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| Status |
Public on Sep 29, 2023 |
| Title |
Bacterial mRNA sequencing through targeted rRNA depletion for efficient RNA-seq in varied species and co-cultures |
| Organisms |
Escherichia coli; Fibrobacter succinogenes; Geobacter metallireducens; Anaeromyces robustus; Caecomyces churrovis |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
mRNA sequencing in bacteria is challenging due to the abundance of ribosomal rRNA that cannot be easily removed prior to sequencing. While commercially available kits target specific rRNA sequences found in defined lists of common bacterial species, they are frequently inefficient when applied to other divergent species, including those from environmental isolates. Similar to the commercial kits, other common techniques for rRNA depletion typically employ large probe sets that tile full-length rRNA sequences; however, such approaches are both time consuming and expensive when applied to multiple species or complex consortia of non-model microbes. To overcome these limitations, we present EMBR-seq+, which employs less than twenty target oligonucleotides per rRNA molecule, and builds upon our previous rRNA depletion approach, EMBR-seq, through the addition of an RNase H depletion step, to achieve rRNA removal efficiencies of up to 99%. First, we applied EMBR-seq+ to monocultures of Escherichia coli, Geobacter metallireducens, and Fibrobacter succinogenes strain UWB7 to deplete rRNA to approximately 1-7% of the sequencing reads, demonstrating that the new method can be easily extended to diverse bacterial species. Further, in more complex co-cultures between F. succinogenes strain UWB7 and anerobic fungal species, we applied EMBR-seq+ to deplete both bacterial and fungal rRNA, with an approximately 4-fold improved bacterial rRNA depletion efficiency compared to a previous report using a commercial kit, thereby showing that the method can be effectively translated to non-model microbial mixtures. Notably, we also demonstrate that for microbial species with poorly annotated genomes and unknown rRNA sequences, the RNase H depletion component of EMBR-seq+ enables rapid iterations in probe design without requiring to start experiments from total RNA each time, and was key for depleting fungal rRNA to enrich the bacterial mRNA readout in co-cultures. Finally, efficient depletion of rRNA enabled systematic quantification of the reprogramming of the bacterial transcriptome when cultured in the presence of the anerobic fungi, Anaeromyces robustus and Caecomyces churrovis. We observed that F. succinogenes strain UWB7 transcribes nearly 200 carbohydrate-active enzyme (CAZyme) genes in both monoculture and co-culture conditions, with several lignocellulose-degrading CAZymes downregulated in the presence of an anerobic gut fungus. This finding is consistent with the premise that bacteria and fungi specialize in different aspects of biomass breakdown, such that the presence of one regulates the CAZyme production of the other. This also supports previous findings that the fungi release excess reducing sugars in the supernatant, which benefits other members of the microbial community. Thus EMBR-seq+ provides a new and detailed perspective of a rumen microbiome model system by dramatically improving the efficiency of mRNA sequencing, and more generally also enables high-throughput, cost-effective and rapid quantification of the transcriptome to gain functional insights into less-studied and non-model microbial systems.
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| Overall design |
We developed a method, EMBR-seq+, to efficiently sequence RNA from bacterial samples by depleting rRNA during the RNA library preparation. EMBR-seq+ combines our previous method, EMBR-seq, with RNase H treatment to achieve improved rRNA depletion. We demonstrated that rRNA is depleted to less than 10% of sequencing reads for monocultures of E. coli, G. metallireducens, and F. succinogenes strain UWB7 and less than 25% of bacterial reads for co-cultures of F. succinogenes strain UWB7 with either A. robustus or C. churrovis.
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| Contributor(s) |
Heom KA, Wangsanuwat C, Butkovich LV, Tam SC, Rowe AR, O'Malley MA, Dey SS |
| Citation(s) |
37855606 |
| Submission date |
Jan 20, 2023 |
| Last update date |
Jan 01, 2024 |
| Contact name |
Kellie Heom |
| Organization name |
University of California Santa Barbara
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| Department |
Chemical Engineering
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| Street address |
UC Santa Barbara
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| City |
Santa Barbara |
| State/province |
California |
| ZIP/Postal code |
93106 |
| Country |
USA |
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| Platforms (10)
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| GPL21222 |
Illumina NextSeq 500 (Escherichia coli) |
| GPL21433 |
Illumina HiSeq 4000 (Escherichia coli) |
| GPL33042 |
Illumina HiSeq 4000 (Geobacter metallireducens) |
| GPL33043 |
Illumina NextSeq 500 (Geobacter metallireducens) |
| GPL33044 |
Illumina HiSeq 4000 (Fibrobacter succinogenes) |
| GPL33045 |
Illumina NextSeq 500 (Fibrobacter succinogenes) |
| GPL33046 |
Illumina HiSeq 4000 (Anaeromyces robustus; Fibrobacter succinogenes) |
| GPL33047 |
Illumina NextSeq 500 (Anaeromyces robustus; Fibrobacter succinogenes) |
| GPL33048 |
Illumina NextSeq 500 (Caecomyces churrovis; Fibrobacter succinogenes) |
| GPL33049 |
Illumina HiSeq 4000 (Caecomyces churrovis; Fibrobacter succinogenes) |
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| Samples (65)
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| Relations |
| BioProject |
PRJNA925939 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE223404_RAW.tar |
1000.0 Kb |
(http)(custom) |
TAR (of TXT) |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
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