Effect of the 16S rRNA Gene Hypervariable Region on the Microbiome Taxonomic Profile and Diversity in the Endangered Fish Totoaba macdonaldi

Understanding the intricate dynamics of fish microbiota through 16S rRNA amplicon sequencing is pivotal for ecological insights and effective disease management. However, this approach faces challenges including the co-amplification of host mitochondrial sequences and the variability in bacterial composition influenced by the selected 16S rRNA gene regions. To overcome these limitations, we conducted a comprehensive investigation to identify the most suitable 16S rRNA region for bacterial microbial analysis in endangered fish <i>Totoaba macdonaldi</i>, an endemic species of significant ecological and economic importance in Mexico. Targeting four distinct hypervariable regions (V1-V2, V2-V3, V3-V4, and V5-V7) of the 16S rRNA gene, we determined the microbial composition within the distal intestine. A total of 40 microbiomes were sequenced. Our findings underscore the critical impact of region selection on the accuracy of microbiota analysis. The V3-V4 region detected the highest number of bacterial taxa and exhibited significantly higher alpha diversity indices, demonstrating the highest taxonomic resolution. This study emphasizes the necessity of meticulous 16S rRNA region selection for fish microbiota analysis, particularly in native species of ecological and economic significance such as the endangered <i>T. macdonaldi</i>, where information is limited. Such optimization enhances the reliability and applicability of microbiota studies in fisheries management and conservation efforts.

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Publication Details

Journal
Microorganisms
Published
2024-10-23
DOI
https://doi.org/10.3390/microorganisms12112119
Citations
4
Primary Topic
Aquaculture disease management and microbiota
Type
article
Field-Weighted Citation Impact
0.96
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article

Effect of the 16S rRNA Gene Hypervariable Region on the Microbiome Taxonomic Profile and Diversity in the Endangered Fish Totoaba macdonaldi

Jesús Antonio López‐Carvallo, Samuel Sánchez-Serrano, Itzel Soledad Pérez-Bustamante, Roberto Cruz‐Flores
4 citations
Microorganisms
Aquaculture disease management and microbiota
0.96
article

Effect of the 16S rRNA Gene Hypervariable Region on the Microbiome Taxonomic Profile and Diversity in the Endangered Fish Totoaba macdonaldi

Jesús Antonio López‐Carvallo, Samuel Sánchez-Serrano, Itzel Soledad Pérez-Bustamante, Roberto Cruz‐Flores
article en
4 citations

Abstract

Understanding the intricate dynamics of fish microbiota through 16S rRNA amplicon sequencing is pivotal for ecological insights and effective disease management. However, this approach faces challenges including the co-amplification of host mitochondrial sequences and the variability in bacterial composition influenced by the selected 16S rRNA gene regions. To overcome these limitations, we conducted a comprehensive investigation to identify the most suitable 16S rRNA region for bacterial microbial analysis in endangered fish <i>Totoaba macdonaldi</i>, an endemic species of significant ecological and economic importance in Mexico. Targeting four distinct hypervariable regions (V1-V2, V2-V3, V3-V4, and V5-V7) of the 16S rRNA gene, we determined the microbial composition within the distal intestine. A total of 40 microbiomes were sequenced. Our findings underscore the critical impact of region selection on the accuracy of microbiota analysis. The V3-V4 region detected the highest number of bacterial taxa and exhibited significantly higher alpha diversity indices, demonstrating the highest taxonomic resolution. This study emphasizes the necessity of meticulous 16S rRNA region selection for fish microbiota analysis, particularly in native species of ecological and economic significance such as the endangered <i>T. macdonaldi</i>, where information is limited. Such optimization enhances the reliability and applicability of microbiota studies in fisheries management and conservation efforts.

MicroorganismsVol. 12(11)
Universidad Autónoma de Baja California (MX), Universidad Católica del Norte (CL), Centro de Investigación Científica y de Educación Superior de Ensenada (MX)
Life in Land
Openalex Percentile: Top 24%
Aquaculture disease management and microbiota
0.96
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