Fish microbiomics: Strengths and limitations of MinION sequencing of gilthead sea bream (Sparus aurata) intestinal microbiota

被引:11
作者
Toxqui-Rodriguez, Socorro [1 ,2 ]
Naya-Catala, Fernando [2 ]
Sitja-Bobadilla, Ariadna [1 ]
Piazzon, M. Carla [1 ]
Perez-Sanchez, Jaume [2 ]
机构
[1] CSIC, Inst Aquaculture Torre Sal, Fish Pathol Grp, Castellon de La Plana 12595, Spain
[2] CSIC, Inst Aquaculture Torre Sal, Nutrigen & Fish Growth Endocrinol Grp, Castellon de La Plana 12595, Spain
关键词
Microbiota; Aquaculture; 16S rRNA; MinION; Illumina MiSeq; Sequencing platform; RIBOSOMAL-RNA GENES; BIAS;
D O I
10.1016/j.aquaculture.2023.739388
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
There are several affordable methods involving different sequencing technologies for microbial characterization. However, the choice of the sequencing platform and the downstream analysis can yield somewhat different results. Here we aimed to examine the strengths and limitations of different sequencing platforms for their use in aquacultured fish gut mucosal samples, using gilthead sea bream (Sparus aurata) as a model. The attention was focused on the portable Oxford Nanopore Technologies (ONT) MinION device, which offers the possibility of fast profiling of mucosal microbial samples. The standard PCR protocol provided for the MinION full-length sequencing of the 16S rRNA was optimized (input material, annealing temperature and number of cycles) for fish mucosal samples and the optimized protocol was validated using a standard mock community with known bacterial taxa and abundances. The optimized PCR (annealing temperature 52 degrees C, 30 cycles) yielded highly accurate results when sequencing mock community samples (R2 = 0.95) and was chosen for the subsequent analyses. Finally, the sequencing results were compared to those from Illumina MiSeq sequencing of the V3-V4 region of the 16S rRNA gene to determine strengths and weaknesses from both platforms. Our results showed that MinION is a reliable and accurate tool for the assessment of intestinal bacteria communities, yielding similar results to Illumina with correlation coefficients >0.75. However, biologically important but less abundant taxa (e.g. Actinobacteriota and Bacteroidota) were apparently masked when comparisons were made with the Illumina MiSeq results. We conclude that the choice of sequencing platform depends on the type of sample and scientific question. Thus, when evaluating fish gut mucosal samples, where the biological interpretation focuses on taxa related to gut function and metabolism, Illumina MiSeq allows a broader amplification of taxa of interest, while MinION provides good results in terms of abundance and fast profiling of microbial communities, making it very attractive for studies focused on environmentally-related samples (e.g. gills and skin samples).
引用
收藏
页数:7
相关论文
共 48 条
  • [1] Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries
    Aird, Daniel
    Ross, Michael G.
    Chen, Wei-Sheng
    Danielsson, Maxwell
    Fennell, Timothy
    Russ, Carsten
    Jaffe, David B.
    Nusbaum, Chad
    Gnirke, Andreas
    [J]. GENOME BIOLOGY, 2011, 12 (02)
  • [2] APROMAR, 2020, AQ SPAIN 2020
  • [3] A Comparative Review on Microbiota Manipulation: Lessons From Fish, Plants, Livestock, and Human Research
    Brugman, Sylvia
    Ikeda-Ohtsubo, Wakako
    Braber, Saskia
    Folkerts, Gert
    Pieterse, Corne M. J.
    Bakker, Peter A. H. M.
    [J]. FRONTIERS IN NUTRITION, 2018, 5
  • [4] Biased Diversity Metrics Revealed by Bacterial 16S Pyrotags Derived from Different Primer Sets
    Cai, Lin
    Ye, Lin
    Tong, Amy Hin Yan
    Lok, Si
    Zhang, Tong
    [J]. PLOS ONE, 2013, 8 (01):
  • [5] Storage conditions of intestinal microbiota matter in metagenomic analysis
    Cardona, Silvia
    Eck, Anat
    Cassellas, Montserrat
    Gallart, Milagros
    Alastrue, Carmen
    Dore, Joel
    Azpiroz, Fernando
    Roca, Joaquim
    Guarner, Francisco
    Manichanh, Chaysavanh
    [J]. BMC MICROBIOLOGY, 2012, 12
  • [6] Sex, Age, and Bacteria: How the Intestinal Microbiota Is Modulated in a Protandrous Hermaphrodite Fish
    Carla Piazzon, M.
    Naya-Catala, Fernando
    Simo-Mirabet, Paula
    Picard-Sanchez, Amparo
    Roig, Francisco J.
    Calduch-Giner, Josep A.
    Sitja-Bobadilla, Ariadna
    Perez-Sanchez, Jaume
    [J]. FRONTIERS IN MICROBIOLOGY, 2019, 10
  • [7] A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling
    D'Amore, Rosalinda
    Ijaz, Umer Zeeshan
    Schirmer, Melanie
    Kenny, John G.
    Gregory, Richard
    Darby, Alistair C.
    Shakya, Migun
    Podar, Mircea
    Quince, Christopher
    Hall, Neil
    [J]. BMC GENOMICS, 2016, 17
  • [8] NanoPack: visualizing and processing long-read sequencing data
    De Coster, Wouter
    D'Hert, Svenn
    Schultz, Darrin T.
    Cruts, Marc
    Van Broeckhoven, Christine
    [J]. BIOINFORMATICS, 2018, 34 (15) : 2666 - 2669
  • [9] Impact of Fishmeal Replacement in Diets for Gilthead Sea Bream (Sparus aurata) on the Gastrointestinal Microbiota Determined by Pyrosequencing the 16S rRNA Gene
    Estruch, G.
    Collado, M. C.
    Penaranda, D. S.
    Tomas Vidal, A.
    Jover Cerda, M.
    Perez Martinez, G.
    Martinez-Llorens, S.
    [J]. PLOS ONE, 2015, 10 (08):
  • [10] 16S rRNA gene sequencing of mock microbial populations- impact of DNA extraction method, primer choice and sequencing platform
    Fouhy, Fiona
    Clooney, Adam G.
    Stanton, Catherine
    Claesson, Marcus J.
    Cotter, Paul D.
    [J]. BMC MICROBIOLOGY, 2016, 16