
基金program was financially sponsored by the National Natural Science Foundation of China(31671745,31530053)the National key research and development plan(2016YFD0100306)。
文摘Background:Cotton is mainly grown for its natural fiber and edible oil.The fiber obtained from cotton is the indispensable raw material for the textile industries.The ever changing climatic condition,threatens cotton production due to a lack of sufficient water for its cultivation.Effects of drought stress are estimated to affect more than 50%of the cotton growing regions.To elucidate the drought tolerance phenomenon in cotton,a backcross population was developed from G.tomentosum,a drought tolerant donor parent and G.hirsutum which is highly susceptible to drought stress.Results:A genetic map of 10888 SNP markers was developed from 200 BC_2F_2 populations.The map spanned 4191.3 centi-Morgan(c M),with an average distance of 0.1047 c M,covering 51%and 49%of At and Dt sub genomes,respectively.Thirty stable Quantitative trait loci(QTLs)were detected,in which more than a half were detected in the At subgenome.Eighty-nine candidate genes were mined within the QTL regions for three traits:cell membrane stability(CMS),saturated leaf weight(SLW)and chlorophyll content.The genes had varied physiochemical properties.A majority of the genes were interrupted by introns,and only 15 genes were intronless,accounting for 17%of the mined genes.The genes were found to be involved molecular function(MF),cellular component(CC)and biological process(BP),which are the main gene ontological(GO)functions.A number of mi RNAs were detected,such as mi R164,which is associated with NAC and MYB genes,with a profound role in enhancing drought tolerance in plants.Through RT-q PCR analysis,5 genes were found to be the key genes involved in enhancing drought tolerance in cotton.Wild cotton harbors a number of favorable alleles,which can be exploited to aid in improving the narrow genetic base of the elite cotton cultivars.The detection of 30 stable QTLs and 89 candidate genes found to be contributed by the donor parent,G.tomentosum,showed the significant genes harbored by the wild progenitors which can be exploited in developing more robust cotton genotypes with diverse tolerance levels to various environmental stresses.Conclusion:This was the first study involving genome wide association mapping for drought tolerance traits in semi wild cotton genotypes.It offers an opportunity for future exploration of these genes in developing highly tolerant cotton cultivars to boost cotton production.
基金supported by funding from the fund for National Key Research and Development Program of China(2023YFD2301203-05)National Natural Science Foundation of China(32260510)+3 种基金Special Financial Project for Seed Industry Development in the Autonomous Region(BNZJ2024-10,BNZJ2024-30)Key Project for Science and Technology Development of Shihezi city,Xinjiang Production and Construction Crops(2022NY01)Shihezi University high-level talent research project(RCZK202337)Science and Technol-ogy Planning of Shuanghe city,Xinjiang Production and Construction Crops(2021NY02).
文摘Background Cotton is an important cash crop in China and a key component of the global textile market.Verticil-lium wilt is a major factor affecting cotton yield.Single nucleotide polymorphism(SNP)markers and phenotypic data can be used to identify genetic markers and loci associated with cotton resistance to Verticillium wilt.We used eight upland cotton parent materials in this study to construct a multiparent advanced generation inter-cross(MAGIC)population comprising 320 lines.The Verticillium wilt resistance of the MAGIC population was identified in the green-house in 2019,and the average relative disease index(ARDI)was calculated.A genome-wide association study(GWAS)was performed to discover SNP markers/genes associated with Verticillium wilt resistance.Results ARDI of the MAGIC population showed wide variation,ranging from 16.7 to 79.4 across three replicates.This variation reflected a diverse range of resistance to Verticillium wilt within the population.Analysis of distribution pat-terns across the environments revealed consistent trends,with coefficients of variation between 12.25%and 21.96%.Families with higher ARDI values,indicating stronger resistance,were more common,likely due to genetic diver-sity and environmental factors.Population structure analysis divided the MAGIC population into three subgroups,with Group I showing higher genetic variation and Groups II and III displaying more uniform resistance performance.Principal component analysis(PCA)confirmed these divisions,highlighting the genetic diversity underlying Verticil-lium wilt resistance.Through GWAS,we identified 19 SNPs significantly associated with Verticillium wilt resistance,distributed across three chromosomes.The screening of candidate genes was performed on the transcriptome derived from resistant and susceptible cultivars,combined with gene annotation and tissue expression patterns,and two key candidate genes,Ghir_A01G006660 and Ghir_A02G008980,were found to be potentially associated with Verticillium wilt resistance.This suggests that these two candidate genes may play an important role in responding to Verticillium wilt.Conclusion This study aims to dissect the genetic basis of Verticillium wilt resistance in cotton by using a MAGIC population and GWAS.The study seeks to provide valuable genetic resources for marker-assisted breeding and enhance the understanding of resistance mechanisms to improve cotton resilience against Verticillium wilt.
文摘【目的】鉴定出能够稳定表达的棉花抗黄萎病相关数量性状位点(Quantitative trait loci,QTLs)。【方法】以抗落叶型黄萎病棉花品种常抗棉和感黄萎病品种TM-1为亲本配制的111个重组自交系家系为作图群体,筛选出多态性简单序列重复(Simple sequence repeat,SSR)标记,并用于构建遗传图谱。用完备复合区间作图法对该群体在安阳大田、新疆重病地及病圃等多个环境下的黄萎病病情指数进行QTLs检测。【结果】构建了1张含有12个连锁群、40个标记、总长212.5 cM(厘摩)的遗传图谱。获得了6个与抗黄萎病基因相关的QTLs,对数优势比(Logarithm of the odd score,LOD)分布在2.51～5.55,贡献率最大为20.34%,最小为6.93%。其中,qVR-D05-1能够在安阳大田2015年7月15日和新疆南疆重病地2016年7月9日2个环境中检测到,贡献率分别为12.96%和20.34%。【结论】本研究得到的qVR-D05-1能够为定位出稳定的棉花抗黄萎病相关QTLs提供参考。
