Dna Barcoding Of The Family Scombridae In Malaysia And Phylogeography And Population Structure Of The Indian Mackerel, Rastrelliger Kanagurta For Sustainable Fisheries

This research was conducted to develop a molecular systematic identification of the commercially important family Scombridae as well as to understand the phylogeography and phylogenetics of a member species, the Indian mackerel, Rastrelliger kanagurta for sustainable fisheries in Malaysian waters. D...

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Main Author: Akib, Noor Adelyna Mohammed
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.usm.my/46183/
http://eprints.usm.my/46183/1/Noor%20Adelyna%20Mohammed%20Akib24.pdf
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author Akib, Noor Adelyna Mohammed
author_facet Akib, Noor Adelyna Mohammed
author_sort Akib, Noor Adelyna Mohammed
building USM Institutional Repository
collection Online Access
description This research was conducted to develop a molecular systematic identification of the commercially important family Scombridae as well as to understand the phylogeography and phylogenetics of a member species, the Indian mackerel, Rastrelliger kanagurta for sustainable fisheries in Malaysian waters. DNA barcoding based on the mitochondrial cytochrome oxidase subunit I gene, widely known as the barcoding gene successfully identified and delineated 14 species of the family Scombridae sampled in Malaysian waters. The phylogeography and population structure of the pelagic Indian mackerel, R. kanagurta was also investigated among 19 Malaysian populations and one population each from Thailand, Vietnam, Indonesia (Southeast Asian region) and an Iranian population (West Indian Ocean-WIO) using mitochondrial cytochrome b gene analysis. A parallel investigation was conducted on 11 Malaysian populations and an Iranian population based on eight newly developed microsatellite markers. In this study, the next generation sequencing platform, Ion Torrent PGMTM was used to generate a partial genome survey sequence (GSS) dataset to develop microsatellite markers from R. kanagurta genomic DNA. The data generated included a total of 399,794 sequence reads (81.29 Mbp) of which 16,209 sequence reads were successfully assembled, producing 327 contigs averaging 677 bp in length in addition to the single sequence repeats (SSR) markers.
first_indexed 2025-11-15T18:04:42Z
format Thesis
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institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T18:04:42Z
publishDate 2013
recordtype eprints
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spelling usm-461832020-02-12T03:14:12Z http://eprints.usm.my/46183/ Dna Barcoding Of The Family Scombridae In Malaysia And Phylogeography And Population Structure Of The Indian Mackerel, Rastrelliger Kanagurta For Sustainable Fisheries Akib, Noor Adelyna Mohammed QH1 Natural history (General - Including nature conservation, geographical distribution) This research was conducted to develop a molecular systematic identification of the commercially important family Scombridae as well as to understand the phylogeography and phylogenetics of a member species, the Indian mackerel, Rastrelliger kanagurta for sustainable fisheries in Malaysian waters. DNA barcoding based on the mitochondrial cytochrome oxidase subunit I gene, widely known as the barcoding gene successfully identified and delineated 14 species of the family Scombridae sampled in Malaysian waters. The phylogeography and population structure of the pelagic Indian mackerel, R. kanagurta was also investigated among 19 Malaysian populations and one population each from Thailand, Vietnam, Indonesia (Southeast Asian region) and an Iranian population (West Indian Ocean-WIO) using mitochondrial cytochrome b gene analysis. A parallel investigation was conducted on 11 Malaysian populations and an Iranian population based on eight newly developed microsatellite markers. In this study, the next generation sequencing platform, Ion Torrent PGMTM was used to generate a partial genome survey sequence (GSS) dataset to develop microsatellite markers from R. kanagurta genomic DNA. The data generated included a total of 399,794 sequence reads (81.29 Mbp) of which 16,209 sequence reads were successfully assembled, producing 327 contigs averaging 677 bp in length in addition to the single sequence repeats (SSR) markers. 2013-11 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/46183/1/Noor%20Adelyna%20Mohammed%20Akib24.pdf Akib, Noor Adelyna Mohammed (2013) Dna Barcoding Of The Family Scombridae In Malaysia And Phylogeography And Population Structure Of The Indian Mackerel, Rastrelliger Kanagurta For Sustainable Fisheries. PhD thesis, Universiti Sains Malaysia.
spellingShingle QH1 Natural history (General - Including nature conservation, geographical distribution)
Akib, Noor Adelyna Mohammed
Dna Barcoding Of The Family Scombridae In Malaysia And Phylogeography And Population Structure Of The Indian Mackerel, Rastrelliger Kanagurta For Sustainable Fisheries
title Dna Barcoding Of The Family Scombridae In Malaysia And Phylogeography And Population Structure Of The Indian Mackerel, Rastrelliger Kanagurta For Sustainable Fisheries
title_full Dna Barcoding Of The Family Scombridae In Malaysia And Phylogeography And Population Structure Of The Indian Mackerel, Rastrelliger Kanagurta For Sustainable Fisheries
title_fullStr Dna Barcoding Of The Family Scombridae In Malaysia And Phylogeography And Population Structure Of The Indian Mackerel, Rastrelliger Kanagurta For Sustainable Fisheries
title_full_unstemmed Dna Barcoding Of The Family Scombridae In Malaysia And Phylogeography And Population Structure Of The Indian Mackerel, Rastrelliger Kanagurta For Sustainable Fisheries
title_short Dna Barcoding Of The Family Scombridae In Malaysia And Phylogeography And Population Structure Of The Indian Mackerel, Rastrelliger Kanagurta For Sustainable Fisheries
title_sort dna barcoding of the family scombridae in malaysia and phylogeography and population structure of the indian mackerel, rastrelliger kanagurta for sustainable fisheries
topic QH1 Natural history (General - Including nature conservation, geographical distribution)
url http://eprints.usm.my/46183/
http://eprints.usm.my/46183/1/Noor%20Adelyna%20Mohammed%20Akib24.pdf