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Razzaq A, Zafar MM, Ali A, Hafeez A, Sharif F, Guan X, Deng X, Pengtao L, Shi Y, Haroon M, Gong W, Ren M, Yuan Y. The Pivotal Role of Major Chromosomes of Sub-Genomes A and D in Fiber Quality Traits of Cotton. Front Genet 2022; 12:642595. [PMID: 35401652 PMCID: PMC8988190 DOI: 10.3389/fgene.2021.642595] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 10/25/2021] [Indexed: 02/02/2023] Open
Abstract
Lack of precise information about the candidate genes involved in a complex quantitative trait is a major obstacle in the cotton fiber quality improvement, and thus, overall genetic gain in conventional phenotypic selection is low. Recent molecular interventions and advancements in genome sequencing have led to the development of high-throughput molecular markers, quantitative trait locus (QTL) fine mapping, and single nucleotide polymorphisms (SNPs). These advanced tools have resolved the existing bottlenecks in trait-specific breeding. This review demonstrates the significance of chromosomes 3, 7, 9, 11, and 12 of sub-genomes A and D carrying candidate genes for fiber quality. However, chromosome 7 carrying SNPs for stable and potent QTLs related to fiber quality provides great insights for fiber quality-targeted research. This information can be validated by marker-assisted selection (MAS) and transgene in Arabidopsis and subsequently in cotton.
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Affiliation(s)
- Abdul Razzaq
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan
- *Correspondence: Abdul Razzaq, ; Youlu Yuan , ; Maozhi Ren,
| | - Muhammad Mubashar Zafar
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
| | - Arfan Ali
- FB Genetics Four Brothers Group, Lahore, Pakistan
| | - Abdul Hafeez
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
| | - Faiza Sharif
- University Institute of Physical Therapy, The University of Lahore, Lahore, Pakistan
| | | | - Xiaoying Deng
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
| | - Li Pengtao
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
| | - Yuzhen Shi
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
| | - Muhammad Haroon
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Wankui Gong
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
| | - Maozhi Ren
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, China
- *Correspondence: Abdul Razzaq, ; Youlu Yuan , ; Maozhi Ren,
| | - Youlu Yuan
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, China
- *Correspondence: Abdul Razzaq, ; Youlu Yuan , ; Maozhi Ren,
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Mahmood T, Khalid S, Abdullah M, Ahmed Z, Shah MKN, Ghafoor A, Du X. Insights into Drought Stress Signaling in Plants and the Molecular Genetic Basis of Cotton Drought Tolerance. Cells 2019; 9:E105. [PMID: 31906215 PMCID: PMC7016789 DOI: 10.3390/cells9010105] [Citation(s) in RCA: 120] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 12/25/2019] [Accepted: 12/28/2019] [Indexed: 01/09/2023] Open
Abstract
Drought stress restricts plant growth and development by altering metabolic activity and biological functions. However, plants have evolved several cellular and molecular mechanisms to overcome drought stress. Drought tolerance is a multiplex trait involving the activation of signaling mechanisms and differentially expressed molecular responses. Broadly, drought tolerance comprises two steps: stress sensing/signaling and activation of various parallel stress responses (including physiological, molecular, and biochemical mechanisms) in plants. At the cellular level, drought induces oxidative stress by overproduction of reactive oxygen species (ROS), ultimately causing the cell membrane to rupture and stimulating various stress signaling pathways (ROS, mitogen-activated-protein-kinase, Ca2+, and hormone-mediated signaling). Drought-induced transcription factors activation and abscisic acid concentration co-ordinate the stress signaling and responses in cotton. The key responses against drought stress, are root development, stomatal closure, photosynthesis, hormone production, and ROS scavenging. The genetic basis, quantitative trait loci and genes of cotton drought tolerance are presented as examples of genetic resources in plants. Sustainable genetic improvements could be achieved through functional genomic approaches and genome modification techniques such as the CRISPR/Cas9 system aid the characterization of genes, sorted out from stress-related candidate single nucleotide polymorphisms, quantitative trait loci, and genes. Exploration of the genetic basis for superior candidate genes linked to stress physiology can be facilitated by integrated functional genomic approaches. We propose a third-generation sequencing approach coupled with genome-wide studies and functional genomic tools, including a comparative sequenced data (transcriptomics, proteomics, and epigenomic) analysis, which offer a platform to identify and characterize novel genes. This will provide information for better understanding the complex stress cellular biology of plants.
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Affiliation(s)
- Tahir Mahmood
- State Key Laboratory of Cotton Biology, Institute of Cotton Research (ICR), Chinese Academy of Agricultural Sciences (CAAS), Anyang 455000, China;
- Department of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan; (S.K.); (M.A.)
| | - Shiguftah Khalid
- Department of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan; (S.K.); (M.A.)
- National Agriculture Research Center (NARC), Pakistan Agriculture Research Council, Islamabad 44000, Pakistan
| | - Muhammad Abdullah
- Department of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan; (S.K.); (M.A.)
| | - Zubair Ahmed
- National Agriculture Research Center (NARC), Pakistan Agriculture Research Council, Islamabad 44000, Pakistan
| | - Muhammad Kausar Nawaz Shah
- Department of Plant Breeding and Genetics, Pir Mehar Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan; (S.K.); (M.A.)
| | - Abdul Ghafoor
- Member of Plant Sciences Division, Pakistan Agricultural Council (PARC), Islamabad 44000, Pakistan
| | - Xiongming Du
- State Key Laboratory of Cotton Biology, Institute of Cotton Research (ICR), Chinese Academy of Agricultural Sciences (CAAS), Anyang 455000, China;
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China
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Ashraf J, Zuo D, Wang Q, Malik W, Zhang Y, Abid MA, Cheng H, Yang Q, Song G. Recent insights into cotton functional genomics: progress and future perspectives. PLANT BIOTECHNOLOGY JOURNAL 2018; 16:699-713. [PMID: 29087016 PMCID: PMC5814580 DOI: 10.1111/pbi.12856] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 10/03/2017] [Accepted: 10/18/2017] [Indexed: 05/11/2023]
Abstract
Functional genomics has transformed from futuristic concept to well-established scientific discipline during the last decade. Cotton functional genomics promise to enhance the understanding of fundamental plant biology to systematically exploit genetic resources for the improvement of cotton fibre quality and yield, as well as utilization of genetic information for germplasm improvement. However, determining the cotton gene functions is a much more challenging task, which has not progressed at a rapid pace. This article presents a comprehensive overview of the recent tools and resources available with the major advances in cotton functional genomics to develop elite cotton genotypes. This effort ultimately helps to filter a subset of genes that can be used to assemble a final list of candidate genes that could be employed in future novel cotton breeding programme. We argue that next stage of cotton functional genomics requires the draft genomes refinement, re-sequencing broad diversity panels with the development of high-throughput functional genomics tools and integrating multidisciplinary approaches in upcoming cotton improvement programmes.
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Affiliation(s)
- Javaria Ashraf
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Dongyun Zuo
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Qiaolian Wang
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Waqas Malik
- Genomics LabDepartment of Plant Breeding and GeneticsFaculty of Agricultural Sciences and TechnologyBahauddin Zakariya UniversityMultanPunjabPakistan
| | - Youping Zhang
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Muhammad Ali Abid
- Genomics LabDepartment of Plant Breeding and GeneticsFaculty of Agricultural Sciences and TechnologyBahauddin Zakariya UniversityMultanPunjabPakistan
| | - Hailiang Cheng
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Qiuhong Yang
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Guoli Song
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
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Hinze LL, Hulse-Kemp AM, Wilson IW, Zhu QH, Llewellyn DJ, Taylor JM, Spriggs A, Fang DD, Ulloa M, Burke JJ, Giband M, Lacape JM, Van Deynze A, Udall JA, Scheffler JA, Hague S, Wendel JF, Pepper AE, Frelichowski J, Lawley CT, Jones DC, Percy RG, Stelly DM. Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array. BMC PLANT BIOLOGY 2017; 17:37. [PMID: 28158969 PMCID: PMC5291959 DOI: 10.1186/s12870-017-0981-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Accepted: 01/23/2017] [Indexed: 05/20/2023]
Abstract
BACKGROUND Cotton germplasm resources contain beneficial alleles that can be exploited to develop germplasm adapted to emerging environmental and climate conditions. Accessions and lines have traditionally been characterized based on phenotypes, but phenotypic profiles are limited by the cost, time, and space required to make visual observations and measurements. With advances in molecular genetic methods, genotypic profiles are increasingly able to identify differences among accessions due to the larger number of genetic markers that can be measured. A combination of both methods would greatly enhance our ability to characterize germplasm resources. Recent efforts have culminated in the identification of sufficient SNP markers to establish high-throughput genotyping systems, such as the CottonSNP63K array, which enables a researcher to efficiently analyze large numbers of SNP markers and obtain highly repeatable results. In the current investigation, we have utilized the SNP array for analyzing genetic diversity primarily among cotton cultivars, making comparisons to SSR-based phylogenetic analyses, and identifying loci associated with seed nutritional traits. RESULTS The SNP markers distinctly separated G. hirsutum from other Gossypium species and distinguished the wild from cultivated types of G. hirsutum. The markers also efficiently discerned differences among cultivars, which was the primary goal when designing the CottonSNP63K array. Population structure within the genus compared favorably with previous results obtained using SSR markers, and an association study identified loci linked to factors that affect cottonseed protein content. CONCLUSIONS Our results provide a large genome-wide variation data set for primarily cultivated cotton. Thousands of SNPs in representative cotton genotypes provide an opportunity to finely discriminate among cultivated cotton from around the world. The SNPs will be relevant as dense markers of genome variation for association mapping approaches aimed at correlating molecular polymorphisms with variation in phenotypic traits, as well as for molecular breeding approaches in cotton.
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Affiliation(s)
- Lori L. Hinze
- USDA-ARS, Crop Germplasm Research Unit, College Station, TX 77845 USA
| | - Amanda M. Hulse-Kemp
- Department of Plant Sciences and Seed Biotechnology Center, University of California-Davis, Davis, CA 95616 USA
| | - Iain W. Wilson
- CSIRO Agriculture & Food, Black Mountain Laboratories, Canberra, ACT 2601 Australia
| | - Qian-Hao Zhu
- CSIRO Agriculture & Food, Black Mountain Laboratories, Canberra, ACT 2601 Australia
| | - Danny J. Llewellyn
- CSIRO Agriculture & Food, Black Mountain Laboratories, Canberra, ACT 2601 Australia
| | - Jen M. Taylor
- CSIRO Agriculture & Food, Black Mountain Laboratories, Canberra, ACT 2601 Australia
| | - Andrew Spriggs
- CSIRO Agriculture & Food, Black Mountain Laboratories, Canberra, ACT 2601 Australia
| | - David D. Fang
- USDA-ARS, Cotton Fiber Bioscience Research Unit, New Orleans, LA 70124 USA
| | - Mauricio Ulloa
- USDA-ARS, Cropping Systems Research Laboratory, Plant Stress and Germplasm Development Research Unit, Lubbock, TX 79415 USA
| | - John J. Burke
- USDA-ARS, Cropping Systems Research Laboratory, Plant Stress and Germplasm Development Research Unit, Lubbock, TX 79415 USA
| | - Marc Giband
- CIRAD, UMR AGAP, Montpellier, F34398 France
- EMBRAPA, Algodão, Nucleo Cerrado, 75.375-000 Santo Antônio de Goias, GO Brazil
| | | | - Allen Van Deynze
- Department of Plant Sciences and Seed Biotechnology Center, University of California-Davis, Davis, CA 95616 USA
| | - Joshua A. Udall
- Plant and Wildlife Science Department, Brigham Young University, Provo, UT 84602 USA
| | - Jodi A. Scheffler
- USDA-ARS, Jamie Whitten Delta States Research Center, Stoneville, MS 38776 USA
| | - Steve Hague
- Department of Soil & Crop Sciences, Texas A&M University, College Station, TX 77843 USA
| | - Jonathan F. Wendel
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011 USA
| | - Alan E. Pepper
- Department of Biology, Texas A&M University, College Station, TX 77843 USA
- Interdisciplinary Department of Genetics, Texas A&M University, College Station, TX 77843 USA
| | | | - Cindy T. Lawley
- Illumina Inc., 499 Illinois Street, San Francisco, CA 94158 USA
| | - Don C. Jones
- Cotton Incorporated, Agricultural Research, Cary, NC 27513 USA
| | - Richard G. Percy
- USDA-ARS, Crop Germplasm Research Unit, College Station, TX 77845 USA
| | - David M. Stelly
- Department of Soil & Crop Sciences, Texas A&M University, College Station, TX 77843 USA
- Interdisciplinary Department of Genetics, Texas A&M University, College Station, TX 77843 USA
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Kottapalli P, Ulloa M, Kottapalli KR, Payton P, Burke J. SNP Marker Discovery in Pima Cotton ( Gossypium barbadense L.) Leaf Transcriptomes. GENOMICS INSIGHTS 2016; 9:51-60. [PMID: 27721653 PMCID: PMC5049682 DOI: 10.4137/gei.s40377] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 08/22/2016] [Accepted: 08/24/2016] [Indexed: 11/17/2022]
Abstract
The objective of this study was to explore the known narrow genetic diversity and discover single-nucleotide polymorphic (SNP) markers for marker-assisted breeding within Pima cotton (Gossypium barbadense L.) leaf transcriptomes. cDNA from 25-day plants of three diverse cotton genotypes [Pima S6 (PS6), Pima S7 (PS7), and Pima 3-79 (P3-79)] was sequenced on Illumina sequencing platform. A total of 28.9 million reads (average read length of 138 bp) were generated by sequencing cDNA libraries of these three genotypes. The de novo assembly of reads generated transcriptome sets of 26,369 contigs for PS6, 25,870 contigs for PS7, and 24,796 contigs for P3-79. A Pima leaf reference transcriptome was generated consisting of 42,695 contigs. More than 10,000 single-nucleotide polymorphisms (SNPs) were identified between the genotypes, with 100% SNP frequency and a minimum of eight sequencing reads. The most prevalent SNP substitutions were C-T and A-G in these cotton genotypes. The putative SNPs identified can be utilized for characterizing genetic diversity, genotyping, and eventually in Pima cotton breeding through marker-assisted selection.
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Affiliation(s)
- Pratibha Kottapalli
- Center for Biotechnology and Genomics, Texas Tech University, Lubbock, TX, USA
| | - Mauricio Ulloa
- USDA-ARS, PA, CSRL, Plant Stress and Germplasm Development Research, Lubbock, TX, USA
| | | | - Paxton Payton
- USDA-ARS, PA, CSRL, Plant Stress and Germplasm Development Research, Lubbock, TX, USA
| | - John Burke
- USDA-ARS, PA, CSRL, Plant Stress and Germplasm Development Research, Lubbock, TX, USA
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Hulse-Kemp AM, Lemm J, Plieske J, Ashrafi H, Buyyarapu R, Fang DD, Frelichowski J, Giband M, Hague S, Hinze LL, Kochan KJ, Riggs PK, Scheffler JA, Udall JA, Ulloa M, Wang SS, Zhu QH, Bag SK, Bhardwaj A, Burke JJ, Byers RL, Claverie M, Gore MA, Harker DB, Islam MS, Jenkins JN, Jones DC, Lacape JM, Llewellyn DJ, Percy RG, Pepper AE, Poland JA, Mohan Rai K, Sawant SV, Singh SK, Spriggs A, Taylor JM, Wang F, Yourstone SM, Zheng X, Lawley CT, Ganal MW, Van Deynze A, Wilson IW, Stelly DM. Development of a 63K SNP Array for Cotton and High-Density Mapping of Intraspecific and Interspecific Populations of Gossypium spp. G3 (BETHESDA, MD.) 2015; 5:1187-209. [PMID: 25908569 PMCID: PMC4478548 DOI: 10.1534/g3.115.018416] [Citation(s) in RCA: 121] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Accepted: 04/11/2015] [Indexed: 11/18/2022]
Abstract
High-throughput genotyping arrays provide a standardized resource for plant breeding communities that are useful for a breadth of applications including high-density genetic mapping, genome-wide association studies (GWAS), genomic selection (GS), complex trait dissection, and studying patterns of genomic diversity among cultivars and wild accessions. We have developed the CottonSNP63K, an Illumina Infinium array containing assays for 45,104 putative intraspecific single nucleotide polymorphism (SNP) markers for use within the cultivated cotton species Gossypium hirsutum L. and 17,954 putative interspecific SNP markers for use with crosses of other cotton species with G. hirsutum. The SNPs on the array were developed from 13 different discovery sets that represent a diverse range of G. hirsutum germplasm and five other species: G. barbadense L., G. tomentosum Nuttal × Seemann, G. mustelinum Miers × Watt, G. armourianum Kearny, and G. longicalyx J.B. Hutchinson and Lee. The array was validated with 1,156 samples to generate cluster positions to facilitate automated analysis of 38,822 polymorphic markers. Two high-density genetic maps containing a total of 22,829 SNPs were generated for two F2 mapping populations, one intraspecific and one interspecific, and 3,533 SNP markers were co-occurring in both maps. The produced intraspecific genetic map is the first saturated map that associates into 26 linkage groups corresponding to the number of cotton chromosomes for a cross between two G. hirsutum lines. The linkage maps were shown to have high levels of collinearity to the JGI G. raimondii Ulbrich reference genome sequence. The CottonSNP63K array, cluster file and associated marker sequences constitute a major new resource for the global cotton research community.
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Affiliation(s)
- Amanda M Hulse-Kemp
- Department of Soil & Crop Sciences, Texas A&M University, College Station, Texas 77843 Interdisciplinary Degree Program in Genetics, Texas A&M University, College Station, Texas 77843
| | - Jana Lemm
- TraitGenetics GmbH, 06466 Gatersleben, Germany
| | | | - Hamid Ashrafi
- Department of Plant Sciences and Seed Biotechnology Center, University of California-Davis, Davis, California 95616
| | - Ramesh Buyyarapu
- Dow AgroSciences, Trait Genetics and Technologies, Indianapolis, Indiana 46268
| | - David D Fang
- USDA-ARS-SRRC, Cotton Fiber Bioscience Research Unit, New Orleans, Louisiana 70124
| | - James Frelichowski
- USDA-ARS-SPARC, Crop Germplasm Research Unit, College Station, Texas 77845
| | - Marc Giband
- CIRAD, UMR AGAP, Montpellier, F34398, France EMBRAPA, Algodão, Nucleo Cerrado, 75.375-000 Santo Antônio de Goias, GO, Brazil
| | - Steve Hague
- Department of Soil & Crop Sciences, Texas A&M University, College Station, Texas 77843
| | - Lori L Hinze
- USDA-ARS-SPARC, Crop Germplasm Research Unit, College Station, Texas 77845
| | - Kelli J Kochan
- Department of Animal Science, Texas A&M University, College Station, Texas 77843
| | - Penny K Riggs
- Interdisciplinary Degree Program in Genetics, Texas A&M University, College Station, Texas 77843 Department of Animal Science, Texas A&M University, College Station, Texas 77843
| | - Jodi A Scheffler
- USDA-ARS, Jamie Whitten Delta States Research Center, Stoneville, Mississippi 38776
| | - Joshua A Udall
- Brigham Young University, Plant and Wildlife Science Department, Provo, Utah 84602
| | - Mauricio Ulloa
- USDA-ARS, PA, Plant Stress and Germplasm Development Research Unit, Lubbock, Texas 79415
| | - Shirley S Wang
- USDA-ARS-SPARC, Crop Germplasm Research Unit, College Station, Texas 77845
| | - Qian-Hao Zhu
- CSIRO Agriculture Flagship, Black Mountain Laboratories, ACT 2601, Australia
| | - Sumit K Bag
- CSIR-National Botanical Research Institute, Plant Molecular Biology Division, Lucknow-226001, UP, India
| | - Archana Bhardwaj
- CSIR-National Botanical Research Institute, Plant Molecular Biology Division, Lucknow-226001, UP, India
| | - John J Burke
- USDA-ARS, PA, Plant Stress and Germplasm Development Research Unit, Lubbock, Texas 79415
| | - Robert L Byers
- Brigham Young University, Plant and Wildlife Science Department, Provo, Utah 84602
| | | | - Michael A Gore
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, New York 14853
| | - David B Harker
- Brigham Young University, Plant and Wildlife Science Department, Provo, Utah 84602
| | - Md S Islam
- USDA-ARS-SRRC, Cotton Fiber Bioscience Research Unit, New Orleans, Louisiana 70124
| | - Johnie N Jenkins
- USDA-ARS, Genetics and Precision Agriculture Research, Mississippi State, Mississippi 39762
| | - Don C Jones
- Cotton Incorporated, Agricultural Research, Cary, North Carolina 27513
| | | | - Danny J Llewellyn
- CSIRO Agriculture Flagship, Black Mountain Laboratories, ACT 2601, Australia
| | - Richard G Percy
- USDA-ARS-SPARC, Crop Germplasm Research Unit, College Station, Texas 77845
| | - Alan E Pepper
- Interdisciplinary Degree Program in Genetics, Texas A&M University, College Station, Texas 77843 Department of Biology, Texas A&M University, College Station, Texas 77843
| | - Jesse A Poland
- Wheat Genetics Resource Center, Department of Plant Pathology and Department of Agronomy, Kansas State University, Manhattan, Kansas 66506
| | - Krishan Mohan Rai
- CSIR-National Botanical Research Institute, Plant Molecular Biology Division, Lucknow-226001, UP, India
| | - Samir V Sawant
- CSIR-National Botanical Research Institute, Plant Molecular Biology Division, Lucknow-226001, UP, India
| | - Sunil Kumar Singh
- CSIR-National Botanical Research Institute, Plant Molecular Biology Division, Lucknow-226001, UP, India
| | - Andrew Spriggs
- CSIRO Agriculture Flagship, Black Mountain Laboratories, ACT 2601, Australia
| | - Jen M Taylor
- CSIRO Agriculture Flagship, Black Mountain Laboratories, ACT 2601, Australia
| | - Fei Wang
- Department of Soil & Crop Sciences, Texas A&M University, College Station, Texas 77843
| | - Scott M Yourstone
- Brigham Young University, Plant and Wildlife Science Department, Provo, Utah 84602
| | - Xiuting Zheng
- Department of Soil & Crop Sciences, Texas A&M University, College Station, Texas 77843
| | | | | | - Allen Van Deynze
- Department of Plant Sciences and Seed Biotechnology Center, University of California-Davis, Davis, California 95616
| | - Iain W Wilson
- CSIRO Agriculture Flagship, Black Mountain Laboratories, ACT 2601, Australia
| | - David M Stelly
- Department of Soil & Crop Sciences, Texas A&M University, College Station, Texas 77843 Interdisciplinary Degree Program in Genetics, Texas A&M University, College Station, Texas 77843
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7
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Hulse-Kemp AM, Ashrafi H, Stoffel K, Zheng X, Saski CA, Scheffler BE, Fang DD, Chen ZJ, Van Deynze A, Stelly DM. BAC-End Sequence-Based SNP Mining in Allotetraploid Cotton (Gossypium) Utilizing Resequencing Data, Phylogenetic Inferences, and Perspectives for Genetic Mapping. G3 (BETHESDA, MD.) 2015; 5:1095-105. [PMID: 25858960 PMCID: PMC4478540 DOI: 10.1534/g3.115.017749] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Accepted: 03/30/2015] [Indexed: 11/25/2022]
Abstract
A bacterial artificial chromosome library and BAC-end sequences for cultivated cotton (Gossypium hirsutum L.) have recently been developed. This report presents genome-wide single nucleotide polymorphism (SNP) mining utilizing resequencing data with BAC-end sequences as a reference by alignment of 12 G. hirsutum L. lines, one G. barbadense L. line, and one G. longicalyx Hutch and Lee line. A total of 132,262 intraspecific SNPs have been developed for G. hirsutum, whereas 223,138 and 470,631 interspecific SNPs have been developed for G. barbadense and G. longicalyx, respectively. Using a set of interspecific SNPs, 11 randomly selected and 77 SNPs that are putatively associated with the homeologous chromosome pair 12 and 26, we mapped 77 SNPs into two linkage groups representing these chromosomes, spanning a total of 236.2 cM in an interspecific F2 population (G. barbadense 3-79 × G. hirsutum TM-1). The mapping results validated the approach for reliably producing large numbers of both intraspecific and interspecific SNPs aligned to BAC-ends. This will allow for future construction of high-density integrated physical and genetic maps for cotton and other complex polyploid genomes. The methods developed will allow for future Gossypium resequencing data to be automatically genotyped for identified SNPs along the BAC-end sequence reference for anchoring sequence assemblies and comparative studies.
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Affiliation(s)
- Amanda M Hulse-Kemp
- Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas 77843 Interdisciplinary Genetics Program, Texas A&M University, College Station, Texas 77843
| | - Hamid Ashrafi
- Seed Biotechnology Center, University of California, Davis, California 95616
| | - Kevin Stoffel
- Seed Biotechnology Center, University of California, Davis, California 95616
| | - Xiuting Zheng
- Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas 77843
| | - Christopher A Saski
- Clemson University Genomics Institute, Clemson University, Clemson, South Carolina 29634
| | - Brian E Scheffler
- USDA-ARS, Genomics and Bioinformatics Research Unit, Stoneville, Mississippi 38766
| | - David D Fang
- USDA-ARS, Cotton Fiber Bioscience Research Unit, New Orleans, Louisiana 70124
| | - Z Jeffrey Chen
- Department of Molecular Biosciences, Center for Computational Biology and Bioinformatics, and Institute for Cellular and Molecular Biology, The University of Texas, Austin, Texas 78712
| | - Allen Van Deynze
- Seed Biotechnology Center, University of California, Davis, California 95616
| | - David M Stelly
- Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas 77843 Interdisciplinary Genetics Program, Texas A&M University, College Station, Texas 77843
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