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Targeted rRNA depletion enables efficient mRNA sequencing in diverse bacterial species and complex co-cultures.
Heom, Kellie A; Wangsanuwat, Chatarin; Butkovich, Lazarina V; Tam, Scott C; Rowe, Annette R; O'Malley, Michelle A; Dey, Siddharth S.
Afiliação
  • Heom KA; Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California, USA.
  • Wangsanuwat C; Biological Engineering Program, University of California Santa Barbara, Santa Barbara, California, USA.
  • Butkovich LV; Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California, USA.
  • Tam SC; Biological Engineering Program, University of California Santa Barbara, Santa Barbara, California, USA.
  • Rowe AR; Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California, USA.
  • O'Malley MA; Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California, USA.
  • Dey SS; Biological Sciences, University of Cincinnati, Cincinnati, Ohio, USA.
mSystems ; 8(6): e0028123, 2023 Dec 21.
Article em En | MEDLINE | ID: mdl-37855606
IMPORTANCE: Microbes present one of the most diverse sources of biochemistry in nature, and mRNA sequencing provides a comprehensive view of this biological activity by quantitatively measuring microbial transcriptomes. However, efficient mRNA capture for sequencing presents significant challenges in prokaryotes as mRNAs are not poly-adenylated and typically make up less than 5% of total RNA compared with rRNAs that exceed 80%. Recently developed methods for sequencing bacterial mRNA typically rely on depleting rRNA by tiling large probe sets against rRNAs; however, such approaches are expensive, time-consuming, and challenging to scale to varied bacterial species and complex microbial communities. Therefore, we developed EMBR-seq+, a method that requires fewer than 10 short oligonucleotides per rRNA to achieve up to 99% rRNA depletion in diverse bacterial species. Finally, EMBR-seq+ resulted in a deeper view of the transcriptome, enabling systematic quantification of how microbial interactions result in altering the transcriptional state of bacteria within co-cultures.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Bactérias / RNA Ribossômico Idioma: En Revista: MSystems Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Bactérias / RNA Ribossômico Idioma: En Revista: MSystems Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos