Merge branch 'ceps-dm-mekhrona' into 'main'

Added Authors and edited License to README.md

See merge request !3

README.md

 # Host preference and invasiveness of commensal bacteria in the *Lotus* and *Arabidopsis* root microbiota
 
-## Abstract for Wippel (2021)
+## Original Publication
+
+Wippel, K., Tao, K., Niu, Y. et al. Host preference and invasiveness of commensal bacteria in the Lotus and Arabidopsis root microbiota. Nat Microbiol 6, 1150–1162 (2021). https://doi.org/10.1038/s41564-021-00941-9
+
+## Abstract
 
 Roots of different plant species are colonized by bacterial communities, that are distinct even when hosts share the same habitat. It remains unclear to what extent the host actively selects these communities and whether commensals are adapted to a specific plant species. To address this question, we assembled a sequence-indexed bacterial culture collection from roots and nodules of *Lotus japonicus* that contains representatives of most species previously identified using metagenomics. We analysed taxonomically paired synthetic communities from *L. japonicus* and *Arabidopsis thaliana* in a multi-species gnotobiotic system and detected signatures of host preference among commensal bacteria in a community context, but not in mono-associations. Sequential inoculation experiments revealed priority effects during root microbiota assembly, where established communities are resilient to invasion by latecomers, and that host preference of commensal bacteria confers a competitive advantage in their cognate host. Our findings show that host preference in commensal bacteria from diverse taxonomic groups is associated with their invasiveness into standing root-associated communities.
 
 <img src=./_publication/Wippel_2021_cropped.png width=60%>
 
-## Publication Details
-
-- **DOI**: [10.1038/s41564-021-00941-9](https://doi.org/10.1038/s41564-021-00941-9)
-- **Title**: Host preference and invasiveness of commensal bacteria in the *Lotus* and *Arabidopsis* root microbiota
-- **Journal**: Nature Microbiology
-- **Published on**: 2021-07-26
 
 ## Data Availability
 
@@ -23,4 +21,4 @@ The scripts used for the computational analyses described in this study are avai
 
 ## License
 
-- *License*: Creative Commons Attribution (CC BY 4.0)
+This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.