Old meets new: most probable number validation of metagenomic and metatranscriptomic datasets in soil

A - Papers appearing in refereed journals

Mauchline, T. H., Hayat, R., Clark, I. M. and Hirsch, P. R. 2018. Old meets new: most probable number validation of metagenomic and metatranscriptomic datasets in soil. Letters in Applied Microbiology. 66 (1), pp. 14-18.

AuthorsMauchline, T. H., Hayat, R., Clark, I. M. and Hirsch, P. R.
Abstract

Metagenomics and metatranscriptomics provide insights into biological processes in complex substrates such as soil, but linking the presence and expression of genes with functions can be difficult. Here, we obtain traditional
most probable number estimates (MPN) of Rhizobium abundance in soil as a form of sample validation. Our work shows that in the Highfield experiment at Rothamsted, which has three contrasting conditions (>50 years continual bare
fallow, wheat and grassland), MPN based on host plant nodulation assays corroborate metagenomic and metatranscriptomic estimates for Rhizobium leguminosarum sv. trifolii abundance. This validation is important to legitimize soil metagenomics and metatranscriptomics for the study of complex relationships between gene function and phylogeny

Year of Publication2018
JournalLetters in Applied Microbiology
Journal citation66 (1), pp. 14-18
Digital Object Identifier (DOI)doi:10.1111/lam.12821
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Publisher's version
Output statusPublished
Publication dates
Online11 Dec 2017
Publication process dates
Accepted01 Nov 2017
ISSN02668254
PublisherWiley
Copyright licenseCC BY
Grant IDBBS/E/C/00005196
BB/P01268X/1

Permalink - https://repository.rothamsted.ac.uk/item/8v5yz/old-meets-new-most-probable-number-validation-of-metagenomic-and-metatranscriptomic-datasets-in-soil

35 total views
18 total downloads
3 views this month
1 downloads this month