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Transcriptome Sequencing

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The research object of Transcriptome sequencing is the sum of all RNA that can be transcribed by a specific cell under a certain functional state. Current sequencing technology mainly targets mRNA. Transcriptome sequencing technology can obtain the issue of changes in gene expression levels, discovery of rare transcripts, precise identification of alternative splicing sites, and gene fusions, provide the most comprehensive transcriptome information. Through sequencing, we can obtain almost all transcript sequence information of a specific tissue or organ of a specie under a certain state. which is widely used in species genetic development, improvement, and molecular breeding research. 



Advantage  01
Advantage 01

Library construction typically requires a minimum of 200 ng.

Different library construction strategy can be customized for special samples.

Extensive experience in library construction for pg-level trace samples and difficult-to-extract samples.

Advantage  02
Advantage 02

Rolling circle amplification constructs DNB sequencing library, PCR-free resequencing detects InDels more accurately. No worries about index hopping. Low duplication rate without manual intervention.

Advantage  03
Advantage 03

DNBSEQ-T7 and DNBSEQ-T20 have ultra-high throughput, short cycles, and high cost-effectiveness.

Applications

The Physiological Mechanisms of Growth and Development

The Physiological Mechanisms of Growth and Development

Research on the Pathogenesis of Microbial Infection

Research on the Pathogenesis of Microbial Infection

Complex Diseases Research

Complex Diseases Research

Cancer Research and Biomarkers

Cancer Research and Biomarkers

Drug action Mechanism and Target Point

Drug action Mechanism and Target Point

Immune Response, Stem Cell Research

Immune Response, Stem Cell Research

Molecular Markers

Molecular Markers

Species Comprehensive Transcriptome Atlas

Species Comprehensive Transcriptome Atlas

Adaptive Mechanisms Research in Animals and Plants

Adaptive Mechanisms Research in Animals and Plants

Species Evolution Research

Species Evolution Research

Technical procedure

Sequencing strategy:
PE100/PE150
Recommended data volume:
Starting from 6G
Project execution cycle:
Standard life cycle is 20 work days.

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Case Analysis

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3K Rice Sequencing & Pan-genome Research

Research background
Research Strategy
The 3,010 rice samples (from 89 countries and regions around the world) represent about 95% of the core germplasm diversity of 780,000 rice species worldwide. By whole genome resequencing, with an average sequencing depth of 14X per sample, a total of 32Mb of high-quality SNPs and InDels were detected using the resequencing data. The structure and differentiation of cultivated rice populations in Asia were described in a more detailed and accurate way. The traditional 5 populations were increased to 9, namely, indica rice populations in East Asia (China), indica rice in South Asia, indica rice in Southeast Asia and modern indica rice varieties. Three japonica rice populations, namely temperate japonica rice, tropical japonica rice and subtropical japonica rice in Southeast Asia, as well as Aus and fragrant rice from India and Bangladesh. This study reveals for the first time a large number of microstructural (> 100bp) variations (SVs, including translocations, deletions, inversions, and duplicates) among cultivated rice cultivars in Asia. The SVs of 453 strains with sequencing depth > 20X were studied. The phylogenetic tree constructed by SVs is similar to that of SNPS. A large number of SVs may be the genetic basis of different degrees of hybrid sterility and hybrid decay of XI and GJ. The pan-genome of Asian cultivated rice was constructed, including 12,770 (62.1%) core gene families and 9,050 (37.9%) distributed gene families. 12,000 new full-length genes and thousands of incomplete ones were discovered. The core genes are ancient, and most of the new genes appear younger and shorter in length.
Initially, 3,024 rice samples were sequenced, 14 samples were filtered out for quality control, and 3,010 rice samples were retained for research. The 3K RG sequencing data alignment to the reference genome Nipponbare for detection of SNPs and InDels. The pan-genome was constructed by the Nipponbare genome sequence and the newly assembled genome sequence without redundancy. Perform SVs and PAVs analysis on 453 rice materials with sequencing depth > 20X and alignment depth > 15X.a. PAVs gene family b. The components of a pan-genome and a separate genomec. Simulated pan-genome and core genome based on 500 randomly selected rice genomesd. Proportion of core and distributed gene familiese. Average difference in the number of gene families between two strainsf. 5733 Main group unbalanced gene family characteristics
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