N G S

Metagenomics Sequencing

Metagenomics is the study of variation of species in the genomes of whole microbial community. This study done with the genetic material recovered directly from environmental samples and in complex microbial samples. It covers the broad fields like environmental and eco genomics or community Genomics. In microbial diversity study, it has opened up a new era. It has direct access to the genomes of various uncultivable microorganisms in their natural habitat. 16s rRNA and 18s rRNA sequence Long read of span, multiple variable regions, enabling high-resolution species identification

Metagenomics

We are providing integrated microbial Next Generation Sequencing services with very high quality data. In Fast turnaround time. The advanced microbial specialized automated systems providing efficient and fast sequencing workflow from the various sample sources. Different sequencing platforms are available for this study.

16s rRNA / 18s rRNA Sequencing:

Metagenomic 16s rRNA / 18s rRNA sequencing enables more efficient identification of bacterial diversity and archaeal microbial diversity present in a specific environments.

Whole Genome Shotgun Sequencing:

Metagenomic Whole Genome shotgun sequencing helps to evaluate and to detect the abundance of microbial diversity under various conditions. For this shotgun sequencing, first DNA is purified, and it is randomly sheared into smaller fragments before sequencing.

Benefits:

  • No need to culture the samples (Most microbes are non-culturable)
  • Studying the microbes in their native environments.
  • It helps in detecting novel microbes and genes from the environmental microbial community.
  • High-throughput reads and more accurate data.
  • More Economic and affordable Cost.

Best Suitable NGS Technology for this study:

  • MiSeq system
  • HiSeq2000/2500
  • Ion PGM

Work Flow:

16s / 18s rRNA Metagenomics Sequencing:

Whole Genome Metagenomics Sequencing:

Bioinformatic Analysis:

Bioinformatic1

SILVA provides the comprehensive quality checked and regularly updated datasets of aligned small subunit (16S/18S,SSU) and large subunit (23S/28S, LSU) ribosomal RNA (rRNA) sequences for all the three domains of life such as Bacteria, Archaea and Eukarya.

 

to top