Academic Thesis

Basic information

Name Shinozuka Yasunori
Belonging department
Occupation name
researchmap researcher code 7000022273
researchmap agency Okayama University of Science

Title

Examination of the microbiota of normal cow milk using MinIONTM nanopore sequencing

Bibliography Type

Joint Author

Author

Yasunori SHINOZUKA ,  Kazuhiro KAWAI ,  Tomomi KURUMISAWA ,  Yuko SHIMIZU ,  Tadashi IMANISHI ,  Ayumu OHNO ,  Mano TAKAHASHI ,  Sohei KANEKO ,  Naoki SUZUKI

Summary

The aim of this study was to evaluate the microbiota of normal milk in dairy cows and their relationship with host factors, such as the age of the cow (Age), somatic cell counts in milk (SCCs), and days in milk (DIM). We investigated 48 milk samples from 22 cows with no systemic or local clinical signs using MinIONTM nanopore sequencing for a 16S rRNA gene amplicon. Bacterial richness was positively correlated with the DIM (P=0.043), and both the Shannon-Wiener Index and Simpson’s Index, which are metrics of alpha-diversity, were also significantly positively correlated with the SCC (P<0.001). The composition ratios of both Actinobacteria at the phylum level and Kocuria spp. at the genus level in the milk microbiota were significantly correlated with the SCC (P<0.001 and P<0.001, respectively). In the beta-diversity test, the one-way analysis of similarities test showed a significant difference (P=0.0051) between the low- and high-SCC groups. This study clarified that the composition of the normal milk microbiota in this herd was related to the SCC. It also raised the possibility of variations in bacterial genera in the normal milk microbiota between the low- and high-SCC groups. However, to clarify the actual condition of the milk microbiota and to elucidate the relationship with the SCC, it is necessary to perform further analyses taking into account not only the relative abundance, but also the absolute abundance of microbes.

Magazine(name)

Journal of Veterinary Medical Science

Publisher

Volume

83

Number Of Pages

11

StartingPage

1620

EndingPage

1627

Date of Issue

2021/11

Referee

Exist

Invited

Not exist

Language

English

Thesis Type

Research papers (academic journals)

ISSN

DOI

10.1292/jvms.21-0353

NAID

PMID

URL

J-GLOBAL ID

arXiv ID

ORCID Put Code

DBLP ID