Gene-targeted-metagenomics reveals extensive diversity of aromatic dioxygenase genes in the environment
Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural
Grantová podpora
P42 ES004911
NIEHS NIH HHS - United States
P42 ES004911-140030
NIEHS NIH HHS - United States
P42 ES004911-160030
NIEHS NIH HHS - United States
P42 ES004911-130030
NIEHS NIH HHS - United States
P42 ES004911-120030
NIEHS NIH HHS - United States
5P42 ES004911-18/19
NIEHS NIH HHS - United States
P42 ES004911-150030
NIEHS NIH HHS - United States
PubMed
19776767
PubMed Central
PMC2808446
DOI
10.1038/ismej.2009.104
PII: ismej2009104
Knihovny.cz E-zdroje
- MeSH
- bakteriální geny * MeSH
- biodegradace MeSH
- dioxygenasy genetika metabolismus MeSH
- DNA primery genetika MeSH
- fylogeneze MeSH
- látky znečišťující půdu metabolismus MeSH
- metagenomika * MeSH
- polymerázová řetězová reakce MeSH
- půdní mikrobiologie * MeSH
- Publikační typ
- časopisecké články MeSH
- Research Support, N.I.H., Extramural MeSH
- Geografické názvy
- Česká republika MeSH
- Názvy látek
- dioxygenasy MeSH
- DNA primery MeSH
- látky znečišťující půdu MeSH
Understanding the relationship between gene diversity and function for important environmental processes is a major ecological research goal. We applied gene-targeted metagenomics and pyrosequencing to aromatic dioxygenase genes to obtain greater sequence depth than possible by other methods. A polymerase chain reaction (PCR) primer set designed to target a 524-bp region that confers substrate specificity of biphenyl dioxygenases yielded 2000 and 604 sequences from the 5' and 3' ends of PCR products, respectively, which passed our validity criteria. Sequence alignment showed three known conserved residues, as well as another seven conserved residues not reported earlier. Of the valid sequences, 95% and 41% were assigned to 22 and 3 novel clusters in that they did not include any earlier reported sequences at 0.6 distance by complete linkage clustering for sequenced regions. The greater diversity revealed by this gene-targeted approach provides deeper insights into genes potentially important in environmental processes to better understand their ecology, functional differences and evolutionary origins. We also provide criteria for primer design for this approach, as well as guidance for data processing of diverse functional genes, as gene databases for most genes of environmental relevance are limited.
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