MICROBIOME SEQUENCING AND METHODOLOGICAL CHALLENGES: IMPLICATIONS FOR PERSONALIZED NUTRITION AND MEDICINE

This study investigates the impact of sequencing methodologies on microbial composition and functional dynamics in the context of dietary patterns.By analyzing the same stool samples using both 16S rRNA and shotgun metagenomics, we uncovered significant discrepancies in taxonomic resolution, with shotgun metagenomics identifying a broader range of microorganisms, including 22 phyla and 1489 species, compared to the 15 phyla and 509 species identified by 16S rRNA.Our results highlight the dependency of microbial abundances on sequencing methodology, raising concerns about the generalizability of associations reported in the literature.Notably, despite herein selected dietary patterns, plant-based and western, key genera and phyla displayed markedly different relative abundances, illustrating the complexity and variability inherent in microbiome research.Furthermore, we employed metatranscriptomics to differentiate between potential and active metabolic pathways, revealing that not all detected pathways at the DNA level are actively expressed, emphasizing the need for multi-omics approaches in future studies.The limited sample size in our analysis restricts comprehensive comparisons between dietary groups, underscoring the necessity for larger cohort studies.This work calls for standardized protocols in microbiome research and highlights the importance of addressing methodological sequencing biases, which can critically affect interpretations and applications looking for the development of actionable strategies for personalized nutrition and future health interventions.

Publication Details

Journal
Research and Applied Medicine
Published
2025-05-25
DOI
https://doi.org/10.55634/3.3.5
Primary Topic
Nutrition, Genetics, and Disease
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MICROBIOME SEQUENCING AND METHODOLOGICAL CHALLENGES: IMPLICATIONS FOR PERSONALIZED NUTRITION AND MEDICINE

Research and Applied Medicine
Nutrition, Genetics, and Disease
article

MICROBIOME SEQUENCING AND METHODOLOGICAL CHALLENGES: IMPLICATIONS FOR PERSONALIZED NUTRITION AND MEDICINE

article en

Abstract

This study investigates the impact of sequencing methodologies on microbial composition and functional dynamics in the context of dietary patterns.By analyzing the same stool samples using both 16S rRNA and shotgun metagenomics, we uncovered significant discrepancies in taxonomic resolution, with shotgun metagenomics identifying a broader range of microorganisms, including 22 phyla and 1489 species, compared to the 15 phyla and 509 species identified by 16S rRNA.Our results highlight the dependency of microbial abundances on sequencing methodology, raising concerns about the generalizability of associations reported in the literature.Notably, despite herein selected dietary patterns, plant-based and western, key genera and phyla displayed markedly different relative abundances, illustrating the complexity and variability inherent in microbiome research.Furthermore, we employed metatranscriptomics to differentiate between potential and active metabolic pathways, revealing that not all detected pathways at the DNA level are actively expressed, emphasizing the need for multi-omics approaches in future studies.The limited sample size in our analysis restricts comprehensive comparisons between dietary groups, underscoring the necessity for larger cohort studies.This work calls for standardized protocols in microbiome research and highlights the importance of addressing methodological sequencing biases, which can critically affect interpretations and applications looking for the development of actionable strategies for personalized nutrition and future health interventions.

Research and Applied MedicineVol. 3(3)
Zero hunger
Openalex Percentile: Top 86%
Nutrition, Genetics, and Disease
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.