1
|
Schoonmaker AN, Hulse-Kemp AM, Youngblood RC, Rahmat Z, Atif Iqbal M, Rahman MU, Kochan KJ, Scheffler BE, Scheffler JA. Detecting Cotton Leaf Curl Virus Resistance Quantitative Trait Loci in Gossypium hirsutum and iCottonQTL a New R/Shiny App to Streamline Genetic Mapping. PLANTS (BASEL, SWITZERLAND) 2023; 12:1153. [PMID: 36904013 PMCID: PMC10005503 DOI: 10.3390/plants12051153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/21/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
Cotton leaf curl virus (CLCuV) causes devastating losses to fiber production in Central Asia. Viral spread across Asia in the last decade is causing concern that the virus will spread further before resistant varieties can be bred. Current development depends on screening each generation under disease pressure in a country where the disease is endemic. We utilized quantitative trait loci (QTL) mapping in four crosses with different sources of resistance to identify single nucleotide polymorphism (SNP) markers associated with the resistance trait to allow development of varieties without the need for field screening every generation. To assist in the analysis of multiple populations, a new publicly available R/Shiny App was developed to streamline genetic mapping using SNP arrays and to also provide an easy method to convert and deposit genetic data into the CottonGen database. Results identified several QTL from each cross, indicating possible multiple modes of resistance. Multiple sources of resistance would provide several genetic routes to combat the virus as it evolves over time. Kompetitive allele specific PCR (KASP) markers were developed and validated for a subset of QTL, which can be used in further development of CLCuV-resistant cotton lines.
Collapse
Affiliation(s)
- Ashley N. Schoonmaker
- Bioinformatics Graduate Program, North Carolina State University, Raleigh, NC 27695, USA
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC 27695, USA
| | - Amanda M. Hulse-Kemp
- Bioinformatics Graduate Program, North Carolina State University, Raleigh, NC 27695, USA
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC 27695, USA
- USDA Agricultural Research Service, Genomics and Bioinformatics Research Unit, Raleigh, NC 27695, USA
| | - Ramey C. Youngblood
- Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Starkville, MS 39762, USA
| | - Zainab Rahmat
- Plant Genomics and Molecular Breeding Laboratory, National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute of Engineering and Applied Sciences, (NIBGE-C, PIEAS), Faisalabad 38000, Punjab, Pakistan
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Muhammad Atif Iqbal
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Mehboob-ur Rahman
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Kelli J. Kochan
- Institute for Genome Sciences and Society, Texas A&M University, College Station, TX 77843, USA
| | - Brian E. Scheffler
- USDA Agricultural Research Service, Genomics and Bioinformatics Research Unit, Stoneville, MS 38776, USA
| | - Jodi A. Scheffler
- USDA Agricultural Research Service, Crop Genetics Research Unit, Stoneville, MS 38776, USA
| |
Collapse
|
2
|
Newman CS, Andres RJ, Youngblood RC, Campbell JD, Simpson SA, Cannon SB, Scheffler BE, Oakley AT, Hulse-Kemp AM, Dunne JC. Initiation of genomics-assisted breeding in Virginia-type peanuts through the generation of a de novo reference genome and informative markers. FRONTIERS IN PLANT SCIENCE 2023; 13:1073542. [PMID: 36777543 PMCID: PMC9911918 DOI: 10.3389/fpls.2022.1073542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 12/28/2022] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Virginia-type peanut, Arachis hypogaea subsp. hypogaea, is the second largest market class of peanut cultivated in the United States. It is mainly used for large-seeded, in-shell products. Historically, Virginia-type peanut cultivars were developed through long-term recurrent phenotypic selection and wild species introgression projects. Contemporary genomic technologies represent a unique opportunity to revolutionize the traditional breeding pipeline. While there are genomic tools available for wild and cultivated peanuts, none are tailored specifically to applied Virginia-type cultivar development programs. METHODS AND RESPECTIVE RESULTS Here, the first Virginia-type peanut reference genome, "Bailey II", was assembled. It has improved contiguity and reduced instances of manual curation in chromosome arms. Whole-genome sequencing and marker discovery was conducted on 66 peanut lines which resulted in 1.15 million markers. The high marker resolution achieved allowed 34 unique wild species introgression blocks to be cataloged in the A. hypogaea genome, some of which are known to confer resistance to one or more pathogens. To enable marker-assisted selection of the blocks, 111 PCR Allele Competitive Extension assays were designed. Forty thousand high quality markers were selected from the full set that are suitable for mid-density genotyping for genomic selection. Genomic data from representative advanced Virginia-type peanut lines suggests this is an appropriate base population for genomic selection. DISCUSSION The findings and tools produced in this research will allow for rapid genetic gain in the Virginia-type peanut population. Genomics-assisted breeding will allow swift response to changing biotic and abiotic threats, and ultimately the development of superior cultivars for public use and consumption.
Collapse
Affiliation(s)
- Cassondra S. Newman
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Ryan J. Andres
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Ramey C. Youngblood
- Institute for Genomics, Biocomputing, and Biotechnology, Mississippi State University, Mississippi State, MS, United States
| | - Jacqueline D. Campbell
- United States Department of Agriculture–Agricultural Research Service (USDA–ARS), Corn Insects and Crop Genetics Research Unit, Ames, IA, United States
| | - Sheron A. Simpson
- United States Department of Agriculture–Agricultural Research Service Genomics and Bioinformatics Research Unit, Stoneville, MS, United States
| | - Steven B. Cannon
- United States Department of Agriculture–Agricultural Research Service (USDA–ARS), Corn Insects and Crop Genetics Research Unit, Ames, IA, United States
| | - Brian E. Scheffler
- United States Department of Agriculture–Agricultural Research Service Genomics and Bioinformatics Research Unit, Stoneville, MS, United States
| | - Andrew T. Oakley
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Amanda M. Hulse-Kemp
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
- United States Department of Agriculture–Agricultural Research Service Genomics and Bioinformatics Research Unit, Raleigh, NC, United States
| | - Jeffrey C. Dunne
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| |
Collapse
|
3
|
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: 5] [Impact Index Per Article: 2.5] [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.
Collapse
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,
| |
Collapse
|
4
|
Sharma D, Tiwari A, Sood S, Jamra G, Singh NK, Meher PK, Kumar A. Genome wide association mapping of agro-morphological traits among a diverse collection of finger millet (Eleusine coracana L.) genotypes using SNP markers. PLoS One 2018; 13:e0199444. [PMID: 30092057 PMCID: PMC6084814 DOI: 10.1371/journal.pone.0199444] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 06/07/2018] [Indexed: 11/19/2022] Open
Abstract
Finger millet (Eleusine coracana L.) is an important dry-land cereal in Asia and Africa because of its ability to provide assured harvest under extreme dry conditions and excellent nutritional properties. However, the genetic improvement of the crop is lacking in the absence of suitable genomic resources for reliable genotype-phenotype associations. Keeping this in view, a diverse global finger millet germplasm collection of 113 accessions was evaluated for 14 agro-morphological characters in two environments viz. ICAR-Vivekananda Institute of Hill Agriculture, Almora (E1) and Crop Research Centre (CRC), GBPUA&T, Pantnagar (E2), India. Principal component analysis and cluster analysis of phenotypic data separated the Indian and exotic accessions into two separate groups. Previously generated SNPs through genotyping by sequencing (GBS) were used for association mapping to identify reliable marker(s) linked to grain yield and its component traits. The marker trait associations were determined using single locus single trait (SLST), multi-locus mixed model (MLMM) and multi-trait mixed model (MTMM) approaches. SLST led to the identification of 20 marker-trait associations (MTAs) (p value<0.01 and <0.001) for 5 traits. While advanced models, MLMM and MTMM resulted in additional 36 and 53 MTAs, respectively. Nine MTAs were common out of total 109 associations in all the three mapping approaches (SLST, MLMM and MTMM). Among these nine SNPs, five SNP sequences showed homology to candidate genes of Oryza sativa (Rice) and Setaria italica (Foxtail millet), which play an important role in flowering, maturity and grain yield. In addition, 67 and 14 epistatic interactions were identified for 10 and 7 traits at E1 and E2 locations, respectively. Hence, the 109 novel SNPs associated with important agro-morphological traits, reported for the first time in this study could be precisely utilized in finger millet genetic improvement after validation.
Collapse
Affiliation(s)
- Divya Sharma
- Department of Molecular Biology & Genetic Engineering, G.B. Pant Univ. of Agriculture and Technology, Pantnagar, Uttarakhand, India
| | - Apoorv Tiwari
- Department of Molecular Biology & Genetic Engineering, G.B. Pant Univ. of Agriculture and Technology, Pantnagar, Uttarakhand, India
- Sam Higginbottom University of Agriculture, Technology & Sciences, Allahabad, Uttar Pradesh, India
| | - Salej Sood
- ICAR-Vivekananda Institute of Hill Agriculture, Almora, Uttarakhand, India
- * E-mail: (AK); (SS)
| | - Gautam Jamra
- Department of Molecular Biology & Genetic Engineering, G.B. Pant Univ. of Agriculture and Technology, Pantnagar, Uttarakhand, India
| | - N. K. Singh
- Department of Genetics & Plant Breeding, College of Agriculture, G.B. Pant Univ. of Agriculture & Technology, Pantnagar, Uttarakhand, India
| | - Prabina Kumar Meher
- Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Anil Kumar
- Department of Molecular Biology & Genetic Engineering, G.B. Pant Univ. of Agriculture and Technology, Pantnagar, Uttarakhand, India
- * E-mail: (AK); (SS)
| |
Collapse
|
5
|
Liu Y, Zhang B, Wen X, Zhang S, Wei Y, Lu Q, Liu Z, Wang K, Liu F, Peng R. Construction and characterization of a bacterial artificial chromosome library for Gossypium mustelinum. PLoS One 2018; 13:e0196847. [PMID: 29771937 PMCID: PMC5957370 DOI: 10.1371/journal.pone.0196847] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Accepted: 04/20/2018] [Indexed: 11/18/2022] Open
Abstract
A bacterial artificial chromosome (BAC) library for G. mustelinum Miers ex G. Watt (AD4) was constructed. Intact nuclei from G. mustelinum (AD4) were used to isolate high molecular weight DNA, which was partially cleaved with Hind III and cloned into pSMART BAC (Hind III) vectors. The BAC library consisted of 208,182 clones arrayed in 542 384-microtiter plates, with an average insert size of 121.72 kb ranging from 100 to 150 kb. About 2% of the clones did not contain inserts. Based on an estimated genome size of 2372 Mb for G. mustelinum, the BAC library was estimated to have a total coverage of 10.50 × genome equivalents. The high capacity library of G. mustelinum will serve as a giant gene resource for map-based cloning of quantitative trait loci or genes associated with important agronomic traits or resistance to Verticillium wilt, physical mapping and comparative genome analysis.
Collapse
Affiliation(s)
- Yuling Liu
- Anyang Institute of Technology, Anyang, Henan, China
| | - Baohong Zhang
- Department of Biology, East Carolina University, Greenville, NC, United States of America
| | - Xinpeng Wen
- Anyang Institute of Technology, Anyang, Henan, China
| | - Shulin Zhang
- Anyang Institute of Technology, Anyang, Henan, China
| | - Yangyang Wei
- Anyang Institute of Technology, Anyang, Henan, China
| | - Quanwei Lu
- Anyang Institute of Technology, Anyang, Henan, China
| | - Zhen Liu
- Anyang Institute of Technology, Anyang, Henan, China
| | - Kunbo Wang
- State Key Laboratory of Cotton Biology / Institute of Cotton Research of Chinese Academy of Agricultural Science, Anyang, Henan, China
| | - Fang Liu
- State Key Laboratory of Cotton Biology / Institute of Cotton Research of Chinese Academy of Agricultural Science, Anyang, Henan, China
- * E-mail: (FL); (RP)
| | - Renhai Peng
- Anyang Institute of Technology, Anyang, Henan, China
- State Key Laboratory of Cotton Biology / Institute of Cotton Research of Chinese Academy of Agricultural Science, Anyang, Henan, China
- * E-mail: (FL); (RP)
| |
Collapse
|
6
|
Zhu QH, Yuan Y, Stiller W, Jia Y, Wang P, Pan Z, Du X, Llewellyn D, Wilson I. Genetic dissection of the fuzzless seed trait in Gossypium barbadense. JOURNAL OF EXPERIMENTAL BOTANY 2018; 69:997-1009. [PMID: 29351643 PMCID: PMC6018843 DOI: 10.1093/jxb/erx459] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Accepted: 11/29/2017] [Indexed: 05/21/2023]
Abstract
Cotton fibres are single-celled trichomes arising from the epidermal cells of the seed coat and may be either long (lint) or very short (fuzz). The dominant fuzzless N1 of Gossypium hirsutum is a defective allele of the At-subgenome homoeolog of MYB25-like, but the genetic components underlying the recessive fuzzless trait from G. barbadense (Gb) are unknown. We have identified five genetic loci, including a major contributing locus containing MYB25-like_Dt, associated with Gb fuzzless seeds based on genotyping of fuzzy and fuzzless near isogenic lines (NILs) from an interspecies cross (G. barbadense × G. hirsutum). At 3 d post-anthesis when fuzz fibres are initiating, expression of MYB25-like_Dt was significantly lower in fuzzless NILs than in fuzzy seeded NILs, while higher MYB25-like_Dt expression was associated with more seed fuzz across different cotton genotypes. Phenotypic and genotypic analysis of MYB25-like homoeoalleles in cottons showing different fibre phenotypes and their crossing progeny indicated that both MYB25-like_At and MYB25-like_Dt are associated with lint development, and that fuzz development is mainly determined by the expression level of MYB25-like_Dt at ~3 d post-anthesis. Expression of Gb fuzzless seeds depends on genetic background and interactions amongst the multiple loci identified. MYB25-like_Dt is one of the best candidates for N2.
Collapse
Affiliation(s)
- Qian-Hao Zhu
- CSIRO Agriculture and Food, Canberra, ACT, Australia
- Correspondence: and
| | - Yuman Yuan
- CSIRO Agriculture and Food, Canberra, ACT, Australia
| | - Warwick Stiller
- CSIRO Agriculture and Food, Locked, Narrabri, NSW, Australia
| | - Yinhua Jia
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | - Pengpeng Wang
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | - Zhaoe Pan
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | - Xiongming Du
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | | | - Iain Wilson
- CSIRO Agriculture and Food, Canberra, ACT, Australia
- Correspondence: and
| |
Collapse
|
7
|
Saski CA, Scheffler BE, Hulse-Kemp AM, Liu B, Song Q, Ando A, Stelly DM, Scheffler JA, Grimwood J, Jones DC, Peterson DG, Schmutz J, Chen ZJ. Sub genome anchored physical frameworks of the allotetraploid Upland cotton (Gossypium hirsutum L.) genome, and an approach toward reference-grade assemblies of polyploids. Sci Rep 2017; 7:15274. [PMID: 29127298 PMCID: PMC5681701 DOI: 10.1038/s41598-017-14885-w] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Accepted: 10/18/2017] [Indexed: 01/06/2023] Open
Abstract
Like those of many agricultural crops, the cultivated cotton is an allotetraploid and has a large genome (~2.5 gigabase pairs). The two sub genomes, A and D, are highly similar but unequally sized and repeat-rich, which pose significant challenges for accurate genome reconstruction using standard approaches. Here we report the development of BAC libraries, sub genome specific physical maps, and a new-generation sequencing approach that will lead to a reference-grade genome assembly for Upland cotton. Three BAC libraries were constructed, fingerprinted, and integrated with BAC-end sequences (BES) to produce a de novo whole-genome physical map. The BAC map was partitioned by sub genomes through alignment to the diploid progenitor D-genome reference sequence with densely spaced BES anchor points and computational filtering. The physical maps were validated with FISH and genetic mapping of SNP markers derived from BES. Two pairs of homeologous chromosomes, A11/D11 and A12/D12, were used to assess multiplex sequencing approaches for completeness and scalability. The results represent the first sub genome anchored physical maps of Upland cotton, and a new-generation approach to the whole-genome sequencing, which will lead to the reference-grade assembly of allopolyploid cotton and serve as a general strategy for sequencing other polyploid species.
Collapse
Affiliation(s)
| | - Brian E Scheffler
- USDA-ARS, Genomics and Bioinformatics Research Unit, Stoneville, MS, USA
| | - Amanda M Hulse-Kemp
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA
| | - Bo Liu
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA
| | - Qingxin Song
- Department of Molecular Biosciences, Center for Computational Biology and Bioinformatics, and Institute for Cellular and Molecular Biology, University of Texas, Austin, TX, 78712, USA
| | - Atsumi Ando
- Department of Molecular Biosciences, Center for Computational Biology and Bioinformatics, and Institute for Cellular and Molecular Biology, University of Texas, Austin, TX, 78712, USA
| | - David M Stelly
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA
| | | | - Jane Grimwood
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Don C Jones
- Agriculture and Environmental Research, Cotton Incorporated, Cary, NC, USA
| | - Daniel G Peterson
- Institute for Genomics, Biocomputing & Biotechnology and Department of Plant & Soil Sciences, Mississippi State University, Mississippi State, MS, USA
| | - Jeremy Schmutz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
| | - Z Jeffery Chen
- Department of Molecular Biosciences, Center for Computational Biology and Bioinformatics, and Institute for Cellular and Molecular Biology, University of Texas, Austin, TX, 78712, USA.
| |
Collapse
|
8
|
Cai C, Zhu G, Zhang T, Guo W. High-density 80 K SNP array is a powerful tool for genotyping G. hirsutum accessions and genome analysis. BMC Genomics 2017; 18:654. [PMID: 28835210 PMCID: PMC5569476 DOI: 10.1186/s12864-017-4062-2] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2017] [Accepted: 08/15/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND High-throughput genotyping platforms play important roles in plant genomic studies. Cotton (Gossypium spp.) is the world's important natural textile fiber and oil crop. Upland cotton accounts for more than 90% of the world's cotton production, however, modern upland cotton cultivars have narrow genetic diversity. The amounts of genomic sequencing and re-sequencing data released make it possible to develop a high-quality single nucleotide polymorphism (SNP) array for intraspecific genotyping detection in cotton. RESULTS Here we report a high-throughput CottonSNP80K array and its utilization in genotyping detection in different cotton accessions. 82,259 SNP markers were selected from the re-sequencing data of 100 cotton cultivars and used to produce the array on the Illumina Infinium platform. 77,774 SNP loci (94.55%) were successfully synthesized on the array. Of them, 77,252 (99.33%) had call rates of >95% in 352 cotton accessions and 59,502 (76.51%) were polymorphic loci. Application tests using 22 cotton accessions with parent/F1 combinations or with similar genetic backgrounds showed that CottonSNP80K array had high genotyping accuracy, good repeatability, and wide applicability. Phylogenetic analysis of 312 cotton cultivars and landraces with wide geographical distribution showed that they could be classified into ten groups, irrelevant of their origins. We found that the different landraces were clustered in different subgroups, indicating that these landraces were major contributors to the development of different breeding populations of modern G. hirsutum cultivars in China. We integrated a total of 54,588 SNPs (MAFs >0.05) associated with 10 salt stress traits into 288 G. hirsutum accessions for genome-wide association studies (GWAS), and eight significant SNPs associated with three salt stress traits were detected. CONCLUSIONS We developed CottonSNP80K array with high polymorphism to distinguish upland cotton accessions. Diverse application tests indicated that the CottonSNP80K play important roles in germplasm genotyping, variety verification, functional genomics studies, and molecular breeding in cotton.
Collapse
Affiliation(s)
- Caiping Cai
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Hybrid Cotton R & D Engineering Research Center, Ministry of Education, Nanjing Agricultural University, Nanjing, 210095, China
| | - Guozhong Zhu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Hybrid Cotton R & D Engineering Research Center, Ministry of Education, Nanjing Agricultural University, Nanjing, 210095, China
| | - Tianzhen Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Hybrid Cotton R & D Engineering Research Center, Ministry of Education, Nanjing Agricultural University, Nanjing, 210095, China
| | - Wangzhen Guo
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Hybrid Cotton R & D Engineering Research Center, Ministry of Education, Nanjing Agricultural University, Nanjing, 210095, China. .,State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, People's Republic of China.
| |
Collapse
|
9
|
Cai C, Wu S, Niu E, Cheng C, Guo W. Identification of genes related to salt stress tolerance using intron-length polymorphic markers, association mapping and virus-induced gene silencing in cotton. Sci Rep 2017; 7:528. [PMID: 28373664 PMCID: PMC5428780 DOI: 10.1038/s41598-017-00617-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 03/06/2017] [Indexed: 12/20/2022] Open
Abstract
Intron length polymorphisms (ILPs), a type of gene-based functional marker, could themselves be related to the particular traits. Here, we developed a genome-wide cotton ILPs based on orthologs annotation from two sequenced diploid species, A-genome Gossypium arboreum and D-genome G. raimondii. We identified 10,180 putative ILP markers from 5,021 orthologous genes. Among these, 535 ILP markers from 9 gene families related to stress were selected for experimental verification. Polymorphic rates were 72.71% between G. arboreum and G. raimondii and 36.45% between G. hirsutum acc. TM-1 and G. barbadense cv. Hai7124. Furthermore, 14 polymorphic ILP markers were detected in 264 G. hirsutum accessions. Coupled with previous simple sequence repeats (SSRs) evaluations and salt tolerance assays from the same individuals, we found a total of 25 marker-trait associations involved in nine ILPs. The nine genes, temporally named as C1 to C9, showed the various expressions in different organs and tissues, and five genes (C3, C4, C5, C7 and C9) were significantly upregulated after salt treatment. We verified that the five genes play important roles in salt tolerance. Particularly, silencing of C4 (encodes WRKY DNA-binding protein) and C9 (encodes Mitogen-activated protein kinase) can significantly enhance cotton susceptibility to salt stress.
Collapse
Affiliation(s)
- Caiping Cai
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Hybrid Cotton R&D Engineering Research Center, Ministry of Education, Nanjing Agricultural University, Nanjing, 210095, China
| | - Shuang Wu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Hybrid Cotton R&D Engineering Research Center, Ministry of Education, Nanjing Agricultural University, Nanjing, 210095, China
| | - Erli Niu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Hybrid Cotton R&D Engineering Research Center, Ministry of Education, Nanjing Agricultural University, Nanjing, 210095, China
| | - Chaoze Cheng
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Hybrid Cotton R&D Engineering Research Center, Ministry of Education, Nanjing Agricultural University, Nanjing, 210095, China
| | - Wangzhen Guo
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Hybrid Cotton R&D Engineering Research Center, Ministry of Education, Nanjing Agricultural University, Nanjing, 210095, China.
| |
Collapse
|
10
|
Shen C, Jin X, Zhu D, Lin Z. Uncovering SNP and indel variations of tetraploid cottons by SLAF-seq. BMC Genomics 2017; 18:247. [PMID: 28330454 PMCID: PMC5363057 DOI: 10.1186/s12864-017-3643-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Accepted: 03/18/2017] [Indexed: 11/10/2022] Open
Abstract
Background Cotton (Gossypium spp.), as the world’s most utilized textile fibre source, is an important, economically valuable crop worldwide. Understanding the genomic variation of tetraploid cotton species is important for exploitation of the excellent characteristics of wild cotton and for improving the diversity of cotton in breeding. However, the discovery of DNA polymorphisms in tetraploid cotton genomes has lagged behind other important crops. Results A total of 111,795,823 reads, 467,735 specific length amplified fragment (SLAF) tags and 139,176 high-quality DNA polymorphisms were identified using specific length amplified fragment sequencing (SLAF-seq), including 132,880 SNPs and 6,296 InDels between the reference genome (TM-1) and the five tetraploid cotton species. Intriguingly, gene ontology (GO) enrichment analysis revealed that a number of significant terms were related to reproduction in G. barbadense acc. 3–79. Based on the new data sets, we reconstructed phylogenetic trees that showed a high concordance to the phylogeny of diploid and polyploid cottons. A large amount of interspecific genetic variations were identified, and some of them were validated by the single-strand conformation polymorphism (SSCP) method, which will be applied in introgression genetics and breeding with G. hirsutum cv. Emian22 as the receptor and the other species as donors. Conclusions Using SLAF-seq, a large number of DNA polymorphisms were identified. The comprehensive analysis of DNA polymorphisms provided invaluable insights into the different tetraploid cotton species. More importantly, the identification of numerous interspecific genetic variations provides the basis and is very practical for future introgression breeding. The results presented herein provide a valuable genomic resource for new insights into the genetics and breeding of cotton. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3643-4) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Chao Shen
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Xin Jin
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - De Zhu
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Zhongxu Lin
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| |
Collapse
|
11
|
Gimode D, Odeny DA, de Villiers EP, Wanyonyi S, Dida MM, Mneney EE, Muchugi A, Machuka J, de Villiers SM. Identification of SNP and SSR Markers in Finger Millet Using Next Generation Sequencing Technologies. PLoS One 2016; 11:e0159437. [PMID: 27454301 PMCID: PMC4959724 DOI: 10.1371/journal.pone.0159437] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 07/01/2016] [Indexed: 01/18/2023] Open
Abstract
Finger millet is an important cereal crop in eastern Africa and southern India with excellent grain storage quality and unique ability to thrive in extreme environmental conditions. Since negligible attention has been paid to improving this crop to date, the current study used Next Generation Sequencing (NGS) technologies to develop both Simple Sequence Repeat (SSR) and Single Nucleotide Polymorphism (SNP) markers. Genomic DNA from cultivated finger millet genotypes KNE755 and KNE796 was sequenced using both Roche 454 and Illumina technologies. Non-organelle sequencing reads were assembled into 207 Mbp representing approximately 13% of the finger millet genome. We identified 10,327 SSRs and 23,285 non-homeologous SNPs and tested 101 of each for polymorphism across a diverse set of wild and cultivated finger millet germplasm. For the 49 polymorphic SSRs, the mean polymorphism information content (PIC) was 0.42, ranging from 0.16 to 0.77. We also validated 92 SNP markers, 80 of which were polymorphic with a mean PIC of 0.29 across 30 wild and 59 cultivated accessions. Seventy-six of the 80 SNPs were polymorphic across 30 wild germplasm with a mean PIC of 0.30 while only 22 of the SNP markers showed polymorphism among the 59 cultivated accessions with an average PIC value of 0.15. Genetic diversity analysis using the polymorphic SNP markers revealed two major clusters; one of wild and another of cultivated accessions. Detailed STRUCTURE analysis confirmed this grouping pattern and further revealed 2 sub-populations within wild E. coracana subsp. africana. Both STRUCTURE and genetic diversity analysis assisted with the correct identification of the new germplasm collections. These polymorphic SSR and SNP markers are a significant addition to the existing 82 published SSRs, especially with regard to the previously reported low polymorphism levels in finger millet. Our results also reveal an unexploited finger millet genetic resource that can be included in the regional breeding programs in order to efficiently optimize productivity.
Collapse
Affiliation(s)
- Davis Gimode
- Kenyatta University, P.O. Box 43844–00100, Nairobi, Kenya
| | | | | | | | | | - Emmarold E. Mneney
- Mikocheni Agricultural Research Institute, P.O. Box 6226, Dar-Es-Salaam, Tanzania
| | - Alice Muchugi
- Kenyatta University, P.O. Box 43844–00100, Nairobi, Kenya
- ICRAF-Nairobi, P.O Box 30677, Nairobi, Kenya
| | - Jesse Machuka
- Kenyatta University, P.O. Box 43844–00100, Nairobi, Kenya
| | | |
Collapse
|
12
|
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: 108] [Impact Index Per Article: 12.0] [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.
Collapse
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
| |
Collapse
|