Literature DB >> 27508247

16S rRNA amplicon sequencing dataset for conventionalized and conventionally raised zebrafish larvae.

Daniel J Davis1, Elizabeth C Bryda1, Catherine H Gillespie1, Aaron C Ericsson2.   

Abstract

Data presented here contains metagenomic analysis regarding the sequential conventionalization of germ-free zebrafish embryos. Zebrafish embryos that underwent a germ-free sterilization process immediately after fertilization were promptly exposed to and raised to larval stage in conventional fish water. At 6 days postfertilization (dpf), these "conventionalized" larvae were compared to zebrafish larvae that were raised in conventional fish water never undergoing the initial sterilization process. Bacterial 16S rRNA amplicon sequencing was performed on DNA isolated from homogenates of the larvae revealing distinct microbiota variations between the two groups. The dataset described here is also related to the research article entitled "Microbial modulation of behavior and stress responses in zebrafish larvae" (Davis et al., 2016) [1].

Entities:  

Keywords:  16S rRNA sequencing; Gnotobiotic; Microbiome; Microbiota; Zebrafish larvae

Year:  2016        PMID: 27508247      PMCID: PMC4961299          DOI: 10.1016/j.dib.2016.06.057

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table

Microbial DNA extraction and amplification via PCR Bacterial 16S rRNA amplicon sequencing Trimming, filtering, and annotation of sequence data

Value of the data

The data presented here can be used as justification for the use of zebrafish larvae as a model species in gnotobiotic research. These data are valuable in illustrating the consistency of microbial taxa present within a given group of larvae. These data will be of use in the selection of an appropriate methodology to generate gnotobiotic zebrafish larvae.

Data

Data presented here represent results of 16S rRNA sequencing of V4 region amplicons, generated using the Illumina MiSeq platform. Data are presented at the taxonomic levels of phylum, family, and operational taxonomic unit, and represent an average coverage of 4235 reads per sample (Table 1). This paper contains data related to the research concurrently published in Davis et al. [1].
Table 1

Operational taxonomic units detected in 6 dpf conventionalized and conventionally-raised zebrafish larvae.

Conventionalized
Conventionally-raised
PhylumFamilyOperational taxonomic unitMean (%)SEM (%)Prevelance (%)Mean (%)SEM (%)Prevelance (%)

No blast hit;Other2.690.391002.220.19100
ActinobacteriaMicrobacteriaceaeFamily Microbacteriaceae0.000.0000.000.0025
MycobacteriaceaeMycobacterium sp.0.000.0000.020.01100
BifidobacteriaceaeBifidobacterium sp.0.020.02250.000.000
unclassifiedOrder Solirubrobacterales1.820.191001.080.05100
BacteroidetesunclassifiedOrder Bacteroidales0.460.161000.130.03100
BacteroidaceaeBacteroides sp.0.290.26500.310.12100
Bacteroides acidifaciens0.030.03250.010.0150
PorphyromonadaceaeParabacteroides sp.0.250.22500.040.0275
PrevotellaceaeFamily Prevotellaceae0.050.03500.060.0450
Prevotella sp.0.000.0000.010.0125
RikenellaceaeFamily Rikenellaceae0.150.06750.020.0175
S24-7Family S24-71.100.911000.140.05100
BarnesiellaceaeFamily Barnesiellaceae0.020.02250.010.0050
ParaprevotellaceaeYRC22 sp.0.000.0000.010.0125
CytophagaceaeFamily Cytophagaceae0.070.04505.050.09100
Emticicia sp.0.000.0000.130.02100
Flectobacillus sp.0.000.0003.190.13100
Hymenobacter sp.0.000.0000.720.05100
Runella sp.0.000.0002.220.12100
Spirosoma sp.0.000.0000.200.03100
CryomorphaceaeFluviicola sp.0.000.0000.050.01100
FlavobacteriaceaeFlavobacterium sp.0.030.03251.050.06100
Flavobacterium columnare0.080.03750.010.0125
WeeksellaceaeChryseobacterium sp.0.000.0000.630.10100
unclassifiedOrder Sphingobacteriales0.150.06752.280.12100
SphingobacteriaceaePedobacter sp.0.210.071001.200.09100
Sphingobacterium multivorum0.000.00017.500.53100
ChitinophagaceaeFamily Chitinophagaceae0.000.0000.040.02100
Sediminibacterium sp.0.060.03500.010.0125
SaprospiraceaeFamily Saprospiraceae0.000.0000.710.07100
Saprospira sp.0.000.0000.140.03100
ChloroflexiSHA-31Family SHA-310.000.0000.110.01100
CyanobacteriaunclassifiedOrder YS20.020.02250.000.000
Order Stramenopiles12.561.221008.960.49100
DeferribacteresDeferribacteraceaeMucispirillum schaedleri0.050.05250.010.0125
FirmicutesStaphylococcaceaeStaphylococcus succinus0.030.03250.000.000
LactobacillaceaeLactobacillus sp.0.030.03250.010.0125
TuricibacteraceaeTuricibacter sp.0.000.0000.000.0025
unclassifiedOrder Clostridiales0.310.20750.270.05100
ClostridiaceaeFamily Clostridiaceae0.020.02250.000.000
Clostridium sp.0.100.10250.040.0250
DehalobacteriaceaeDehalobacterium sp.0.030.03250.000.0025
LachnospiraceaeFamily Lachnospiraceae0.100.04750.070.01100
Coprococcus sp.0.040.04250.020.0150
Coprococcus eutactus0.000.0000.000.0025
Roseburia sp.0.000.0000.010.0150
Ruminococcus gnavus0.000.0000.000.0025
PeptococcaceaeFamily Peptococcaceae0.030.03250.000.000
rc4-4 sp.0.020.02250.000.0025
PeptostreptococcaceaeFamily Peptostreptococcaceae0.020.02250.000.000
RuminococcaceaeFamily Ruminococcaceae0.180.07750.190.04100
Oscillospira sp.0.250.09750.080.02100
Ruminococcus sp.0.000.0000.030.0175
Ruminococcus flavefaciens0.050.03500.000.000
ErysipelotrichaceaeFamily Erysipelotrichaceae0.040.04250.000.000
Allobaculum sp.0.090.09250.000.0025
ProteobacteriaCaulobacteraceaeFamily Caulobacteraceae1.150.251000.140.01100
Asticcacaulis sp.0.000.0000.190.02100
unclassifiedOrder RF320.140.14250.010.0050
Order Rhizobiales0.020.02250.020.00100
AurantimonadaceaeFamily Aurantimonadaceae0.000.0000.080.01100
BradyrhizobiaceaeBosea genosp.0.030.03250.010.0150
HyphomicrobiaceaeHyphomicrobium sp.0.020.02250.030.0175
PhyllobacteriaceaeFamily Phyllobacteriaceae0.030.03250.040.01100
RhizobiaceaeAgrobacterium sp.0.090.06500.050.01100
HyphomonadaceaeFamily Hyphomonadaceae0.000.0000.160.02100
RhodobacteraceaeParacoccus aminovorans0.000.0000.020.0150
Rhodobacter sp.0.030.03250.010.0125
RhodospirillaceaeFamily Rhodospirillaceae0.000.0000.110.01100
Phaeospirillum fulvum0.000.0000.070.02100
unclassifiedOrder Rickettsiales1.000.141000.730.10100
RickettsiaceaeFamily Rickettsiaceae0.220.051000.360.04100
mitochondriaVermamoeba vermiformis0.000.0000.010.0150
SphingomonadaceaeNovosphingobium sp.0.000.0000.000.0025
Sphingomonas sp.0.300.061000.060.03100
Sphingomonas yabuuchiae0.000.0000.160.04100
Class Betaproteobacteria0.140.06750.100.03100
AlcaligenaceaeSutterella sp.0.080.08250.040.01100
ComamonadaceaeFamily Comamonadaceae2.210.1910022.210.38100
Comamonas sp.0.050.03500.150.02100
Limnohabitans sp.1.770.421006.530.08100
Variovorax paradoxus0.130.05750.070.03100
OxalobacteraceaeFamily Oxalobacteraceae0.000.0000.190.02100
Janthinobacterium sp.0.000.0000.010.0125
MethylophilaceaeMethylotenera mobilis0.130.011000.020.0175
RhodocyclaceaeFamily Rhodocyclaceae4.470.261003.160.13100
BdellovibrionaceaeBdellovibrio sp.0.000.0000.250.03100
Bdellovibrio bacteriovorus1.590.131000.430.03100
unclassifiedOrder Myxococcales0.000.0000.030.0175
HelicobacteraceaeFamily Helicobacteraceae0.030.03250.000.000
AlteromonadaceaeCellvibrio sp.0.000.0002.830.18100
ChromatiaceaeRheinheimera sp.61.491.071008.570.36100
CoxiellaceaeFamily Coxiellaceae0.000.0000.010.0150
LegionellaceaeLegionella sp.0.080.03750.010.0150
MoraxellaceaeFamily Moraxellaceae0.000.0000.030.01100
PseudomonadaceaePseudomonas sp.0.400.141000.000.000
Pseudomonas pseudoalcaligenes0.000.0000.040.00100
SinobacteraceaeFamily Sinobacteraceae1.830.261000.690.05100
Nevskia ramosa0.830.171002.710.12100
XanthomonadaceaeStenotrophomonas sp.0.020.02250.010.0050
SpirochaetesSpirochaetaceaeTreponema sp.0.000.0000.010.0125
SynergistetesDethiosulfovibrionaceaeFamily Dethiosulfovibrionaceae0.000.0000.010.0125
TM6unclassifiedClass SBRH580.040.04250.300.04100
TM7F16Family F160.000.0000.000.0025
TenericutesAnaeroplasmataceaeAnaeroplasma sp.0.000.0000.000.0025
unclassifiedOrder RF390.000.0000.020.00100
VerrucomicrobiaunclassifiedOrder HA640.000.0000.010.0125
OpitutaceaeFamily Opitutaceae0.000.0000.090.02100
RFP12Family RFP120.000.0000.020.0225
VerrucomicrobiaceaeAkkermansia muciniphila0.200.20250.090.0575
ThermiDeinococcaceaeDeinococcus sp.0.030.03250.110.02100

Experimental design, materials and methods

Production of conventionalized and conventionally-raised zebrafish larvae

Wild-type zebrafish breeders were placed into a breeding tank overnight to spawn. Embryos were collected immediately after fertilization and evenly divided into separate groups for subsequent treatment. Conventionalized (CV) embryos were generated by following a previously published method [2]. Briefly, embryos were collected in sterile fish water containing 250 mg/mL amphotericin B, 5 µg/mL kanamycin, and 100 µg/mL ampicillin (AB-fish water). After sorting to remove unfertilized embryos, viable embryos were transferred to a tissue culture hood and gently washed 3 times in AB-fish water. Embryos were immersed in 0.1% PVP-Iodine solution for 2 min, and then immediately washed 3 times with sterile fish water. After washing, the embryos were immersed in 0.003% bleach solution for 1 h before being washed an additional 3 times with sterile fish water. Finally, the embryos were transferred into sterile tissue culture flasks containing conventional fish water. Conventionally raised (CR) embryos were transferred and maintained in conventional fish water immediately after collection without undergoing the sterilization process. All zebrafish embryos were maintained in a 28.5 °C incubator and raised at a density of ~1 embryo/mL until larval stage at 6 days postfertilization (dpf).

Microbial DNA extraction and quantification

Microbial DNA was extracted according to a modified previously published protocol [3]. Immediately following euthanasia, 12 zebrafish larvae were aseptically collected into 800 µL of lysis buffer (500 mM NaCl, 50 mM Tris–HCl, 50 mM EDTA, and 4% SDS), homogenized for 3 min in a Qiagen Tissuelyser II, and incubated at 70 °C for 20 min. Following centrifugation at 5000× g for 5 min at room temperature, the supernatant was mixed with 200 µL of 10 mM ammonium acetate, incubated on ice for 5 min, and then centrifuged at 16,000× g for 10 min at room temperature. 750 µL of supernatant was then mixed with an equal volume of chilled isopropanol, and incubated for 30 min on ice. The contents of the tube were then centrifuged at 16,000× g at 4 °C for 15 min to pellet DNA. The pellet was rinsed twice with 70% EtOH and re-suspended in 150 µL of tris-EDTA. 15 µL of proteinase-K and 200 µL of buffer AL (DNeasy kit, Qiagen, Valencia, CA) were then added and tubes were incubated at 70 °C for 10 min. 200 µL of 100% EtOH was then added and the entire contents of the tube were transferred to a Qiagen spin column before continuing with the manufacturer׳s instructions for DNA purification (DNeasy Kit, Qiagen). DNA was eluted in 50 µL of EB buffer (Qiagen). Yield of double-stranded DNA was determined via fluorometry (Qubit 2.0, Life Technologies, Carlsbad, CA) using Qubit® dsDNA BR assay kits (Life Technologies).

Metagenomic library preparation and sequencing

Sequencing of the V4 region of the 16S rRNA gene was performed on the Illumina MiSeq platform. Bacterial 16S rRNA amplicons were constructed by amplification of the V4 hypervariable region of the 16S rRNA gene with single-indexed primers flanked by Illumina standard adapter sequences. Universal primers (U515F/806R) previously developed against the V4 region were used for generating amplicons. Oligonucleotide sequences were obtained at proBase. A single forward primer and reverse primers with unique 12-base indices were used in all reactions. PCR reactions (50 µL) contained 100 ng of genomic DNA, forward and reverse primers (0.2 µM each), dNTPs (200 µM each), and Phusion High-Fidelity DNA Polymerase (1U). PCR amplification was performed as follows: amplification at 98 °C for 3 min, and 25 cycles at 98 °C for denaturation for 15 s, annealing at 50 °C for 30 s, and extension at 72 °C for 30 s, then a final extension at 72 °C for 7 min. Amplified product (5 µL) from each reaction was combined and thoroughly mixed; pooled amplicons were purified by addition of Axygen AxyPrep MagPCR Clean-up beads (50 µL) to an equal volume of 50 µL of amplicons and incubated at room temperature for 15 min. Products were washed multiple times with 80% EtOH and the dried pellet resuspended in Qiagen EB Buffer (32.5 µL), incubated at room temperature for 2 min, and then placed on a magnetic stand for 5 min. Supernatant (30 µL) was transferred to a low-binding microcentrifuge tube for storage. The final amplicon pool was evaluated using the Advanced Analytical Fragment Analyzer automated electrophoresis system, quantified with the Qubit flourometer using the quant-iT HS dsDNA reagent kit, and diluted according to the manufacturer׳s protocol.

Bioinformatics analysis

Assembly, binning, and annotation of DNA sequences were performed at the MU Informatics Research Core Facility (IRCF, Columbia, MO). Briefly, contiguous sequences of DNA were assembled using FLASH software [4] and contigs were culled if found to be short after trimming for a base quality less than 31. Qiime v1.7 [5] software was used to perform de novo and reference-based chimera detection and removal, and remaining contigs were assigned to operational taxonomic units (OTUs) using a criterion of 97% nucleotide identity. Taxonomy was assigned to selected OTUs using BLAST [6] against the Greengenes database [7] of 16S rRNA sequences and taxonomy.
Subject areaBiology
More specific subject areaMicrobiome analysis in zebrafish larvae
Type of dataTable
How data was acquiredIllumina MiSeq
Data formatRaw, analyzed
Experimental factorsReconstitution of sterilized embryos with conventional microbial populations
Experimental features

Microbial DNA extraction and amplification via PCR

Bacterial 16S rRNA amplicon sequencing

Trimming, filtering, and annotation of sequence data

Data source locationColumbia, MO, USA
Latitude: 38.901366 Longitude: −92.2825 Altitude: 246 m
Data accessibilityData is within this article and available via http://www.ncbi.nlm.nih.gov/bioproject/321905
  7 in total

1.  Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.

Authors:  T Z DeSantis; P Hugenholtz; N Larsen; M Rojas; E L Brodie; K Keller; T Huber; D Dalevi; P Hu; G L Andersen
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

2.  Methods for generating and colonizing gnotobiotic zebrafish.

Authors:  Linh N Pham; Michelle Kanther; Ivana Semova; John F Rawls
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

3.  FLASH: fast length adjustment of short reads to improve genome assemblies.

Authors:  Tanja Magoč; Steven L Salzberg
Journal:  Bioinformatics       Date:  2011-09-07       Impact factor: 6.937

Review 4.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Authors:  S F Altschul; T L Madden; A A Schäffer; J Zhang; Z Zhang; W Miller; D J Lipman
Journal:  Nucleic Acids Res       Date:  1997-09-01       Impact factor: 16.971

5.  Using QIIME to analyze 16S rRNA gene sequences from microbial communities.

Authors:  Justin Kuczynski; Jesse Stombaugh; William Anton Walters; Antonio González; J Gregory Caporaso; Rob Knight
Journal:  Curr Protoc Microbiol       Date:  2012-11

6.  Comparative Evaluation of DNA Extraction Methods from Feces of Multiple Host Species for Downstream Next-Generation Sequencing.

Authors:  Marcia L Hart; Alexandra Meyer; Philip J Johnson; Aaron C Ericsson
Journal:  PLoS One       Date:  2015-11-24       Impact factor: 3.240

7.  Microbial modulation of behavior and stress responses in zebrafish larvae.

Authors:  Daniel J Davis; Elizabeth C Bryda; Catherine H Gillespie; Aaron C Ericsson
Journal:  Behav Brain Res       Date:  2016-05-20       Impact factor: 3.332

  7 in total
  3 in total

1.  A Preliminary Assessment of Skin Microbiome Diversity of Zebrafish (Danio rerio): South African Pet Shop Fish.

Authors:  Willem G Coetzer; L M Coetzee; E D Cason; J P Grobler; S R Schneider; C E Boucher
Journal:  Indian J Microbiol       Date:  2020-07-22       Impact factor: 2.461

2.  Inheritance and Establishment of Gut Microbiota in Chickens.

Authors:  Jinmei Ding; Ronghua Dai; Lingyu Yang; Chuan He; Ke Xu; Shuyun Liu; Wenjing Zhao; Lu Xiao; Lingxiao Luo; Yan Zhang; He Meng
Journal:  Front Microbiol       Date:  2017-10-10       Impact factor: 5.640

3.  Dysbiosis and early mortality in zebrafish larvae exposed to subclinical concentrations of streptomycin.

Authors:  Sydney Pindling; Daniella Azulai; Brandon Zheng; Dylan Dahan; Gabriel G Perron
Journal:  FEMS Microbiol Lett       Date:  2018-09-01       Impact factor: 2.742

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.