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      The genetic diversity and relationships of cauliflower ( Brassica oleracea var. botrytis) inbred lines assessed by using SSR markers

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          Abstract

          Inbred lines are important germplasm in cauliflower breeding programs. To understand the genetic diversity and relationships of cauliflower inbred lines, the use of simple sequence repeat (SSR) markers will be of great value for parental line selection and breeding strategy design. In this study, the genetic diversity and relationships of 165 cauliflower inbred lines primarily derived from southeast China were assessed using SSR markers. Forty-three SSR markers were polymorphic across these inbred lines and generated a total of 111 alleles. The mean values of the number of alleles (Na), effective number of alleles (Ne), Shannon’s Information index (I), and polymorphism information content (PIC) per locus were 2.581, 1.599, 0.517 and 0.316, respectively. Genetic distance values among all pairs of the inbred lines varied from 0 to 0.67 with an average of 0.30. On the basis of genetic distance data estimated with the SSR markers, the 165 cauliflower inbred lines were classified into four main clusters (from group Ⅰ to group Ⅳ) by cluster analysis and four subpopulations (from POP 1 to POP 4) by structure analysis. The classification patterns of most cauliflower inbred lines were not consistent with their curd maturity, curd solidity or geographic origins. These results based on estimates by the SSR markers, suggested the genetic diversity of the 165 cauliflower inbred lines was relatively narrow. Therefore, pyramiding the valuable genes among different types of the cauliflower inbred lines is important to increase the genetic diversity to obtain desirable hybridization combinations. The information generated in this report will be useful for assessing germplasm and breeding in cauliflower.

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          Most cited references31

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          Population structure and association mapping of yield contributing agronomic traits in foxtail millet.

          Association analyses accounting for population structure and relative kinship identified eight SSR markers ( p < 0.01) showing significant association ( R (2) = 18 %) with nine agronomic traits in foxtail millet. Association mapping is an efficient tool for identifying genes regulating complex traits. Although association mapping using genomic simple sequence repeat (SSR) markers has been successfully demonstrated in many agronomically important crops, very few reports are available on marker-trait association analysis in foxtail millet. In the present study, 184 foxtail millet accessions from diverse geographical locations were genotyped using 50 SSR markers representing the nine chromosomes of foxtail millet. The genetic diversity within these accessions was examined using a genetic distance-based and a general model-based clustering method. The model-based analysis using 50 SSR markers identified an underlying population structure comprising five sub-populations which corresponded well with distance-based groupings. The phenotyping of plants was carried out in the field for three consecutive years for 20 yield contributing agronomic traits. The linkage disequilibrium analysis considering population structure and relative kinship identified eight SSR markers (p < 0.01) on different chromosomes showing significant association (R (2) = 18 %) with nine agronomic traits. Four of these markers were associated with multiple traits. The integration of genetic and physical map information of eight SSR markers with their functional annotation revealed strong association of two markers encoding for phospholipid acyltransferase and ubiquitin carboxyl-terminal hydrolase located on the same chromosome (5) with flag leaf width and grain yield, respectively. Our findings on association mapping is the first report on Indian foxtail millet germplasm and this could be effectively applied in foxtail millet breeding to further uncover marker-trait associations with a large number of markers.
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            Development of a set of public SSR markers derived from genomic sequence of a rapid cycling Brassica oleracea L. genotype.

            The traditional development of simple sequence repeat (SSR) or microsatellite markers by probe hybridization can be time-consuming and requires the use of specialized laboratory equipment. In this study, probe hybridization was circumvented by using sequence information on 3,500 genomic clones mainly from Brassica oleracea to identify di, tri, tetra and penta-nucleotide repeats. A total of 587 primer pairs flanking SSR were developed using this approach. From these, 420 SSR markers amplified DNA in two parental lines of B. rapa (26% were polymorphic) and 523 in two parental lines of B. oleracea (32% were polymorphic). A diverse array of motif types was identified, characterized and compared with traditional SSR detection methods. The most abundant motifs found were di- (38%) and trinucleotides (33%) followed by penta- (16%) and tetranucleotide (13%) motifs. The type of motif class, motif length and repeat were not indicative of polymorphisms. The frequency of B. oleracea SSRs in genomic shotgun sequence was estimated to be 1 every 4 Kb. In general, the average motif length and repeat numbers were shorter than those obtained previously by probe hybridization, and they contained a more balanced representation of SSR motif types in the genome by identifying those that do not hybridize well to DNA probes. Brassica genomic DNA sequence information is a promising resource for developing a large number of SSR molecular markers in Brassica species.
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              High-density Brassica oleracea linkage map: identification of useful new linkages.

              We constructed a 1,257-marker, high-density genetic map of Brassica oleracea spanning 703 cM in nine linkage groups, designated LG1-LG9. It was developed in an F2 segregating population of 143 individuals obtained by crossing double haploid plants of broccoli "Early-Big" and cauliflower "An-Nan Early". These markers are randomly distributed throughout the map, which includes a total of 1,062 genomic SRAP markers, 155 cDNA SRAP markers, 26 SSR markers, 3 broccoli BAC end sequences and 11 known Brassica genes: BoGSL-ALK, BoGSL-ELONG, BoGSL-PROa, BoGSL-PROb, BoCS-lyase, BoGS-OH, BoCYP79F1, BoS-GT (glucosinolate pathway), BoDM1 (resistance to downy mildew), BoCALa, BoAP1a (inflorescence architecture). BoDM1 and BoGSL-ELONG are linked on LG 2 at 0.8 cM, making it possible to use the glucosinolate gene as a marker for the disease resistance gene. By QTL analysis, we found three segments involved in curd formation in cauliflower. The map was aligned to the C genome linkage groups and chromosomes of B. oleracea and B. napus, and anchored to the physical map of A. thaliana. This map adds over 1,000 new markers to Brassica molecular tools.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: Writing – original draft
                Role: Resources
                Role: Resources
                Role: Resources
                Role: Resources
                Role: ConceptualizationRole: Data curationRole: Supervision
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                6 December 2018
                2018
                : 13
                : 12
                : e0208551
                Affiliations
                [1 ] Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Crop Science, Fujian Agriculture and Forestry University, Fuzhou, P.R. China
                [2 ] Key Laboratory of Crop Breeding in South Zhejiang, Wenzhou Vocational College of Science and Technology, Wenzhou, P.R. China
                United States Department of Agriculture, UNITED STATES
                Author notes

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

                Author information
                http://orcid.org/0000-0002-8270-0400
                Article
                PONE-D-18-24970
                10.1371/journal.pone.0208551
                6283626
                30521622
                6bd5d561-b79c-4d7e-8efb-cc6e0beaea71
                © 2018 Zhu 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
                : 24 August 2018
                : 19 November 2018
                Page count
                Figures: 6, Tables: 4, Pages: 14
                Funding
                Funded by: Zhejiang Visiting Scholar Professional Development Project
                Award ID: FX2017138
                Award Recipient :
                Funded by: Zhejiang Wenzhou Science and Technology Project
                Award ID: Z20170006
                Award Recipient :
                This work was supported by the Zhejiang Visiting Scholar Professional Development Project (FX2017138) and the Zhejiang Wenzhou Science and Technology Project (Z20170006) to SZ.
                Categories
                Research Article
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Inbred Strains
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Brassica
                Cauliflower
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Vegetables
                Cauliflower
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Shannon Index
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Shannon Index
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Alleles
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Biology and Life Sciences
                Genetics
                Population Genetics
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Vegetable Crops
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Genetic Polymorphism
                Biology and Life Sciences
                Genetics
                Population Genetics
                Genetic Polymorphism
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Genetic Polymorphism
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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