Genome-scale metabolic model analysis of Korean Campylobacter jejuni isolates reveals lineage-level metabolic structure

Genome-scale metabolic models (GSMMs) of Campylobacter jejuni (C. jejuni) have been studied mainly for reference strains, and their characteristics at the lineage level remain poorly understood. We reconstructed GSMMs for 86 C. jejuni isolates collected in Korea using gapseq and analyzed them together with in vitro substrate utilization data for seven substrates measured on the same isolates. Strain-specific GSMMs clustered by clonal complex (CC): in all nine CCs with ≥ 2 isolates the mean within-CC Jaccard distance was smaller than the mean between-CC distance; across all strain pairs the median distance was 0.082 within CCs and 0.130 between CCs (P < 0.001). In the in vitro phenotypes, only five of the nine CCs showed smaller within- than between-CC distances, and the GSMM and in vitro distances were only weakly correlated (Mantel r = 0.13, P = 0.03). In an exploratory comparison of two lineages with contrasting profiles, CC-443 (n = 7) showed negative mean z-scores for all seven substrates, whereas CC-658 (n = 4) showed positive mean z-scores for all seven, the highest being sulfite (z = + 0.95). In GSMMs, CC-443 lacked reactions for the monoamine/polyamine oxidase family and pantothenate/CoA biosynthesis, whereas CC-658 was enriched in fatty acid/phospholipid biosynthesis, sialic acid metabolism, and anaerobic sulfur respiration. Anaerobic sulfur respiration-related reactions were more prevalent in CC-658 (75%) than in the other CCs (11%), consistent with its high in vitro sulfite utilization; this difference was retained when the comparison was restricted to chicken isolates (0% in CC-443 vs. 100% in CC-658). In silico growth simulations under two gut-mimicking diets (Western and high-fiber) showed consistently lower predicted growth for CC-443 than for CC-658 under both conditions (exact permutation test, P = 0.048), although the eleven models yielded only four distinct predicted values under each diet, which limits the strength of this comparison. These results indicate that metabolic modeling of C. jejuni benefits from considering lineage-level diversity rather than relying on a single reference-strain GSMM.

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Journal
Genomics & Informatics
Published
2026-11-02
DOI
https://doi.org/10.1186/s44342-026-00086-3
Primary Topic
Salmonella and Campylobacter epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Genome-scale metabolic model analysis of Korean Campylobacter jejuni isolates reveals lineage-level metabolic structure

Yeun‐Jun Chung, Jeong-Ih Shin, Myeong-Won Jo, Seung-Hyun Jung
1 links
Genomics & Informatics
Salmonella and Campylobacter epidemiology
article

Genome-scale metabolic model analysis of Korean Campylobacter jejuni isolates reveals lineage-level metabolic structure

Yeun‐Jun Chung, Jeong-Ih Shin, Myeong-Won Jo, Seung-Hyun Jung
article en

Abstract

Genome-scale metabolic models (GSMMs) of Campylobacter jejuni (C. jejuni) have been studied mainly for reference strains, and their characteristics at the lineage level remain poorly understood. We reconstructed GSMMs for 86 C. jejuni isolates collected in Korea using gapseq and analyzed them together with in vitro substrate utilization data for seven substrates measured on the same isolates. Strain-specific GSMMs clustered by clonal complex (CC): in all nine CCs with ≥ 2 isolates the mean within-CC Jaccard distance was smaller than the mean between-CC distance; across all strain pairs the median distance was 0.082 within CCs and 0.130 between CCs (P < 0.001). In the in vitro phenotypes, only five of the nine CCs showed smaller within- than between-CC distances, and the GSMM and in vitro distances were only weakly correlated (Mantel r = 0.13, P = 0.03). In an exploratory comparison of two lineages with contrasting profiles, CC-443 (n = 7) showed negative mean z-scores for all seven substrates, whereas CC-658 (n = 4) showed positive mean z-scores for all seven, the highest being sulfite (z = + 0.95). In GSMMs, CC-443 lacked reactions for the monoamine/polyamine oxidase family and pantothenate/CoA biosynthesis, whereas CC-658 was enriched in fatty acid/phospholipid biosynthesis, sialic acid metabolism, and anaerobic sulfur respiration. Anaerobic sulfur respiration-related reactions were more prevalent in CC-658 (75%) than in the other CCs (11%), consistent with its high in vitro sulfite utilization; this difference was retained when the comparison was restricted to chicken isolates (0% in CC-443 vs. 100% in CC-658). In silico growth simulations under two gut-mimicking diets (Western and high-fiber) showed consistently lower predicted growth for CC-443 than for CC-658 under both conditions (exact permutation test, P = 0.048), although the eleven models yielded only four distinct predicted values under each diet, which limits the strength of this comparison. These results indicate that metabolic modeling of C. jejuni benefits from considering lineage-level diversity rather than relying on a single reference-strain GSMM.

Genomics & InformaticsVol. 24(1)
Catholic University of Korea (KR)
Ministry of Food and Drug Safety, National Research Foundation of Korea
Openalex Percentile: Top 18%
Salmonella and Campylobacter epidemiology
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