Cargando…
Decontamination, pooling and dereplication of the 678 samples of the Marine Microbial Eukaryote Transcriptome Sequencing Project
OBJECTIVES: Complex algae are photosynthetic organisms resulting from eukaryote-to-eukaryote endosymbiotic-like interactions. Yet the specific lineages and mechanisms are still under debate. That is why large scale phylogenomic studies are needed. Whereas available proteomes provide a limited divers...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353744/ https://www.ncbi.nlm.nih.gov/pubmed/34372933 http://dx.doi.org/10.1186/s13104-021-05717-2 |
_version_ | 1783736466429444096 |
---|---|
author | Van Vlierberghe, Mick Di Franco, Arnaud Philippe, Hervé Baurain, Denis |
author_facet | Van Vlierberghe, Mick Di Franco, Arnaud Philippe, Hervé Baurain, Denis |
author_sort | Van Vlierberghe, Mick |
collection | PubMed |
description | OBJECTIVES: Complex algae are photosynthetic organisms resulting from eukaryote-to-eukaryote endosymbiotic-like interactions. Yet the specific lineages and mechanisms are still under debate. That is why large scale phylogenomic studies are needed. Whereas available proteomes provide a limited diversity of complex algae, MMETSP (Marine Microbial Eukaryote Transcriptome Sequencing Project) transcriptomes represent a valuable resource for phylogenomic analyses, owing to their broad and rich taxonomic sampling, especially of photosynthetic species. Unfortunately, this sampling is unbalanced and sometimes highly redundant. Moreover, we observed contaminated sequences in some samples. In such a context, tree inference and readability are impaired. Consequently, the aim of the data processing reported here is to release a unique set of clean and non-redundant transcriptomes produced through an original protocol featuring decontamination, pooling and dereplication steps. DATA DESCRIPTION: We submitted 678 MMETSP re-assembly samples to our parallel consolidation pipeline. Hence, we combined 423 samples into 110 consolidated transcriptomes, after the systematic removal of the most contaminated samples (186). This approach resulted in a total of 224 high-quality transcriptomes, easy to use and suitable to compute less contaminated, less redundant and more balanced phylogenies. |
format | Online Article Text |
id | pubmed-8353744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83537442021-08-10 Decontamination, pooling and dereplication of the 678 samples of the Marine Microbial Eukaryote Transcriptome Sequencing Project Van Vlierberghe, Mick Di Franco, Arnaud Philippe, Hervé Baurain, Denis BMC Res Notes Data Note OBJECTIVES: Complex algae are photosynthetic organisms resulting from eukaryote-to-eukaryote endosymbiotic-like interactions. Yet the specific lineages and mechanisms are still under debate. That is why large scale phylogenomic studies are needed. Whereas available proteomes provide a limited diversity of complex algae, MMETSP (Marine Microbial Eukaryote Transcriptome Sequencing Project) transcriptomes represent a valuable resource for phylogenomic analyses, owing to their broad and rich taxonomic sampling, especially of photosynthetic species. Unfortunately, this sampling is unbalanced and sometimes highly redundant. Moreover, we observed contaminated sequences in some samples. In such a context, tree inference and readability are impaired. Consequently, the aim of the data processing reported here is to release a unique set of clean and non-redundant transcriptomes produced through an original protocol featuring decontamination, pooling and dereplication steps. DATA DESCRIPTION: We submitted 678 MMETSP re-assembly samples to our parallel consolidation pipeline. Hence, we combined 423 samples into 110 consolidated transcriptomes, after the systematic removal of the most contaminated samples (186). This approach resulted in a total of 224 high-quality transcriptomes, easy to use and suitable to compute less contaminated, less redundant and more balanced phylogenies. BioMed Central 2021-08-09 /pmc/articles/PMC8353744/ /pubmed/34372933 http://dx.doi.org/10.1186/s13104-021-05717-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Data Note Van Vlierberghe, Mick Di Franco, Arnaud Philippe, Hervé Baurain, Denis Decontamination, pooling and dereplication of the 678 samples of the Marine Microbial Eukaryote Transcriptome Sequencing Project |
title | Decontamination, pooling and dereplication of the 678 samples of the Marine Microbial Eukaryote Transcriptome Sequencing Project |
title_full | Decontamination, pooling and dereplication of the 678 samples of the Marine Microbial Eukaryote Transcriptome Sequencing Project |
title_fullStr | Decontamination, pooling and dereplication of the 678 samples of the Marine Microbial Eukaryote Transcriptome Sequencing Project |
title_full_unstemmed | Decontamination, pooling and dereplication of the 678 samples of the Marine Microbial Eukaryote Transcriptome Sequencing Project |
title_short | Decontamination, pooling and dereplication of the 678 samples of the Marine Microbial Eukaryote Transcriptome Sequencing Project |
title_sort | decontamination, pooling and dereplication of the 678 samples of the marine microbial eukaryote transcriptome sequencing project |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353744/ https://www.ncbi.nlm.nih.gov/pubmed/34372933 http://dx.doi.org/10.1186/s13104-021-05717-2 |
work_keys_str_mv | AT vanvlierberghemick decontaminationpoolinganddereplicationofthe678samplesofthemarinemicrobialeukaryotetranscriptomesequencingproject AT difrancoarnaud decontaminationpoolinganddereplicationofthe678samplesofthemarinemicrobialeukaryotetranscriptomesequencingproject AT philippeherve decontaminationpoolinganddereplicationofthe678samplesofthemarinemicrobialeukaryotetranscriptomesequencingproject AT bauraindenis decontaminationpoolinganddereplicationofthe678samplesofthemarinemicrobialeukaryotetranscriptomesequencingproject |