Development of Superior Fibre Quality Upland Cotton Cultivar Series ‘Ravnaq’ Using Marker-Assisted Selection

Marker-assisted selection (MAS) helps to shorten breeding time as well as reduce breeding resources and efforts. In our MAS program, we have targeted one of previously reported LD-blocks with its simple sequence repeat (SSR) marker(s), putatively associated with, at least, four different fibre quality QTLs such as fibre length, strength, micronaire and uniformity. In order to transfer targeted QTLs from a donor genotype to a cultivar of choice, we selected G. hirsutum donor genotypes L-141 and LN-1, possessing a fibre quality trait-associated LD-block from the chromosome 7/16. We crossed the donor lines with local elite G. hirsutum cultivars ‘Andijan-35’ and ‘Mekhnat’ as recipients. As a result, two segregating populations on LD-block of interest containing fibre QTLs were developed through backcrossing (BC) of F1 hybrids with their relative recipients (used as recurrent parents) up to five generations. In each BC and segregating BC1-5F1 populations, a transfer of targeted LD-block/QTLs was monitored using a highly polymorphic SSR marker, BNL1604 genotype. The homozygous cultivar genotypes with superior fibre quality and agronomic traits, bearing a targeted LD-block of interest, were individually selected from self-pollinated BC5F1 (BC5F2–5) population plants using the early-season PCR screening analysis of BNL1604 marker locus and the end-of-season fibre quality parameters. Only improved hybrids with superior fibre quality compared to original recipient parent were used for the next cycle of breeding. We successfully developed two novel MAS-derived cotton cultivars (named as ‘Ravnaq-1’ and ‘Ravnaq-2’) of BC5F5 generations. Both novel MAS cultivars possessed stronger and longer fibre as well as improved fibre uniformity and micronaire compared to the original recurrent parents, ‘Andijan-35’ and ‘Mekhnat’. Our efforts demonstrated a precise transfer of the same LD-block with, at least, four superior fibre QTLs in the two independent MAS breeding experiments exploiting different parental genotypes. Results exemplify the feasibility of MAS in cotton breeding.

[1]  John Z. Yu,et al.  Genetic Diversity, QTL Mapping, and Marker-Assisted Selection Technology in Cotton (Gossypium spp.) , 2021, Frontiers in Plant Science.

[2]  S. Amiteye Basic concepts and methodologies of DNA marker systems in plant molecular breeding , 2021, Heliyon.

[3]  Don C. Jones,et al.  Stability and transferability assessment of the cotton fiber strength QTL qFS-c7-1 on chromosome A07 , 2020 .

[4]  Xiyin Wang,et al.  Sequencing Multiple Cotton Genomes Reveals Complex Structures and Lays Foundation for Breeding , 2020, Frontiers in Plant Science.

[5]  Nan Zhao,et al.  Fiber Quality Improvement in Upland Cotton (Gossypium hirsutum L.): Quantitative Trait Loci Mapping and Marker Assisted Selection Application , 2019, Front. Plant Sci..

[6]  Yumei Wang,et al.  Cumulative and different genetic effects contributed to yield heterosis using maternal and paternal backcross populations in Upland cotton , 2019, Scientific Reports.

[7]  D. Stelly,et al.  Insights Into Upland Cotton (Gossypium hirsutum L.) Genetic Recombination Based on 3 High-Density Single-Nucleotide Polymorphism and a Consensus Map Developed Independently With Common Parents , 2017, Genomics insights.

[8]  S. Myles,et al.  Exploiting Wild Relatives for Genomics-assisted Breeding of Perennial Crops , 2017, Front. Plant Sci..

[9]  Don C. Jones,et al.  Utility Assessment of Published Microsatellite Markers for Fiber Length and Bundle Strength QTL in a Cotton Breeding Program , 2016 .

[10]  F. Liu,et al.  Main Effect QTL with Dominance Determines Heterosis for Dynamic Plant Height in Upland Cotton , 2016, G3: Genes, Genomes, Genetics.

[11]  H. Liu,et al.  Detection and validation of one stable fiber strength QTL on c9 in tetraploid cotton , 2016, Molecular Genetics and Genomics.

[12]  Mingzhou Song,et al.  Genetic analysis of Verticillium wilt resistance in a backcross inbred line population and a meta-analysis of quantitative trait loci for disease resistance in cotton , 2015, BMC Genomics.

[13]  Zhongxu Lin,et al.  A comparative meta-analysis of QTL between intraspecific Gossypium hirsutum and interspecific G. hirsutum × G. barbadense populations , 2015, Molecular Genetics and Genomics.

[14]  A. Paterson,et al.  Genetic map and QTL controlling fiber quality traits in upland cotton (Gossypium hirsutum L.) , 2015, Euphytica.

[15]  Y. Wang,et al.  Association mapping and favourable allele exploration for plant architecture traits in upland cotton (Gossypium hirsutum L.) accessions , 2015, The Journal of Agricultural Science.

[16]  Tianzhen Zhang,et al.  Exploitation of Chinese Upland Cotton Cultivar Germplasm Resources to Mine Favorable QTL Alleles Using Association Mapping , 2014 .

[17]  J. Jenkins,et al.  Quantitative trait loci analysis of fiber quality traits using a random-mated recombinant inbred population in Upland cotton (Gossypium hirsutum L.) , 2014, BMC Genomics.

[18]  Yong Liu,et al.  Identifying QTL for fiber quality traits with three upland cotton (Gossypium hirsutum L.) populations , 2014, Euphytica.

[19]  Zhaohu Li,et al.  Construction of a linkage map and QTL mapping for fiber quality traits in upland cotton (Gossypium hirsutum L.) , 2013 .

[20]  Liang Zhao,et al.  Toward allotetraploid cotton genome assembly: integration of a high-density molecular genetic linkage map with DNA sequence information , 2012, BMC Genomics.

[21]  Haihong Shang,et al.  QTL mapping for fiber quality traits across multiple generations and environments in upland cotton , 2012, Molecular Breeding.

[22]  Shiyi Tang,et al.  Genetic mapping and quantitative trait locus analysis of fiber quality traits using a three-parent composite population in upland cotton (Gossypium hirsutum L.) , 2012, Molecular Breeding.

[23]  Liuming Wang,et al.  Genetic effects of introgression genomic components from Sea Island cotton (Gossypium barbadense L.) on fiber related traits in upland cotton (G. hirsutum L.) , 2011, Euphytica.

[24]  John Z. Yu,et al.  Linkage disequilibrium based association mapping of fiber quality traits in G. hirsutum L. variety germplasm , 2009, Genetica.

[25]  L. Zeng,et al.  Identification of associations between SSR markers and fiber traits in an exotic germplasm derived from multiple crosses among Gossypium tetraploid species , 2009, Theoretical and Applied Genetics.

[26]  J. Jenkins,et al.  Integrative placement and orientation of non-redundant SSR loci in cotton linkage groups by deficiency analysis , 2009, Molecular Breeding.

[27]  John Z. Yu,et al.  Molecular diversity and association mapping of fiber quality traits in exotic G. hirsutum L. germplasm. , 2008, Genomics.

[28]  Guo Wangzhen,et al.  Molecular cloning and characterization of a cytosolic glutamine synthetase gene, a fiber strength-associated gene in cotton , 2008, Planta.

[29]  D. Mackill,et al.  Marker-assisted selection: an approach for precision plant breeding in the twenty-first century , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.

[30]  Tianzhen Zhang,et al.  A Microsatellite-Based, Gene-Rich Linkage Map Reveals Genome Structure, Function and Evolution in Gossypium , 2007, Genetics.

[31]  U. Reddy,et al.  Simple sequence repeat marker associated with a natural leaf defoliation trait in tetraploid cotton. , 2005, The Journal of heredity.

[32]  E. Pang,et al.  An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: The basic concepts , 2005, Euphytica.

[33]  John Z. Yu,et al.  Molecular mapping of QTLs for fiber qualities in three diverse lines in Upland cotton using SSR markers , 2005, Molecular Breeding.

[34]  R. G. Petersen,et al.  Agricultural Field Experiments: Design and Analysis , 1994 .

[35]  S. Tanksley,et al.  RFLP Mapping in Plant Breeding: New Tools for an Old Science , 1989, Bio/Technology.

[36]  James B. Hicks,et al.  A plant DNA minipreparation: Version II , 1983, Plant Molecular Biology Reporter.

[37]  Harlan Lewis,et al.  CATASTROPHIC SELECTION AS A FACTOR IN SPECIATION , 1962 .

[38]  I. Abdurakhmonov,et al.  Cotton research in Uzbekistan: Elite varieties and future of cotton breeding , 2020 .

[39]  Ze Peng,et al.  Use of quantitative trait loci to develop stress tolerance in plants , 2020 .

[40]  A. Paterson,et al.  Construction of genetic map and QTL analysis of fiber quality traits for Upland cotton (Gossypium hirsutum L.) , 2014, Euphytica.

[41]  Tianzhen Zhang,et al.  Association analysis of fiber quality traits and exploration of elite alleles in Upland cotton cultivars/accessions (Gossypium hirsutum L.). , 2014, Journal of integrative plant biology.

[42]  Tianzhen Zhang,et al.  Molecular tagging of QTLs for fiber quality and yield in the upland cotton cultivar Acala-Prema , 2013, Euphytica.

[43]  Jiwen Yu,et al.  Mapping quantitative trait loci for lint yield and fiber quality across environments in a Gossypium hirsutum × Gossypium barbadense backcross inbred line population , 2012, Theoretical and Applied Genetics.

[44]  I. Abdurakhmonov,et al.  Utilization of Natural Diversity in Upland Cotton ( G . hirsutum ) Germplasm Collection for Pyramiding Genes via Marker-assisted Selection Program , 2011 .

[45]  Jun Zhu,et al.  Quantitative analysis and QTL mapping for agronomic and fiber traits in an RI population of upland cotton , 2008, Euphytica.

[46]  Zhongxu Lin,et al.  QTL mapping for economic traits based on a dense genetic map of cotton with PCR-based markers using the interspecific cross of Gossypium hirsutum × Gossypium barbadense , 2006, Euphytica.

[47]  C. A. Thomas,et al.  Molecular cloning. , 1977, Advances in pathobiology.