Microbial Sequencing

Microbial Sequencing

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Microbial Sequencing

Ribosomal DNA is the most widely polymorphic sequence in microorganisms ( bacteria and eukaryotes ) and is highly efficient in species ( genus ) identification. NGS provides an assessment of the overall microbial profile, including species composition and abundance, in environmental samples.

CD Genomics is committed to providing efficient and high quality microbial sequencing services to our clients. We have extensive experience in extracting nucleic acids from a wide range of environmental or difficult samples, including fecal, soil, water, air, plant and animal surface and in vivo samples, and we have a diverse range of analyses to better support research in the plant and animal fields. Our NGS technologies for microbial sequencing include metagenomics sequencing and 16S and ITS rRNA sequencing.

How to provide agricultural research using microbial sequencing

In animal research, microbial sequencing can be used to elucidate the distribution of animal intestinal flora, dominant genera and differential flora in different gastrointestinal tract sites, explore animal digestion mechanisms and intestinal flora-host relationships, and provide technical and theoretical support for animal intestinal disease control, animal health breeding, and feed formulation development. In addition, in aquaculture, hydrological environmental microorganisms are equally important for sustainable aquaculture research.

In plant research, since soil is an important living environment for plants, soil microorganisms have important research value in agriculture and are closely related to nutrient cycling and health of plants. Therefore, we can provide theoretical support for plant breeding by exploring the huge microbial resources in inter-root soils and revealing important regulatory mechanisms such as soil nutrient cycling and inter-root microbial interactions.

We offer microbial sequencing technology that can be applied in the following agro-pastoral studies.

  • Soil and hydrological environment investigation
  • Compost treatment
  • Anaerobic digestion
  • Animal nutrition
  • Identification of pathogens and plant diseases
  • Breeding for disease resistance

Sample type

  • Soil
  • Water samples
  • Plant and animal tissue

Microbial sequencing service workflow

Fig. 2. Microbial sequencing service workflow - CD Genomics

Our advantages and features

  • Strict and standardized experimental procedures to ensure the reliability and reproducibility of experimental results.
  • Shorter experimental cycle and cost-effective services.
  • Full technical support service to solve any questions in the progress of customers' projects.
  • Simplified experimental operation, no need to build complex gene libraries.
  • PCR products can be sequenced directly, with stable and reproducible results and short experimental cycle time.
  • The sequencing data is easy to be analyzed by bioinformatics later, and the experimental results can reflect the characteristics of the colonies in the environment more comprehensively.

CD Genomics provides NGS technology to analyze the differences in microbial diversity in different environmental samples, while our high-throughput sequencing has huge data information, which can further statistical analysis of the main factors affecting microbial communities and diversity in different environments. This provides a reliable basis for optimizing community structure and regulating community function, and provides technical and theoretical support for agricultural research to better promote the development of agriculture. Our team of experts is always able to provide efficient and accurate sequencing services to our customers, and has been a reliable partner for them. If you are interested in us, please feel free to contact us. We look forward to cooperating with you.

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CD Genomics is propelling the future of agriculture by employing cutting-edge sequencing and genotyping technologies to predict and enhance multiple complex polygenic traits within breeding populations.

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