# Bacterial "social" network in french soils: a Metagenomics insight

Nicolas Chemidlin Prévost-Bouré, Lionel Ranjard

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Nicolas Chemidlin Prévost-Bouré, Lionel Ranjard. Bacterial "social" network in french soils: a Metagenomics insight. Sfécologie-2016, International Conference of Ecological Sciences, Société Française d'Ecologie (SFE). FRA., Oct 2016, Marseille, France. hal-01604088

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Submitted on 3 Jun 2020

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# Bacterial "social" network in French soils: a Metagenomics insight.

Battle Karimi<fnref n="1" />, Nicolas Chemidlin Prevost-Boure*†<fnref n="2" />, Sebastien Terrat<fnref n="3" />, Samuel Dequiedt<fnref n="1" />, Nicolas Saby<fnref n="4" />, Walid Horrigue<fnref n="1" />, Mélanie Lelièvre<fnref n="3" />, Virginie Nowak<fnref n="3" />, Claudy Jolivet<fnref n="4" />, Dominique Arrouays<fnref n="4" />, Patrick Wincker<fnref n="5" />, Corinne Cruaud<fnref n="5" />, Antonio Bispo<fnref n="6" />, Pierre-Alain Maron<fnref n="3" />, and Lionel Ranjard<fnref n="3" />

## Abstract

High-throughput sequencing technologies evidenced that soil houses a huge microbial biodiversity. Based on these observations, it is now possible to better describe the spatial distribution of soil microbial communities, to study the ecological processes lying behind (environmental selection, dispersal limitations), and to mine the data to define the ecological attributes of soil microbial taxa. These huge datasets also offer the opportunity to study how soil microbial populations are interrelated.

The objective of this study was to design the first bacterial "social" network in French soils, to characterize how bacterial taxa are potentially related to one-another. To do so, the bacterial community composition was characterized for the 2,200 soils of the French Soil Quality Monitoring Network using 454-pyrosequencing based on 16S rRNA genes directly amplified from soil DNA. Bacterial taxa were then identified based on SILVA database. The bacterial "social" network was designed by means of a network analysis. First results at the phylum level demonstrate that the soil bacterial "social" network is highly complex (density 0.585), with different relationships between bacterial phyla (positive/negative, strong/weak). This complexity is determined both by biotic relationships between bacterial phyla and by environmental conditions. Indeed, soil bacterial "social" networks from different ecosystem types did not have the same complexity (density gradient: forests (0.440), grasslands (0.375), croplands (0.346), vineyards (0.021)).

<footnote n="1">¹UMR 1347 Agroécologie (INRA) – Institut national de la recherche agronomique (INRA) : UMR1347 – France</footnote>

<footnote n="2">²UMR 1347 Agroécologie (AgroSup Dijon) – Agrosup, Institut national de la recherche agronomique (INRA) : UMR1347, Université de Bourgogne – BP 86510, F-21000 Dijon, France</footnote>

<footnote n="3">³UMR 1347 Agroécologie (INRA) – Agrosup, Institut national de la recherche agronomique (INRA) : UMR1347, Université de Bourgogne – BP 86510, F-21000 Dijon, France</footnote>

<footnote n="4">⁴Unité INFOSOL (ORLEANS INFOSOL) – Institut national de la recherche agronomique (INRA) : UA1106 – France</footnote>

<footnote n="5">⁵Genoscope - Centre national de séquençage [Evry] (GENOSCOPE) – CEA, Genoscope – 2, rue Gaston Crémieux CP5706 91057 EVRY Cedex, France</footnote>

<footnote n="6">⁶Agence de l'Environnement et de la Maîtrise de l'Energie - ADEME – Agence de l'Environnement et de la Maîtrise de l'Energie - ADEME – France</footnote>

<footnote>*Speaker</footnote>

<footnote>†Corresponding author: n.chemidlin@agrosupdijon.fr</footnote>
Understanding these relationships represents a cornerstone of soil microbial ecology to go
further in understanding ecological processes shaping soil microbial communities; and to
identify land-use practices preserving soil bacterial "social" network complexity.

**Keywords:** soil, bacterial community, network analysis, metagenomics