Multimodal analysis of south-eastern Black Sea sediment bacterial population diversity

Kalkan S.

MARINE POLLUTION BULLETIN THE INTERNATIONAL JOURNAL FOR MARINE ENVIRONMENTALISTS, SCIENTISTS, ENGINEERS, ADMINISTRATORS, POLITICIANS AND LAWYERS, vol.183, pp.114063, 2022 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 183
  • Publication Date: 2022
  • Doi Number: 10.1016/j.marpolbul.2022.114063
  • Journal Name: MARINE POLLUTION BULLETIN THE INTERNATIONAL JOURNAL FOR MARINE ENVIRONMENTALISTS, SCIENTISTS, ENGINEERS, ADMINISTRATORS, POLITICIANS AND LAWYERS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Artic & Antarctic Regions, BIOSIS, CAB Abstracts, Chemical Abstracts Core, Chimica, Communication Abstracts, Compendex, EMBASE, Environment Index, Geobase, MEDLINE, Metadex, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Page Numbers: pp.114063
  • Keywords: Bacterial diversity, Heterotrophic bacteria, Marine sediment, 16S rRNA sequencing, MALDI-TOF-MS, DESORPTION IONIZATION-TIME, FLIGHT MASS-SPECTROMETRY, MALDI-TOF MS, CULTURABLE HETEROTROPHIC BACTERIA, BREVIBACTERIUM-FRIGORITOLERANS, VITEK MS, PHYLOGENETIC DIVERSITY, ROUTINE IDENTIFICATION, BRUKER BIOTYPER, IONIAN SEA
  • Recep Tayyip Erdoğan University Affiliated: Yes

Abstract

This study focused on marine sediments from the Black Sea, mainly due to bacterial diversity-induced public health / biotechnology application value. Sediment samples were gathered from 14 locations at differing depths across Turkish shores on a seasonal basis over 10 months, with bacterial identifications performed through using multimodal analytical platforms. Overall, 26 differing, predominantly Gram-positive (57.5 %) bacterial species were identified for this region, including Bacillaceae (50.0 %) and Pseudomonadaceae (15.0 %). The most dominant classes were identified as Bacilli (52.5 %) and Gammaproteobacteria (40.0 %). Ten isolates (25 %) to the species level and thirty-six isolates (90 %) to the genus level were identified using VITEK (R) MS and Bruker Microflex (R) LT/SH, in comparison to 16S rRNA sequencing results. Identified species - particularly, novel reported species - can contribute to the knowledge of microbial life dwelling upon sediments of the south-eastern regions of the Black Sea.