Gut microbiomes from Gambian infants reveal the development of a non-industrialized Prevotella-based trophic network.
Gut microbiomes from Gambian infants reveal the development of a non-industrialized Prevotella-based trophic network.
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DOI:
10.1038/s41564-021-01023-6
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发表时间:
2022-01
影响因子:
28.3
通讯作者:
Wagner J
中科院分区:
文献类型:
--
作者:
de Goffau MC;Jallow AT;Sanyang C;Prentice AM;Meagher N;Price DJ;Revill PA;Parkhill J;Pereira DIA;Wagner J
Distinct bacterial trophic networks exist in the gut microbiota of individuals in industrialized and non-industrialized countries. In particular, non-industrialized gut microbiomes tend to be enriched with Prevotella species. To study the development of these Prevotella-rich compositions, we investigated the gut microbiota of children aged between 7 and 37 months living in rural Gambia (616 children, 1,389 stool samples, stratified by 3-month age groups). These infants, who typically eat a high-fibre, low-protein diet, were part of a double-blind, randomized iron intervention trial (NCT02941081) and here we report the secondary outcome. We found that child age was the largest discriminating factor between samples and that anthropometric indices (collection time points, season, geographic collection site, and iron supplementation) did not significantly influence the gut microbiome. Prevotella copri, Faecalibacterium prausnitzii and Prevotella stercorea were, on average, the most abundant species in these 1,389 samples (35%, 11% and 7%, respectively). Distinct bacterial trophic network clusters were identified, centred around either P. stercorea or F. prausnitzii and were found to develop steadily with age, whereas P. copri, independently of other species, rapidly became dominant after weaning. This dataset, set within a critical gut microbial developmental time frame, provides insights into the development of Prevotella-rich gut microbiomes, which are typically understudied and are underrepresented in western populations. Analysis of gut microbiomes from Gambian infants reveals bacterial trophic networks based around Prevotella species, which are typically enriched in non-industrialized populations.
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影响因子:
4.3
作者:
Mallick H;Rahnavard A;McIver LJ;Ma S;Zhang Y;Nguyen LH;Tickle TL;Weingart G;Ren B;Schwager EH;Chatterjee S;Thompson KN;Wilkinson JE;Subramanian A;Lu Y;Waldron L;Paulson JN;Franzosa EA;Bravo HC;Huttenhower C
通讯作者:
Huttenhower C
影响因子:
14.9
作者:
Ludwig, W;Strunk, O;Schleifer, KH
通讯作者:
Schleifer, KH
影响因子:
64.8
作者:
Arumugam, Manimozhiyan;Raes, Jeroen;Pelletier, Eric;Le Paslier, Denis;Yamada, Takuji;Mende, Daniel R.;Fernandes, Gabriel R.;Tap, Julien;Bruls, Thomas;Batto, Jean-Michel;Bertalan, Marcelo;Borruel, Natalia;Casellas, Francesc;Fernandez, Leyden;Gautier, Laurent;Hansen, Torben;Hattori, Masahira;Hayashi, Tetsuya;Kleerebezem, Michiel;Kurokawa, Ken;Leclerc, Marion;Levenez, Florence;Manichanh, Chaysavanh;Nielsen, H. Bjorn;Nielsen, Trine;Pons, Nicolas;Poulain, Julie;Qin, Junjie;Sicheritz-Ponten, Thomas;Tims, Sebastian;Torrents, David;Ugarte, Edgardo;Zoetendal, Erwin G.;Wang, Jun;Guarner, Francisco;Pedersen, Oluf;de Vos, Willem M.;Brunak, Soren;Dore, Joel;Weissenbach, Jean;Ehrlich, S. Dusko;Bork, Peer
通讯作者:
Bork, Peer
影响因子:
15.5
作者:
Gorvitovskaia A;Holmes SP;Huse SM
通讯作者:
Huse SM
影响因子:
4.6
作者:
Nagpal, Ravinder;Kurakawa, Takashi;Yamashiro, Yuichiro
通讯作者:
Yamashiro, Yuichiro