Microbiome Analysis Methods
Research gap analysis derived from 2 agriculture papers in our local library.
The gap
Most studies rely on 16S rRNA sequencing for microbiome analysis but lack functional insights and comprehensive diversity metrics such as alpha and beta diversity indices.
Consensus across the literature
The papers collectively establish the utility of 16S rRNA sequencing in microbiome studies but leave open the need for more detailed methods to capture functional diversity and richness.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 2 representative gaps
- Temperature dependent immunological responses of Spoladea recurvalis exposed to entomopathogenic fungi (2026) · doi
The gut microbiome analysis using 16S rRNA gene sequencing identified bacterial genera with cumulative abundance below 0.5% as 'others,' but did not report the actual number of bacterial taxa detected, Shannon-Wiener diversity indices, or richness values across different temperature treatments and fungal isolates. Specific comparisons of alpha and beta diversity metrics between temperature conditions and fungal isolate treatments need to be quantified to establish how entomopathogenic fungi modulate gut microbiota composition.
Keywords: gut microbiome 16S rRNA sequencing alpha diversity beta diversity entomopathogenic fungi temperature - Oral supplementation of sodium butyrate prevents lipid metabolism disorders and intestinal injury by modulating immunity, intestinal barrier functions, and gut microbiota in a corticosterone-induced chronic stress model in mice (2026) · doi
The gut microbiota composition and diversity changes are mentioned as a mechanism but detailed microbiota analysis (16S rRNA sequencing data) is not comprehensively presented in this excerpt.
Keywords: microbiota composition diversity changes mentioned mechanism detailed rrna sequencing comprehensively presented excerpt
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