Microsatellite Analysis of Genetic Diversity and Relationships in 1027 Sugarcane Accessions
Genetic diversity is the foundation for genetic improvement in any plant breeding programme. Understanding genetic diversity and relationships in germplasm collections is critically important for improving desired traits. However, in sugarcane breeding, breeders often select parental accessions base...
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| Veröffentlicht in: | Sugar tech : an international journal of sugar crops & related industries 2023-10, Vol.25 (5), p.1082-1091 |
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| container_title | Sugar tech : an international journal of sugar crops & related industries |
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| creator | Yeo, Shadame Lee, May Wang, L. Endah, S. Alhuda, N. A. Yue, G. H. |
| description | Genetic diversity is the foundation for genetic improvement in any plant breeding programme. Understanding genetic diversity and relationships in germplasm collections is critically important for improving desired traits. However, in sugarcane breeding, breeders often select parental accessions based mainly on phenotypes without knowledge of their genetic relationships. In this study, 12 polymorphic microsatellites were selected and used to analyse the genetic relationships between 1027 sugarcane accessions collected in Indonesia using an automated DNA sequencer ABI3730xl. A total of 171 alleles were detected at 12 microsatellite loci. The genetic similarities between accessions ranged from 0.55 to 0.99. The principal coordinate analysis showed that some accessions were closely related while others were genetically quite different. These data suggest that there are substantial genetic variations in the 1027 accessions. A matrix of genetic similarities was obtained for all 1027 sugarcane accessions. A phylogenetic tree based on the genetic similarities was constructed for the 1027 accessions. Taken together, these data obtained in the present study, especially the matrix of genetic similarities and the phylogenetic tree, can be used to guide the setup of breeding programmes to accelerate genetic improvement. |
| doi_str_mv | 10.1007/s12355-023-01278-9 |
| format | Article |
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These data suggest that there are substantial genetic variations in the 1027 accessions. A matrix of genetic similarities was obtained for all 1027 sugarcane accessions. A phylogenetic tree based on the genetic similarities was constructed for the 1027 accessions. Taken together, these data obtained in the present study, especially the matrix of genetic similarities and the phylogenetic tree, can be used to guide the setup of breeding programmes to accelerate genetic improvement.</description><identifier>ISSN: 0972-1525</identifier><identifier>EISSN: 0974-0740</identifier><identifier>EISSN: 0972-1525</identifier><identifier>DOI: 10.1007/s12355-023-01278-9</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Agriculture ; Analysis ; automation ; Biological diversity ; Biomedical and Life Sciences ; Deoxyribonucleic acid ; DNA ; DNA sequencing ; Genetic analysis ; Genetic aspects ; Genetic diversity ; Genetic improvement ; Genetic relationship ; Genetic research ; genetic variation ; Germplasm ; Indonesia ; Life Sciences ; microsatellite repeats ; Microsatellites ; multidimensional scaling ; Nucleotide sequence ; Nucleotide sequencing ; Phenotypes ; Phylogenetics ; Phylogeny ; Plant breeding ; Research Article ; Similarity ; Sugarcane ; sugars</subject><ispartof>Sugar tech : an international journal of sugar crops & related industries, 2023-10, Vol.25 (5), p.1082-1091</ispartof><rights>The Author(s), under exclusive licence to Society for Sugar Research & Promotion 2023. 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The genetic similarities between accessions ranged from 0.55 to 0.99. The principal coordinate analysis showed that some accessions were closely related while others were genetically quite different. These data suggest that there are substantial genetic variations in the 1027 accessions. A matrix of genetic similarities was obtained for all 1027 sugarcane accessions. A phylogenetic tree based on the genetic similarities was constructed for the 1027 accessions. Taken together, these data obtained in the present study, especially the matrix of genetic similarities and the phylogenetic tree, can be used to guide the setup of breeding programmes to accelerate genetic improvement.</description><subject>Agriculture</subject><subject>Analysis</subject><subject>automation</subject><subject>Biological diversity</subject><subject>Biomedical and Life Sciences</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA sequencing</subject><subject>Genetic analysis</subject><subject>Genetic aspects</subject><subject>Genetic diversity</subject><subject>Genetic improvement</subject><subject>Genetic relationship</subject><subject>Genetic research</subject><subject>genetic variation</subject><subject>Germplasm</subject><subject>Indonesia</subject><subject>Life Sciences</subject><subject>microsatellite repeats</subject><subject>Microsatellites</subject><subject>multidimensional scaling</subject><subject>Nucleotide sequence</subject><subject>Nucleotide sequencing</subject><subject>Phenotypes</subject><subject>Phylogenetics</subject><subject>Phylogeny</subject><subject>Plant breeding</subject><subject>Research Article</subject><subject>Similarity</subject><subject>Sugarcane</subject><subject>sugars</subject><issn>0972-1525</issn><issn>0974-0740</issn><issn>0972-1525</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kUFP3DAQhaOKSgXaP9CTJS69BMbjZCc-roACEgip0FMPluN1tkZZZ-vJIu2_r8NWIBCqfLBlfe_pzbyi-CrhWALQCUtUdV0CqhIkUlPqD8U-aKpKoAr2nt5YyhrrT8UB8wPADEnr_eLXTXBpYDv6vg-jF_No-y0HFkMnLnz0Y3DiLDz6xGHcChsX4ofv7RiGyL_DmkWIQgKSuNssbXI2ZgfnPPMEfC4-drZn_-XffVj8_H5-f3pZXt9eXJ3Or0tXST2W3rWNbR3CTEtPLehF2-iuspZQSpKIurYtVIhQNQhaVQSWGpg5CQ4aV6vD4tvOd52GPxvPo1kFdnmgHGfYsFGyVgigFGX06A36MGxSnpkNNjVVSJR3-Ewtbe9NiN0wJusmUzOnWQ6kSE_U8TtUPgu_Cm6Ivgv5_5UAd4Jp45x8Z9YprGzaGglmqtHsajQ5gnmq0egsUjsRZzgufXpJ_B_VX0EPnHQ</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Yeo, Shadame</creator><creator>Lee, May</creator><creator>Wang, L.</creator><creator>Endah, S.</creator><creator>Alhuda, N. 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A.</creatorcontrib><creatorcontrib>Yue, G. H.</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Sugar tech : an international journal of sugar crops & related industries</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yeo, Shadame</au><au>Lee, May</au><au>Wang, L.</au><au>Endah, S.</au><au>Alhuda, N. A.</au><au>Yue, G. 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| subjects | Agriculture Analysis automation Biological diversity Biomedical and Life Sciences Deoxyribonucleic acid DNA DNA sequencing Genetic analysis Genetic aspects Genetic diversity Genetic improvement Genetic relationship Genetic research genetic variation Germplasm Indonesia Life Sciences microsatellite repeats Microsatellites multidimensional scaling Nucleotide sequence Nucleotide sequencing Phenotypes Phylogenetics Phylogeny Plant breeding Research Article Similarity Sugarcane sugars |
| title | Microsatellite Analysis of Genetic Diversity and Relationships in 1027 Sugarcane Accessions |
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