Decoding the flavor regulation mechanism of fermented sausages inoculated with indigenous strains via metagenomic and GC-MS analysis

The objective of this study was to elucidate the effects of indigenous strains (Lactiplantibacillus plantarum CQ01107 and Staphylococcus simulans CD207) on flavor profile in fermented sausages, and to reveal the regulation mechanisms via metagenome sequencing. Notably, higher levels of free amino acids and fatty acids were detected in the inoculated group. The L. plantarum and S. simulans possessed stronger protease and lipase activities, respectively. A total of 39 volatile flavor compounds were identified, with those in the inoculated groups being more abundant, particularly in the mixed starter group. Metagenomic sequencing revealed that the indigenous strains were capable of modifying the abundance and composition of bacterial communities by inhibiting the growth of undesirable microorganisms, such as Weissella spp., and promoting the colonization of favorable strains, including Lactobacillus spp. Inoculation with L. plantarum was found to be more favorable for carbohydrate metabolism, while S. simulans contributed more to lipid metabolism. Additionally, inoculation with the above two strains had a similar effect on the abundance of genes related to amino acid metabolism in fermented sausages. The findings contribute to improve the understanding of the mechanisms of flavor formation regulated by starters.

Authors

Institutions

Publication Details

Journal
LWT
Published
2024-08-01
DOI
https://doi.org/10.1016/j.lwt.2024.116604
Citations
21
Primary Topic
Meat and Animal Product Quality
Type
article
Field-Weighted Citation Impact
7.16

Funders

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

Decoding the flavor regulation mechanism of fermented sausages inoculated with indigenous strains via metagenomic and GC-MS analysis

Huhu Wang, Jian Sun, Xiangyu Song, Linlin Cai et al.
21 citations
LWT
Meat and Animal Product Quality
7.16
article

Decoding the flavor regulation mechanism of fermented sausages inoculated with indigenous strains via metagenomic and GC-MS analysis

Huhu Wang, Jian Sun, Xiangyu Song, Linlin Cai, Na Xu, Xinglian Xu, Xuefei Shao
article en
21 citations

Abstract

The objective of this study was to elucidate the effects of indigenous strains (Lactiplantibacillus plantarum CQ01107 and Staphylococcus simulans CD207) on flavor profile in fermented sausages, and to reveal the regulation mechanisms via metagenome sequencing. Notably, higher levels of free amino acids and fatty acids were detected in the inoculated group. The L. plantarum and S. simulans possessed stronger protease and lipase activities, respectively. A total of 39 volatile flavor compounds were identified, with those in the inoculated groups being more abundant, particularly in the mixed starter group. Metagenomic sequencing revealed that the indigenous strains were capable of modifying the abundance and composition of bacterial communities by inhibiting the growth of undesirable microorganisms, such as Weissella spp., and promoting the colonization of favorable strains, including Lactobacillus spp. Inoculation with L. plantarum was found to be more favorable for carbohydrate metabolism, while S. simulans contributed more to lipid metabolism. Additionally, inoculation with the above two strains had a similar effect on the abundance of genes related to amino acid metabolism in fermented sausages. The findings contribute to improve the understanding of the mechanisms of flavor formation regulated by starters.

LWTVol. 206
Nanjing Agricultural University (CN)
Nanjing Agricultural University, Priority Academic Program Development of Jiangsu Higher Education Institutions
Zero hunger
Openalex Percentile: Top 2%
Meat and Animal Product Quality
7.16
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.