Kernel size-related traits,including kernel length,kernel width,and kernel thickness,are critical components in determining yield and kernel quality in maize(Zea mays L.).Dissecting the phenotypic characteristics of t...Kernel size-related traits,including kernel length,kernel width,and kernel thickness,are critical components in determining yield and kernel quality in maize(Zea mays L.).Dissecting the phenotypic characteristics of these traits,and discovering the candidate chromosomal regions for these traits,are of potential importance for maize yield and quality improvement.In this study,a total of 139 F2:3 family lines derived from EHel and B73,a distinct line with extremely low ear height(EHel),was used for phenotyping and QTL mapping of three kernel sizerelated traits,including 10-kernel length(KL),10-kernel width(KWid),and 10-kernel thickness(KT).The results showed that only one QTL for KWid,i.e.,qKWid9 on Chr9,with a phenotypic variation explained(PVE)of 13.4%was detected between SNPs of AX-86298371 and AX-86298372,while no QTLs were detected for KL and KT across all 10 chromosomes.Four bulked groups of family lines,i.e.,Groups I to IV,were constructed with F2:3 family lines according to the phenotypic comparisons of KWid between EHel and B73.Among these four groups,Group I possessed a significantly lower KWid than EHel(P=0.0455),Group II was similar to EHel(P=0.34),while both Group III and Group IV were statistically higher than EHel(P<0.05).Besides,except Group IV exhibited a similar KWid to B73(P=0.11),KWid of Groups I to III were statistically lower than B73(P<0.00).By comparing the bulked genotypes of the four groups to EHel and B73,a stable chromosomal region on Chr9 between SNPs of AX-86298372 to AX-86263154,entirely covered by qKWid9,was identified to link KWid with the positive allele of increasing phenotypic effect to KWid from B73,similar to that of qKWid9.A large amount of enzyme activity and macromolecule binding-related genes were annotated within this chromosomal region,suggesting qKWid9 as a potential QTL for KWid in maize.展开更多
In recent years, Edwardsiella tarda has become one of the most deadly pathogens of Japanese fl ounder( Paralichthys olivaceus), causing serious annual losses in commercial production. In contrast to the rapid advances...In recent years, Edwardsiella tarda has become one of the most deadly pathogens of Japanese fl ounder( Paralichthys olivaceus), causing serious annual losses in commercial production. In contrast to the rapid advances in the aquaculture of P. o livaceus, the study of E. tarda resistance-related markers has lagged behind, hindering the development of a disease-resistant strain. Thus, a marker-trait association analysis was initiated, combining bulked segregant analysis(BSA) and quantitative trait loci(QTL) mapping. Based on 180 microsatellite loci across all chromosomes, 106 individuals from the F1333(♀: F0768 ×♂: F0915)(Nomenclature rule: F+year+family number) were used to detect simple sequence repeats(SSRs) and QTLs associated with E. tarda resistance. After a genomic scan, three markers(Scaffold 404-21589, Scaffold 404-21594 and Scaffold 270-13812) from the same linkage group(LG)-1 exhibited a signifi cant difference between DNA, pooled/bulked from the resistant and susceptible groups( P <0.001). Therefore, 106 individuals were genotyped using all the SSR markers in LG1 by single marker analysis. Two different analytical models were then employed to detect SSR markers with different levels of signifi cance in LG1, where 17 and 18 SSR markers were identifi ed, respectively. Each model found three resistance-related QTLs by composite interval mapping(CIM). These six QTLs, designated q E1–6, explained 16.0%–89.5% of the phenotypic variance. Two of the QTLs, q E-2 and q E-4, were located at the 66.7 c M region, which was considered a major candidate region for E. tarda resistance. This study will provide valuable data for further investigations of E. tarda resistance genes and facilitate the selective breeding of disease-resistant Japanese fl ounder in the future.展开更多
Two silkworm strains viz, B20 A (high cocoon shell ratio) and C. Nichi (low cocoon shell ratio) were sib mated for 10 generations to determine the homozygoeis. Both bulked segregant analysis (BSA) and near isogenic li...Two silkworm strains viz, B20 A (high cocoon shell ratio) and C. Nichi (low cocoon shell ratio) were sib mated for 10 generations to determine the homozygoeis. Both bulked segregant analysis (BSA) and near isogenic lines (NIL) studies were done to identify the RFLP markers doaely linked to cocoon shell parameters. Three hundred and fifty-two random clones were identified as the low copy number 'sequeiace and used for identification of Restriction Fragment Length Polyrnorphic (RFLP) marker linked to cocoon weight and cocoon shell character. In the bulk aegregant analysia, DNA from the parents (B20 A, C.Nichi), Fl and F2 progeny of high shell ratio (HSR) and low shell ratio (LSR) were screened for hybridization with the random clones. Polymorphic banding pattern achieved through southern hybridization with different probes indicated the probable correlation of polymorphism with high and low cocoon shell character which are possible landmarks in identifying the putative marker(s) for the cocoon shell character. Out of the 100 probes tried with parents, Fl, F2 and their bulks 10 probes were found to be closely linked to cocoon shell characters.展开更多
Bulked segregant analysis(BSA)is a rapid,cost-effective method for mapping mutations and quantitative trait loci(QTLs)in animals and plants based on high-throughput sequencing.However,the algorithms currently used for...Bulked segregant analysis(BSA)is a rapid,cost-effective method for mapping mutations and quantitative trait loci(QTLs)in animals and plants based on high-throughput sequencing.However,the algorithms currently used for BSA have not been systematically evaluated and are complex and fallible to operate.We developed a BSA method driven by deep learning,DeepBSA,for QTL mapping and functional gene cloning.DeepBSA is compatible with a variable number of bulked pools and performed well with various simulated and real datasets in both animals and plants.DeepBSA outperformed all other algorithms when comparing absolute bias and signal-to-noise ratio.Moreover,we applied DeepBSA to an F2 segregating maize population of 7160 individuals and uncovered five candidate QTLs,including three well-known plant-height genes.Finally,we developed a user-friendly graphical user interface for DeepBSA,by integrating five widely used BSA algorithms and our two newly developed algorithms,that is easy to operate and can quickly map QTLs and functional genes.The DeepBSA software is freely available to noncommercial users at http://zeasystemsbio.hzau.edu.cn/tools.html and https://github.com/lizhao007/DeepBSA.展开更多
基金the Natural Science Foundation of Chongqing(cstc2021jcyj-msxmX0583)Maize Germplasm Resources Protection Project,and Fundamental Research Funds for the Central Universities of Southwest University(SWU118087,XDJK2017C031,XDJK2017D072)。
文摘Kernel size-related traits,including kernel length,kernel width,and kernel thickness,are critical components in determining yield and kernel quality in maize(Zea mays L.).Dissecting the phenotypic characteristics of these traits,and discovering the candidate chromosomal regions for these traits,are of potential importance for maize yield and quality improvement.In this study,a total of 139 F2:3 family lines derived from EHel and B73,a distinct line with extremely low ear height(EHel),was used for phenotyping and QTL mapping of three kernel sizerelated traits,including 10-kernel length(KL),10-kernel width(KWid),and 10-kernel thickness(KT).The results showed that only one QTL for KWid,i.e.,qKWid9 on Chr9,with a phenotypic variation explained(PVE)of 13.4%was detected between SNPs of AX-86298371 and AX-86298372,while no QTLs were detected for KL and KT across all 10 chromosomes.Four bulked groups of family lines,i.e.,Groups I to IV,were constructed with F2:3 family lines according to the phenotypic comparisons of KWid between EHel and B73.Among these four groups,Group I possessed a significantly lower KWid than EHel(P=0.0455),Group II was similar to EHel(P=0.34),while both Group III and Group IV were statistically higher than EHel(P<0.05).Besides,except Group IV exhibited a similar KWid to B73(P=0.11),KWid of Groups I to III were statistically lower than B73(P<0.00).By comparing the bulked genotypes of the four groups to EHel and B73,a stable chromosomal region on Chr9 between SNPs of AX-86298372 to AX-86263154,entirely covered by qKWid9,was identified to link KWid with the positive allele of increasing phenotypic effect to KWid from B73,similar to that of qKWid9.A large amount of enzyme activity and macromolecule binding-related genes were annotated within this chromosomal region,suggesting qKWid9 as a potential QTL for KWid in maize.
基金Supported by the National Natural Science Foundation of China(No.31461163005)the Taishan Scholar Project of Shandong Province
文摘In recent years, Edwardsiella tarda has become one of the most deadly pathogens of Japanese fl ounder( Paralichthys olivaceus), causing serious annual losses in commercial production. In contrast to the rapid advances in the aquaculture of P. o livaceus, the study of E. tarda resistance-related markers has lagged behind, hindering the development of a disease-resistant strain. Thus, a marker-trait association analysis was initiated, combining bulked segregant analysis(BSA) and quantitative trait loci(QTL) mapping. Based on 180 microsatellite loci across all chromosomes, 106 individuals from the F1333(♀: F0768 ×♂: F0915)(Nomenclature rule: F+year+family number) were used to detect simple sequence repeats(SSRs) and QTLs associated with E. tarda resistance. After a genomic scan, three markers(Scaffold 404-21589, Scaffold 404-21594 and Scaffold 270-13812) from the same linkage group(LG)-1 exhibited a signifi cant difference between DNA, pooled/bulked from the resistant and susceptible groups( P <0.001). Therefore, 106 individuals were genotyped using all the SSR markers in LG1 by single marker analysis. Two different analytical models were then employed to detect SSR markers with different levels of signifi cance in LG1, where 17 and 18 SSR markers were identifi ed, respectively. Each model found three resistance-related QTLs by composite interval mapping(CIM). These six QTLs, designated q E1–6, explained 16.0%–89.5% of the phenotypic variance. Two of the QTLs, q E-2 and q E-4, were located at the 66.7 c M region, which was considered a major candidate region for E. tarda resistance. This study will provide valuable data for further investigations of E. tarda resistance genes and facilitate the selective breeding of disease-resistant Japanese fl ounder in the future.
文摘Two silkworm strains viz, B20 A (high cocoon shell ratio) and C. Nichi (low cocoon shell ratio) were sib mated for 10 generations to determine the homozygoeis. Both bulked segregant analysis (BSA) and near isogenic lines (NIL) studies were done to identify the RFLP markers doaely linked to cocoon shell parameters. Three hundred and fifty-two random clones were identified as the low copy number 'sequeiace and used for identification of Restriction Fragment Length Polyrnorphic (RFLP) marker linked to cocoon weight and cocoon shell character. In the bulk aegregant analysia, DNA from the parents (B20 A, C.Nichi), Fl and F2 progeny of high shell ratio (HSR) and low shell ratio (LSR) were screened for hybridization with the random clones. Polymorphic banding pattern achieved through southern hybridization with different probes indicated the probable correlation of polymorphism with high and low cocoon shell character which are possible landmarks in identifying the putative marker(s) for the cocoon shell character. Out of the 100 probes tried with parents, Fl, F2 and their bulks 10 probes were found to be closely linked to cocoon shell characters.
基金supported by the National Natural Science Foundation of China(31922068)HainanYazhouBay Seed Lab(B21HJ8102)+2 种基金themajor Program of Hubei Hongshan Laboratory(2021hszd008)Huazhong 3 Agricultural University Scientific&Technological Self-innovation Foundation(2021ZKPY001)Fundamental Research Funds for the Central Universities of China(2662020LXQD002).
文摘Bulked segregant analysis(BSA)is a rapid,cost-effective method for mapping mutations and quantitative trait loci(QTLs)in animals and plants based on high-throughput sequencing.However,the algorithms currently used for BSA have not been systematically evaluated and are complex and fallible to operate.We developed a BSA method driven by deep learning,DeepBSA,for QTL mapping and functional gene cloning.DeepBSA is compatible with a variable number of bulked pools and performed well with various simulated and real datasets in both animals and plants.DeepBSA outperformed all other algorithms when comparing absolute bias and signal-to-noise ratio.Moreover,we applied DeepBSA to an F2 segregating maize population of 7160 individuals and uncovered five candidate QTLs,including three well-known plant-height genes.Finally,we developed a user-friendly graphical user interface for DeepBSA,by integrating five widely used BSA algorithms and our two newly developed algorithms,that is easy to operate and can quickly map QTLs and functional genes.The DeepBSA software is freely available to noncommercial users at http://zeasystemsbio.hzau.edu.cn/tools.html and https://github.com/lizhao007/DeepBSA.
