Primož Treven (Avtor), Aleksander Mahnič (Avtor), Maja Rupnik (Avtor), Majda Golob (Avtor), Tina Pirš (Avtor), Bojana Bogovič Matijašić (Avtor), Petra Mohar Lorbeg (Avtor)

Povzetek

The aim of the present study was to characterize human milk microbiota (HMM) with 16S rRNA gene amplicon next-generation sequencing and cultivation/matrix-assisted laser desorption/ionization (MALDI)-time of flight (TOF) mass spectrometry (MS) identification approaches. We analyzed 31 human milk samples from healthy Slovenian mothers. To check the accuracy of MALDI-TOF MS identification, several colonies representing most abundant genera and those, which could not be reliably identified by MALDITOF, were subjected to Sanger sequencing of their 16S rRNA gene. We showed that cultivation/MALDI-TOF MS was a suitable tool for culture-dependent determination of HMM. With both approaches, Staphylococcus and Streptococcus were found as predominant genera in HMM and the abundance of Staphylococcus was associated with decreased microbial diversity. In addition, we characterized factors that might influence HMM. The use of a breast pump was significantly associated with composition of HMM, higher microbial load, and lower abundance of cultivable staphylococci. Moreover, our study suggests that administration of probiotics to the suckling infant might influence HMM by increased abundance of lactobacilli and the presence of viable probiotic bacteria in human milk. However, since our study was observational with relatively small sample size, more targeted studies are needed to study possible transfer of probiotics to the mammary gland via an external route and the physiological relevance of these events.

Ključne besede

mikrobiologija;humano mleko;mikrobiota;genetika;masna spektrometrija;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL BF - Biotehniška fakulteta
UDK: 579
COBISS: 4326792 Povezava se bo odprla v novem oknu
ISSN: 1664-302X
Št. ogledov: 1057
Št. prenosov: 855
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: mikrobiologija;humano mleko;mikrobiota;genetika;masna spektrometrija;
Vrsta dela (COBISS): Članek v reviji
Komentar vira: Sistemske zahteve: Adobe Acrobat Reader
Sistemski komentar: Sistemske zahteve: Adobe Acrobat Reader
Strani: str. 1-12
Letnik: ǂVol. ǂ10
Zvezek: ǂart. ǂno. 2612
Čas izdaje: 2019
DOI: 10.3389/fmicb.2019.02612
ID: 11406153