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  • Efficient and cost-effective Bacterial mRNA sequencing causing ribosomal RNA depletion

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Efficient and cost-effective Bacterial mRNA sequencing causing ribosomal RNA depletion

bioxone October 19, 2020October 18, 2020

Saptaparna Pal, Amity University Kolkata

Bacterial messenger RNA (mRNA) sequencing gives a snapshot of the genomic wide state of microbial population and hence provides a fundamental understanding of these varied phenotypes and microbial functions. Entire RNA isolated from the bacterial cells contains greater than 95% ribosomal RNA, and therefore it is cost-effective and high coverage sequencing of transcriptome requires the development of efficient strategies to deplete abundant 5s, 16s, 23s rRNA molecules. Several commercial kits had been developed to evolve bacterial RNA from total RNA sample, including the MICROBE express Bacterial mRNA enrichment unit, The Ribo-minus Transcriptome Isolation Unit, and the Ribo-Zero rRNA Depletion Unit.

Further, these commercial kits, are only effective on species targeted in the standard probe set. While the limitations of pre-designed kits had been overcome through the development of workflow to create custom subtractive hybridization probe sets for any species of interest. EMBR-seq is a fruitful and cost-effective Bacterial mRNA sequencing technology. It also allows mRNA sequencing from low input total RNA. EMBR-seq efficiently depletes RNA to sequence bacterial mRNA. EMBR-seq only requires primers at the 3’end of 5s, 16s, 23s rRNA followed by poly-adenylation with E Coli poly-A polymerase. To deplete, rRNA, EMBRseq only requires primers at the 3’end of the rRNA unlike recent methods tile the oligonucleotide along the entire length of rRNA molecules thereby reducing costs and making the approach more easily translated to other bacterial species. This EMBRseq provides a detailed view of the transcriptome without introducing technical issues.

The rRNA depletion efficiency of EMBRseq can be further improved through additional primers. EMBR sequencing effectively depleted rRNA derived reads compared to control samples from the 3’end of rRNA molecules, specific hotspots regions along the entire length of 16s and 23s rRNA were abundant in the rRNA capture profile. EMBRseq also gives a more in-depth view of the transcriptional landscape without initiation of technical artefacts.

Finally, EMBRseq effectively captures the transcriptome from 500-fold lower starting total RNA compared to the commercial kits thereby providing a powerful new approach to investigate gene expression pattern in rare and non-cultivable bacterial species. 

Also read: Disease tolerance mechanism in sepsis patients identified!

You may also read: Efficient and cost-effective bacterial mRNA sequencing from low input samples through ribosomal RNA depletion

Chatarin Wangsanuwat, Kellie A. Heom, Estella Liu, Michelle A. O’Malley, Siddharth S. DeybioRxiv 2020.06.19.162412; doi: https://doi.org/10.1101/2020.06.19.162412

  • The Corrosion Prediction from the Corrosion Product Performance
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  • Cell Senescence in Type II Diabetes: Therapeutic Potential
  • Transgene-Free Canker-Resistant Citrus sinensis with Cas12/RNP
  • AI Literacy in Early Childhood Education: Challenges and Opportunities

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Tagged 23s rRNA EMBR-seq hybridization probe microbial phenotype poly-A polymerase polyadenylation RNA sample rRNA depletion rRNA sequencing transcriptome varied phenotypes

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bioxone October 19, 2020

Rishaanko Pyne, Amity University Kolkata What are Circadian Rhythms? Circadian rhythms (circa = about; dies = day) are an integral part of eukaryotic life, they are endogenous, inducible biological processes that oscillate over a 24-hour cycle following the circadian environment of the earth. It allows the coordination of biological and behavioral processes with the external […]

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WASTEWATER – A MEDIUM TO TRACK COVID-19

bioxone September 23, 2020September 23, 2020

-Ruchita Karmakar, Amity University Kolkata Researchers extracted the nucleic acid from the sludge solid and used the reverse transcription-quantitative PCR (RT-qPCR) to find the N1 and N2 gene that targets SARs-CoV2. They successfully detected the pathogen in all samples of wastewater. A high-resolution data-set, better than influent and the statistical analysis, emerged from examining wastewater. […]

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The Corrosion Prediction from the Corrosion Product Performance

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