对大豆的蛋白质含量和脂肪含量进行QTL定位,可为其分子标记辅助育种提供依据。以回交导入系群体中黄13×中黄20的BC2F5的100个家系为材料,分析群体的SSR标记多态性,采用近红外光谱分析技术测定群体蛋白质含量和脂肪含量。构建了一...对大豆的蛋白质含量和脂肪含量进行QTL定位,可为其分子标记辅助育种提供依据。以回交导入系群体中黄13×中黄20的BC2F5的100个家系为材料,分析群体的SSR标记多态性,采用近红外光谱分析技术测定群体蛋白质含量和脂肪含量。构建了一张涵盖大豆20个连锁群、总长为948.01 c M、平均遗传距离为8.78 c M、包含108个SSR标记的大豆遗传连锁图谱。共检测到与蛋白质含量相关的QTL 5个,与脂肪含量相关的QTL 9个,其中Satt445~Sat_303连续2年被检测到与脂肪含量相关,Satt445~Sat_303与Satt543~Satt574均被检测到与蛋白质含量和脂肪含量相关,Sat_389~Satt590、Satt238~Satt388及Satt685~Sat_381均与脂肪含量相关。展开更多
Background:Genetic improvement in fiber quality is one of the main challenges for cotton breeders.Quantitative trait loci(QTL)mapping provides a powerful approach to dissect the molecular mechanism in fiber quality tr...Background:Genetic improvement in fiber quality is one of the main challenges for cotton breeders.Quantitative trait loci(QTL)mapping provides a powerful approach to dissect the molecular mechanism in fiber quality traits.In present study,F14 recombinant inbred line(RIL)population was backcrossed to paternal parent for a paternal backcross(BC/P)population,deriving from one upland cotton hybrid.Three repetitive BC/P field trials and one maternal backcross(BC/M)field trial were performed including both two BC populations and the original RIL population.Results:In total,24 novel QTLs are detected for fiber quality traits and among which 13 QTLs validated previous results.Thirty-five QTLs in BC/P populations explain 5.01%–22.09%of phenotype variation(PV).Among the 35 QTLs,23 QTLs are detected in BC/P population alone.Present study provides novel alleles of male parent for fiber quality traits with positive genetic effects.Particularly,qFS-Chr3–1 explains 22.09%of PV in BC/P population,which increaseds 0.48 cN·tex−1 for fiber strength.A total of 7,2,8,2 and 6 QTLs explain over 10.00%of PV for fiber length,fiber uniformity,fiber strength,fiber elongation and fiber micronaire,respectively.In RIL population,six common QTLs are detected in more than one environment:qFL-Chr1–2,qFS-Chr5–1,qFS-Chr9–1,qFS-Chr21–1,qFM-Chr9–1 and qFM-Chr9–2.Two common QTLs of qFE-Chr2–2(TMB2386-SWU12343)and qFM-Chr9–1(NAU2873-CGR6771)explain 22.42%and 21.91%of PV.The region between NAU4034 and TMB1296 harbor 30 genes(379 kb)in A05 and 42 genes(49 kb)in D05 for fiber length along the QTL qFL-Chr5–1 in BC/P population,respectively.In addition,a total of 142 and 46 epistatic QTLs and QTL×environments(E-QTLs and QQEs)are identified in recombinant inbred lines in paternal backcross(RIL-P)and paternal backcross(BC/P)populations,respectively.Conclusions:The present studies provide informative basis for improving cotton fiber quality in different populations.展开更多
Variation in patterns of recombination in plant genomes provides information about species evolution,genetic diversity and crop improvement. We investigated meiotic crossovers generated in biparental segregating and r...Variation in patterns of recombination in plant genomes provides information about species evolution,genetic diversity and crop improvement. We investigated meiotic crossovers generated in biparental segregating and reciprocal backcross populations of the allopolyploid genome of rapeseed(Brassica napus)(AACC, 2n = 38). A structured set of 1445 intercrossed lines was derived from two homozygous de novo genome-assembled parents that represented the major genetic clusters of semi-winter Chinese and winter European rapeseeds, and was used to increase QTL resolution and achieve genomic reciprocal introgression. A high-density genetic map constructed with 6161 genetic bins and anchored centromere regions was used to establish the pattern of recombination variation in each chromosome. Around 93%of the genome contained crossovers at a mean rate of 3.8 c M Mb^(-1), with the remaining 7% attributed to centromeres or low marker density. Recombination hotspots predominated in the A genome, including two-thirds of those associated with breeding introgression from B. rapa. Genetic background might affect recombination variation. Introgression of genetic diversity from European winter to Chinese semi-winter rapeseed showed an increase in crossover rate under the semi-winter environment. Evidence for an elevated recombination rate having historically contributed to selective trait improvement includes accumulation of favorable alleles for seed oil content on hotspots of chromosome A10. Conversely, strong artificial selection may affect recombination rate variation, as appears to be the case with a coldspot resulting from strong selection for glucosinolate alleles on A09. But the cold region would be promptly reactivated by crossing design indicated by the pedigree analysis. Knowledge of recombination hotspots and coldspots associated with QTL for 22 traits can guide selection strategies for introgression breeding between the two gene pools. These results and rich genomic resources broaden our understanding of recombination behav展开更多
An advanced backcross population of rice was used to identify the quantitative trait locus (QTL) controlling the cold-tolerance at booting to flowering stages. The recipient, Guichao 2 (GC2), was a commercial Indica r...An advanced backcross population of rice was used to identify the quantitative trait locus (QTL) controlling the cold-tolerance at booting to flowering stages. The recipient, Guichao 2 (GC2), was a commercial Indica rice; the donor Dongxiang common wild rice, was an accession of common wild rice (DXCWR, Oryza rufipogon Griff.). Three QTLs for cold-tolerance were detected on chromosomes 1, 6 and 11. Two of them coming from DXCWR could enhance the cold-tolerance of the backcross progenies. Moreover, one sterility QTL that could reduce the seed set rate of the backcross progenies by 78% was mapped on chromosome 5.展开更多
文摘对大豆的蛋白质含量和脂肪含量进行QTL定位,可为其分子标记辅助育种提供依据。以回交导入系群体中黄13×中黄20的BC2F5的100个家系为材料,分析群体的SSR标记多态性,采用近红外光谱分析技术测定群体蛋白质含量和脂肪含量。构建了一张涵盖大豆20个连锁群、总长为948.01 c M、平均遗传距离为8.78 c M、包含108个SSR标记的大豆遗传连锁图谱。共检测到与蛋白质含量相关的QTL 5个,与脂肪含量相关的QTL 9个,其中Satt445~Sat_303连续2年被检测到与脂肪含量相关,Satt445~Sat_303与Satt543~Satt574均被检测到与蛋白质含量和脂肪含量相关,Sat_389~Satt590、Satt238~Satt388及Satt685~Sat_381均与脂肪含量相关。
基金the National Key R&D Program for Crop Breeding(2016YFD0101407)to Hua JP.
文摘Background:Genetic improvement in fiber quality is one of the main challenges for cotton breeders.Quantitative trait loci(QTL)mapping provides a powerful approach to dissect the molecular mechanism in fiber quality traits.In present study,F14 recombinant inbred line(RIL)population was backcrossed to paternal parent for a paternal backcross(BC/P)population,deriving from one upland cotton hybrid.Three repetitive BC/P field trials and one maternal backcross(BC/M)field trial were performed including both two BC populations and the original RIL population.Results:In total,24 novel QTLs are detected for fiber quality traits and among which 13 QTLs validated previous results.Thirty-five QTLs in BC/P populations explain 5.01%–22.09%of phenotype variation(PV).Among the 35 QTLs,23 QTLs are detected in BC/P population alone.Present study provides novel alleles of male parent for fiber quality traits with positive genetic effects.Particularly,qFS-Chr3–1 explains 22.09%of PV in BC/P population,which increaseds 0.48 cN·tex−1 for fiber strength.A total of 7,2,8,2 and 6 QTLs explain over 10.00%of PV for fiber length,fiber uniformity,fiber strength,fiber elongation and fiber micronaire,respectively.In RIL population,six common QTLs are detected in more than one environment:qFL-Chr1–2,qFS-Chr5–1,qFS-Chr9–1,qFS-Chr21–1,qFM-Chr9–1 and qFM-Chr9–2.Two common QTLs of qFE-Chr2–2(TMB2386-SWU12343)and qFM-Chr9–1(NAU2873-CGR6771)explain 22.42%and 21.91%of PV.The region between NAU4034 and TMB1296 harbor 30 genes(379 kb)in A05 and 42 genes(49 kb)in D05 for fiber length along the QTL qFL-Chr5–1 in BC/P population,respectively.In addition,a total of 142 and 46 epistatic QTLs and QTL×environments(E-QTLs and QQEs)are identified in recombinant inbred lines in paternal backcross(RIL-P)and paternal backcross(BC/P)populations,respectively.Conclusions:The present studies provide informative basis for improving cotton fiber quality in different populations.
基金supported by the National Key Research and Development Program of China (2021YFF1000100)the National Natural Science Foundation of China (31970564 and 32171982)the National Key Research and Development Program of China (2016YFD0100305)。
文摘Variation in patterns of recombination in plant genomes provides information about species evolution,genetic diversity and crop improvement. We investigated meiotic crossovers generated in biparental segregating and reciprocal backcross populations of the allopolyploid genome of rapeseed(Brassica napus)(AACC, 2n = 38). A structured set of 1445 intercrossed lines was derived from two homozygous de novo genome-assembled parents that represented the major genetic clusters of semi-winter Chinese and winter European rapeseeds, and was used to increase QTL resolution and achieve genomic reciprocal introgression. A high-density genetic map constructed with 6161 genetic bins and anchored centromere regions was used to establish the pattern of recombination variation in each chromosome. Around 93%of the genome contained crossovers at a mean rate of 3.8 c M Mb^(-1), with the remaining 7% attributed to centromeres or low marker density. Recombination hotspots predominated in the A genome, including two-thirds of those associated with breeding introgression from B. rapa. Genetic background might affect recombination variation. Introgression of genetic diversity from European winter to Chinese semi-winter rapeseed showed an increase in crossover rate under the semi-winter environment. Evidence for an elevated recombination rate having historically contributed to selective trait improvement includes accumulation of favorable alleles for seed oil content on hotspots of chromosome A10. Conversely, strong artificial selection may affect recombination rate variation, as appears to be the case with a coldspot resulting from strong selection for glucosinolate alleles on A09. But the cold region would be promptly reactivated by crossing design indicated by the pedigree analysis. Knowledge of recombination hotspots and coldspots associated with QTL for 22 traits can guide selection strategies for introgression breeding between the two gene pools. These results and rich genomic resources broaden our understanding of recombination behav
文摘An advanced backcross population of rice was used to identify the quantitative trait locus (QTL) controlling the cold-tolerance at booting to flowering stages. The recipient, Guichao 2 (GC2), was a commercial Indica rice; the donor Dongxiang common wild rice, was an accession of common wild rice (DXCWR, Oryza rufipogon Griff.). Three QTLs for cold-tolerance were detected on chromosomes 1, 6 and 11. Two of them coming from DXCWR could enhance the cold-tolerance of the backcross progenies. Moreover, one sterility QTL that could reduce the seed set rate of the backcross progenies by 78% was mapped on chromosome 5.
