Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data
Motivation: The characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing of marker genes, such as 16S rRNA, is a powerful tool for assessing and comparing the structure of microbial communities at a high phylogenet...
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| Published in | Bioinformatics Vol. 31; no. 17; pp. 2882 - 2884 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Oxford University Press
01.09.2015
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Motivation: The characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing of marker genes, such as 16S rRNA, is a powerful tool for assessing and comparing the structure of microbial communities at a high phylogenetic resolution. Because 16S rRNA sequencing is more cost-effective than whole metagenome shotgun sequencing, marker gene analysis is frequently used for broad studies that involve a large number of different samples. However, in comparison to shotgun sequencing approaches, insights into the functional capabilities of the community get lost when restricting the analysis to taxonomic assignment of 16S rRNA data.
Results: Tax4Fun is a software package that predicts the functional capabilities of microbial communities based on 16S rRNA datasets. We evaluated Tax4Fun on a range of paired metagenome/16S rRNA datasets to assess its performance. Our results indicate that Tax4Fun provides a good approximation to functional profiles obtained from metagenomic shotgun sequencing approaches.
Availability and implementation: Tax4Fun is an open-source R package and applicable to output as obtained from the SILVAngs web server or the application of QIIME with a SILVA database extension. Tax4Fun is freely available for download at http://tax4fun.gobics.de/.
Contact: kasshau@gwdg.de
Supplementary information: Supplementary data are available at Bioinformatics online. |
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| AbstractList | The characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing of marker genes, such as 16S rRNA, is a powerful tool for assessing and comparing the structure of microbial communities at a high phylogenetic resolution. Because 16S rRNA sequencing is more cost-effective than whole metagenome shotgun sequencing, marker gene analysis is frequently used for broad studies that involve a large number of different samples. However, in comparison to shotgun sequencing approaches, insights into the functional capabilities of the community get lost when restricting the analysis to taxonomic assignment of 16S rRNA data.MOTIVATIONThe characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing of marker genes, such as 16S rRNA, is a powerful tool for assessing and comparing the structure of microbial communities at a high phylogenetic resolution. Because 16S rRNA sequencing is more cost-effective than whole metagenome shotgun sequencing, marker gene analysis is frequently used for broad studies that involve a large number of different samples. However, in comparison to shotgun sequencing approaches, insights into the functional capabilities of the community get lost when restricting the analysis to taxonomic assignment of 16S rRNA data.Tax4Fun is a software package that predicts the functional capabilities of microbial communities based on 16S rRNA datasets. We evaluated Tax4Fun on a range of paired metagenome/16S rRNA datasets to assess its performance. Our results indicate that Tax4Fun provides a good approximation to functional profiles obtained from metagenomic shotgun sequencing approaches.RESULTSTax4Fun is a software package that predicts the functional capabilities of microbial communities based on 16S rRNA datasets. We evaluated Tax4Fun on a range of paired metagenome/16S rRNA datasets to assess its performance. Our results indicate that Tax4Fun provides a good approximation to functional profiles obtained from metagenomic shotgun sequencing approaches.Tax4Fun is an open-source R package and applicable to output as obtained from the SILVAngs web server or the application of QIIME with a SILVA database extension. Tax4Fun is freely available for download at http://tax4fun.gobics.de/.AVAILABILITY AND IMPLEMENTATIONTax4Fun is an open-source R package and applicable to output as obtained from the SILVAngs web server or the application of QIIME with a SILVA database extension. Tax4Fun is freely available for download at http://tax4fun.gobics.de/.kasshau@gwdg.deCONTACTkasshau@gwdg.deSupplementary data are available at Bioinformatics online.SUPPLEMENTARY INFORMATIONSupplementary data are available at Bioinformatics online. Motivation: The characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing of marker genes, such as 16S rRNA, is a powerful tool for assessing and comparing the structure of microbial communities at a high phylogenetic resolution. Because 16S rRNA sequencing is more cost-effective than whole metagenome shotgun sequencing, marker gene analysis is frequently used for broad studies that involve a large number of different samples. However, in comparison to shotgun sequencing approaches, insights into the functional capabilities of the community get lost when restricting the analysis to taxonomic assignment of 16S rRNA data. Results: Tax4Fun is a software package that predicts the functional capabilities of microbial communities based on 16S rRNA datasets. We evaluated Tax4Fun on a range of paired metagenome/16S rRNA datasets to assess its performance. Our results indicate that Tax4Fun provides a good approximation to functional profiles obtained from metagenomic shotgun sequencing approaches. Availability and implementation: Tax4Fun is an open-source R package and applicable to output as obtained from the SILVAngs web server or the application of QIIME with a SILVA database extension. Tax4Fun is freely available for download at http://tax4fun.gobics.de/ . Contact: kasshau@gwdg.de Supplementary information: Supplementary data are available at Bioinformatics online. Motivation: The characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing of marker genes, such as 16S rRNA, is a powerful tool for assessing and comparing the structure of microbial communities at a high phylogenetic resolution. Because 16S rRNA sequencing is more cost-effective than whole metagenome shotgun sequencing, marker gene analysis is frequently used for broad studies that involve a large number of different samples. However, in comparison to shotgun sequencing approaches, insights into the functional capabilities of the community get lost when restricting the analysis to taxonomic assignment of 16S rRNA data.Results: Tax4Fun is a software package that predicts the functional capabilities of microbial communities based on 16S rRNA datasets. We evaluated Tax4Fun on a range of paired metagenome/16S rRNA datasets to assess its performance. Our results indicate that Tax4Fun provides a good approximation to functional profiles obtained from metagenomic shotgun sequencing approaches.Availability and implementation: Tax4Fun is an open-source R package and applicable to output as obtained from the SILVAngs web server or the application of QIIME with a SILVA database extension. Tax4Fun is freely available for download at http://tax4fun.gobics.de/. Supplementary information: Supplementary data are available at Bioinformatics online. The characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing of marker genes, such as 16S rRNA, is a powerful tool for assessing and comparing the structure of microbial communities at a high phylogenetic resolution. Because 16S rRNA sequencing is more cost-effective than whole metagenome shotgun sequencing, marker gene analysis is frequently used for broad studies that involve a large number of different samples. However, in comparison to shotgun sequencing approaches, insights into the functional capabilities of the community get lost when restricting the analysis to taxonomic assignment of 16S rRNA data. Tax4Fun is a software package that predicts the functional capabilities of microbial communities based on 16S rRNA datasets. We evaluated Tax4Fun on a range of paired metagenome/16S rRNA datasets to assess its performance. Our results indicate that Tax4Fun provides a good approximation to functional profiles obtained from metagenomic shotgun sequencing approaches. Tax4Fun is an open-source R package and applicable to output as obtained from the SILVAngs web server or the application of QIIME with a SILVA database extension. Tax4Fun is freely available for download at http://tax4fun.gobics.de/. kasshau@gwdg.de Supplementary data are available at Bioinformatics online. Motivation: The characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing of marker genes, such as 16S rRNA, is a powerful tool for assessing and comparing the structure of microbial communities at a high phylogenetic resolution. Because 16S rRNA sequencing is more cost-effective than whole metagenome shotgun sequencing, marker gene analysis is frequently used for broad studies that involve a large number of different samples. However, in comparison to shotgun sequencing approaches, insights into the functional capabilities of the community get lost when restricting the analysis to taxonomic assignment of 16S rRNA data. Results: Tax4Fun is a software package that predicts the functional capabilities of microbial communities based on 16S rRNA datasets. We evaluated Tax4Fun on a range of paired metagenome/16S rRNA datasets to assess its performance. Our results indicate that Tax4Fun provides a good approximation to functional profiles obtained from metagenomic shotgun sequencing approaches. Availability and implementation: Tax4Fun is an open-source R package and applicable to output as obtained from the SILVAngs web server or the application of QIIME with a SILVA database extension. Tax4Fun is freely available for download at http://tax4fun.gobics.de/. Contact: kasshau@gwdg.de Supplementary information: Supplementary data are available at Bioinformatics online. |
| Author | Aßhauer, Kathrin P. Daniel, Rolf Meinicke, Peter Wemheuer, Bernd |
| Author_xml | – sequence: 1 givenname: Kathrin P. surname: Aßhauer fullname: Aßhauer, Kathrin P. – sequence: 2 givenname: Bernd surname: Wemheuer fullname: Wemheuer, Bernd – sequence: 3 givenname: Rolf surname: Daniel fullname: Daniel, Rolf – sequence: 4 givenname: Peter surname: Meinicke fullname: Meinicke, Peter |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25957349$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1093/bioinformatics/btt077 10.1038/ismej.2014.107 10.1073/pnas.1215210110 10.1038/msb.2008.35 10.1093/nar/gks1219 10.1093/bioinformatics/btu843 10.1126/science.1198719 10.1038/ismej.2012.79 10.1038/nmeth.f.303 10.1093/nar/gkt1076 10.1038/nature11234 10.1093/bioinformatics/btt254 10.1038/nbt.2676 |
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| References | Kunin (2023020202235845600_btv287-B9) 2008; 4 Quast (2023020202235845600_btv287-B14) 2013; 41 Kanehisa (2023020202235845600_btv287-B7) 2014; 42 Muegge (2023020202235845600_btv287-B13) 2011; 332 Human Microbiome Project Consortium (2023020202235845600_btv287-B5) 2012; 486 Harris (2023020202235845600_btv287-B4) 2013; 7 Caporaso (2023020202235845600_btv287-B2) 2010; 7 Klingenberg (2023020202235845600_btv287-B8) 2013; 29 Larsen (2023020202235845600_btv287-B11) 2015; 9 Huson (2023020202235845600_btv287-B6) 2014; 30 Langille (2023020202235845600_btv287-B10) 2013; 31 Meinicke (2023020202235845600_btv287-B12) 2015; 31 Fierer (2023020202235845600_btv287-B3) 2012; 109 Aßhauer (2023020202235845600_btv287-B1) 2013 25540185 - Bioinformatics. 2015 May 1;31(9):1382-8 22699609 - Nature. 2012 Jun 14;486(7402):207-14 23193283 - Nucleic Acids Res. 2013 Jan;41(Database issue):D590-6 24214961 - Nucleic Acids Res. 2014 Jan;42(Database issue):D199-205 20383131 - Nat Methods. 2010 May;7(5):335-6 23975157 - Nat Biotechnol. 2013 Sep;31(9):814-21 25072414 - ISME J. 2015 Jan;9(1):166-79 22832344 - ISME J. 2013 Jan;7(1):50-60 23418187 - Bioinformatics. 2013 Apr 15;29(8):973-80 21596990 - Science. 2011 May 20;332(6032):970-4 23658416 - Bioinformatics. 2014 Jan 1;30(1):38-9 23236140 - Proc Natl Acad Sci U S A. 2012 Dec 26;109(52):21390-5 18523433 - Mol Syst Biol. 2008;4:198 |
| References_xml | – volume: 29 start-page: 973 year: 2013 ident: 2023020202235845600_btv287-B8 article-title: Protein signature-based estimation of metagenomic abundances including all domains of life and viruses publication-title: Bioinformatics doi: 10.1093/bioinformatics/btt077 – volume: 9 start-page: 166 year: 2015 ident: 2023020202235845600_btv287-B11 article-title: Satellite remote sensing data can be used to model marine microbial metabolite turnover publication-title: ISME J. doi: 10.1038/ismej.2014.107 – volume: 109 start-page: 21390 year: 2012 ident: 2023020202235845600_btv287-B3 article-title: Cross-biome metagenomic analyses of soil microbial communities and their functional attributes publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1215210110 – volume: 4 start-page: 198 year: 2008 ident: 2023020202235845600_btv287-B9 article-title: Millimeter-scale genetic gradients and community-level molecular convergence in a hypersaline microbial mat publication-title: Mol. Syst. Biol. doi: 10.1038/msb.2008.35 – volume: 41 start-page: D590 year: 2013 ident: 2023020202235845600_btv287-B14 article-title: The SILVA ribosomal RNA gene database project: improved data processing and web-based tools publication-title: Nucleic Acids Res. doi: 10.1093/nar/gks1219 – volume: 31 start-page: 1382 year: 2015 ident: 2023020202235845600_btv287-B12 article-title: UProC: tools for ultra-fast protein domain classification publication-title: Bioinformatics doi: 10.1093/bioinformatics/btu843 – volume-title: German Conference on Bioinformatics 2013, volume 34 of OpenAccess Series in Informatics (OASIcs) year: 2013 ident: 2023020202235845600_btv287-B1 article-title: On the estimation of metabolic profiles in metagenomics – volume: 332 start-page: 970 year: 2011 ident: 2023020202235845600_btv287-B13 article-title: Diet drives convergence in gut microbiome functions across mammalian phylogeny and within humans publication-title: Science doi: 10.1126/science.1198719 – volume: 7 start-page: 50 year: 2013 ident: 2023020202235845600_btv287-B4 article-title: Phylogenetic stratigraphy in the Guerrero Negro hypersaline microbial mat publication-title: ISME J. doi: 10.1038/ismej.2012.79 – volume: 7 start-page: 335 year: 2010 ident: 2023020202235845600_btv287-B2 article-title: QIIME allows analysis of high-throughput community sequencing data publication-title: Nat. Methods doi: 10.1038/nmeth.f.303 – volume: 42 start-page: D199 year: 2014 ident: 2023020202235845600_btv287-B7 article-title: Data, information, knowledge and principle: back to metabolism in KEGG publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkt1076 – volume: 486 start-page: 207 year: 2012 ident: 2023020202235845600_btv287-B5 article-title: Structure, function and diversity of the healthy human microbiome publication-title: Nature doi: 10.1038/nature11234 – volume: 30 start-page: 38 year: 2014 ident: 2023020202235845600_btv287-B6 article-title: A poor man’s BLASTX–high-throughput metagenomic protein database search using PAUDA publication-title: Bioinformatics doi: 10.1093/bioinformatics/btt254 – volume: 31 start-page: 814 year: 2013 ident: 2023020202235845600_btv287-B10 article-title: Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences publication-title: Nat. Biotechnol. doi: 10.1038/nbt.2676 – reference: 23658416 - Bioinformatics. 2014 Jan 1;30(1):38-9 – reference: 18523433 - Mol Syst Biol. 2008;4:198 – reference: 21596990 - Science. 2011 May 20;332(6032):970-4 – reference: 20383131 - Nat Methods. 2010 May;7(5):335-6 – reference: 23236140 - Proc Natl Acad Sci U S A. 2012 Dec 26;109(52):21390-5 – reference: 22699609 - Nature. 2012 Jun 14;486(7402):207-14 – reference: 25072414 - ISME J. 2015 Jan;9(1):166-79 – reference: 25540185 - Bioinformatics. 2015 May 1;31(9):1382-8 – reference: 24214961 - Nucleic Acids Res. 2014 Jan;42(Database issue):D199-205 – reference: 23193283 - Nucleic Acids Res. 2013 Jan;41(Database issue):D590-6 – reference: 22832344 - ISME J. 2013 Jan;7(1):50-60 – reference: 23418187 - Bioinformatics. 2013 Apr 15;29(8):973-80 – reference: 23975157 - Nat Biotechnol. 2013 Sep;31(9):814-21 |
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| Snippet | Motivation: The characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing... The characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing of marker... Motivation: The characterization of phylogenetic and functional diversity is a key element in the analysis of microbial communities. Amplicon-based sequencing... |
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| Title | Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data |
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