Genetic Variability of Local Corn Cultivars from Kisar Island Southwest Maluku Regency using Microsatellite Molecular Marker

<p class="IsiAbstrakIndo"><span lang="EN-GB">This research aim was to reveal the genetic variability of local corn cultivars from Kisar Island using microsatellite molecular marker. The use of microsatellite markers is based on one reasons that the genetic information...

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Main Authors: Hermalina Sinay, Ritha Lusian Karuwal
Format: Article
Language:English
Published: Universitas Negeri Semarang 2017-12-01
Series:Biosaintifika: Journal of Biology & Biology Education
Subjects:
Online Access:https://journal.unnes.ac.id/nju/index.php/biosaintifika/article/view/8512
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spelling doaj-62adc822bee74e3b9d8e2465753ba49c2020-11-24T22:30:08ZengUniversitas Negeri SemarangBiosaintifika: Journal of Biology & Biology Education2085-191X2338-76102017-12-019344445010.15294/biosaintifika.v9i3.85126532Genetic Variability of Local Corn Cultivars from Kisar Island Southwest Maluku Regency using Microsatellite Molecular MarkerHermalina Sinay0Ritha Lusian Karuwal1Biology Education Program, Faculty of Teaching and Education, Universitas PattimuraBiology Education Program, Faculty of Teaching and Education, Universitas Pattimura<p class="IsiAbstrakIndo"><span lang="EN-GB">This research aim was to reveal the genetic variability of local corn cultivars from Kisar Island using microsatellite molecular marker. The use of microsatellite markers is based on one reasons that the genetic information is polymorphic, and will be better to identify genetic diversity of plants including corn. Corn cultivars used were obtained from farmer in Kisar Island, and three reference varieties as outgroup were obtained from Institute of Cereals in Maros South Sulawesi. Polymerase chain reaction was conducted following the protocols from Fast Start kit (Qiagen-USA). The data obtained then analyzed with MVSP 3.1A Software for dendogram construction. The results showed that the appearance of DNA bands was vary (monomorphic and polymorphic) for local cultivars as well as reference varieties, with one or two bands on each primer. Based on the dendogram, there are three main clusters with similarity index ranged from 20% -100%. It can be concluded that there is very low similarity and distant kinship of local cultivars. The novelty of this research is knowing kinship relationship between local corn in Kisar Island which is not known yet. This results is expected to provide benefits regarding the breeding program, and for instance, it can be an important information regarding the development of local corn as a source in assembly the superior corn cultivars. </span></p>https://journal.unnes.ac.id/nju/index.php/biosaintifika/article/view/8512Genetic variabilityMicro-Satellite markersLocal corn cultivars
collection DOAJ
language English
format Article
sources DOAJ
author Hermalina Sinay
Ritha Lusian Karuwal
spellingShingle Hermalina Sinay
Ritha Lusian Karuwal
Genetic Variability of Local Corn Cultivars from Kisar Island Southwest Maluku Regency using Microsatellite Molecular Marker
Biosaintifika: Journal of Biology & Biology Education
Genetic variability
Micro-Satellite markers
Local corn cultivars
author_facet Hermalina Sinay
Ritha Lusian Karuwal
author_sort Hermalina Sinay
title Genetic Variability of Local Corn Cultivars from Kisar Island Southwest Maluku Regency using Microsatellite Molecular Marker
title_short Genetic Variability of Local Corn Cultivars from Kisar Island Southwest Maluku Regency using Microsatellite Molecular Marker
title_full Genetic Variability of Local Corn Cultivars from Kisar Island Southwest Maluku Regency using Microsatellite Molecular Marker
title_fullStr Genetic Variability of Local Corn Cultivars from Kisar Island Southwest Maluku Regency using Microsatellite Molecular Marker
title_full_unstemmed Genetic Variability of Local Corn Cultivars from Kisar Island Southwest Maluku Regency using Microsatellite Molecular Marker
title_sort genetic variability of local corn cultivars from kisar island southwest maluku regency using microsatellite molecular marker
publisher Universitas Negeri Semarang
series Biosaintifika: Journal of Biology & Biology Education
issn 2085-191X
2338-7610
publishDate 2017-12-01
description <p class="IsiAbstrakIndo"><span lang="EN-GB">This research aim was to reveal the genetic variability of local corn cultivars from Kisar Island using microsatellite molecular marker. The use of microsatellite markers is based on one reasons that the genetic information is polymorphic, and will be better to identify genetic diversity of plants including corn. Corn cultivars used were obtained from farmer in Kisar Island, and three reference varieties as outgroup were obtained from Institute of Cereals in Maros South Sulawesi. Polymerase chain reaction was conducted following the protocols from Fast Start kit (Qiagen-USA). The data obtained then analyzed with MVSP 3.1A Software for dendogram construction. The results showed that the appearance of DNA bands was vary (monomorphic and polymorphic) for local cultivars as well as reference varieties, with one or two bands on each primer. Based on the dendogram, there are three main clusters with similarity index ranged from 20% -100%. It can be concluded that there is very low similarity and distant kinship of local cultivars. The novelty of this research is knowing kinship relationship between local corn in Kisar Island which is not known yet. This results is expected to provide benefits regarding the breeding program, and for instance, it can be an important information regarding the development of local corn as a source in assembly the superior corn cultivars. </span></p>
topic Genetic variability
Micro-Satellite markers
Local corn cultivars
url https://journal.unnes.ac.id/nju/index.php/biosaintifika/article/view/8512
work_keys_str_mv AT hermalinasinay geneticvariabilityoflocalcorncultivarsfromkisarislandsouthwestmalukuregencyusingmicrosatellitemolecularmarker
AT rithalusiankaruwal geneticvariabilityoflocalcorncultivarsfromkisarislandsouthwestmalukuregencyusingmicrosatellitemolecularmarker
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