Improved sensitivity, accuracy and prediction provided by a high-performance liquid chromatography screen for the isolation of phytase-harbouring organisms from environmental samples

A - Papers appearing in refereed journals

Rix, G. D., Todd, J. D., Neal, A. L. and Brearley, C. A. 2020. Improved sensitivity, accuracy and prediction provided by a high-performance liquid chromatography screen for the isolation of phytase-harbouring organisms from environmental samples. Microbial Biotechnology. https://doi.org/10.1111/1751-7915.13733

AuthorsRix, G. D., Todd, J. D., Neal, A. L. and Brearley, C. A.
Abstract

HPLC methods are shown to be of predictive value for classification of phytase activity of aggregate microbial communities and pure cultures. Applied in initial screens, they obviate the problems of ‘false‐positive’ detection arising from impurity of substrate and imprecision of methodologies that rely on phytate‐specific media. In doing so, they simplify selection of candidates for biotechnological applications. Combined with 16S sequencing and simple bioinformatics, they reveal diversity of the histidine phosphatase class of phytases most commonly exploited for biotechnological use. They reveal contribution of multiple inositol‐polyphosphate phosphatase (MINPP) activity to aggregate soil phytase activity, and they identity Acinetobacter spp. as harbouring this prevalent soil phytase activity. Previously, among bacteria MINPP was described exclusively as an activity of gut commensals. HPLC methods have also identified, in a facile manner, a known commercially successful histidine (acid) phosphatase enzyme. The methods described afford opportunity for isolation of phytases for biotechnological use from other environments. They reveal the position of attack on phytate by diverse histidine phosphatases, something that other methods lack.

Year of Publication2020
JournalMicrobial Biotechnology
Digital Object Identifier (DOI)https://doi.org/10.1111/1751-7915.13733
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeS2N - Soil to Nutrition - Work package 1 (WP1) - Optimising nutrient flows and pools in the soil-plant-biota system
The Rothamsted Long-Term Experiments including Sample Archive and e-RA database [2012-2017]
The Rothamsted Long Term Experiments [2017-2022]
BB/L024209/1
Publisher's version
Output statusPublished
Publication dates
Online21 Dec 2020
Publication process dates
Accepted28 Nov 2020
PublisherWiley
ISSN1751-7915

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