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Ecological Intelligence / Subject

microbiomes

Two deer species shared much of a captive gut-microbiome signal

Evidence
Peer-reviewed
Geography
Yinchuan, China; captive sika and fallow deer
System
Captive ungulate microbiomes; veterinary and wildlife disease ecology

WHAT THE EVIDENCE SAYS

Researchers profiled gut bacterial communities of 22 captive sika and fallow deer. Their analyses found broad overlap rather than a strong overall species separation; several proposed functional differences were not robust after accounting for multiple tests.

WHY IT MATTERS / OUR READ

Species labels alone may be weak predictors of captive microbial communities. A stronger monitoring design would consider shared feed, enclosure, health and age before interpreting a difference as a species-specific disease signal.

CAVEATS / UNCERTAINTY

Sample size, shared zoo environment, inference from sequences and multiple comparisons limit conclusions. No demonstration of wild deer microbiomes, pathogen transmission or health impacts follows from this captive observational comparison.

SOURCE

AMB Express · captive deer gut microbiome comparison
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A small zoological comparison found substantial overlap, with exploratory differences too limited to support general wildlife-health claims.

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Toxic Microcystis blooms did not carry one repeatable microbial signature across Guatemala and Poland

Evidence
Peer-reviewed
Geography
Lake Amatitlán and Laguna del Pino, Guatemala; Sulejów Reservoir, Poland
System
Freshwater lakes and reservoirs

WHAT THE EVIDENCE SAYS

A comparative study sampled hypertrophic Lake Amatitlán and mesotrophic Laguna del Pino in Guatemala and eutrophic Sulejów Reservoir in Poland. Lake Amatitlán was dominated by Microcystis and had the highest measured microcystins—20.39 and 47.68 µg/L at the urban- and agricultural-catchment sites—while lower-nutrient Laguna del Pino was diatom-dominated with no detected microcystins. Sulejów shifted seasonally among cyanobacterial assemblages. 16S sequencing showed distinct associated bacterial communities among lakes and seasonal stages.

WHY IT MATTERS / OUR READ

Harmful-bloom monitoring benefits from treating the catchment, cyanobacteria, toxins and microbiome as one changing system. The label ‘Microcystis bloom’ can conceal very different nutrient context, toxicity and bacterial associates.

CAVEATS / UNCERTAINTY

The comparison includes only three freshwater systems and different seasonal sampling contexts, so climate zone, land use, trophic state and season cannot be cleanly separated. Community associations do not establish causal microbial interactions or predict toxicity at unsampled times.

SOURCE

Hydrobiologia — primary study
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Three freshwater systems differed sharply in cyanobacteria, microcystins and associated bacterial communities, with catchment nutrients and seasonal context shaping the pattern.

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