Philippa Kaur

To gain critical knowledge on the microbial communities inhabiting the ear skin of wild house mouse, we analyzed 203 M. m. domesticus individuals coming from 34 distinct locations around the southwestern French commune of Espelette. Further, we recently determined that community profiling based on 16S rRNA gene transcripts may better reflect true residents and underlying […] More

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1. Bestion E, García-Carreras B, Schaum C-E, Pawar S, Yvon-Durocher G. Metabolic traits predict the effects of warming on phytoplankton competition. Ecol Lett. 2018;21:655–64. PubMed  PubMed Central  Google Scholar  2. Burson A, Stomp M, Greenwell E, Grosse J, Huisman J. Competition for nutrients and light: testing advances in resource competition with a natural phytoplankton community. […] More

SGEFA-based quantification of environmental controls The multivariate statistical approach, SGEFA, assesses the response of a rapidly changing atmospheric or ecological variable, such as fire carbon emission and burned area fraction (Supplementary Fig. 3), to a set of slowly changing environmental forcings, such as SST, soil moisture, or LAI17,18,24,25,26. At timescale, τ (currently assigned to 1 month), […] More

Detection of Oscillospira in the GGMP samples We analyzed 6376 gut microbiota samples from 6376 people. The number of reads per sample was rarefied to 10000. Oscillospira was detected in 99.15% (6322/6376) of all samples. The mean relative abundance of Oscillospira was 1.97%, ranked the 12th at the genus level. At the sub-OTU level, we […] More

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1. Zanette, L. Y. & Clinchy, M. In APA Handbook of Comparative Psychology Vol. 1 (ed. J. Call) 815–831 (APA Books, 2017). 2. Crane, A. L., Brown, G. E., Chivers, D. P. & Ferrari, M. C. O. An ecological framework of neophobia: from cells to organisms to populations. Biol Rev 95, 218–231 (2020). Google Scholar  […] More