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      SSR-Linkage map of interspecific populations derived from Gossypium trilobum and Gossypium thurberi and determination of genes harbored within the segregating distortion regions

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          Abstract

          Wild cotton species have significant agronomic traits that can be introgressed into elite cultivated varieties. The use of a genetic map is important in exploring, identification and mining genes which carry significant traits. In this study, 188 F 2mapping individuals were developed from Gossypium thurberi (female) and Gossypium trilobum (male), and were genotyped by using simple sequence repeat (SSR) markers. A total of 12,560 simple sequence repeat (SSR) markers, developed by Southwest University, thus coded SWU were screened out of which only 994 were found to be polymorphic, and 849 markers were linked in all the 13 chromosomes. The map had a length of 1,012.458 cM with an average marker distance of 1.193 cM. Segregation distortion regions (SDRs) were observed on Chr01, Chr02, Chr06, Chr07 Chr09, Chr10 and Chr11 with a large proportion of the SDR regions segregating towards the heterozygous allele. There was good syntenic block formation that revealed good collinearity between the genetic and physical map of G. raimondii, compared to the Dt_sub genome of the G. hirsutum and G. barbadense. A total of 2,496 genes were mined within the SSR related regions. The proteins encoding the mined genes within the SDR had varied physiochemical properties; their molecular weights ranged from 6.586 to 252.737 kDa, charge range of -39.5 to 52, grand hydropathy value (GRAVY) of -1.177 to 0.936 and isoelectric (pI) value of 4.087 to 12.206. The low GRAVY values detected showed that the proteins encoding these genes were hydrophilic in nature, a property common among the stress responsive genes. The RNA sequence analysis revealed more of the genes were highly upregulated in various stages of fiber development for instance; Gorai. 002G241300 was highly up regulated at 5, 10, 20 and 25 day post anthesis (DPA). Validation through RT-qPCR further revealed that these genes mined within the SDR regions might be playing a significant role under fiber development stages, therefore we infer that Gorai.007G347600 ( TFCA), Gorai.012G141600 ( FOLB1), Gorai.006G024500 ( NMD3), Gorai.002G229900 ( LST8) and Gorai.002G235200 ( NSA2) are significantly important in fiber development and in turn the quality, and further researches needed to be done to elucidate their exact roles in the fiber development process. The construction of the genetic map between the two wild species paves away for the mapping of quantitative trait loci (QTLs) since the average distance between the markers is small, and mining of genes on the SSR regions will provide an insight in identifying key genes that can be introgressed into the cultivated cotton cultivars.

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          Analysis of a chemical plant defense mechanism in grasses.

          In the Gramineae, the cyclic hydroxamic acids 2,4-dihydroxy-1, 4-benzoxazin-3-one (DIBOA) and 2,4-dihydroxy-7-methoxy-1, 4-benzoxazin-3-one (DIMBOA) form part of the defense against insects and microbial pathogens. Five genes, Bx1 through Bx5, are required for DIBOA biosynthesis in maize. The functions of these five genes, clustered on chromosome 4, were demonstrated in vitro. Bx1 encodes a tryptophan synthase alpha homolog that catalyzes the formation of indole for the production of secondary metabolites rather than tryptophan, thereby defining the branch point from primary to secondary metabolism. Bx2 through Bx5 encode cytochrome P450-dependent monooxygenases that catalyze four consecutive hydroxylations and one ring expansion to form the highly oxidized DIBOA.
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            Data mining for simple sequence repeats in expressed sequence tags from barley, maize, rice, sorghum and wheat.

            Plant genomics projects involving model species and many agriculturally important crops are resulting in a rapidly increasing database of genomic and expressed DNA sequences. The publicly available collection of expressed sequence tags (ESTs) from several grass species can be used in the analysis of both structural and functional relationships in these genomes. We analyzed over 260000 EST sequences from five different cereals for their potential use in developing simple sequence repeat (SSR) markers. The frequency of SSR-containing ESTs (SSR-ESTs) in this collection varied from 1.5% for maize to 4.7% for rice. In addition, we identified several ESTs that are related to the SSR-ESTs by BLAST analysis. The SSR-ESTs and the related sequences were clustered within each species in order to reduce the redundancy and to produce a longer consensus sequence. The consensus and singleton sequences from each species were pooled and clustered to identify cross-species matches. Overall a reduction in the redundancy by 85% was observed when the resulting consensus and singleton sequences (3569) were compared to the total number of SSR-EST and related sequences analyzed (24 606). This information can be useful for the development of SSR markers that can amplify across the grass genera for comparative mapping and genetics. Functional analysis may reveal their role in plant metabolism and gene evolution.
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              Detection of single sequence repeat polymorphisms in denaturing polyacrylamide sequencing gels by silver staining

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Investigation
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: Project administrationRole: ResourcesRole: Software
                Role: MethodologyRole: Project administrationRole: Resources
                Role: InvestigationRole: Project administrationRole: Writing – review & editing
                Role: InvestigationRole: Project administrationRole: Resources
                Role: ConceptualizationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: Visualization
                Role: ConceptualizationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: Visualization
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administration
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: VisualizationRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                12 November 2018
                2018
                : 13
                : 11
                : e0207271
                Affiliations
                [1 ] State Key Laboratory of Cotton Biology /Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, Henan, China
                [2 ] School of Life Science, Henan University/State Key Laboratory of Cotton Biology/Henan Key Laboratory of Plant Stress Biology, Kaifeng, Henan, China
                [3 ] School of Biological and Physical Sciences (SBPS), Jaramogi Oginga Odinga University of Science and Technology (JOOUST), Bondo- Kenya
                [4 ] Biological and Food Engineering, Anyang Institute of technology, Anyang, Henan, China
                USDA-ARS Southern Regional Research Center, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-9299-1176
                http://orcid.org/0000-0002-1900-5798
                http://orcid.org/0000-0002-6213-9572
                Article
                PONE-D-18-16319
                10.1371/journal.pone.0207271
                6231669
                30419064
                9dcf9caa-b9e3-4cbd-9e65-c70581c1329a
                © 2018 Li et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 2 August 2018
                : 29 October 2018
                Page count
                Figures: 6, Tables: 4, Pages: 26
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: Grant No. 31530053, 31601352
                Award Recipient :
                Funded by: The National Key Research and Development Plan of China
                Award ID: Grant No. 2016YFD0100306, 2016YFD0101401
                Award Recipient :
                This research was funded by the Natural Science Foundation of China (Grant No. 31601352, 31530053) and The National Key Research and Development Plan of China (Grant No. 2017YFD0101601, 2016YFD0101401) to FL. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Gene Mapping
                Research and Analysis Methods
                Molecular Biology Techniques
                Gene Mapping
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Flowering Plants
                Cotton
                Biology and life sciences
                Biochemistry
                Proteins
                DNA-binding proteins
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Gene Mapping
                Chromosome Mapping
                Research and Analysis Methods
                Molecular Biology Techniques
                Gene Mapping
                Chromosome Mapping
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Gene Mapping
                Physical Mapping
                Research and Analysis Methods
                Molecular Biology Techniques
                Gene Mapping
                Physical Mapping
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Fiber Crops
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Gene Mapping
                Linkage Mapping
                Research and Analysis Methods
                Molecular Biology Techniques
                Gene Mapping
                Linkage Mapping
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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