Deep sequencing-derived Metagenome Assembled Genomes from the gut microbiome of liver transplant patients

Goutam Banerjee, Suraya Rahman Papri, Hai Huang, Sanjaya Kumar Satapathy, Pratik Banerjee

Research output: Contribution to journalArticlepeer-review

Abstract

Recurrence of metabolic dysfunction-associated steatotic liver disease (MASLD) after liver transplantation (LT) is a continuing concern. The role of gut microbiome dysbiosis in MASLD initiation and progression has been well established. However, there is a lack of comprehensive gut microbiome shotgun sequence data for patients experiencing MASLD recurrence after LT. In this data descriptor, we describe a dataset of deep metagenomic sequences of a well-defined LT recipient population. Community-based analysis revealed a high abundance of Akkermansia muciniphila, consistently observed in most patient samples with a low (0–2) MASLD Activity Score (NAS). We constructed 357 metagenome-assembled genomes (MAGs), including 220 high-quality MAGs (>90% completion). The abundance of different species of Bacteroides MAGs dominated in patient samples with NAS > 5 (“definite MASH”). In contrast, the MAGs of A. muciniphila, Akkermansia sp., and Blutia sp. dominated in samples from patients without MASH (NAS = 0–2). In addition, the phylogenetic analysis of A. muciniphila and Akkermansia sp. MAGs identified two new phylogroups of Akkermansia that are distinct from the previously reported three phylogroups.

Original languageEnglish (US)
Article number39
JournalScientific Data
Volume12
Issue number1
Early online dateJan 9 2025
DOIs
StateE-pub ahead of print - Jan 9 2025

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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