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      Development of a 63K SNP Array for Cotton and High-Density Mapping of Intraspecific and Interspecific Populations of Gossypium spp.

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      * , , , , § , ** , †† , ‡‡ , §§ , *** , * , ‡‡ , ††† , , ††† , ‡‡‡ , §§§ , **** , ‡‡ , †††† , ‡‡‡‡ , ‡‡‡‡ , **** , §§§ , §§ , §§§§ , §§§ , †† , ***** , ††††† , §§ , †††† , ‡‡ , , ‡‡‡‡‡ , §§§§§ , ‡‡‡‡ , ‡‡‡‡ , ‡‡‡‡ , †††† , †††† , * , §§§ , * , ****** , , § , †††† , * , , 1
      G3: Genes|Genomes|Genetics
      Genetics Society of America
      linkage analysis, recombination, interspecific SNPs, intraspecific SNPs, breeding

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          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 F 2 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.

          Most cited references17

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          Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences

          Increased reliance on computational approaches in the life sciences has revealed grave concerns about how accessible and reproducible computation-reliant results truly are. Galaxy http://usegalaxy.org, an open web-based platform for genomic research, addresses these problems. Galaxy automatically tracks and manages data provenance and provides support for capturing the context and intent of computational methods. Galaxy Pages are interactive, web-based documents that provide users with a medium to communicate a complete computational analysis.
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            A Large Maize (Zea mays L.) SNP Genotyping Array: Development and Germplasm Genotyping, and Genetic Mapping to Compare with the B73 Reference Genome

            SNP genotyping arrays have been useful for many applications that require a large number of molecular markers such as high-density genetic mapping, genome-wide association studies (GWAS), and genomic selection. We report the establishment of a large maize SNP array and its use for diversity analysis and high density linkage mapping. The markers, taken from more than 800,000 SNPs, were selected to be preferentially located in genes and evenly distributed across the genome. The array was tested with a set of maize germplasm including North American and European inbred lines, parent/F1 combinations, and distantly related teosinte material. A total of 49,585 markers, including 33,417 within 17,520 different genes and 16,168 outside genes, were of good quality for genotyping, with an average failure rate of 4% and rates up to 8% in specific germplasm. To demonstrate this array's use in genetic mapping and for the independent validation of the B73 sequence assembly, two intermated maize recombinant inbred line populations – IBM (B73×Mo17) and LHRF (F2×F252) – were genotyped to establish two high density linkage maps with 20,913 and 14,524 markers respectively. 172 mapped markers were absent in the current B73 assembly and their placement can be used for future improvements of the B73 reference sequence. Colinearity of the genetic and physical maps was mostly conserved with some exceptions that suggest errors in the B73 assembly. Five major regions containing non-colinearities were identified on chromosomes 2, 3, 6, 7 and 9, and are supported by both independent genetic maps. Four additional non-colinear regions were found on the LHRF map only; they may be due to a lower density of IBM markers in those regions or to true structural rearrangements between lines. Given the array's high quality, it will be a valuable resource for maize genetics and many aspects of maize breeding.
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              CottonGen: a genomics, genetics and breeding database for cotton research

              CottonGen (http://www.cottongen.org) is a curated and integrated web-based relational database providing access to publicly available genomic, genetic and breeding data for cotton. CottonGen supercedes CottonDB and the Cotton Marker Database, with enhanced tools for easier data sharing, mining, visualization and data retrieval of cotton research data. CottonGen contains annotated whole genome sequences, unigenes from expressed sequence tags (ESTs), markers, trait loci, genetic maps, genes, taxonomy, germplasm, publications and communication resources for the cotton community. Annotated whole genome sequences of Gossypium raimondii are available with aligned genetic markers and transcripts. These whole genome data can be accessed through genome pages, search tools and GBrowse, a popular genome browser. Most of the published cotton genetic maps can be viewed and compared using CMap, a comparative map viewer, and are searchable via map search tools. Search tools also exist for markers, quantitative trait loci (QTLs), germplasm, publications and trait evaluation data. CottonGen also provides online analysis tools such as NCBI BLAST and Batch BLAST.
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                Author and article information

                Journal
                G3 (Bethesda)
                Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes|Genomes|Genetics
                Genetics Society of America
                2160-1836
                22 April 2015
                June 2015
                : 5
                : 6
                : 1187-1209
                Affiliations
                [* ]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
                []TraitGenetics GmbH, 06466 Gatersleben, Germany
                [§ ]Department of Plant Sciences and Seed Biotechnology Center, University of California-Davis, Davis, California 95616
                [** ]Dow AgroSciences, Trait Genetics and Technologies, Indianapolis, Indiana 46268
                [†† ]USDA-ARS-SRRC, Cotton Fiber Bioscience Research Unit, New Orleans, Louisiana 70124
                [‡‡ ]USDA-ARS-SPARC, Crop Germplasm Research Unit, College Station, Texas 77845
                [§§ ]CIRAD, UMR AGAP, Montpellier, F34398, France
                [*** ]EMBRAPA, Algodão, Nucleo Cerrado, 75.375-000 Santo Antônio de Goias, GO, Brazil
                [††† ]Department of Animal Science, Texas A&M University, College Station, Texas 77843
                [‡‡‡ ]USDA-ARS, Jamie Whitten Delta States Research Center, Stoneville, Mississippi 38776
                [§§§ ]Brigham Young University, Plant and Wildlife Science Department, Provo, Utah 84602
                [**** ]USDA-ARS, PA, Plant Stress and Germplasm Development Research Unit, Lubbock, Texas 79415
                [†††† ]CSIRO Agriculture Flagship, Black Mountain Laboratories, ACT 2601, Australia
                [‡‡‡‡ ]CSIR-National Botanical Research Institute, Plant Molecular Biology Division, Lucknow-226001, UP, India
                [‡‡‡‡‡ ]Department of Biology, Texas A&M University, College Station, Texas 77843
                [§§§§ ]Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, New York 14853
                [***** ]USDA-ARS, Genetics and Precision Agriculture Research, Mississippi State, Mississippi 39762
                [††††† ]Cotton Incorporated, Agricultural Research, Cary, North Carolina 27513
                [§§§§§ ]Wheat Genetics Resource Center, Department of Plant Pathology and Department of Agronomy, Kansas State University, Manhattan, Kansas 66506
                [****** ]Illumina Inc., San Francisco, California 94158
                Author notes
                [1 ]Corresponding author: Texas A&M University, 370 Olsen Blvd., 2474 TAMU, College Station, TX 77843-2474. E-mail stelly@ 123456tamu.edu
                Author information
                http://orcid.org/0000-0001-9670-9433
                http://orcid.org/0000-0002-2094-2367
                http://orcid.org/0000-0002-5343-9960
                http://orcid.org/0000-0003-0036-5459
                http://orcid.org/0000-0001-8124-8283
                http://orcid.org/0000-0003-3296-320X
                http://orcid.org/0000-0001-7897-2916
                http://orcid.org/0000-0002-6505-7417
                http://orcid.org/0000-0001-8907-2841
                http://orcid.org/0000-0001-6896-8024
                http://orcid.org/0000-0002-7635-5049
                http://orcid.org/0000-0002-4897-8812
                http://orcid.org/0000-0002-8574-4708
                http://orcid.org/0000-0002-2093-0577
                http://orcid.org/0000-0002-3468-4119
                Article
                GGG_018416
                10.1534/g3.115.018416
                4478548
                25908569
                0ae10a3a-b4d4-4405-94e9-5481a285ae28
                Copyright © 2015 Hulse-Kemp et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License ( http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 February 2015
                : 11 April 2015
                Page count
                Pages: 23
                Categories
                Investigations

                Genetics
                linkage analysis,recombination,interspecific snps,intraspecific snps,breeding
                Genetics
                linkage analysis, recombination, interspecific snps, intraspecific snps, breeding

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