Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/200007
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Niche separation within aerobic methanotrophic bacteria across lakes and its link to methane oxidation rates |
Autor: | Reis, Paula C.J.; Thottathil, S.; Ruiz-González, Clara CSIC ORCID ; Prairie, Yves T. | Fecha de publicación: | feb-2020 | Editor: | Society for Applied Microbiology | Citación: | Environmental Microbiology 22(2): 738-751 (2020) | Resumen: | Lake methane (CH4) emissions are largely controlled by aerobic methane‐oxidizing bacteria (MOB) which mostly belong to the classes Alpha‐ and Gammaproteobacteria (Alpha‐ and Gamma‐MOB). Despite the known metabolic and ecological differences between the two MOB groups, their main environmental drivers and their relative contribution to CH4 oxidation rates across lakes remain unknown. Here, we quantified the two MOB groups through CARD‐FISH along the water column of six temperate lakes and during incubations in which we measured ambient CH4 oxidation rates. We found a clear niche separation of Alpha‐ and Gamma‐MOB across lake water columns, which is mostly driven by oxygen concentration. Gamma‐MOB appears to dominate methanotrophy throughout the water column, but Alpha‐MOB may also be an important player particularly in well‐oxygenated bottom waters. The inclusion of Gamma‐MOB cell abundance improved environmental models of CH4 oxidation rate, explaining part of the variation that could not be explained by environmental factors alone. Altogether, our results show that MOB composition is linked to CH4 oxidation rates in lakes and that information on the MOB community can help predict CH4 oxidation rates and thus emissions from lakes | Descripción: | 14 pages, 6 figures, 1 table, supporting information https://doi.org/10.1111/1462-2920.14877 | Versión del editor: | https://doi.org/10.1111/1462-2920.14877 | URI: | http://hdl.handle.net/10261/200007 | DOI: | 10.1111/1462-2920.14877 | Identificadores: | issn: 1462-2912 e-issn: 1462-2920 |
Aparece en las colecciones: | (ICM) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Reis_et_al_2020_preprint.pdf | 2,76 MB | Adobe PDF | Visualizar/Abrir | |
Reis_et_al_2020_suppl.pdf | 885,89 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
27
checked on 02-abr-2024
WEB OF SCIENCETM
Citations
25
checked on 21-feb-2024
Page view(s)
186
checked on 16-abr-2024
Download(s)
519
checked on 16-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.