Composition and Function of Chicken Gut Microbiota
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Neocallimastix Californiae G1 36,250,970 NA 29,649 95.52 85.2 SRX2598479 (3)
Supplementary material for: Horizontal gene transfer as an indispensable driver for Neocallimastigomycota evolution into a distinct gut-dwelling fungal lineage 1 1 1 2 Chelsea L. Murphy ¶, Noha H. Youssef ¶, Radwa A. Hanafy , MB Couger , Jason E. Stajich3, Y. Wang3, Kristina Baker1, Sumit S. Dagar4, Gareth W. Griffith5, Ibrahim F. Farag1, TM Callaghan6, and Mostafa S. Elshahed1* Table S1. Validation of HGT-identification pipeline using previously published datasets. The frequency of HGT occurrence in the genomes of a filamentous ascomycete and a microsporidian were determined using our pipeline. The results were compared to previously published results. Organism NCBI Assembly Reference Method used Value Value accession number to original in the original reported obtained study study in this study Colletotrichum GCA_000149035.1 (1) Blast and tree 11 11 graminicola building approaches Encephalitozoon GCA_000277815.3 (2) Blast against 12-22 4 hellem custom database, AI score calculation, and tree building Table S2. Results of transcriptomic sequencing. Accession number Genus Species Strain Number of Assembled Predicted peptides % genome Ref. reads transcriptsa (Longest Orfs)b completenessc coveraged (%) Anaeromyces contortus C3G 33,374,692 50,577 22,187 96.55 GGWR00000000 This study Anaeromyces contortus C3J 54,320,879 57,658 26,052 97.24 GGWO00000000 This study Anaeromyces contortus G3G 43,154,980 52,929 21,681 91.38 GGWP00000000 This study Anaeromyces contortus Na 42,857,287 47,378 19,386 93.45 GGWN00000000 This study Anaeromyces contortus O2 60,442,723 62,300 27,322 96.9 GGWQ00000000 This study Anaeromyces robustus S4 21,955,935 NA 17,127 92.41 88.7 SRX3329608 (3) Caecomyces sp. -
Gut Microbiota of Frugo-Folivorous Sifakas Across Environments Lydia K
Greene et al. Animal Microbiome (2021) 3:39 Animal Microbiome https://doi.org/10.1186/s42523-021-00093-5 RESEARCH ARTICLE Open Access Gut microbiota of frugo-folivorous sifakas across environments Lydia K. Greene1,2,3* , Marina B. Blanco2,3, Elodi Rambeloson4, Karlis Graubics5,6, Brian Fanelli5,6, Rita R. Colwell5,6 and Christine M. Drea1,3,7 Abstract Background: Captive animals, compared to their wild counterparts, generally harbor imbalanced gut microbiota owing, in part, to their altered diets. This imbalance is particularly striking for folivores that fundamentally rely on gut microbiota for digestion, yet rarely receive sufficient dietary fiber in captivity. We examine the critically endangered Coquerel’s sifaka (Propithecus coquereli), an anatomically specialized, rather than facultative, folivore that consumes a seasonal frugo-folivorous diet in the wild, but is provisioned predominantly with seasonal foliage and orchard vegetables in captivity. Using amplicon and metagenomic sequencing applied to fecal samples collected from two wild and one captive population (each comprising multiple groups), we clarify how dietary variation underlies the perturbational effect of captivity on the structure and function of this species’ gut microbiota. Results: The gut microbiota of wild sifakas varied by study population, most notably in community evenness and in the abundance of diet-associated microbes from Prevotellaeceae and Lachnospiraceae. Nevertheless, the differences among wild subjects were minor compared to those evident between wild and captive sifakas: Unusually, the consortia of captive sifakas were the most diverse, but lacked representation of endemic Bacteroidetes and metagenomic capacity for essential amino-acid biosynthesis. Instead, they were enriched for complex fiber metabolizers from the Firmicutes phylum, for archaeal methanogens, and for several metabolic pathways putatively linked to plant fiber and secondary compound metabolism. -
Health and Disease Gastrointestinal Microbial Population of Turkey
1 Health and Disease 2 3 Gastrointestinal microbial population of turkey (Meleagris gallopavo) affected by 4 Haemorrhagic Enteritis virus 5 Sara D’Andreano (*,†), Armand Sànchez Bonastre (†), Olga Francino (†), Anna Cuscó Martí (*, †), 6 Cristina Lecchi (§), Guido Grilli (§), Davide Giovanardi (#), Fabrizio Ceciliani (§) 7 8 (*) Vetgenomics. Ed Eureka. Parc de Recerca UAB. 08193 Bellaterra, Spain 9 (†) Molecular Genetics Veterinary Service. Veterinary School. Universitat Autònoma de Barcelona. 10 08193 Bellaterra, Spain 11 (§) Department of Veterinary Science. Università di Milano. Via Celoria 10, 20133 Milano 12 (#) Laboratorio Tre Valli. Viale A.Veronesi 5. 37132 San Michele Extra, Verona, Italy 13 14 15 16 17 Correspondig author: Sara D’Andreano ([email protected]), TEL. +34 93 581 25 18 25, FAX. +34 93 581 21 06 1 19 ABSTRACT 20 Haemorrhagic enteritis (HE) is an acute viral disease that affects avian species, particularly turkeys, 21 compromising their commercial production and having a negative effect on animal welfare. Turkey 22 adenovirus 3 (TAdV-3), is the main causal agent of the disease and in this study we considered 23 three groups of turkeys to get two purposes: 1) A preliminary investigation on the microbiota 24 content in the four parts of healthy turkey’s intestine (group A), namely duodenum, jejunum, ileum 25 and ceca were done; 2) an investigation on the relationship between natural infections with this 26 virus and the intestinal microbiota in the jejunum, where HE mostly develops, comparing group A 27 with group B (animals with molecular positivity for the virus and with clinical signs of HE) and 28 group C (animals with molecular positivity for the virus but without clinical signs). -
Journal of Gastroenterology and Hepatology Research
Journal of Gastroenterology and Hepatology Research Online Submissions: http://www.ghrnet.org/index./joghr/ Journal of GHR 2013 December 21 2(12): 885-896 doi:10.6051/j.issn.2224-3992.2013.02.371 ISSN 2224-3992 (print) ISSN 2224-6509 (online) EDITORIAL Metagenomic Study of Human Gastrointestinal Tracts in Health and Diseases Firouz Abbasian, Tayyebeh Saberbaghi Firouz Abbasian, Tayyebeh Saberbaghi, Department of Micro- tracts. Metagenomics is an approach in which whole genome biology, Science and Research campus, Islamic Azad University, contents of a community of (micro) organisms in a niche of interest Tehran, Iran is investigated in order to detect its microbial diversity and also Correspondence to: Firouz Abbasian, Department of Microbiolo- to study special trait(s) of the habitat[1,2]. This technique employs gy, Science and Research campus, Islamic Azad University, Tehran, the hyper-variable sections of special marker genes, especially Iran. the 16S ribosomal RNA (rRNA), to identify microbial diversity. Email: [email protected] Also, this technique is able to detect the functional ability of Telephone:+98-911-136-3088 existing microorganisms in an environment based on the identified Received: September 16, 2013 Revised: September 28, 2013 genes[3]. The metagenomic approach can be used for any natural Accepted: October 2, 2013 environment where microbial genomic sources are available. Published online: December 21, 2013 The Human Microbiome Project is an international study of the microbial communities associated with different parts of our body[4]. ABSTRACT Most of the existing information regarding the microbial diversity of human body and their role in different physiological functions Metagenomics is a new emerged technology used to investigate the of the gastrointestinal tract are based on in vitro or culture based microbial diversity in an environment and to study their function in studies. -
Expanding the Utility of Sequence Comparisons Using Data from Whole Genomes
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.15.908137; this version posted January 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Title: Expanding the utility of sequence comparisons using data from whole genomes Sean Gosselina,*, Matthew S. Fullmera,c,*, Yutian Fenga, and Johann Peter Gogartena,b a Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, 06268-3125, USA bInstitute for Systems Genomics, University of Connecticut, Storrs, CT, 06268-3125, USA c Current address: Bioinformatics Institute, School of Biological Sciences, The University of Auckland, Auckland 1010, New Zealand * Authors contributed equally Corresponding Author: Johann Peter Gogarten, Department of Molecular and Cell Biology, University of Con- necticut, 91 North Eagleville Rd, Storrs, CT, 06268-3125, USA, Email: [email protected]; phone 1 860 486 4061, +ORCID ID: https://orcid.org/0000-0001-6459-6518 bioRxiv preprint doi: https://doi.org/10.1101/2020.01.15.908137; this version posted January 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract Whole genome comparisons based on Average Nucleotide Identities (ANI), and the Genome-to-genome distance calculator have risen to prominence in rapidly classify- ing taxa using whole genome sequences. -
Proteome Specialization of Anaerobic Fungi During Ruminal Degradation of Recalcitrant Plant Fiber
Lawrence Berkeley National Laboratory Recent Work Title Proteome specialization of anaerobic fungi during ruminal degradation of recalcitrant plant fiber. Permalink https://escholarship.org/uc/item/24n3539s Journal The ISME journal, 15(2) ISSN 1751-7362 Authors Hagen, Live H Brooke, Charles G Shaw, Claire A et al. Publication Date 2021-02-01 DOI 10.1038/s41396-020-00769-x Peer reviewed eScholarship.org Powered by the California Digital Library University of California The ISME Journal https://doi.org/10.1038/s41396-020-00769-x ARTICLE Proteome specialization of anaerobic fungi during ruminal degradation of recalcitrant plant fiber 1 2 2 3 4 1 Live H. Hagen ● Charles G. Brooke ● Claire A. Shaw ● Angela D. Norbeck ● Hailan Piao ● Magnus Ø. Arntzen ● 5 6 5 3 6 7,8 Heather M. Olson ● Alex Copeland ● Nancy Isern ● Anil Shukla ● Simon Roux ● Vincent Lombard ● 7,8,9 10 6,11 6 Bernard Henrissat ● Michelle A. O’Malley ● Igor V. Grigoriev ● Susannah G. Tringe ● 12 5 1,13 2 Roderick I. Mackie ● Ljiljana Pasa-Tolic ● Phillip B. Pope ● Matthias Hess Received: 20 January 2020 / Revised: 21 August 2020 / Accepted: 2 September 2020 © The Author(s) 2020. This article is published with open access Abstract The rumen harbors a complex microbial mixture of archaea, bacteria, protozoa, and fungi that efficiently breakdown plant biomass and its complex dietary carbohydrates into soluble sugars that can be fermented and subsequently converted into metabolites and nutrients utilized by the host animal. While rumen bacterial populations have been well documented, only a fraction of the rumen eukarya are taxonomically and functionally characterized, despite the recognition that they contribute to 1234567890();,: 1234567890();,: the cellulolytic phenotype of the rumen microbiota. -
Phylum % Family % Genus %
Supplemental Table 1 Phylum % Family % Genus % Bacteroidaceae 28.40% Bacteroides 28.40% Prevotella 9 15.50% Bacteroidetes 63.20% Prevotellaceae 25.80% Unknown Prevotellaceae 8.10% Tannerellaceae 7.50% Parabacteroides 7.50% Megamonas 7.20% Veillonellaceae 9.40% Megasphaera 2.20% Firmicutes 16.70% Acidaminococcaceae 3.80% Phascolarctobacterium 3.80% Lachnospiraceae 1.90% Blautia 1.00% Succinivibrionaceae 9.70% Anaerobiospirillum 9.60% Proteobacteria 13.80% Burkholderiaceae 1.90% Sutterella 1.90% Enterobacteriaceae 1.80% Escherichia-Shigella 1.70% Fusobacteria 4.00% Fusobacteriaceae 4.00% Fusobacterium 4.00% Actinobacteria 1.40% Bifidobacteriaceae 1.00% Bifidobacterium 1.00% Epsilonbacteraeota 0.70% Verrucomicrobia 0.10% Spirochaetes 0.00% Cyanobacteria 0.00% Deferribacteres 0.00% Supplemental Table 2. ANCOM analysis by source in healthy marmosets Phylum Class Order Family Genus W MITNE MITCL MITB MITA MIT Abundance Bacteroidetes Bacteroidia Bacteroidales Prevotellaceae Prevotella 9 136 10.64% 33.40% 9.44% 25.17% 15.40% Bacteroidetes Bacteroidia Bacteroidales Prevotellaceae Alloprevotella 136 0.00% 2.51% 0.00% 0.00% 0.38% Fusobacteria Fusobacteriia Fusobacteriales Fusobacteriaceae Fusobacterium 136 5.01% 3.96% 1.63% 8.24% 4.13% Proteobacteria Gammaproteobacteria Aeromonadales Succinivibrionaceae Anaerobiospirillum 136 13.77% 1.47% 8.50% 10.17% 9.77% Proteobacteria Gammaproteobacteria Enterobacteriales Enterobacteriaceae Escherichia-Shigella 136 0.13% 3.16% 0.61% 4.92% 1.30% Firmicutes Clostridia Clostridiales Lachnospiraceae Blautia 133 0.80%