A. A. Gbotto, N. Yao, Mercy Kitavi, Sarah Osama, R. Habimana, K. K. Koffi, I. Zoro Bi
{"title":"利用农业形态和分子标记对产油葫芦(Lagenaria siceraria)种质资源进行遗传分析","authors":"A. A. Gbotto, N. Yao, Mercy Kitavi, Sarah Osama, R. Habimana, K. K. Koffi, I. Zoro Bi","doi":"10.1017/s1479262122000247","DOIUrl":null,"url":null,"abstract":"\n Being difficult to regenerate and maintain the seeds, the oleaginous bottle gourd was investigated using nine agromorphological traits and 31 amplified fragment length polymorphism (AFLP) markers. Specifically, the study was conducted to determine the intra-specific variability of a total of 173 accessions, which were identified from five agro-ecological regions from Côte d'Ivoire (Centre, East, North and South). Then, the genetic diversity and relationships within accessions were studied using AFLP markers. This characterization using both morphological and AFLP markers was realized in order to ultimately build a reliable core collection. The discriminant analysis, using nine quantitative traits, reveals plant length and seeds number per fruit as discriminating characteristics. From the accessions used for the agromorphological study, 148 were able to be differentiated by the AFLP markers. A range of 52 to 113 bands were amplified per primer combination. As revealed by the analysis of molecular variance (AMOVA), 28% of the total variation resides among accessions and 72% occurs within populations. The AMOVA computed in order to differentiate cultivars, displayed the same trends when no prior grouping of accessions was considered. The differentiation within cultivar (97%) was more than that, among cultivars (3%). Tree topologies inferred by neighbour-joining analysis reflected no clear cut off grouping.\n To group accessions, we used a Bayesian clustering analysis which exhibited two clusters. Using the informativeness of the primer combinations analysed in the present study, an orientation was given for the choice of the accessions which would be used to build a core collection.","PeriodicalId":20252,"journal":{"name":"Plant Genetic Resources: Characterization and Utilization","volume":"31 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic characterization of oleaginous bottle gourd (Lagenaria siceraria) germplasm from Côte d'Ivoire using agromorphological and molecular markers\",\"authors\":\"A. A. Gbotto, N. Yao, Mercy Kitavi, Sarah Osama, R. Habimana, K. K. Koffi, I. Zoro Bi\",\"doi\":\"10.1017/s1479262122000247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Being difficult to regenerate and maintain the seeds, the oleaginous bottle gourd was investigated using nine agromorphological traits and 31 amplified fragment length polymorphism (AFLP) markers. Specifically, the study was conducted to determine the intra-specific variability of a total of 173 accessions, which were identified from five agro-ecological regions from Côte d'Ivoire (Centre, East, North and South). Then, the genetic diversity and relationships within accessions were studied using AFLP markers. This characterization using both morphological and AFLP markers was realized in order to ultimately build a reliable core collection. The discriminant analysis, using nine quantitative traits, reveals plant length and seeds number per fruit as discriminating characteristics. From the accessions used for the agromorphological study, 148 were able to be differentiated by the AFLP markers. A range of 52 to 113 bands were amplified per primer combination. As revealed by the analysis of molecular variance (AMOVA), 28% of the total variation resides among accessions and 72% occurs within populations. The AMOVA computed in order to differentiate cultivars, displayed the same trends when no prior grouping of accessions was considered. The differentiation within cultivar (97%) was more than that, among cultivars (3%). Tree topologies inferred by neighbour-joining analysis reflected no clear cut off grouping.\\n To group accessions, we used a Bayesian clustering analysis which exhibited two clusters. 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Genetic characterization of oleaginous bottle gourd (Lagenaria siceraria) germplasm from Côte d'Ivoire using agromorphological and molecular markers
Being difficult to regenerate and maintain the seeds, the oleaginous bottle gourd was investigated using nine agromorphological traits and 31 amplified fragment length polymorphism (AFLP) markers. Specifically, the study was conducted to determine the intra-specific variability of a total of 173 accessions, which were identified from five agro-ecological regions from Côte d'Ivoire (Centre, East, North and South). Then, the genetic diversity and relationships within accessions were studied using AFLP markers. This characterization using both morphological and AFLP markers was realized in order to ultimately build a reliable core collection. The discriminant analysis, using nine quantitative traits, reveals plant length and seeds number per fruit as discriminating characteristics. From the accessions used for the agromorphological study, 148 were able to be differentiated by the AFLP markers. A range of 52 to 113 bands were amplified per primer combination. As revealed by the analysis of molecular variance (AMOVA), 28% of the total variation resides among accessions and 72% occurs within populations. The AMOVA computed in order to differentiate cultivars, displayed the same trends when no prior grouping of accessions was considered. The differentiation within cultivar (97%) was more than that, among cultivars (3%). Tree topologies inferred by neighbour-joining analysis reflected no clear cut off grouping.
To group accessions, we used a Bayesian clustering analysis which exhibited two clusters. Using the informativeness of the primer combinations analysed in the present study, an orientation was given for the choice of the accessions which would be used to build a core collection.
期刊介绍:
Plant Genetic Resources is an international journal which provides a forum for describing the application of novel genomic technologies, as well as their integration with established techniques, towards the understanding of the genetic variation captured in both in situ and ex situ collections of crop and non-crop plants; and for the airing of wider issues relevant to plant germplasm conservation and utilisation. We particularly welcome multi-disciplinary approaches that incorporate both a technical and a socio-economic focus. Technical aspects can cover developments in technologies of potential or demonstrated relevance to the analysis of variation and diversity at the phenotypic and genotypic levels.