L’UMR CBGP – Centre de Biologie pour la Gestion des Populations – a pour vocation de comprendre les mécanismes qui régissent l’évolution de populations d'organismes importants pour l’agronomie, les forêts, la santé humaine ou la conservation de la biodiversité. Les recherches portent sur des modèles biologiques et sont développées selon six axes : origine et caractérisation de la biodiversité ; adaptation des phytophages, de leurs ennemis naturels et de leurs symbiontes ; écologie et évolution des zoonoses ; biologie, écologie et évolution des espèces envahissantes ; génomique statistique et évolutive des populations ; approches moléculaires et bioinformatiques haut débit. Nos tutelles sont l'INRAE, le CIRAD, l'IRD et l'Institut Agro-Montpellier.

UMR CBGP – Centre de Biologie pour la Gestion des Populations – aims to understand the mechanisms that govern populations of organisms that are important to agriculture, forest, human health and biodiversity conservation. Studies concern biological models and follow six lines of research: origin and characterization of biodiversity; adaptation of plant eaters, their natural enemies and symbionts; ecology and evolution of zoonoses; biology, ecology and evolution of invasive species; statistical and evolutionary population genomics; and high-throughput molecular and bioinformatics techniques. Our supervising bodies are INRAE, CIRAD, IRD and Institut Agro-Montpellier.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

81 to 90 of 148 Results
Preprocess_1step_forFrogs_parameters_file_16Sv4.txt
2 mai 2023 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
Plain Text - 3,5 KB - MD5: 8a32246bf8d40f71976a9131e37a0ac1
This text file contain parameters needed by the shell script "Preprocess_1step_forFrogs.sh"
R-analyses.R
2 mai 2023 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
R Source Code - 20,9 KB - MD5: 775e2f0bad561c40e36b19d1ec9219e0
R script for all statistical analyses (using R-data.xlsx).
R-data.tab
2 mai 2023 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
Tabular Data - 4,1 KB - 49 Variables, 17 Observations - UNF:6:3cpS5HiYLk+POaq90NQuug==
Data for statistical analyses for each HTP 96 DNA purification method and cell community standard (DNA yield and abundance tables from amplicon sequencing of the V4 region of bacterial 16SrRNA gene, with metadata)
Repfilter2.R
2 mai 2023 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
R Syntax - 4,0 KB - MD5: 551c279dc661537756cba1b89ba72472
R function required for the second R script for data filtering.
Tccfilter.R
2 mai 2023 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
R Syntax - 1,6 KB - MD5: 6c5f4b29437897c7c799dd81f24e31bc
R function required for the second R script for data filtering.
Tfafilter.R
2 mai 2023 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
R Syntax - 1,3 KB - MD5: dbaf780fd41340ca2766594858d24f5f
R function required for the first R script for data filtering.
Readme.txt
2 mai 2023 - Multi-agent model SANDMAN: source code
Plain Text - 79 B - MD5: 20c0b79b96fa22c37c51f8fcb7498f2f
Documentation
Where to download Netlogo
Original data for "Chapuis et al., 2023. Domestication provides durum wheat with protection from locust herbivory. Ecology and Evolution, 13(1): e9741"
Original data for "Chapuis et al., 2023. Domestication provides durum wheat with protection from locust herbivory. Ecology and Evolution, 13(1): e9741"
18 janv. 2023
CHAPUIS, Marie-Pierre; LEMENAGER, Nicolas; PIOU, Cyril; ROUMET, Pierre; MARCHE, Héloïse; CENTANNI, Julia; ESTIENNE, Christophe; ECARNOT, Martin; VASSEUR, François; VIOLLE, Cyrille; KAZAKOU, Elena, 2023, "Original data for "Chapuis et al., 2023. Domestication provides durum wheat with protection from locust herbivory. Ecology and Evolution, 13(1): e9741"", https://doi.org/10.18167/DVN1/HFGUJH, CIRAD Dataverse, V1
Functional and nutritional leaf trait data, behavioural insect data, and R scripts for analyses.
analyze.bayesian.r
18 janv. 2023 - Original data for "Chapuis et al., 2023. Domestication provides durum wheat with protection from locust herbivory. Ecology and Evolution, 13(1): e9741"
R Syntax - 12,2 KB - MD5: 8b73c36585b7ed8de08681be90e43c60
Code
Wrapping code of BRugs package functions.
Choice_Test_Locust_Controls.txt
18 janv. 2023 - Original data for "Chapuis et al., 2023. Domestication provides durum wheat with protection from locust herbivory. Ecology and Evolution, 13(1): e9741"
Plain Text - 7,7 KB - MD5: d4a44c278e6698f725adbb1afbad27a5
Laboratory experimental data: areas of leaf samples used as a control for the effect of climatic variation in the room (in absence of a locust).
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.