Comparison of Different Approaches for Microbial Community Investigation of Arctic Ocean Samples

none Modern microbial ecology offers a plethora of approaches for investigating microbial populations. The Arctic Ocean is an example of an environment that is difficult to research without the use of such tools, and the benefits and drawbacks of each are still unclear. A computational comparison of...

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Main Author: GAMBARDELLA, NICOLA
Other Authors: VEZZI, ALESSANDRO
Language:unknown
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/20.500.12608/61232
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spelling ftunivpadodiss:oai:thesis.unipd.it:20.500.12608/61232 2024-01-21T10:03:19+01:00 Comparison of Different Approaches for Microbial Community Investigation of Arctic Ocean Samples GAMBARDELLA, NICOLA VEZZI, ALESSANDRO 2023-12-20T10:38:19Z https://hdl.handle.net/20.500.12608/61232 unknown Dipartimento di Biologia - DiBio MOLECULAR BIOLOGY Laurea Magistrale (D.M. 270/2004) 2022 https://hdl.handle.net/20.500.12608/61232 Metagenomics Arctic Comparison Bioinformatics Ocean 2023 ftunivpadodiss https://doi.org/20.500.12608/61232 2023-12-27T00:01:07Z none Modern microbial ecology offers a plethora of approaches for investigating microbial populations. The Arctic Ocean is an example of an environment that is difficult to research without the use of such tools, and the benefits and drawbacks of each are still unclear. A computational comparison of primary methodologies was undertaken in this study with the intention of increasing clarity and assisting future investigations. ASV were estimated using full-16S gene sequencing on the Pacific Bioscience platform, whereas metagenome-assembled-genomes (MAGs) were obtained using shotgun sequencing on the Illumina NovaSeq platform. Furthermore, the entire 16S gene sequence was divided into its well-known hypervariable regions in order to compare how those regions affect the results. The evaluation of the influence of such strategies in the community description revealed a complex picture, which is discussed in this paper. Modern microbial ecology offers a plethora of approaches for investigating microbial populations. The Arctic Ocean is an example of an environment that is difficult to research without the use of such tools, and the benefits and drawbacks of each are still unclear. A computational comparison of primary methodologies was undertaken in this study with the intention of increasing clarity and assisting future investigations. ASV were estimated using full-16S gene sequencing on the Pacific Bioscience platform, whereas metagenome-assembled-genomes (MAGs) were obtained using shotgun sequencing on the Illumina NovaSeq platform. Furthermore, the entire 16S gene sequence was divided into its well-known hypervariable regions in order to compare how those regions affect the results. The evaluation of the influence of such strategies in the community description revealed a complex picture, which is discussed in this paper. Other/Unknown Material Arctic Arctic Ocean Padua Thesis and Dissertations Archive (Università degli Studi die Padova) Arctic Arctic Ocean Pacific
institution Open Polar
collection Padua Thesis and Dissertations Archive (Università degli Studi die Padova)
op_collection_id ftunivpadodiss
language unknown
topic Metagenomics
Arctic
Comparison
Bioinformatics
Ocean
spellingShingle Metagenomics
Arctic
Comparison
Bioinformatics
Ocean
GAMBARDELLA, NICOLA
Comparison of Different Approaches for Microbial Community Investigation of Arctic Ocean Samples
topic_facet Metagenomics
Arctic
Comparison
Bioinformatics
Ocean
description none Modern microbial ecology offers a plethora of approaches for investigating microbial populations. The Arctic Ocean is an example of an environment that is difficult to research without the use of such tools, and the benefits and drawbacks of each are still unclear. A computational comparison of primary methodologies was undertaken in this study with the intention of increasing clarity and assisting future investigations. ASV were estimated using full-16S gene sequencing on the Pacific Bioscience platform, whereas metagenome-assembled-genomes (MAGs) were obtained using shotgun sequencing on the Illumina NovaSeq platform. Furthermore, the entire 16S gene sequence was divided into its well-known hypervariable regions in order to compare how those regions affect the results. The evaluation of the influence of such strategies in the community description revealed a complex picture, which is discussed in this paper. Modern microbial ecology offers a plethora of approaches for investigating microbial populations. The Arctic Ocean is an example of an environment that is difficult to research without the use of such tools, and the benefits and drawbacks of each are still unclear. A computational comparison of primary methodologies was undertaken in this study with the intention of increasing clarity and assisting future investigations. ASV were estimated using full-16S gene sequencing on the Pacific Bioscience platform, whereas metagenome-assembled-genomes (MAGs) were obtained using shotgun sequencing on the Illumina NovaSeq platform. Furthermore, the entire 16S gene sequence was divided into its well-known hypervariable regions in order to compare how those regions affect the results. The evaluation of the influence of such strategies in the community description revealed a complex picture, which is discussed in this paper.
author2 VEZZI, ALESSANDRO
author GAMBARDELLA, NICOLA
author_facet GAMBARDELLA, NICOLA
author_sort GAMBARDELLA, NICOLA
title Comparison of Different Approaches for Microbial Community Investigation of Arctic Ocean Samples
title_short Comparison of Different Approaches for Microbial Community Investigation of Arctic Ocean Samples
title_full Comparison of Different Approaches for Microbial Community Investigation of Arctic Ocean Samples
title_fullStr Comparison of Different Approaches for Microbial Community Investigation of Arctic Ocean Samples
title_full_unstemmed Comparison of Different Approaches for Microbial Community Investigation of Arctic Ocean Samples
title_sort comparison of different approaches for microbial community investigation of arctic ocean samples
publishDate 2023
url https://hdl.handle.net/20.500.12608/61232
geographic Arctic
Arctic Ocean
Pacific
geographic_facet Arctic
Arctic Ocean
Pacific
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
op_relation Dipartimento di Biologia - DiBio
MOLECULAR BIOLOGY Laurea Magistrale (D.M. 270/2004)
2022
https://hdl.handle.net/20.500.12608/61232
op_doi https://doi.org/20.500.12608/61232
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