Literature DB >> 24146154

Technical note: Comparison of biomarker and molecular biological methods for estimating methanogen abundance.

C A McCartney1, I D Bull, S M Waters, R J Dewhurst.   

Abstract

Quantitative real-time PCR (qPCR) has become a popular method for estimation of methanogen abundance in the ruminant digestive tract. However, there is no established method in terms of primer choice and quantification, which means that results are variable and not directly comparable between studies. Archaeol has been proposed as an alternative marker for methanogen abundance, as it is ubiquitous in methanogenic Archaea, and can be quantified by gas chromatography-mass spectrometry (GC-MS). The aim of this experiment was to compare total methanogen populations estimated using the new archaeol approach with estimates based on qPCR. Specific primer sets and probes were used to detect dominant ruminal methanogen species Methanobrevibacter ruminantium, Methanobrevibacter smithii, Methanosphaera stadtmanae, and total methanogen populations. There was variation in the relationships among total methanogen abundance estimates based on archaeol and qPCR. In addition, the universal methanogen primers appeared to preferentially amplify genes from M. smithii. Archaeol had the strongest relationship with the dominant rumen methanogen M. ruminantium, whereas the total methanogen primers had a comparatively weak relationship with archaeol. Archaeol analysis was a useful adjunct to molecular biology methods, but it seems that a valid specific primer for M. ruminantium would be more useful than a biased primer for total methanogens.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24146154     DOI: 10.2527/jas.2013-6513

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  4 in total

Review 1.  Microbial trophic interactions and mcrA gene expression in monitoring of anaerobic digesters.

Authors:  Alejandra Alvarado; Lilia E Montañez-Hernández; Sandra L Palacio-Molina; Ricardo Oropeza-Navarro; Miriam P Luévanos-Escareño; Nagamani Balagurusamy
Journal:  Front Microbiol       Date:  2014-11-12       Impact factor: 5.640

2.  Quantitative analysis of ruminal methanogenic microbial populations in beef cattle divergent in phenotypic residual feed intake (RFI) offered contrasting diets.

Authors:  Ciara A Carberry; David A Kenny; Alan K Kelly; Sinéad M Waters
Journal:  J Anim Sci Biotechnol       Date:  2014-08-22

3.  Feed Intake, Methane Emissions, Milk Production and Rumen Methanogen Populations of Grazing Dairy Cows Supplemented with Various C 18 Fatty Acid Sources.

Authors:  Tommy M Boland; Karina M Pierce; Alan K Kelly; David A Kenny; Mary B Lynch; Sinéad M Waters; Stephen J Whelan; Zoe C McKay
Journal:  Animals (Basel)       Date:  2020-12-11       Impact factor: 2.752

4.  Identification, Comparison, and Validation of Robust Rumen Microbial Biomarkers for Methane Emissions Using Diverse Bos Taurus Breeds and Basal Diets.

Authors:  Marc D Auffret; Robert Stewart; Richard J Dewhurst; Carol-Anne Duthie; John A Rooke; Robert J Wallace; Tom C Freeman; Timothy J Snelling; Mick Watson; Rainer Roehe
Journal:  Front Microbiol       Date:  2018-01-09       Impact factor: 5.640

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.