Bacterial Community of Breast Milk in Breastfeeding Women Using Culture-Dependent and Culture-Independent Approaches

This study aimed to analyze bacterial communities in breast milk obtained from five breastfeeding women. Culture-dependent and culture-independent methods were used to analyze microbial communities. Total bacterial count of breast milk determined using plate count agar ranged from 3.3 × 10<sup>4</sup> ± 3.5 × 10<sup>2</sup> colony forming unit (CFU)/g to 1.7 × 10<sup>5</sup> ± 3.5 × 10<sup>3</sup> CFU/g, with a pH between 6.4 and 6.8. Only three species, <i>Leuconostoc citreum</i> (17 out of 160 strains; 10.63%), <i>Staphylococcus epidermidis</i> (118 strains; 73.75%), and <i>Staphylococcus lugdunensis</i> (25 strains; 15.63%), belong to the phylum Bacillota were detected by culture-dependent analysis. Microbial communities analyzed via pyrosequencing revealed greater diversity compared to the culture-dependent analysis. At the phylum level, Bacillota accounted for 60.9% of the microbial community. At the genus level, <i>Staphylococcus</i> (24.57%), <i>Streptococcus</i> (22.93%), and <i>Methylobacterium</i> (8.76%) were dominant genera. While pyrosequencing demonstrated greater microbial diversity than the agar plate culture method, identified microbes might lack information or include many unculturable microbes. Most of all, considering the low total bacterial count averaging 7.2 × 10<sup>4</sup> CFU/g, further research is needed to determine the significance of microbial presence in breast milk.

Authors

Institutions

Publication Details

Journal
Journal of Microbiology and Biotechnology
Published
2024-09-09
DOI
https://doi.org/10.4014/jmb.2407.07001
Citations
2
Primary Topic
Infant Nutrition and Health
Type
article
Field-Weighted Citation Impact
0.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bacterial Community of Breast Milk in Breastfeeding Women Using Culture-Dependent and Culture-Independent Approaches

Mi‐Kyung Park, Sojeong Heo, Do‐Won Jeong, Sumin Lee et al.
2 citations
Journal of Microbiology and Biotechnology
Infant Nutrition and Health
0.62
article

Bacterial Community of Breast Milk in Breastfeeding Women Using Culture-Dependent and Culture-Independent Approaches

Mi‐Kyung Park, Sojeong Heo, Do‐Won Jeong, Sumin Lee, Moon‐Hee Sung
article en
2 citations

Abstract

This study aimed to analyze bacterial communities in breast milk obtained from five breastfeeding women. Culture-dependent and culture-independent methods were used to analyze microbial communities. Total bacterial count of breast milk determined using plate count agar ranged from 3.3 × 10<sup>4</sup> ± 3.5 × 10<sup>2</sup> colony forming unit (CFU)/g to 1.7 × 10<sup>5</sup> ± 3.5 × 10<sup>3</sup> CFU/g, with a pH between 6.4 and 6.8. Only three species, <i>Leuconostoc citreum</i> (17 out of 160 strains; 10.63%), <i>Staphylococcus epidermidis</i> (118 strains; 73.75%), and <i>Staphylococcus lugdunensis</i> (25 strains; 15.63%), belong to the phylum Bacillota were detected by culture-dependent analysis. Microbial communities analyzed via pyrosequencing revealed greater diversity compared to the culture-dependent analysis. At the phylum level, Bacillota accounted for 60.9% of the microbial community. At the genus level, <i>Staphylococcus</i> (24.57%), <i>Streptococcus</i> (22.93%), and <i>Methylobacterium</i> (8.76%) were dominant genera. While pyrosequencing demonstrated greater microbial diversity than the agar plate culture method, identified microbes might lack information or include many unculturable microbes. Most of all, considering the low total bacterial count averaging 7.2 × 10<sup>4</sup> CFU/g, further research is needed to determine the significance of microbial presence in breast milk.

Journal of Microbiology and BiotechnologyVol. 34(10)
Dongduk Women's University (KR), Kookmin University (KR), Kyungpook National University (KR)
National Research Foundation, Ministry of Agriculture, Food and Rural Affairs, National Research Foundation of Korea, Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry
Gender equality
Openalex Percentile: Top 33%
Infant Nutrition and Health
0.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.