Metabarcoding vs Microhistology: Comparing Dietary Analysis MethodsTyler KartzinelOriginally posted 1/6/2026. At First Bite: Why Do Animal Diets Matter?
Metabarcoding vs Microhistology: Two Ways to Identify an Animal’s FoodMetabarcoding vs. microhistology—how do these two diet analysis methods compare, and what do their differences mean for ecology and conservation? Metabarcoding
Microhistology
Microhistology
MetabarcodingDietary DNA metabarcoding uses high-throughput DNA sequencing to identify what species are present in a sample based on short genetic markers called "barcodes." Instead of visually identifying fragments, researchers match sequences to reference databases. Why it’s transformative
A key caveat is that results can depend heavily on which genetic marker is used and the completeness of reference libraries—the absence of evidence is not evidence of absence. 🔗Who is eating what: diet assessment using next generation sequencing Metabarcoding vs. Microhistology: What’s Really so Different?Researchers use both methods to answer the same question--what do animals eat?—but from different angles.
Microhistology often emphasizes diet structure, meaning the proportional breakdown in how much an animal eats one broad kind of food compared to another. How much grass versus browse an herbivore eats is a common application in wildlife management, for example. By contrast, metabarcoding excels at revealing fine-grained differences in diet diversity and composition. Importantly, neither method provides a perfect measure of quantity: counts of fragments and sequence reads are both useful—albeit imperfect—proxies for the amount of food an animal has consumed. The contrast is less about old technology versus new—and more about complementary lenses on the same ecological process. Why This Comparison MattersUnderstanding reports based on metabarcoding vs. microhistology—and choosing which method to use in a study you might be planning—can influence:
What You Can Do
🔗 Related post: Apportionment of dietary diversity in wildlife 🔗 Related post: Avoid this one common pitfall in analyses of dietary DNA data Explore More Upcoming Posts In This Series
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