Literature DB >> 35699736

Unique pool of carbohydrate-degrading enzymes in novel bacteria assembled from cow and buffalo rumen metagenomes.

Varsha Bohra1, Hitesh Tikariha2,3, Hemant J Purohit4, Nishant A Dafale5.   

Abstract

Reconstruction of genomes from environmental metagenomes offers an excellent prospect for studying the metabolic potential of organisms resilient to isolation in laboratory conditions. Here, we assembled 12 high-quality metagenome-assembled genomes (MAGs) with an estimated completion of ≥ 90% from cow and buffalo rumen metagenomes. Average nucleotide identity (ANI) score-based screening with an existing database suggests the novelty of these genomes. Gene prediction led to the identification of 30,359 protein-encoding genes (PEGs) across 12 genomes, of which only 44.8% were annotated against a specific functional attribute. Further analysis revealed the presence of 985 carbohydrate-active enzymes (CAZymes) from more than 50 glycoside hydrolase families, of which 90% do not have a proper match in the CAZy database. Genome mining revealed the presence of a high frequency of plant biomass deconstructing genes in Bacteroidetes MAGs compared to Firmicutes. The results strongly indicate that the rumen chamber harbors high numbers of deeply branched and as-yet uncultured microbes that encode novel CAZymes, candidates for prospective usage in plant biomass-hydrolyzing and biofuels industries. KEY POINTS: • Genome binning plays a crucial role in revealing the metabolic potential of uncultivable microbes. • Assembled 12 novel genomes from cow and buffalo rumen metagenome datasets. • High frequency of plant biomass deconstructing genes identified in Bacteroidetes MAGs.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Bacteroidetes; Binning; CAZyme; Firmicutes; Genome; Metagenome-assembled genomes (MAGs)

Mesh:

Substances:

Year:  2022        PMID: 35699736     DOI: 10.1007/s00253-022-12020-y

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  28 in total

1.  Unusual biology across a group comprising more than 15% of domain Bacteria.

Authors:  Christopher T Brown; Laura A Hug; Brian C Thomas; Itai Sharon; Cindy J Castelle; Andrea Singh; Michael J Wilkins; Kelly C Wrighton; Kenneth H Williams; Jillian F Banfield
Journal:  Nature       Date:  2015-06-15       Impact factor: 49.962

2.  Enzymatic saccharification of pretreated rice straw by cellulases from Aspergillus niger BK01.

Authors:  Neeraj Kumar Aggarwal; Varsha Goyal; Anita Saini; Anita Yadav; Ranjan Gupta
Journal:  3 Biotech       Date:  2017-06-16       Impact factor: 2.406

3.  Understanding the alteration in rumen microbiome and CAZymes profile with diet and host through comparative metagenomic approach.

Authors:  Varsha Bohra; Nishant A Dafale; Hemant J Purohit
Journal:  Arch Microbiol       Date:  2019-07-23       Impact factor: 2.552

4.  A new genomic blueprint of the human gut microbiota.

Authors:  Alexandre Almeida; Alex L Mitchell; Miguel Boland; Samuel C Forster; Gregory B Gloor; Aleksandra Tarkowska; Trevor D Lawley; Robert D Finn
Journal:  Nature       Date:  2019-02-11       Impact factor: 49.962

5.  Metagenomic analysis reveals a dynamic microbiome with diversified adaptive functions to utilize high lignocellulosic forages in the cattle rumen.

Authors:  Javad Gharechahi; Mohammad Farhad Vahidi; Mohammad Bahram; Jian-Lin Han; Xue-Zhi Ding; Ghasem Hosseini Salekdeh
Journal:  ISME J       Date:  2020-12-01       Impact factor: 10.302

6.  Metagenomic insights into the rumen microbial fibrolytic enzymes in Indian crossbred cattle fed finger millet straw.

Authors:  V Lyju Jose; Thulasi Appoothy; Ravi P More; A Sha Arun
Journal:  AMB Express       Date:  2017-01-03       Impact factor: 3.298

7.  dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation.

Authors:  Le Huang; Han Zhang; Peizhi Wu; Sarah Entwistle; Xueqiong Li; Tanner Yohe; Haidong Yi; Zhenglu Yang; Yanbin Yin
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

8.  Metatranscriptomics Reveals the Active Bacterial and Eukaryotic Fibrolytic Communities in the Rumen of Dairy Cow Fed a Mixed Diet.

Authors:  Sophie Comtet-Marre; Nicolas Parisot; Pascale Lepercq; Frédérique Chaucheyras-Durand; Pascale Mosoni; Eric Peyretaillade; Ali R Bayat; Kevin J Shingfield; Pierre Peyret; Evelyne Forano
Journal:  Front Microbiol       Date:  2017-01-31       Impact factor: 5.640

9.  High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries.

Authors:  Chirag Jain; Luis M Rodriguez-R; Adam M Phillippy; Konstantinos T Konstantinidis; Srinivas Aluru
Journal:  Nat Commun       Date:  2018-11-30       Impact factor: 14.919

10.  Microbial resolution of whole genome shotgun and 16S amplicon metagenomic sequencing using publicly available NEON data.

Authors:  Kyle D Brumfield; Anwar Huq; Rita R Colwell; James L Olds; Menu B Leddy
Journal:  PLoS One       Date:  2020-02-13       Impact factor: 3.240

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