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Development of microsatellite markers for the coastal shrub Scaevola taccada (Goodeniaceae)(1)
• Premise of the study: Microsatellite markers were developed for the coastal shrub species Scaevola taccada to estimate the population genetic structure, which may reflect different seed dispersal patterns. • Methods and Results: Thirteen microsatellite primer sets were developed for S. taccada usi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Botanical Society of America
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103108/ https://www.ncbi.nlm.nih.gov/pubmed/25202622 http://dx.doi.org/10.3732/apps.1300094 |
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author | Ando, Haruko Emura, Naoko Denda, Tetsuro Nakahama, Naoyuki Inoue-Murayama, Miho Isagi, Yuji |
author_facet | Ando, Haruko Emura, Naoko Denda, Tetsuro Nakahama, Naoyuki Inoue-Murayama, Miho Isagi, Yuji |
author_sort | Ando, Haruko |
collection | PubMed |
description | • Premise of the study: Microsatellite markers were developed for the coastal shrub species Scaevola taccada to estimate the population genetic structure, which may reflect different seed dispersal patterns. • Methods and Results: Thirteen microsatellite primer sets were developed for S. taccada using 454 pyrosequencing. The primer sets were tested on 64 individuals sampled from two populations in Japan. Fragments were amplified using the primers, with one to 10 alleles per locus, and the expected heterozygosity ranged from 0.00 to 0.85. • Conclusions: These results indicate the utility of markers in S. taccada for broad estimations of the population genetic structure of this species. |
format | Online Article Text |
id | pubmed-4103108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Botanical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-41031082014-09-08 Development of microsatellite markers for the coastal shrub Scaevola taccada (Goodeniaceae)(1) Ando, Haruko Emura, Naoko Denda, Tetsuro Nakahama, Naoyuki Inoue-Murayama, Miho Isagi, Yuji Appl Plant Sci Primer Note • Premise of the study: Microsatellite markers were developed for the coastal shrub species Scaevola taccada to estimate the population genetic structure, which may reflect different seed dispersal patterns. • Methods and Results: Thirteen microsatellite primer sets were developed for S. taccada using 454 pyrosequencing. The primer sets were tested on 64 individuals sampled from two populations in Japan. Fragments were amplified using the primers, with one to 10 alleles per locus, and the expected heterozygosity ranged from 0.00 to 0.85. • Conclusions: These results indicate the utility of markers in S. taccada for broad estimations of the population genetic structure of this species. Botanical Society of America 2014-04-18 /pmc/articles/PMC4103108/ /pubmed/25202622 http://dx.doi.org/10.3732/apps.1300094 Text en © 2014 Ando et al. Published by the Botanical Society of America http://creativecommons.org/licenses/by-nc/4.0/ This work is licensed under a Creative Commons Attribution License (CC-BY-NC-SA). |
spellingShingle | Primer Note Ando, Haruko Emura, Naoko Denda, Tetsuro Nakahama, Naoyuki Inoue-Murayama, Miho Isagi, Yuji Development of microsatellite markers for the coastal shrub Scaevola taccada (Goodeniaceae)(1) |
title | Development of microsatellite markers for the coastal shrub Scaevola taccada (Goodeniaceae)(1) |
title_full | Development of microsatellite markers for the coastal shrub Scaevola taccada (Goodeniaceae)(1) |
title_fullStr | Development of microsatellite markers for the coastal shrub Scaevola taccada (Goodeniaceae)(1) |
title_full_unstemmed | Development of microsatellite markers for the coastal shrub Scaevola taccada (Goodeniaceae)(1) |
title_short | Development of microsatellite markers for the coastal shrub Scaevola taccada (Goodeniaceae)(1) |
title_sort | development of microsatellite markers for the coastal shrub scaevola taccada (goodeniaceae)(1) |
topic | Primer Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103108/ https://www.ncbi.nlm.nih.gov/pubmed/25202622 http://dx.doi.org/10.3732/apps.1300094 |
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