@article{PAR00011063,
  title = {{A} unifying quantitative framework for exploring the multiple facets of microbial biodiversity across diverse scales},
  author = {{E}scalas, {A}. and {B}ouvier, {T}. and {M}ouchet, {M}. {A}. and {L}eprieur, {F}. and {B}ouvier, {C}. and {T}roussellier, {M}arc and {M}ouillot, {D}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}ecent developments of molecular tools have revolutionized our knowledge of microbial biodiversity by allowing detailed exploration of its different facets and generating unprecedented amount of data. {O}ne key issue with such large datasets is the development of diversity measures that cope with different data outputs and allow comparison of biodiversity across different scales. {D}iversity has indeed three components: local (), regional () and the overall difference between local communities (). {C}urrent measures of microbial diversity, derived from several approaches, provide complementary but different views. {T}hey only capture the component of diversity, compare communities in a pairwise way, consider all species as equivalent or lack a mathematically explicit relationship among the , and components. {W}e propose a unified quantitative framework based on the {R}ao quadratic entropy, to obtain an additive decomposition of diversity (=+), so the three components can be compared, and that integrate the relationship (phylogenetic or functional) among {M}icrobial {D}iversity {U}nits that compose a microbial community. {W}e show how this framework is adapted to all types of molecular data, and we highlight crucial issues in microbial ecology that would benefit from this framework and propose ready-to-use {R}-functions to easily set up our approach.},
  keywords = {},
  booktitle = {},
  journal = {{E}nvironmental {M}icrobiology},
  volume = {15},
  numero = {10},
  pages = {2642--2657},
  ISSN = {1462-2912},
  year = {2013},
  DOI = {10.1111/1462-2920.12156},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00011063},
}