Literature DB >> 33406075

Assessment of two DNA extraction kits for profiling poultry respiratory microbiota from multiple sample types.

Michael E C Abundo1,2, John M Ngunjiri1, Kara J M Taylor1, Hana Ji1, Amir Ghorbani1,2, Mahesh K C1,2, Bonnie P Weber3, Timothy J Johnson3,4, Chang-Won Lee1,2.   

Abstract

Characterization of poultry microbiota is becoming increasingly important due to the growing need for microbiome-based interventions to improve poultry health and production performance. However, the lack of standardized protocols for sampling, sample processing, DNA extraction, sequencing, and bioinformatic analysis can hinder data comparison between studies. Here, we investigated how the DNA extraction process affects microbial community compositions and diversity metrics in different chicken respiratory sample types including choanal and tracheal swabs, nasal cavity and tracheal washes, and lower respiratory lavage. We did a side-by-side comparison of the performances of Qiagen DNeasy blood and tissue (BT) and ZymoBIOMICS DNA Miniprep (ZB) kits. In general, samples extracted with the BT kit yielded higher concentrations of total DNA while those extracted with the ZB kit contained higher numbers of bacterial 16S rRNA gene copies per unit volume. Therefore, the samples were normalized to equal amounts of 16S rRNA gene copies prior to sequencing. For each sample type, all predominant bacterial taxa detected in samples extracted with one kit were present in replicate samples extracted with the other kit and did not show significant differences at the class level. However, a few differentially abundant shared taxa were observed at family and genus levels. Furthermore, between-kit differences in alpha and beta diversity metrics at the amplicon sequence variant level were statistically indistinguishable. Therefore, both kits perform similarly in terms of 16S rRNA gene-based poultry microbiome analysis for the sample types analyzed in this study.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 33406075      PMCID: PMC7787465          DOI: 10.1371/journal.pone.0241732

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  50 in total

1.  Ecology. Dipping into the rare biosphere.

Authors:  Carlos Pedrós-Alió
Journal:  Science       Date:  2007-01-12       Impact factor: 47.728

2.  A Consistent and Predictable Commercial Broiler Chicken Bacterial Microbiota in Antibiotic-Free Production Displays Strong Correlations with Performance.

Authors:  Timothy J Johnson; Bonnie P Youmans; Sally Noll; Carol Cardona; Nicholas P Evans; T Peter Karnezos; John M Ngunjiri; Michael C Abundo; Chang-Won Lee
Journal:  Appl Environ Microbiol       Date:  2018-05-31       Impact factor: 4.792

3.  Measurement of 8-OHdG in DNA by HPLC/ECD: the importance of DNA purity.

Authors:  G M Laws; S P Adams
Journal:  Biotechniques       Date:  1996-01       Impact factor: 1.993

4.  Comparison of DNA extraction methods for human gut microbial community profiling.

Authors:  Mi Young Lim; Eun-Ji Song; Sang Ho Kim; Jangwon Lee; Young-Do Nam
Journal:  Syst Appl Microbiol       Date:  2017-12-21       Impact factor: 4.022

5.  Long-term effects of early life microbiota disturbance on adaptive immunity in laying hens.

Authors:  K Simon; M B Verwoolde; J Zhang; H Smidt; G de Vries Reilingh; B Kemp; A Lammers
Journal:  Poult Sci       Date:  2016-03-14       Impact factor: 3.352

6.  The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies.

Authors:  J Paul Brooks; David J Edwards; Michael D Harwich; Maria C Rivera; Jennifer M Fettweis; Myrna G Serrano; Robert A Reris; Nihar U Sheth; Bernice Huang; Philippe Girerd; Jerome F Strauss; Kimberly K Jefferson; Gregory A Buck
Journal:  BMC Microbiol       Date:  2015-03-21       Impact factor: 3.605

7.  Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data.

Authors:  Nicole M Davis; Diana M Proctor; Susan P Holmes; David A Relman; Benjamin J Callahan
Journal:  Microbiome       Date:  2018-12-17       Impact factor: 14.650

8.  The SILVA ribosomal RNA gene database project: improved data processing and web-based tools.

Authors:  Christian Quast; Elmar Pruesse; Pelin Yilmaz; Jan Gerken; Timmy Schweer; Pablo Yarza; Jörg Peplies; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2012-11-28       Impact factor: 16.971

9.  A guide to enterotypes across the human body: meta-analysis of microbial community structures in human microbiome datasets.

Authors:  Omry Koren; Dan Knights; Antonio Gonzalez; Levi Waldron; Nicola Segata; Rob Knight; Curtis Huttenhower; Ruth E Ley
Journal:  PLoS Comput Biol       Date:  2013-01-10       Impact factor: 4.475

10.  Conditionally Rare Taxa Contribute but Do Not Account for Changes in Soil Prokaryotic Community Structure.

Authors:  Rachel Kaminsky; Sergio E Morales
Journal:  Front Microbiol       Date:  2018-04-27       Impact factor: 5.640

View more
  6 in total

Review 1.  The Airway Pathobiome in Complex Respiratory Diseases: A Perspective in Domestic Animals.

Authors:  Núria Mach; Eric Baranowski; Laurent Xavier Nouvel; Christine Citti
Journal:  Front Cell Infect Microbiol       Date:  2021-05-14       Impact factor: 5.293

2.  Standardization of SYBR Green-Based Real-Time PCR Through the Evaluation of Different Thresholds for Different Skin Layers: An Accuracy Study and Track of the Transmission Potential of Multibacillary and Paucibacillary Leprosy Patients.

Authors:  Lais Sevilha-Santos; Selma Regina Penha Silva Cerqueira; Ciro Martins Gomes
Journal:  Front Microbiol       Date:  2021-12-07       Impact factor: 5.640

3.  Influenza A virus infection in turkeys induces respiratory and enteric bacterial dysbiosis correlating with cytokine gene expression.

Authors:  John M Ngunjiri; Kara J M Taylor; Hana Ji; Michael C Abundo; Amir Ghorbani; Mahesh Kc; Chang-Won Lee
Journal:  PeerJ       Date:  2021-07-22       Impact factor: 2.984

Review 4.  Centennial Review: Factors affecting the chicken gastrointestinal microbial composition and their association with gut health and productive performance.

Authors:  Yugal Raj Bindari; Priscilla F Gerber
Journal:  Poult Sci       Date:  2021-11-21       Impact factor: 3.352

5.  Development of an efficient antimicrobial susceptibility testing method with species identification by Nanopore sequencing of 16S rRNA amplicons.

Authors:  Yuto Kawai; Naoya Ozawa; Takako Fukuda; Noriyuki Suzuki; Kazuki Mikata
Journal:  PLoS One       Date:  2022-02-03       Impact factor: 3.240

6.  Rational Use of Danofloxacin for Treatment of Mycoplasma gallisepticum in Chickens Based on the Clinical Breakpoint and Lung Microbiota Shift.

Authors:  Shuge Wang; Anxiong Huang; Yufeng Gu; Jun Li; Lingli Huang; Xu Wang; Yanfei Tao; Zhenli Liu; Congming Wu; Zonghui Yuan; Haihong Hao
Journal:  Antibiotics (Basel)       Date:  2022-03-17
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.