Genomics and transcriptomics reveal genetic contribution to population diversity and specific traits in coconut
Coconut is an economically important palm species with a long history of human use. It has applications in various food, nutraceuticals, and cosmetic products, and there has been renewed interest in coconut in recent years due to its unique nutritional and medicinal properties. Unfortunately, the su...
| Main Authors: | , , , |
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/108100/ |
| _version_ | 1848865073104158720 |
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| author | Yousefi, Kobra Abdullah, Siti Nor Akmar Md Hatta, Muhammad Asyraf Kong, Lih Ling |
| author_facet | Yousefi, Kobra Abdullah, Siti Nor Akmar Md Hatta, Muhammad Asyraf Kong, Lih Ling |
| author_sort | Yousefi, Kobra |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Coconut is an economically important palm species with a long history of human use. It has applications in various food, nutraceuticals, and cosmetic products, and there has been renewed interest in coconut in recent years due to its unique nutritional and medicinal properties. Unfortunately, the sustainable growth of the coconut industry has been hampered due to a shortage of good quality seedlings. Genetic improvement through the traditional breeding approach faced considerable obstacles due to its perennial nature, protracted juvenile period, and high heterozygosity. Molecular biotechnological tools, including molecular markers and next-generation sequencing (NGS), could expedite genetic improvement efforts in coconut. Researchers have employed various molecular markers to reveal genetic diversity among coconut populations and for the construction of a genetic map for exploitation in coconut breeding programs worldwide. Whole genome sequencing and transcriptomics on the different varieties have generated a massive amount of publicly accessible sequence data, substantially improving the ability to analyze and understand molecular mechanisms affecting crop performance. The production of high-yielding and disease-resilient coconuts and the deciphering of the complex coconut genome’s structure can profit tremendously from these technologies. This paper aims to provide a comprehensive review of the progress of coconut research, using genomics, transcriptomics, and molecular markers initiatives. |
| first_indexed | 2025-11-15T13:58:54Z |
| format | Article |
| id | upm-108100 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:58:54Z |
| publishDate | 2023 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1081002024-09-24T07:46:42Z http://psasir.upm.edu.my/id/eprint/108100/ Genomics and transcriptomics reveal genetic contribution to population diversity and specific traits in coconut Yousefi, Kobra Abdullah, Siti Nor Akmar Md Hatta, Muhammad Asyraf Kong, Lih Ling Coconut is an economically important palm species with a long history of human use. It has applications in various food, nutraceuticals, and cosmetic products, and there has been renewed interest in coconut in recent years due to its unique nutritional and medicinal properties. Unfortunately, the sustainable growth of the coconut industry has been hampered due to a shortage of good quality seedlings. Genetic improvement through the traditional breeding approach faced considerable obstacles due to its perennial nature, protracted juvenile period, and high heterozygosity. Molecular biotechnological tools, including molecular markers and next-generation sequencing (NGS), could expedite genetic improvement efforts in coconut. Researchers have employed various molecular markers to reveal genetic diversity among coconut populations and for the construction of a genetic map for exploitation in coconut breeding programs worldwide. Whole genome sequencing and transcriptomics on the different varieties have generated a massive amount of publicly accessible sequence data, substantially improving the ability to analyze and understand molecular mechanisms affecting crop performance. The production of high-yielding and disease-resilient coconuts and the deciphering of the complex coconut genome’s structure can profit tremendously from these technologies. This paper aims to provide a comprehensive review of the progress of coconut research, using genomics, transcriptomics, and molecular markers initiatives. Multidisciplinary Digital Publishing Institute 2023 Article PeerReviewed Yousefi, Kobra and Abdullah, Siti Nor Akmar and Md Hatta, Muhammad Asyraf and Kong, Lih Ling (2023) Genomics and transcriptomics reveal genetic contribution to population diversity and specific traits in coconut. Plants-Basel, 12 (9). art. no. 1913. pp. 1-22. ISSN 2223-7747 https://www.mdpi.com/2223-7747/12/9/1913 10.3390/plants12091913 |
| spellingShingle | Yousefi, Kobra Abdullah, Siti Nor Akmar Md Hatta, Muhammad Asyraf Kong, Lih Ling Genomics and transcriptomics reveal genetic contribution to population diversity and specific traits in coconut |
| title | Genomics and transcriptomics reveal genetic contribution to population diversity and specific traits in coconut |
| title_full | Genomics and transcriptomics reveal genetic contribution to population diversity and specific traits in coconut |
| title_fullStr | Genomics and transcriptomics reveal genetic contribution to population diversity and specific traits in coconut |
| title_full_unstemmed | Genomics and transcriptomics reveal genetic contribution to population diversity and specific traits in coconut |
| title_short | Genomics and transcriptomics reveal genetic contribution to population diversity and specific traits in coconut |
| title_sort | genomics and transcriptomics reveal genetic contribution to population diversity and specific traits in coconut |
| url | http://psasir.upm.edu.my/id/eprint/108100/ http://psasir.upm.edu.my/id/eprint/108100/ http://psasir.upm.edu.my/id/eprint/108100/ |