The total microbiome functions in bacteria and fungi

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F20%3A43901321" target="_blank" >RIV/60076658:12310/20:43901321 - isvavai.cz</a>

Alternative codes found

RIV/61388971:_____/20:00525039

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1874391919303951?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1874391919303951?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jprot.2019.103623" target="_blank" >10.1016/j.jprot.2019.103623</a>

Result language

angličtina

Original language name

The total microbiome functions in bacteria and fungi

Original language description

Unveiling the relationship between phylogeny and function of the microbiome is crucial to determine its contribution to ecosystem functioning. However, while there is a considerable amount of information on microbial phylogenetic diversity, our understanding of its relationship to functional diversity is still scarce. Here we predicted the total microbiome functions of bacteria and fungi on Earth using the total known functions from level 3 of KEGG Orthology by modelling the increase of functions with increasing diversity of bacteria or fungi. For bacteria and fungi, the unsaturated model described the data significantly better (for both P &lt; 2.2e-16), suggesting the presence of two types of functions. Widespread functions ubiquitous in every living organism that make up two thirds of our current knowledge of microbiome functions are separated from rare functions from specialised enzymes present in only a few species. Given previous estimates on species richness, we predicted a global total of 35.5 million functions in bacteria and 3.2 million in fungi; of which only 0.02% and 0.14% are known today. Our approach highlights the necessity of novel and more sophisticated methods to unveil the entirety of rare functions to fully understand the involvement of the microbiome in ecosystem functioning. Significance: The functionality of and within a microbial community is generally inferred based on the taxonomic annotation of the organism. However, our understanding of functional diversity and how it relates to taxonomy is still limited. Here we predict the total microbiome functionality in bacteria and fungi on Earth using known and annotated protein-coding sequences in species accumulation curves. Our estimates reveal that the majority of functionality ( &gt; 99%) could be assigned to yet unknown and rare functions, highlighting that our current knowledge is incomplete and functional inference is thus lackluster.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10606 - Microbiology

Project

<a href="/en/project/GA18-25706S" target="_blank" >GA18-25706S: Bacterial communities involved in biogeochemical cycling in forest soils: from the roots to the litter</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Proteomics

ISSN

1874-3919

e-ISSN

—

Volume of the periodical

213

Issue of the periodical within the volume

FEB 20 2020

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

5

Pages from-to

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UT code for WoS article

000510957000015

EID of the result in the Scopus database

2-s2.0-85076717050