Unknown

Dataset Information

0

Full-Length SSU rRNA Gene Sequencing Allows Species-Level Detection of Bacteria, Archaea, and Yeasts Present in Milk.


ABSTRACT: Full-length SSU rRNA gene sequencing allows species-level identification of the microorganisms present in milk samples. Here, we used bulk-tank raw milk samples of two German dairies and detected, using this method, a great diversity of bacteria, archaea, and yeasts within the samples. Moreover, the species-level classification was improved in comparison to short amplicon sequencing. Therefore, we anticipate that this approach might be useful for the detection of possible mastitis-causing species, as well as for the control of spoilage-associated microorganisms. In a proof of concept, we showed that we were able to identify several putative mastitis-causing or mastitis-associated species such as Streptococcusuberis, Streptococcusagalactiae, Streptococcusdysgalactiae, Escherichiacoli and Staphylococcusaureus, as well as several Candida species. Overall, the presented full-length approach for the sequencing of SSU rRNA is easy to conduct, able to be standardized, and allows the screening of microorganisms in labs with Illumina sequencing machines.

SUBMITTER: Abellan-Schneyder I 

PROVIDER: S-EPMC8229006 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Full-Length SSU rRNA Gene Sequencing Allows Species-Level Detection of Bacteria, Archaea, and Yeasts Present in Milk.

Abellan-Schneyder Isabel I   Siebert Annemarie A   Hofmann Katharina K   Wenning Mareike M   Neuhaus Klaus K  

Microorganisms 20210609 6


Full-length SSU rRNA gene sequencing allows species-level identification of the microorganisms present in milk samples. Here, we used bulk-tank raw milk samples of two German dairies and detected, using this method, a great diversity of bacteria, archaea, and yeasts within the samples. Moreover, the species-level classification was improved in comparison to short amplicon sequencing. Therefore, we anticipate that this approach might be useful for the detection of possible mastitis-causing specie  ...[more]

Similar Datasets

| S-EPMC7687777 | biostudies-literature
| PRJEB17706 | ENA
| S-EPMC6976660 | biostudies-literature
| S-EPMC6722423 | biostudies-literature
| S-EPMC8623055 | biostudies-literature
2019-05-19 | GSE117737 | GEO
| S-EPMC6813439 | biostudies-literature
| S-EPMC4944186 | biostudies-literature
| PRJNA946901 | ENA
| PRJNA967580 | ENA