Data/hora: 08/06/2024 18:11:44

Provedor de dados: 	5	
País: 	France	
Título: 	Some considerations for analyzing biodiversity using integrative metagenomics and gene networks	
Autores: 	Bittner, Lucie; Halary, Sebastien; Payri, Claude; Cruaud, Corinne; De Reviers, Bruno; Lopez, Philippe; Bapteste, Eric.	
Data: 	2010-07	
Ano: 	2010	
Palavras-chave: 	Microbial diversity; Species concept; Dna barcodes; Ecological perspective; Community; Functional analysis; Rhodophyta; Systematics; Fragments; Taxonomy.	
Resumo: 	Background:  Improving knowledge of biodiversity will benefit conservation biology, enhance bioremediation studies, and could lead to new medical treatments. However there is no standard approach to estimate and to compare the diversity of different environments, or to study its past, and possibly, future evolution. Presentation of the hypothesis:  We argue that there are two conditions for significant progress in the identification and quantification of biodiversity. First, integrative metagenomic studies - aiming at the simultaneous examination (or even better at the integration) of observations about the elements, functions and evolutionary processes captured by the massive sequencing of multiple markers - should be preferred over DNA barcoding projects and over metagenomic projects based on a single marker. Second, such metagenomic data should be studied with novel inclusive network-based approaches, designed to draw inferences both on the many units and on the many processes present in the environments. Testing the hypothesis:  We reached these conclusions through a comparison of the theoretical foundations of two molecular approaches seeking to assess biodiversity: metagenomics (mostly used on prokaryotes and protists) and DNA barcoding (mostly used on multicellular eukaryotes), and by pragmatic considerations of the issues caused by the 'species problem' in biodiversity studies.  Implications of the hypothesis:  Evolutionary gene networks reduce the risk of producing biodiversity estimates with limited explanatory power, biased either by unequal rates of LGT, or difficult to interpret due to (practical) problems caused by type I and type II grey zones. Moreover, these networks would easily accommodate additional (meta) transcriptomic and (meta) proteomic data.	
Tipo: 	Text	
Idioma: 	Inglês	
Identificador: 	https://archimer.ifremer.fr/doc/00202/31321/29733.pdf

DOI:10.1186/1745-6150-5-47

https://archimer.ifremer.fr/doc/00202/31321/	
Editor: 	Biomed Central Ltd	
Formato: 	application/pdf	
Fonte: 	Biology Direct (1745-6150) (Biomed Central Ltd), 2010-07 , Vol. 5 , N. 47 , P. 1-17	
Fonte: 	2010 Bittner et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

info:eu-repo/semantics/openAccess

restricted use