- Species identification
- Gut microbial environment research
- Microbiota diversity
- Difference of species composition
- Highly experienced: We have sequenced over hundreds of thousands of samples, resulting in nearly 30 published articles.
- Outstanding service: We provide high-quality sequencing (with Q30 score ≥75%), an efficient standard workflow, fast turnaround time, and bioinformatics analyses at a cost-effective price.
- Effective methodology: Our method features high amplification efficiency of sample DNA (>95%).
- Comprehensive analysis: We provide expert bioinformatics analyses using the latest sequence databases and software, generating high-quality, publication-ready data.
Sequencing Parameter and Analysis Contents
|Platform Type||Illumina NovaSeq 6000|
|Read Length||Paired-end 250 bp|
|Recommended Sequencing Depth||30K/50K/100K raw reads|
Standard Data Analysis
|Data quality control|
|OTUs cluster and phylogenetic relationship construction|
|Alpha diversity analysis|
|Beta diversity analysis|
|Species T-test analysis|
|MRPP, Anosim, Adonis, Amova analysis|
|Comparative analysis of alpha diversity indices|
|Comparative analysis of beta diversity indices|
Sample Quality Control
Library Quality Control
Data Quality Control
Mix and Purify PCR Products
Gut-dependent microbial translocation induces inflammation and cardiovascular events after ST-elevation myocardial infarction
Post-infarction cardiovascular remodeling and heart failure are the leading cause of myocardial infarction (MI)-driven death for the past decades. Experimental observations have involved intestinal microbiota in the susceptibility to MI in mice; however, in humans, identifying whether translocation of gut bacteria to systemic circulation contributes to cardiovascular events post-MI remains a major challenge.
DNA from 49 healthy people, DNA from 50 people who has stable coronary artery disease (CHD) and 100 people who has ST segment elevation myocardial infarction (STEMI).
Illumina platform, paired-end 250 bp
- Intestinal-associated bacteria is enriched in systemic circulation. Because of the highest translocation products of intestinal bacteria in STEMI patients.
- Intestinal bacterial translocation products are associated with inflammation and left ventricular function.
- Intestinal flora translocation promotes cardiovascular events after STEMI.
Plant growth and oil contamination alter the diversity and composition of bacterial communities in agricultural soils across China
The dynamics of microbial diversity in response to biotic and abiotic disturbances provide a sensitive indicator for evaluating the potential stability and degradation of soils in agro‐ecosystems. To determine the effect on soil bacterial communities of disturbances by plant growth (Robinia pseudoacacia) and oil contamination, we sequenced 16S rRNA genes using MiSeq technology. Abiotic and biotic disturbances, including treating the soils with sterile water, crude oil, and/or an invasive plant, altered the bacterial community structure in the soils, increased bacterial richness, and reduced bacterial dispersion.
DNA extracted from twenty‐one soil samples collected from corn fields in 19 provinces of China.
Illumina platform, paired-end 250bp
The microbial taxa exhibited differential responses to the plant growth and oil contamination, and the assembly of the core microbiome was changed. Moreover, the bacterial communities in the soils from warmer regions were more sensitive to the environmental changes.
The chemodiversity of paddy soil dissolved organic matter correlates with microbial community at continental scales
Paddy soil dissolved organic matter (DOM) represents a major hotspot for soil biogeochemistry, yet we know little about its chemodiversity let alone the microbial community that shapes it. Here, we leveraged ultrahigh-resolution mass spectrometry, amplicon, and metagenomic sequencing to characterize the molecular distribution of DOM and the taxonomic and functional microbial diversity in paddy soils across China. We hypothesized that variances in microbial community significantly associate with changes in soil DOM molecular composition.
DNA extracted from soil samples that were collected from 88 flooded paddy sites across four typical Chinese rice-growing regions in 2014 and 2015.
Illumina platform, paired-end 250 bp
Our study demonstrates the continental-scale distribution of DOM is significantly correlated with the taxonomic profile and metabolic potential of the rice paddy microbiome. Abiotic factors that have a distinct effect on community structure can also influence the chemodiversity of DOM and vice versa.
Results of OTU cluster and annotation analysis
Species abundance heatmap
Taxonomy tree for single sample
Rarefaction curves & rank abundance curves by individual samples
Principal Component Analysis (PCA) based in OTUs