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Porcine fungal mock community analyses: Implications for mycobiome investigations

INTRODUCTION: The gut microbiome is an integral partner in host health and plays a role in immune development, altered nutrition, and pathogen prevention. The mycobiome (fungal microbiome) is considered part of the rare biosphere but is still a critical component in health. Next generation sequencin...

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Autores principales: Arfken, Ann M., Frey, Juli Foster, Carrillo, Nora Isabel, Dike, Nneka Ijeoma, Onyeachonamm, Ogechukwu, Rivera, Daniela Nieves, Davies, Cary Pirone, Summers, Katie Lynn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945231/
https://www.ncbi.nlm.nih.gov/pubmed/36844394
http://dx.doi.org/10.3389/fcimb.2023.928353
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author Arfken, Ann M.
Frey, Juli Foster
Carrillo, Nora Isabel
Dike, Nneka Ijeoma
Onyeachonamm, Ogechukwu
Rivera, Daniela Nieves
Davies, Cary Pirone
Summers, Katie Lynn
author_facet Arfken, Ann M.
Frey, Juli Foster
Carrillo, Nora Isabel
Dike, Nneka Ijeoma
Onyeachonamm, Ogechukwu
Rivera, Daniela Nieves
Davies, Cary Pirone
Summers, Katie Lynn
author_sort Arfken, Ann M.
collection PubMed
description INTRODUCTION: The gut microbiome is an integral partner in host health and plays a role in immune development, altered nutrition, and pathogen prevention. The mycobiome (fungal microbiome) is considered part of the rare biosphere but is still a critical component in health. Next generation sequencing has improved our understanding of fungi in the gut, but methodological challenges remain. Biases are introduced during DNA isolation, primer design and choice, polymerase selection, sequencing platform selection, and data analyses, as fungal reference databases are often incomplete or contain erroneous sequences. METHODS: Here, we compared the accuracy of taxonomic identifications and abundances from mycobiome analyses which vary among three commonly selected target gene regions (18S, ITS1, or ITS2) and the reference database (UNITE - ITS1, ITS2 and SILVA - 18S). We analyze multiple communities including individual fungal isolates, a mixed mock community created from five common fungal isolates found in weanling piglet feces, a purchased commercial fungal mock community, and piglet fecal samples. In addition, we calculated gene copy numbers for the 18S, ITS1, and ITS2 regions of each of the five isolates from the piglet fecal mock community to determine whether copy number affects abundance estimates. Finally, we determined the abundance of taxa from several iterations of our in-house fecal community to assess the effects of community composition on taxon abundance. RESULTS: Overall, no marker-database combination consistently outperformed the others. Internal transcribed space markers were slightly superior to 18S in the identification of species in tested communities, but Lichtheimia corymbifera, a common member of piglet gut communities, was not amplified by ITS1 and ITS2 primers. Thus, ITS based abundance estimates of taxa in piglet mock communities were skewed while 18S marker profiles were more accurate. Kazachstania slooffiae displayed the most stable copy numbers (83-85) while L. corymbifera displayed significant variability (90-144) across gene regions. DISCUSSION: This study underscores the importance of preliminary studies to assess primer combinations and database choice for the mycobiome sample of interest and raises questions regarding the validity of fungal abundance estimates.
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spelling pubmed-99452312023-02-23 Porcine fungal mock community analyses: Implications for mycobiome investigations Arfken, Ann M. Frey, Juli Foster Carrillo, Nora Isabel Dike, Nneka Ijeoma Onyeachonamm, Ogechukwu Rivera, Daniela Nieves Davies, Cary Pirone Summers, Katie Lynn Front Cell Infect Microbiol Cellular and Infection Microbiology INTRODUCTION: The gut microbiome is an integral partner in host health and plays a role in immune development, altered nutrition, and pathogen prevention. The mycobiome (fungal microbiome) is considered part of the rare biosphere but is still a critical component in health. Next generation sequencing has improved our understanding of fungi in the gut, but methodological challenges remain. Biases are introduced during DNA isolation, primer design and choice, polymerase selection, sequencing platform selection, and data analyses, as fungal reference databases are often incomplete or contain erroneous sequences. METHODS: Here, we compared the accuracy of taxonomic identifications and abundances from mycobiome analyses which vary among three commonly selected target gene regions (18S, ITS1, or ITS2) and the reference database (UNITE - ITS1, ITS2 and SILVA - 18S). We analyze multiple communities including individual fungal isolates, a mixed mock community created from five common fungal isolates found in weanling piglet feces, a purchased commercial fungal mock community, and piglet fecal samples. In addition, we calculated gene copy numbers for the 18S, ITS1, and ITS2 regions of each of the five isolates from the piglet fecal mock community to determine whether copy number affects abundance estimates. Finally, we determined the abundance of taxa from several iterations of our in-house fecal community to assess the effects of community composition on taxon abundance. RESULTS: Overall, no marker-database combination consistently outperformed the others. Internal transcribed space markers were slightly superior to 18S in the identification of species in tested communities, but Lichtheimia corymbifera, a common member of piglet gut communities, was not amplified by ITS1 and ITS2 primers. Thus, ITS based abundance estimates of taxa in piglet mock communities were skewed while 18S marker profiles were more accurate. Kazachstania slooffiae displayed the most stable copy numbers (83-85) while L. corymbifera displayed significant variability (90-144) across gene regions. DISCUSSION: This study underscores the importance of preliminary studies to assess primer combinations and database choice for the mycobiome sample of interest and raises questions regarding the validity of fungal abundance estimates. Frontiers Media S.A. 2023-02-08 /pmc/articles/PMC9945231/ /pubmed/36844394 http://dx.doi.org/10.3389/fcimb.2023.928353 Text en Copyright © 2023 Arfken, Frey, Carrillo, Dike, Onyeachonamm, Rivera, Davies and Summers https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Arfken, Ann M.
Frey, Juli Foster
Carrillo, Nora Isabel
Dike, Nneka Ijeoma
Onyeachonamm, Ogechukwu
Rivera, Daniela Nieves
Davies, Cary Pirone
Summers, Katie Lynn
Porcine fungal mock community analyses: Implications for mycobiome investigations
title Porcine fungal mock community analyses: Implications for mycobiome investigations
title_full Porcine fungal mock community analyses: Implications for mycobiome investigations
title_fullStr Porcine fungal mock community analyses: Implications for mycobiome investigations
title_full_unstemmed Porcine fungal mock community analyses: Implications for mycobiome investigations
title_short Porcine fungal mock community analyses: Implications for mycobiome investigations
title_sort porcine fungal mock community analyses: implications for mycobiome investigations
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945231/
https://www.ncbi.nlm.nih.gov/pubmed/36844394
http://dx.doi.org/10.3389/fcimb.2023.928353
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