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| 1 | Progress and perspective on cotton breeding in Pakistan显示文摘Cotton is the prime natural fiber with economic significance globally.Cotton farming and breeding have a long his-tory in Pakistan.The development of high yielding upland cotton(Gossypium hirsutum)varieties gradually replaced the cultivation of diploid Gossypium species.Climate change along with emergence of new epidemic diseases caused yield loss in recent years.The biotic stress considerably reduced the performance and yield potential of cotton.Suit-able breeding strategies are essential to generate useful genetic variations and to identify desired traits.Conventional breeding has remarkably increased cotton yield and fiber quality,which has cultivated the NIAB-78,S-12,MNH‐786,and FH‐Lalazar like cultivars.However,this phenotypic selection based breeding method has low efficiency to pro-duce stress resilient cotton.The efficiency of traditional breeding has significantly improved by the marker assisted selection technology.Breakthroughs in molecular genetics,bioinformatics analysis,genetic engineering,and genome sequencing have opened new technique routes for cotton breeding.In addition,genetic improvement through quantitative trait loci,transcriptome,and CRISPR/Cas9 mediated genomic editing can provide suitable platform to improve the resistance to stresses induced by bollworms,cotton leaf curl virus,heat,drought,and salt.The approval of transgenic lines harboring triple gene Cry1Ac+Cry2A+GTG are critical for cotton crop.This review has critically discussed the progress and limitations of cotton breeding in Pakistan,and reviewed the utilization of novel genetic variations and selection tools for sustainable cotton production. | SHAHZAD Kashif MUBEEN Iqra ZHANG Meng ZHANG Xuexian WU Jianyong XING Chaozhu | 2022 | Journal of Cotton Research2022，5，4： | 0 |
| 2 | Genetic map construction and functional characterization of genes within the segregation distortion regions(SDRs)in the F_(2:3) populations derived from wild cotton species of the D genome显示文摘Background:Segregation distortion(SD)is a common phenomenon among stable or segregating populations,and the principle behind it still puzzles many researchers.The F2:3 progenies developed from the wild cotton species of the D genomes were used to investigate the possible plant transcription factors within the segregation distortion regions(SDRs).A consensus map was developed between two maps from the four D genomes,map A derived from F2:3 progenies of Gossypium klotzschianum and G.davidsonii while Map B from G.thurberi and G.trilobum F2:3 generations.In each map,188 individual plants were used.Results:The consensus linkage map had 1492 markers across the 13 linkage groups with a map size of 1467.445 cM and an average marker distance of 1.0370 cM.Chromosome D502 had the highest percentage of SD with 58.6%,followed by Chromosome D507 with 47.9%.Six thousand and thirty-eight genes were mined within the SDRs on chromosome D502 and D507 of the consensus map.Within chromosome D502 and D507,2308 and 3730 genes were mined,respectively,and were found to belong to 1117 gourp out of which 622 groups were common across the two chromosomes.Moreover,genes within the top 9 groups related to plant resistance genes(R genes),whereas 188 genes encoding protein kinase domain(PF00069)comprised the largest group.Further analysis of the dominant gene group revealed that 287 miRNAs were found to target various genes,such as the gra-miR398,gramiR5207,miR164a,miR164b,miR164c among others,which have been found to target top-ranked stress-responsive transcription factors such as NAC genes.Moreover,some of the stress-responsive cis-regulatory elements were also detected.Furthermore,RNA profiling of the genes from the dominant family showed that higher numbers of genes were highly upregulated under salt and osmotic stress conditions,and also they were highly expressed at different stages of fiber development.Conclusion:The results indicated the critical role of the SDRs in the evolution of the key regulatory genes in plants. | KIRUNGU Joy Nyangasi MAGWANGA Richard Odongo SHIRAKU Margaret Linyerera LU Pu MEHARI Teame Gereziher XU Yuanchao HOU Yuqing AGONG Stephen Gaya ZHOU Yun CAI Xiaoyan ZHOU Zhongli WANG Kunbo LIU Fang | 2020 | Journal of Cotton Research2020，3，4： | 0 |
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