Metatranscriptome refers to the total content of gene transcripts (RNA copies of the genes) in a nature community (i.e. soil, water, sea, feces, and gut), considered as a unique entity, at a specific moment of sampling. Metatranscriptome changes with time and environmental variation. Metatranscriptome sequencing using the next generation sequencing (NGS) now can be applied to obtain the whole expression profile in a community and to follow the dynamics of gene expression patterns over time or environmental parameters, improving our understanding of the structure, function, and adaptive mechanisms in complex communities.
Metatranscriptome sequencing identifies gene expression of microbes, both eukaryotes and prokaryotes, within natural environments. Specifically, this service allows you to obtain whole gene expression profiling of complex microbial communities, taxonomic analysis of species, functional enrichment analysis of differently expressed genes, and more. At Novogene, we also provide a considerate pre-sales evaluation that is tailored for your project and assists you in more easily realizing your research objectives.Service Specifications Demo Reports
Microbial ecology research:
- Functional active bacteria characterization
- Community metabolic interaction
- Immune recognition
- Immune education
- Autoimmune processes trigger
- Biotechnology research
- Extensive experience with thousands of samples being successfully sequenced.
- Unsurpassed data quality with a guaranteed Q30 score ≥ 80% that exceeds Illumina’s official benchmarks.
- Comprehensive analysis using mainstream software and mature in-house pipeline to meet multiple bioinformatic requests.
|Library Type||Sample Type||Amount||RNA Integrity Number
≥ 2.5 μg
≥ 6.5, smooth base line
OD260/280 = 1.8-2.2;
OD260/230 ≥ 1.8;
Sequencing Parameter and Analysis
|Platform||Illumina Novaseq 6000|
|Read length||Pair-end 150|
|Recommended Sequencing Depth||≥40 million read pair per sample for the species with reference genome|
Standard Data Analysis
|Data Quality Control|
|De novo Assembly|
|Gene Functional Annotation|
|rRNA& mRNA Taxonomic Analysis|
|Gene expression quantification & Differential expressed genes profiling & Enrichment analysis|
|Comparative Analysis between Various Samples|
Sample Quality Control
Library Quality Control
Data Quality Control
Cryptophyte farming by symbiotic ciliate host detected in situ
Protist–alga symbiosis is much more widespread in the marine ecosystem than previously thought, both spatially and taxonomically. Field and laboratory observations have documented a wide range of host integration of symbionts, from enslaving transiently kept chloroplasts to permanent intact-cell endosymbionts. However, the degree of host integration and function of endosymbionts in natural plankton assemblages in situ is poorly understood and severely understudied.
Water in long island sound
Library preparation: Directional RNA library
Sequencing: Illumina HiSeq 2000 platform
(A) Photograph of the red tide.
(B) Light microscopic image of the causative ciliate.
(C) 18S rDNA phylogenetic tree verifying that the causative ciliate was M. rubrum.
The Mesodinium-farming-Teleaulax model not only distinguishes itself from the current model of Mesodinium enslaving cryptophyte chloroplasts or the organelle complex, but by promoting the proliferation of the endosymbiotic cells also differs from the conventional whole-cell endosymbiont models in which only binary division synchronous with host division is expected. The ecological significance in each case should be further studied in the future.
Figure 1 Error Rate Distribution
The x-axis shows the base position along each sequencing read and the y-axis shows the base error rate.
Figure 2 GC Content Distribution
Horizontal axis for reads position, vertical axis for single base percentage. Different color for different base type.
Figure 3 Composition of raw data.
Figure 4 Length distribution of transcripts and unigenes.
Figure 5 Species abundance clustering.
Figure 6 Quantification of transcripts.
Figure 7 Volcano diagram of differential expression genes.