In silico genome-wide computational profiling of non-coding RNA in oil palm Elaeis guineensis and its pathogen Ganoderma boninense

Oil palm plantation was first established in Malaysia in 1917. Since then, the oil palm industry in Malaysia flourished especially following the shifting of Deli Dura palm to Tenera palm in the 1960s, which contributed to a 30% increase in yield. However, the outbreak of basal stem rot disease cause...

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Main Authors: Farah Nini Othman, Norsyahima Azizi, Nurul Asyikin Mohd-Zim, Lee, Yang Ping, Suhaila Sulaiman
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:http://journalarticle.ukm.my/21720/1/ML%2027.pdf
http://journalarticle.ukm.my/21720/
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Institution: Universiti Kebangsaan Malaysia
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spelling my-ukm.journal.217202023-06-09T02:34:17Z http://journalarticle.ukm.my/21720/ In silico genome-wide computational profiling of non-coding RNA in oil palm Elaeis guineensis and its pathogen Ganoderma boninense Farah Nini Othman, Norsyahima Azizi, Nurul Asyikin Mohd-Zim, Lee, Yang Ping Suhaila Sulaiman, Oil palm plantation was first established in Malaysia in 1917. Since then, the oil palm industry in Malaysia flourished especially following the shifting of Deli Dura palm to Tenera palm in the 1960s, which contributed to a 30% increase in yield. However, the outbreak of basal stem rot disease caused by Ganoderma boninense has caused substantial yield losses. With no known cure to date, extensive molecular studies were conducted to better understand the underlying mechanism of G. boninense infection and the role of protein-coding genes as regulators in oil palms against G. boninense. The studies have demonstrated the importance of non-coding RNAs (ncRNAs) in the interaction between oil palm and G. boninense. However, there is still limited genome-scale identification for ncRNAs in oil palm (Elaeis guineensis jacq.) and its pathogen, G. boninense. In this study, we focused on the identification of small and medium-sized non-coding RNA using a computational approach and managed to predict 2,233 ncRNAs and 369 ncRNAs in the E. guineensis and G. boninense genomes, respectively. The identified ncRNAs include transfer RNA (tRNA), ribosomal RNA (rRNA), small nuclear RNA (snRNA), small nucleolar RNA (snoRNA), and microRNA (miRNA). Although the number may be far fewer than the real number, the predicted ncRNAs here represent an almost complete dataset of small and medium-sized ncRNA in both the E. guineensis and G. boninense genomes. The information obtained may be useful to tackle the issue of G. boninense attack on oil palm plantations. Penerbit Universiti Kebangsaan Malaysia 2022 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/21720/1/ML%2027.pdf Farah Nini Othman, and Norsyahima Azizi, and Nurul Asyikin Mohd-Zim, and Lee, Yang Ping and Suhaila Sulaiman, (2022) In silico genome-wide computational profiling of non-coding RNA in oil palm Elaeis guineensis and its pathogen Ganoderma boninense. Malaysian Applied Biology, 51 (5). pp. 271-280. ISSN 0126-8643 https://jms.mabjournal.com/index.php/mab/index
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Oil palm plantation was first established in Malaysia in 1917. Since then, the oil palm industry in Malaysia flourished especially following the shifting of Deli Dura palm to Tenera palm in the 1960s, which contributed to a 30% increase in yield. However, the outbreak of basal stem rot disease caused by Ganoderma boninense has caused substantial yield losses. With no known cure to date, extensive molecular studies were conducted to better understand the underlying mechanism of G. boninense infection and the role of protein-coding genes as regulators in oil palms against G. boninense. The studies have demonstrated the importance of non-coding RNAs (ncRNAs) in the interaction between oil palm and G. boninense. However, there is still limited genome-scale identification for ncRNAs in oil palm (Elaeis guineensis jacq.) and its pathogen, G. boninense. In this study, we focused on the identification of small and medium-sized non-coding RNA using a computational approach and managed to predict 2,233 ncRNAs and 369 ncRNAs in the E. guineensis and G. boninense genomes, respectively. The identified ncRNAs include transfer RNA (tRNA), ribosomal RNA (rRNA), small nuclear RNA (snRNA), small nucleolar RNA (snoRNA), and microRNA (miRNA). Although the number may be far fewer than the real number, the predicted ncRNAs here represent an almost complete dataset of small and medium-sized ncRNA in both the E. guineensis and G. boninense genomes. The information obtained may be useful to tackle the issue of G. boninense attack on oil palm plantations.
format Article
author Farah Nini Othman,
Norsyahima Azizi,
Nurul Asyikin Mohd-Zim,
Lee, Yang Ping
Suhaila Sulaiman,
spellingShingle Farah Nini Othman,
Norsyahima Azizi,
Nurul Asyikin Mohd-Zim,
Lee, Yang Ping
Suhaila Sulaiman,
In silico genome-wide computational profiling of non-coding RNA in oil palm Elaeis guineensis and its pathogen Ganoderma boninense
author_facet Farah Nini Othman,
Norsyahima Azizi,
Nurul Asyikin Mohd-Zim,
Lee, Yang Ping
Suhaila Sulaiman,
author_sort Farah Nini Othman,
title In silico genome-wide computational profiling of non-coding RNA in oil palm Elaeis guineensis and its pathogen Ganoderma boninense
title_short In silico genome-wide computational profiling of non-coding RNA in oil palm Elaeis guineensis and its pathogen Ganoderma boninense
title_full In silico genome-wide computational profiling of non-coding RNA in oil palm Elaeis guineensis and its pathogen Ganoderma boninense
title_fullStr In silico genome-wide computational profiling of non-coding RNA in oil palm Elaeis guineensis and its pathogen Ganoderma boninense
title_full_unstemmed In silico genome-wide computational profiling of non-coding RNA in oil palm Elaeis guineensis and its pathogen Ganoderma boninense
title_sort in silico genome-wide computational profiling of non-coding rna in oil palm elaeis guineensis and its pathogen ganoderma boninense
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2022
url http://journalarticle.ukm.my/21720/1/ML%2027.pdf
http://journalarticle.ukm.my/21720/
https://jms.mabjournal.com/index.php/mab/index
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