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OMICS and Other Advanced Technologies in Mycological Applications

Fungi play many roles in different ecosystems. The precise identification of fungi is important in different aspects. Historically, they were identified based on morphological characteristics, but technological advancements such as polymerase chain reaction (PCR) and DNA sequencing now enable more a...

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Autores principales: Wijayawardene, Nalin N., Boonyuen, Nattawut, Ranaweera, Chathuranga B., de Zoysa, Heethaka K. S., Padmathilake, Rasanie E., Nifla, Faarah, Dai, Dong-Qin, Liu, Yanxia, Suwannarach, Nakarin, Kumla, Jaturong, Bamunuarachchige, Thushara C., Chen, Huan-Huan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302638/
https://www.ncbi.nlm.nih.gov/pubmed/37367624
http://dx.doi.org/10.3390/jof9060688
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author Wijayawardene, Nalin N.
Boonyuen, Nattawut
Ranaweera, Chathuranga B.
de Zoysa, Heethaka K. S.
Padmathilake, Rasanie E.
Nifla, Faarah
Dai, Dong-Qin
Liu, Yanxia
Suwannarach, Nakarin
Kumla, Jaturong
Bamunuarachchige, Thushara C.
Chen, Huan-Huan
author_facet Wijayawardene, Nalin N.
Boonyuen, Nattawut
Ranaweera, Chathuranga B.
de Zoysa, Heethaka K. S.
Padmathilake, Rasanie E.
Nifla, Faarah
Dai, Dong-Qin
Liu, Yanxia
Suwannarach, Nakarin
Kumla, Jaturong
Bamunuarachchige, Thushara C.
Chen, Huan-Huan
author_sort Wijayawardene, Nalin N.
collection PubMed
description Fungi play many roles in different ecosystems. The precise identification of fungi is important in different aspects. Historically, they were identified based on morphological characteristics, but technological advancements such as polymerase chain reaction (PCR) and DNA sequencing now enable more accurate identification and taxonomy, and higher-level classifications. However, some species, referred to as “dark taxa”, lack distinct physical features that makes their identification challenging. High-throughput sequencing and metagenomics of environmental samples provide a solution to identifying new lineages of fungi. This paper discusses different approaches to taxonomy, including PCR amplification and sequencing of rDNA, multi-loci phylogenetic analyses, and the importance of various omics (large-scale molecular) techniques for understanding fungal applications. The use of proteomics, transcriptomics, metatranscriptomics, metabolomics, and interactomics provides a comprehensive understanding of fungi. These advanced technologies are critical for expanding the knowledge of the Kingdom of Fungi, including its impact on food safety and security, edible mushrooms foodomics, fungal secondary metabolites, mycotoxin-producing fungi, and biomedical and therapeutic applications, including antifungal drugs and drug resistance, and fungal omics data for novel drug development. The paper also highlights the importance of exploring fungi from extreme environments and understudied areas to identify novel lineages in the fungal dark taxa.
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spelling pubmed-103026382023-06-29 OMICS and Other Advanced Technologies in Mycological Applications Wijayawardene, Nalin N. Boonyuen, Nattawut Ranaweera, Chathuranga B. de Zoysa, Heethaka K. S. Padmathilake, Rasanie E. Nifla, Faarah Dai, Dong-Qin Liu, Yanxia Suwannarach, Nakarin Kumla, Jaturong Bamunuarachchige, Thushara C. Chen, Huan-Huan J Fungi (Basel) Review Fungi play many roles in different ecosystems. The precise identification of fungi is important in different aspects. Historically, they were identified based on morphological characteristics, but technological advancements such as polymerase chain reaction (PCR) and DNA sequencing now enable more accurate identification and taxonomy, and higher-level classifications. However, some species, referred to as “dark taxa”, lack distinct physical features that makes their identification challenging. High-throughput sequencing and metagenomics of environmental samples provide a solution to identifying new lineages of fungi. This paper discusses different approaches to taxonomy, including PCR amplification and sequencing of rDNA, multi-loci phylogenetic analyses, and the importance of various omics (large-scale molecular) techniques for understanding fungal applications. The use of proteomics, transcriptomics, metatranscriptomics, metabolomics, and interactomics provides a comprehensive understanding of fungi. These advanced technologies are critical for expanding the knowledge of the Kingdom of Fungi, including its impact on food safety and security, edible mushrooms foodomics, fungal secondary metabolites, mycotoxin-producing fungi, and biomedical and therapeutic applications, including antifungal drugs and drug resistance, and fungal omics data for novel drug development. The paper also highlights the importance of exploring fungi from extreme environments and understudied areas to identify novel lineages in the fungal dark taxa. MDPI 2023-06-19 /pmc/articles/PMC10302638/ /pubmed/37367624 http://dx.doi.org/10.3390/jof9060688 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Wijayawardene, Nalin N.
Boonyuen, Nattawut
Ranaweera, Chathuranga B.
de Zoysa, Heethaka K. S.
Padmathilake, Rasanie E.
Nifla, Faarah
Dai, Dong-Qin
Liu, Yanxia
Suwannarach, Nakarin
Kumla, Jaturong
Bamunuarachchige, Thushara C.
Chen, Huan-Huan
OMICS and Other Advanced Technologies in Mycological Applications
title OMICS and Other Advanced Technologies in Mycological Applications
title_full OMICS and Other Advanced Technologies in Mycological Applications
title_fullStr OMICS and Other Advanced Technologies in Mycological Applications
title_full_unstemmed OMICS and Other Advanced Technologies in Mycological Applications
title_short OMICS and Other Advanced Technologies in Mycological Applications
title_sort omics and other advanced technologies in mycological applications
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302638/
https://www.ncbi.nlm.nih.gov/pubmed/37367624
http://dx.doi.org/10.3390/jof9060688
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