Literature DB >> 35668514

Low-cost sample preservation methods for high-throughput processing of rumen microbiomes.

Juliana C C Budel1,2, Melanie K Hess1, John C McEwan1, Suzanne J Rowe1, Timothy P Bilton3, Hannah Henry1, Ken G Dodds1, Peter H Janssen4.   

Abstract

BACKGROUND: The use of rumen microbial community (RMC) profiles to predict methane emissions has driven interest in ruminal DNA preservation and extraction protocols that can be processed cheaply while also maintaining or improving DNA quality for RMC profiling. Our standard approach for preserving rumen samples, as defined in the Global Rumen Census (GRC), requires time-consuming pre-processing steps of freeze drying and grinding prior to international transportation and DNA extraction. This impedes researchers unable to access sufficient funding or infrastructure. To circumvent these pre-processing steps, we investigated three methods of preserving rumen samples for subsequent DNA extraction, based on existing lysis buffers Tris-NaCl-EDTA-SDS (TNx2) and guanidine hydrochloride (GHx2), or 100% ethanol.
RESULTS: Rumen samples were collected via stomach intubation from 151 sheep at two time-points 2 weeks apart. Each sample was separated into four subsamples and preserved using the three preservation methods and the GRC method (n = 4 × 302). DNA was extracted and sequenced using Restriction Enzyme-Reduced Representation Sequencing to generate RMC profiles. Differences in DNA yield, quality and integrity, and sequencing metrics were observed across the methods (p < 0.0001). Ethanol exhibited poorer quality DNA (A260/A230 < 2) and more failed samples compared to the other methods. Samples preserved using the GRC method had smaller relative abundances in gram-negative genera Anaerovibrio, Bacteroides, Prevotella, Selenomonas, and Succiniclasticum, but larger relative abundances in the majority of 56 additional genera compared to TNx2 and GHx2. However, log10 relative abundances across all genera and time-points for TNx2 and GHx2 were on average consistent (R2 > 0.99) but slightly more variable compared to the GRC method. Relative abundances were moderately to highly correlated (0.68 ± 0.13) between methods for samples collected within a time-point, which was greater than the average correlation (0.17 ± 0.11) between time-points within a preservation method.
CONCLUSIONS: The two modified lysis buffers solutions (TNx2 and GHx2) proposed in this study were shown to be viable alternatives to the GRC method for RMC profiling in sheep. Use of these preservative solutions reduces cost and improves throughput associated with processing and sequencing ruminal samples. This development could significantly advance implementation of RMC profiles as a tool for breeding ruminant livestock.
© 2022. The Author(s).

Entities:  

Keywords:  Genotyping-by-sequencing; PstI; RE-RRS; Rumen microbial profiles; Rumen microbiology; Superorganism

Year:  2022        PMID: 35668514      PMCID: PMC9171989          DOI: 10.1186/s42523-022-00190-z

Source DB:  PubMed          Journal:  Anim Microbiome        ISSN: 2524-4671


  33 in total

1.  Effects of centrifugation speed and freezing on composition of ruminal bacterial samples collected from defaunated sheep.

Authors:  J T Hsu; G C Fahey
Journal:  J Dairy Sci       Date:  1990-01       Impact factor: 4.034

Review 2.  Review: The compositional variation of the rumen microbiome and its effect on host performance and methane emission.

Authors:  I Mizrahi; E Jami
Journal:  Animal       Date:  2018-08-24       Impact factor: 3.240

3.  Nitrogen metabolism and rumen microbial enumeration in lactating cows with divergent residual feed intake fed high-digestibility pasture.

Authors:  A G Rius; S Kittelmann; K A Macdonald; G C Waghorn; P H Janssen; E Sikkema
Journal:  J Dairy Sci       Date:  2012-09       Impact factor: 4.034

4.  High throughput whole rumen metagenome profiling using untargeted massively parallel sequencing.

Authors:  Elizabeth M Ross; Peter J Moate; Carolyn R Bath; Sophie E Davidson; Tim I Sawbridge; Kathryn M Guthridge; Ben G Cocks; Ben J Hayes
Journal:  BMC Genet       Date:  2012-07-02       Impact factor: 2.797

5.  GBSX: a toolkit for experimental design and demultiplexing genotyping by sequencing experiments.

Authors:  Koen Herten; Matthew S Hestand; Joris R Vermeesch; Jeroen K J Van Houdt
Journal:  BMC Bioinformatics       Date:  2015-03-06       Impact factor: 3.169

6.  Phylogenomic analysis supports the ancestral presence of LPS-outer membranes in the Firmicutes.

Authors:  Luisa Cs Antunes; Daniel Poppleton; Andreas Klingl; Alexis Criscuolo; Bruno Dupuy; Céline Brochier-Armanet; Christophe Beloin; Simonetta Gribaldo
Journal:  Elife       Date:  2016-08-31       Impact factor: 8.140

7.  Studies on bacterial community composition are affected by the time and storage method of the rumen content.

Authors:  Yury Tatiana Granja-Salcedo; Ricardo Andrés Ramirez-Uscategui; Elwi Guillermo Machado; Juliana Duarte Messana; Luciano Takeshi Kishi; Ana Veronica Lino Dias; Telma Teresinha Berchielli
Journal:  PLoS One       Date:  2017-04-28       Impact factor: 3.240

8.  Effects of long-acting, broad spectra anthelmintic treatments on the rumen microbial community compositions of grazing sheep.

Authors:  Christina D Moon; Luis Carvalho; Michelle R Kirk; Alan F McCulloch; Sandra Kittelmann; Wayne Young; Peter H Janssen; Dave M Leathwick
Journal:  Sci Rep       Date:  2021-02-15       Impact factor: 4.379

9.  Effect of DNA extraction methods and sampling techniques on the apparent structure of cow and sheep rumen microbial communities.

Authors:  Gemma Henderson; Faith Cox; Sandra Kittelmann; Vahideh Heidarian Miri; Michael Zethof; Samantha J Noel; Garry C Waghorn; Peter H Janssen
Journal:  PLoS One       Date:  2013-09-11       Impact factor: 3.240

10.  A restriction enzyme reduced representation sequencing approach for low-cost, high-throughput metagenome profiling.

Authors:  Melanie K Hess; Suzanne J Rowe; Tracey C Van Stijn; Hannah M Henry; Sharon M Hickey; Rudiger Brauning; Alan F McCulloch; Andrew S Hess; Michelle R Kirk; Sandeep Kumar; Cesar Pinares-Patiño; Sandra Kittelmann; Graham R Wood; Peter H Janssen; John C McEwan
Journal:  PLoS One       Date:  2020-04-03       Impact factor: 3.240

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