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AN_ShotgunMetagenomics
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Understand the genetic potential of your community samples
Provides you with hypothesis-free taxonomic analysis
Introduction
Microbiome studies are often based on
the sequencing of specific marker genes
as for instance the prokaryotic 16S rRNA
gene. Such amplicon-based approaches
are well established and widely used.
However, they have limitations such
as the dependency on a single gene to
analyze a whole community, the intro -
duction of PCR bias and the restriction
to describe only the taxonomic compo -
sition and diversity. Shotgun metage -
nomics is a cutting edge technique for
microbiome analysis overcoming said
limitations. Whole genomic DNA of
a sample is isolated, fragmented and
finally sequenced. This allows a detailed
analysis of the taxonomic and functional
composition of a microbial community.
Metagenomics Analysis of Microbiota
by Next Generation Shotgun Sequencing
Microsynth Competences and Services
Microsynth offers a full shotgun
metagenomics service for taxonomic
and functional profiling of clinical, envi -
ronmental or engineered microbiomes.
The service covers the entire process
from experimental design, DNA isola -
tion, tailored sequencing to detailed
and customized bioinformatics analy -
sis. A major advantage of Microsynth’s
shotgun metagenomics service is the
project specific consulting and support
by our experienced NGS specialists.
Experimental Design: Microbiome
profiling by shotgun metagenomics
often means sequencing of numerous
samples generating millions or even
billions of reads. To gain reliable and
high-quality data, a well-planned experi -
mental design including replicates and a
clear scientific hypothesis is essential [1].
Our NGS specialists will assist you from
the beginning.
DNA Isolation: Total DNA is either iso -
lated by the customer or this critical step
is outsourced. Microsynth has over 15
years of experience in nucleic acid iso -
lation from various demanding matrices
such as food, stool, eukaryotic tissues
(plants, animals, human), water or soil.
Tailored NGS Sequencing: Microsynth
will tailor the whole sequencing process
to your project requirements, thus pro -
viding you with just the right amount of
data to answer your questions.
Bioinformatics: Taxonomic and func -
tional analysis of metagenomic data -
sets is challenging. Alignment, binning
and annotation of the large amounts
of sequencing reads require expertise
and sufficient computational power.
Microsynth offers cutting edge bio -
informatics analysis for your shotgun
sequencing data using published and
well-established methods. Our analysis
pipeline will be adjusted to your specific
requirements to guarantee scientifically
reliable results for your project. After
quality processing the reads are aligned
against a protein reference database
(e.g. NCBI nr). Taxonomic and functional
binning and annotation are performed.
The analysis is not restricted to prokar -
yotes but also includes eukaryotes and
viruses. The output comprises all reads,
alignments as well as the taxonomic and
functional annotation. Together with the
raw and processed data, an HTML report
is sent, which facilitates the examination,
filtering and sorting of the data.
Shotgun Metagenomics AnalysisProject Output:
Soil Samples
DNA Isolation
Illumina DNA Library Preparation
Illumina 2 x 150 bp Sequencing
Option I:
Samples
Option II:
Isolated DNA
Project Input:
Report Generation
Option III:
Bioinformatics
only
Experimental Design
Option I:
Library Prep only
Option II:
Raw Data only
Option III:
Full Report
Microsynth AG, SwitzerlandSch?tzenstrasse 15 ? P.O. Box ? CH - 9436 Balgach ? Phone + 41fi71fi722fi83 33 ? Fax + 41fi71fi722fi87 58 ? info @microsynth.ch ? www.microsynth.com
THE SWISS DNA COMPANY Application Note ? Next Generation Sequencing
Microbiome Data Analysis Examples
Microsynth’s analysis pipeline provides
you with full flexibility regarding data
inspection and analysis. It allows you to
analyze and visualize the taxonomic and
functional composition of your micro -
biome dataset in a single user friendly
interface. A major advantage is the pos -
sibility to import metadata such as envi -
ronmental para-meters or experimental
conditions for further statistical analysis.
On all levels, data can easily be exported
in prevalent formats, giving you the pos -
sibility to specifically extract the relevant
information from your dataset and use
the data for downstream analysis and
figure generation. Taxonomic content
can be explored on all ranks from domain
level down to the species level covering
the whole NCBI taxonomy (see Figure 1 ).
Functional annotation is based on differ -
ent functional classification systems such
as InterPro, KEGG, eggNOG or SEED. All
systems contain a functional hierarchy
ranging from general classifications such
as metabolism or cellular functions (see
Figure 2 ) down to single enzymes and
subunits. Beside the analysis of single
samples, multiple sample comparisons
are possible (see Figure 3 ). Samples can
be grouped and metadata information
can be included in the analysis. Various
beta diversity measures can be chosen
for sample comparison.
Further Reading
1. Knight et al. (2012) Unlocking the potential of metagenomics through replicated experimental design,
Nat Biotechnol, 30, 513-520.
Figure 1. Word cloud representing the bacterial composition on the phylum level in a sample. The size of the
words is proportional to the number of assigned reads.
Figure 2. Radial tree chart representing the KEGG functions carbohydrate
metabolism and energy metabolism and the related subgroups. The size
of the sections in each hierarchy is proportional to the number of assigned
reads.
Figure 3. PCoA for multi-sample comparison based on Bray-Curtis dissimilarities for
the InterPro functional annotation.
Related Topics
• 16S Metagenomics Sequencing
• Amplicon Deep Sequencing
• Bioinformatics Services
• DNA/RNA Isolation
Microsynth AG, SwitzerlandSch?tzenstrasse 15 ? P.O. Box ? CH - 9436 Balgach ? Phone + 41fi71fi722fi83 33 ? Fax + 41fi71fi722fi87 58 ? info @microsynth.ch ? www.microsynth.com
THE SWISS DNA COMPANY Application Note ? Next Generation Sequencing
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Date d'upload du document :
mardi 24 mai 2022