Evidence map›Paper›PMID 34814938›Full record

ArticleMicrobiome2021

Accelerated discovery of novel glycoside hydrolases using targeted functional profiling and selective pressure on the rumen microbiome.

André L A Neves, Jiangkun Yu, Yutaka Suzuki, Marisol Baez-Magana, Elena Arutyunova, Eóin O'Hara, Tim McAllister, Kim H Ominski, M Joanne Lemieux, Le Luo Guan

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 5 countries.

André L A NevesDepartment of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 3, DK-1870, Frederiksberg C, Denmark.
Jiangkun YuDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, T6G2P5, Canada.
Yutaka SuzukiResearch Faculty of Agriculture, Hokkaido University, Sapporo, 0608589, Japan.
Marisol Baez-MaganaCentro Multisciplinario de Estudios en Biotecnologia, Facultad de Veterinaria y Zootecnia Universidad Michoacana de San Nicolas de Hidalgo, 58893, Morelia, Michoacan, Mexico.
Elena ArutyunovaDepartment of Biochemistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada.
Eóin O'HaraDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, T6G2P5, Canada.
Tim McAllisterLethbridge Research Center, Agriculture and Agri-Food Canada, Lethbridge, Alberta, T1J4P4, Canada.
Kim H OminskiDepartment of Animal Science & National Centre for Livestock and the Environment (NCLE), University of Manitoba, Winnipeg, MB, Canada.
M Joanne LemieuxDepartment of Biochemistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada.
Le Luo GuanDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, T6G2P5, Canada. lguan@ualberta.ca.ORCID 0000-0002-8420-4371
University of Alberta · CAAgriculture and Agri-Food Canada · CACanadian Science Centre for Human and Animal Health · CAHokkaido University · JPUniversidad Michoacana de San Nicolás de Hidalgo · MXUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarbohydrate-active enzymes (CAZymes) form the most widespread and structurally diverse set of enzymes involved in the breakdown, biosynthesis, or modification of lignocellulose that can be found in living organisms. However, the structural diversity of CAZymes has rendered the targeted discovery of novel enzymes extremely challenging, as these proteins catalyze many different chemical reactions and are sourced by a vast array of microbes. Consequently, many uncharacterized members of CAZyme families of interest have been overlooked by current methodologies (e.g., metagenomic screening) used to discover lignocellulolytic enzymes.

resultsIn the present study, we combined phenotype-based selective pressure on the rumen microbiota with targeted functional profiling to guide the discovery of unknown CAZymes. In this study, we found 61 families of glycoside hydrolases (GH) (out of 182 CAZymes) from protein sequences deposited in the CAZy database-currently associated with more than 20,324 microbial genomes. Phenotype-based selective pressure on the rumen microbiome showed that lignocellulolytic bacteria (e.g., Fibrobacter succinogenes, Butyrivibrio proteoclasticus) and three GH families (e.g., GH11, GH13, GH45) exhibited an increased relative abundance in the rumen of feed efficient cattle when compared to their inefficient counterparts. These results paved the way for the application of targeted functional profiling to screen members of the GH11 and GH45 families against a de novo protein reference database comprised of 1184 uncharacterized enzymes, which led to the identification of 18 putative xylanases (GH11) and three putative endoglucanases (GH45). The biochemical proof of the xylanolytic activity of the newly discovered enzyme validated the computational simulations and demonstrated the stability of the most abundant xylanase.

conclusionsThese findings contribute to the discovery of novel enzymes for the breakdown, biosynthesis, or modification of lignocellulose and demonstrate that the rumen microbiome is a source of promising enzyme candidates for the biotechnology industry. The combined approaches conceptualized in this study can be adapted to any microbial environment, provided that the targeted microbiome is easy to manipulate and facilitates enrichment for the microbes of interest. Video Abstract.

Indexed as

MicrobiotaRumenAnimalsCattleGlycoside HydrolasesMetagenomeMetagenomicsGlycoside HydrolasesCattleFeed efficiencyMicrobial enzymesRumen microbiota

Identifiers

PMID34814938
PMCPMC8609826
OpenAlexW3215310686

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.