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High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

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Recovering High-Quality Host Genomes from Gut Metagenomic Data through Genotype Imputation.

Sofia Marcos¹, Melanie Parejo¹, Andone Estonba¹

¹Applied Genomics and Bioinformatics University of the Basque Country (UPV/EHU) Leioa Bilbao 48940 Spain.

Advanced Genetics (Hoboken, N.J.)

|January 9, 2023

Summary

Discarded host DNA from metagenomic data can now be used for genetic analysis. A new imputation strategy successfully reconstructs host genotypes from low-depth sequencing data, enabling population genetics insights.

Keywords:

host imputation metagenomic data population genetics

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Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples

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Published on: December 22, 2014

Area of Science:

Genomics
Population Genetics
Microbiome Research

Background:

Metagenomic studies often discard host DNA due to low data yield.
Host genetic information is valuable for understanding host-microbe interactions and population structure.
Genotype imputation offers a potential solution for reconstructing host genotypes from limited data.

Purpose of the Study:

To evaluate a genotype imputation strategy for low-depth host DNA from metagenomic samples.
To assess the performance of different reference panels for host genotype imputation.
To determine the impact of imputation on population genetics analyses.

Main Methods:

A two-step genotype imputation strategy was applied to low-depth host genome data (≈2× coverage).
Four distinct reference panels were constructed and tested.
Imputation accuracy was assessed using samples with both low- and high-depth sequencing data.
Population genetics statistics were calculated for 100 chickens using imputed genotypes.

Main Results:

High imputation accuracies (>0.90) were achieved across all tested reference panels.
The choice of reference panel had minimal impact on population genetics statistics.
The imputation strategy successfully leveraged discarded host DNA for genetic insights.

Conclusions:

The developed imputation strategy is feasible for reconstructing host genotypes from low-depth metagenomic data.
This method allows for the utilization of previously discarded host DNA for population genetics studies.
The approach facilitates the implementation of hologenomic studies, integrating host and microbial genomic data.