2020
DOI: 10.1186/s12864-020-07134-4
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Efficient and cost-effective bacterial mRNA sequencing from low input samples through ribosomal RNA depletion

Abstract: Background RNA sequencing is a powerful approach to quantify the genome-wide distribution of mRNA molecules in a population to gain deeper understanding of cellular functions and phenotypes. However, unlike eukaryotic cells, mRNA sequencing of bacterial samples is more challenging due to the absence of a poly-A tail that typically enables efficient capture and enrichment of mRNA from the abundant rRNA molecules in a cell. Moreover, bacterial cells frequently contain 100-fold lower quantities of RNA compared to… Show more

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Cited by 26 publications
(29 citation statements)
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“…Methods for prokaryotic rRNA depletion vary in efficacy on the basis of microbiome type (biofilm versus planktonic) and composition, and tool development is an active area of research (73). Methods for single-cell prokaryotic rRNA depletion are only beginning to show some success (74,75) and will be useful for interrogating the unique activities of low-abundance organisms as well as the cell-to-cell heterogeneity of gene expression within a given species that is not observable with bulk methods. The identification of optimal spatial locations and time points to discover ecological driver organisms or novel biochemical pathways mediating microbiome functions remains unresolved.…”
Section: Using Metatranscriptomics To Map Organism Identities To Functional Activitiesmentioning
confidence: 99%
“…Methods for prokaryotic rRNA depletion vary in efficacy on the basis of microbiome type (biofilm versus planktonic) and composition, and tool development is an active area of research (73). Methods for single-cell prokaryotic rRNA depletion are only beginning to show some success (74,75) and will be useful for interrogating the unique activities of low-abundance organisms as well as the cell-to-cell heterogeneity of gene expression within a given species that is not observable with bulk methods. The identification of optimal spatial locations and time points to discover ecological driver organisms or novel biochemical pathways mediating microbiome functions remains unresolved.…”
Section: Using Metatranscriptomics To Map Organism Identities To Functional Activitiesmentioning
confidence: 99%
“…Eukaryotic scRNA-seq methods leverage the poly(A) tail of mRNA transcripts for amplification; however, bacteria lack this RNA processing and require alternative enrichment strategies before sequencing. Without enrichment, the signals from abundant rRNAs and tRNAs will obscure the detection of rare transcripts; therefore, the utilization of exonucleases or Cas9 machinery has been implemented to degrade rRNA or tRNA [126,127]. Blocking primers that recognize and bind canonical rRNA sequences can also be used to prevent further reverse transcription [126][127][128].…”
Section: Next-generation Sequencingmentioning
confidence: 99%
“…Without enrichment, the signals from abundant rRNAs and tRNAs will obscure the detection of rare transcripts; therefore, the utilization of exonucleases or Cas9 machinery has been implemented to degrade rRNA or tRNA [126,127]. Blocking primers that recognize and bind canonical rRNA sequences can also be used to prevent further reverse transcription [126][127][128]. These depletion strategies can be complemented by exogenous E. coli poly(A) polymerase I that artificially adds poly(A) tails to facilitate subsequent amplification [127,129].…”
Section: Next-generation Sequencingmentioning
confidence: 99%
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“…However, this method has a relatively low efficiency and is limited by the fact that primary transcripts protected by triphosphate from 5 0phosphate-dependent terminator exonuclease (TEX) may not be a precise representation of mRNA levels in a cell, because a considerable amount of mRNA exists as a processed form. Several methods have been proposed for rRNA removal based on duplex-specific nucleasebased digestion, electrophoretic size selection, and sequence-specific blockage of reverse transcription, although they are not as efficient as commercial systems [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%