Do we need a standardized 16S rRNA gene amplicon sequencing analysis protocol for poultry microbiota research?

被引:0
作者
Lyte, Joshua M. [1 ]
Seyoum, Mitiku M. [2 ]
Ayala, Diana [3 ]
Kers, Jannigje G. [4 ,5 ]
Caputi, Valentina [1 ]
Johnson, Timothy [6 ]
Zhang, Li [7 ]
Rehberger, Joshua [8 ]
Zhang, Guolong [9 ]
Dridi, Sami [2 ]
Halei, Brett [10 ]
De Oliveira, Jean E. [11 ]
Grum, Daniel [3 ]
Smith, Alexandra H. [7 ]
Kogut, Michael [12 ]
Rickel, Steven C. [13 ]
Ballou, Anne [14 ]
Potter, Bill [2 ]
Proszkowiec-Weglarzn, Monika [15 ]
机构
[1] ARS, USDA, Poultry Prod & Prod Safety Res, Fayetteville, AR 72701 USA
[2] Univ Arkansas, Ctr Excellence Poultry Sci, Fayetteville, AR 72701 USA
[3] Purina Anim Nutr Ctr, Gray Summit, MO 63039 USA
[4] Univ Utrecht, Fac Vet Med, Utrecht, Netherlands
[5] Wageningen Univ & Res, Lab Microbiol, Wageningen, Netherlands
[6] Univ Minnesota, St Paul, MN 55108 USA
[7] Mississippi State Univ, Mississippi State, MS 39762 USA
[8] Arm & Hammer Anim Nutr, Waukesha, WI 53186 USA
[9] Oklahoma State Univ, Dept Anim & Food Sci, Stillwater, OK 74078 USA
[10] AgriGro, Doniphan, MO USA
[11] Cargill R&D Ctr Europe, Vilvoorde, Belgium
[12] ARS, USDA, Southern Plains Agr Res Ctr, College Stn, TX 77845 USA
[13] Univ Wisconsin, Dept Anim & Dairy Sci, Madison, WI 53706 USA
[14] Iluma Alliance, Durham, NC 27703 USA
[15] ARS, USDA, Beltsville Agr Res Ctr, Anim Biosci & Biotechnol Lab, Beltsville, MD 20705 USA
关键词
16S rRNA gene sequencing; Standardized protocol; Next-generation sequencing; Poultry; Microbiota; GASTROINTESTINAL-TRACT; INTESTINAL MICROBIOTA; GUT MICROBIOTA; DATABASE; DNA; BACTERIA; PCR; SUPPLEMENTATION; IDENTIFICATION; CONTAMINATION;
D O I
10.1016/j.psj.2025.105242
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Bacteria are the major component of poultry gastrointestinal tract (GIT) microbiota and play an important role in host health, nutrition, physiology regulation, intestinal development, and growth. Bacterial community profiling based on the 16S ribosomal RNA (rRNA) gene amplicon sequencing approach has become the most popular method to determine the taxonomic composition and diversity of the poultry microbiota. The 16S rRNA gene profiling involves numerous steps, including sample collection and storage, DNA isolation, 16S rRNA gene primer selection, Polymerase Chain Reaction (PCR), library preparation, sequencing, raw sequencing reads processing, taxonomic classification, alpha- and beta-diversity calculations, and statistical analysis. However, there is currently no standardized protocol for 16S rRNA gene analysis profiling and data deposition for poultry microbiota studies. Variations in DNA storage and isolation, primer design, and library preparation are known to introduce biases, affecting community structure and microbial population analysis leading to over- or underrepresentation of individual bacteria within communities. Additionally, different sequencing platforms, bioinformatics pipeline, and taxonomic database selection can affect classification and determination of the microbial taxa. Moreover, detailed experimental design and DNA processing and sequencing methods are often inadequately reported in poultry 16S rRNA gene sequencing studies. Consequently, poultry microbiota results are often difficult to reproduce and compare across studies. This manuscript reviews current practices in profiling poultry microbiota using 16S rRNA gene amplicon sequencing and proposes the development of guidelines for protocol for 16S rRNA gene sequencing that spans from sample collection through data deposition to achieve more reliable data comparisons across studies and allow for comparisons and/or interpretations of poultry studies conducted worldwide.
引用
收藏
页数:22
相关论文
共 233 条
[1]   Assessment of two DNA extraction kits for profiling poultry respiratory microbiota from multiple sample types [J].
Abundo, Michael E. C. ;
Ngunjiri, John M. ;
Taylor, Kara J. M. ;
Ji, Hana ;
Ghorbani, Amir ;
Mahesh, K. C. ;
Weber, Bonnie P. ;
Johnson, Timothy J. ;
Lee, Chang-Won .
PLOS ONE, 2021, 16 (01)
[2]   Characterization of the Culturable Subpopulations of Lactobacillus in the Chicken Intestinal Tract as a Resource for Probiotic Development [J].
Adhikari, Bishnu ;
Kwon, Young M. .
FRONTIERS IN MICROBIOLOGY, 2017, 8
[3]  
AITCHISON J, 1986, STAT ANAL COMPOSITIO
[4]   A comparison of sequencing platforms and bioinformatics pipelines for compositional analysis of the gut microbiome [J].
Allali, Imane ;
Arnold, Jason W. ;
Roach, Jeffrey ;
Cadenas, Maria Belen ;
Butz, Natasha ;
Hassan, Hosni M. ;
Koci, Matthew ;
Ballou, Anne ;
Mendoza, Mary ;
Ali, Rizwana ;
Azcarate-Peril, M. Andrea .
BMC MICROBIOLOGY, 2017, 17
[5]   Benchmarking taxonomic assignments based on 16S rRNA gene profiling of the microbiota from commonly sampled environments [J].
Almeida, Alexandre ;
Mitchell, Alex L. ;
Tarkowska, Aleksandra ;
Finn, Robert D. .
GIGASCIENCE, 2018, 7 (05)
[6]   Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns [J].
Amir, Amnon ;
McDonald, Daniel ;
Navas-Molina, Jose A. ;
Kopylova, Evguenia ;
Morton, James T. ;
Xu, Zhenjiang Zech ;
Kightley, Eric P. ;
Thompson, Luke R. ;
Hyde, Embriette R. ;
Gonzalez, Antonio ;
Knight, Rob .
MSYSTEMS, 2017, 2 (02)
[7]  
Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1111/j.1442-9993.2001.01070.pp.x
[8]   A reasonable correlation between cloacal and cecal microbiomes in broiler chickens [J].
Andreani, Nadia A. ;
Donaldson, Caroline J. ;
Goddard, Matthew .
POULTRY SCIENCE, 2020, 99 (11) :6062-6070
[9]   Applications and Comparison of Dimensionality Reduction Methods for Microbiome Data [J].
Armstrong, George ;
Rahman, Gibraan ;
Martino, Cameron ;
McDonald, Daniel ;
Gonzalez, Antonio ;
Mishne, Gal ;
Knight, Rob .
FRONTIERS IN BIOINFORMATICS, 2022, 2
[10]   Poultry gut health - microbiome functions, environmental impacts, microbiome engineering and advancements in characterization technologies [J].
Aruwa, Christiana Eleojo ;
Pillay, Charlene ;
Nyaga, Martin M. ;
Sabiu, Saheed .
JOURNAL OF ANIMAL SCIENCE AND BIOTECHNOLOGY, 2021, 12 (01)