Revealing disease‐specific endogenous target mimic of microRNA from long non‐coding RNA identification and characterization in Musa spp.

Banana (Musa spp.) is one of the most widely consumed fruits in the world. Unfortunately, the plants are at risk from many disease problems, which mainly derive from microorganism. It is a little known about the relationship between disease‐inducing microorganisms and plants, particularly at the mol...

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Main Authors: Audie Masola Putra, Husna Nugrahapraja, Fenny Martha Dwivany
Format: Article
Language:English
Published: Universitas Gadjah Mada, Yogyakarta 2023-03-01
Series:Indonesian Journal of Biotechnology
Subjects:
Online Access:https://jurnal.ugm.ac.id/ijbiotech/article/view/49368
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author Audie Masola Putra
Husna Nugrahapraja
Fenny Martha Dwivany
author_facet Audie Masola Putra
Husna Nugrahapraja
Fenny Martha Dwivany
author_sort Audie Masola Putra
collection DOAJ
description Banana (Musa spp.) is one of the most widely consumed fruits in the world. Unfortunately, the plants are at risk from many disease problems, which mainly derive from microorganism. It is a little known about the relationship between disease‐inducing microorganisms and plants, particularly at the molecular level. This research aimed to characterize long non‐coding RNA (lncRNA) from bananas that may have roles in regulating gene expression related to the disease response mechanism in banana derived from transcriptomic libraries. Furthermore, the detected transcripts were analyzed to identify the endogenous target mimics (eTMs) interaction between lncRNA and microRNA (miRNA) using computational approaches. Data from Cavendish banana (AAA group), Berangan (AAA group), Yunnan Banana (Itinerans), Dajiao (ABB group), and Klutuk (BB group) were used in this research. We found that lncRNA tends to be unsustainable, and most sizes are below 1000 bp (≥ 75%). Based on this result, we investigated the eTMs to determine lncRNA transcripts and miRNA, such as miR397 in Cavendish and miR444 in Klutuk. This transcript would be regulated following exposure to extreme temperatures and disease, indicating the possibility of disease‐specific interaction between bananas and their environment at the molecular level.
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spelling doaj.art-c1f97643aeb541f78f8d71ef900e2c292023-04-05T04:41:11ZengUniversitas Gadjah Mada, YogyakartaIndonesian Journal of Biotechnology0853-86542089-22412023-03-01281566510.22146/ijbiotech.4936833501Revealing disease‐specific endogenous target mimic of microRNA from long non‐coding RNA identification and characterization in Musa spp.Audie Masola Putra0Husna Nugrahapraja1Fenny Martha Dwivany2School of Life Sciences and Technology, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung, West Java 40132, IndonesiaSchool of Life Sciences and Technology, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung, West Java 40132, Indonesia; Bioscience and Biotechnology Research Center, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung, West Java 40132, IndonesiaSchool of Life Sciences and Technology, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung, West Java 40132, Indonesia; Bali International Research Center for Banana, Badung, Bali, 80361, Indonesia; Bioscience and Biotechnology Research Center, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung, West Java 40132, IndonesiaBanana (Musa spp.) is one of the most widely consumed fruits in the world. Unfortunately, the plants are at risk from many disease problems, which mainly derive from microorganism. It is a little known about the relationship between disease‐inducing microorganisms and plants, particularly at the molecular level. This research aimed to characterize long non‐coding RNA (lncRNA) from bananas that may have roles in regulating gene expression related to the disease response mechanism in banana derived from transcriptomic libraries. Furthermore, the detected transcripts were analyzed to identify the endogenous target mimics (eTMs) interaction between lncRNA and microRNA (miRNA) using computational approaches. Data from Cavendish banana (AAA group), Berangan (AAA group), Yunnan Banana (Itinerans), Dajiao (ABB group), and Klutuk (BB group) were used in this research. We found that lncRNA tends to be unsustainable, and most sizes are below 1000 bp (≥ 75%). Based on this result, we investigated the eTMs to determine lncRNA transcripts and miRNA, such as miR397 in Cavendish and miR444 in Klutuk. This transcript would be regulated following exposure to extreme temperatures and disease, indicating the possibility of disease‐specific interaction between bananas and their environment at the molecular level.https://jurnal.ugm.ac.id/ijbiotech/article/view/49368bananacharacterizationendogenous target mimics (etms)long non‐coding rnatranscriptomic
spellingShingle Audie Masola Putra
Husna Nugrahapraja
Fenny Martha Dwivany
Revealing disease‐specific endogenous target mimic of microRNA from long non‐coding RNA identification and characterization in Musa spp.
Indonesian Journal of Biotechnology
banana
characterization
endogenous target mimics (etms)
long non‐coding rna
transcriptomic
title Revealing disease‐specific endogenous target mimic of microRNA from long non‐coding RNA identification and characterization in Musa spp.
title_full Revealing disease‐specific endogenous target mimic of microRNA from long non‐coding RNA identification and characterization in Musa spp.
title_fullStr Revealing disease‐specific endogenous target mimic of microRNA from long non‐coding RNA identification and characterization in Musa spp.
title_full_unstemmed Revealing disease‐specific endogenous target mimic of microRNA from long non‐coding RNA identification and characterization in Musa spp.
title_short Revealing disease‐specific endogenous target mimic of microRNA from long non‐coding RNA identification and characterization in Musa spp.
title_sort revealing disease specific endogenous target mimic of microrna from long non coding rna identification and characterization in musa spp
topic banana
characterization
endogenous target mimics (etms)
long non‐coding rna
transcriptomic
url https://jurnal.ugm.ac.id/ijbiotech/article/view/49368
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AT husnanugrahapraja revealingdiseasespecificendogenoustargetmimicofmicrornafromlongnoncodingrnaidentificationandcharacterizationinmusaspp
AT fennymarthadwivany revealingdiseasespecificendogenoustargetmimicofmicrornafromlongnoncodingrnaidentificationandcharacterizationinmusaspp