⚙ How is this computed? Methods: Lifespan Analysis
Cross-Species / Animal Model

Choose an animal model by biological question

A translational framework for selecting species, genetic backgrounds, interventions, and endpoints in ageing research. The goal is not to nominate one universal model, but to match each model to a precise mechanism, tissue, life stage, and validation step.

Model selectionComparative biologyGenetic perturbationIntervention studiesPhenotypingTranslation
Question first Select the model after defining the inference
Background matters Species alone does not define an experiment
Multiple endpoints Mechanism, function, pathology, and survival
Triangulation Conclusions strengthen across complementary models
Step 1 / Define the inference

Start with the claim the experiment must support

Model choice follows from the causal question, the required tissue and cell biology, the timescale, and the intended translation. A tractable organism is valuable only when its strengths and blind spots match the study.

Discovery

Find conserved mechanisms

Use genetically tractable, shorter-lived systems for screens, pathway discovery, epistasis, and dose-response mapping.

  • Define whether the endpoint is survival, stress resistance, function, pathology, or a molecular state.
  • Require orthology and pathway evidence before proposing mammalian conservation.
Mammalian validation

Test tissue and systemic physiology

Use rodents or another justified mammalian model when endocrine, immune, metabolic, organ, or pharmacokinetic context is essential.

  • Select strain or stock, sex, age, husbandry, and comorbidity model explicitly.
  • Pair mechanistic readouts with longitudinal function and pathology.
Comparative

Study evolved longevity strategies

Compare species with informative life histories to identify convergent or lineage-specific adaptations.

  • Control body size, ecology, captivity, tissue handling, and phylogenetic relatedness.
  • Treat association across species as hypothesis generation, not intervention proof.
Translation

Evaluate human relevance

Choose models that reproduce the target biology, exposure, biomarker, and clinically relevant outcome rather than merely resemble a disease label.

  • Predefine which result would justify progression or termination.
  • Validate direction, dose range, safety, and tissue exposure across more than one evidence layer.
Step 2 / Compare model systems

Complementary models answer complementary questions

Timescale, genetic tools, anatomy, physiology, ecology, and feasible endpoints differ across model systems. A staged programme often moves from high-throughput discovery to mammalian validation and comparative triangulation.

Yeast, worm, fly

High-throughput mechanistic models

Short generation times and strong genetic toolkits support screens, pathway dissection, interaction mapping, and rapid replication.

  • Strengths: scale, genetic precision, conserved cell biology, and economical lifespan studies.
  • Limitations: major differences in organs, immunity, metabolism, pharmacology, and causes of death.
  • Best practice: reproduce the mechanism in a second organism and test the mammalian orthologue or pathway.
Killifish, zebrafish

Short-lived vertebrate models

Vertebrate tissues and experimental accessibility can bridge invertebrate discovery and mammalian physiology.

  • Strengths: imaging, regeneration, genetics, organ-level phenotypes, and relatively rapid ageing studies.
  • Limitations: strain, temperature, water conditions, reproductive strategy, and teleost-specific genome duplication.
  • Best practice: resolve paralogues and match husbandry, sex, tissue, and life stage across experiments.
Mouse, rat

Mammalian intervention models

Rodents support controlled genetics, longitudinal phenotyping, tissue collection, pharmacology, pathology, and survival studies.

  • Strengths: standardized resources, engineered alleles, defined populations, and deep physiological assays.
  • Limitations: background-specific effects, husbandry dependence, compressed timescale, and incomplete human disease fidelity.
  • Best practice: use justified genetic diversity, both sexes where relevant, independent cohorts, and functional endpoints.
Comparative mammals

Naturally long-lived and non-traditional species

Species with unusual longevity, disease resistance, regeneration, or ecology can reveal biological solutions not apparent in standard laboratory models.

  • Strengths: naturally evolved phenotypes and large contrasts in life history.
  • Limitations: small samples, opportunistic tissues, variable age estimates, limited reagents, and conservation constraints.
  • Best practice: avoid anecdotal exceptionalism; use phylogenetically informed designs and functional validation.
Evidence and resource entry points

Find models and phenotypes in authoritative resources

These external portals address different layers: species longevity, ageing genes, systematic knockout phenotypes, mouse population variation, intervention survival, and access to aged rodents. Confirm current releases, eligibility, protocols, and licenses at the source.

Gene-to-model

GenAge model organisms

Curated genes associated with ageing or longevity in model organisms, with evidence linked to the underlying studies.

  • Search by gene or organism and inspect the exact manipulation and phenotype.
  • Use provided human-homologue information as a starting point, then confirm current orthology independently.
  • Separate lifespan modification from other ageing phenotypes.
Species context

AnAge

Curated animal longevity and life-history information for comparative model selection and hypothesis framing.

  • Inspect record confidence, observation notes, captivity, body mass, and taxonomy.
  • Do not treat a species record as the expected survival of a laboratory cohort.
  • Use lifespan contrasts with ecological and phylogenetic covariates.
Knockout phenotypes

International Mouse Phenotyping Consortium

A standardized, open catalogue of phenotypes generated from mouse knockout lines and matched controls.

  • Inspect allele, background, zygosity, sex, procedure, age, centre, and data-release version.
  • Use late-adult and histopathology collections where they match the ageing question.
  • A phenotype association is not automatically a lifespan effect; locate the measured endpoint.
Strains and populations

Mouse Phenome Database

A standardized collection of measured data from laboratory mouse strains and populations, including ageing, diet, drug, disease, genotype, and expression studies.

  • Compare strains only within compatible projects, protocols, ages, sexes, and environments.
  • Use project metadata and individual-level measurements where available.
  • Track whether a study uses inbred, hybrid, Collaborative Cross, Diversity Outbred, or another population.
Intervention testing

NIA Interventions Testing Program

A multi-site platform for evaluating candidate interventions in genetically heterogeneous mice using coordinated protocols.

  • Review compound, dose, start age, sex, site, cohort, survival, pathology, and health measures.
  • Include null and adverse outcomes when evaluating reproducibility.
  • Do not generalize a protocol-specific mouse result directly to humans.
Aged animals

NIA Aged Rodent Colonies

Barrier-raised, health-monitored aged mouse and rat resources for eligible research focused on ageing and age-related disease.

  • Check current strains, ages, sexes, availability, eligibility, and ordering constraints.
  • Document source colony, health report, shipment, acclimation, and experimental housing.
  • Use the current colony information rather than assuming a strain remains available.
Step 3 / Specify the model

โ€œMouse modelโ€ is not a reproducible model description

Species, genetic background, allele, sex, microbiological status, age, and environment can change an ageing phenotype. Record the complete experimental identity before interpreting a result.

Genetic identity

Species, strain, stock, and allele

  • Accepted scientific name and taxonomic identifier.
  • Full strain or stock nomenclature, substrain, breeding design, and genetic diversity.
  • Allele, zygosity, construct, driver, reporter, induction schedule, and off-target assessment.
  • Genetic quality control and drift-monitoring strategy.
Biological identity

Sex, age, life stage, and tissue

  • Sex, reproductive state, exact or bounded age, and developmental or ageing stage.
  • Tissue, anatomical region, cell identity, collection time, and circadian context.
  • Baseline function, disease status, prior treatment, and exclusion criteria.
  • Whether the comparison is cross-sectional, longitudinal, or terminal.
Environmental identity

Husbandry and exposure

  • Facility, barrier, pathogen status, room, cage density, bedding, enrichment, temperature, and light cycle.
  • Diet formulation, feeding schedule, water, microbiome considerations, and co-housing.
  • Handling, transport, acclimation, intervention vehicle, dose, route, and exposure confirmation.
  • Site effects and protocol deviations.
Analytical identity

Endpoint and analysis population

  • Primary and secondary endpoints, event definitions, time origin, and measurement schedule.
  • Randomization unit, blocking, allocation concealment, blinding, sample-size rationale, and exclusions.
  • Censoring, missingness, competing risks, repeated measures, batch, and multiplicity plan.
  • Code, protocol, ontology, data-release version, and provenance.
Step 4 / Match perturbation to inference

Different model strategies support different causal claims

Natural ageing

Age-series cohorts

Measure molecular, cellular, functional, and pathological change across the life course.

Cross-sectional age differences can reflect cohort and selective-survival effects; longitudinal data answer a different question.
Genetic

Loss, gain, and conditional perturbation

Test necessity, sufficiency, tissue specificity, timing, and pathway interactions using well-defined alleles.

Developmental effects, compensation, background, mosaicism, and driver specificity can mimic or obscure an ageing mechanism.
Intervention

Diet, drug, and environment

Evaluate whether a controlled exposure changes prespecified survival, function, pathology, or molecular endpoints.

Confirm dose, stability, intake, tissue exposure, adverse effects, sex specificity, and reproducibility before mechanistic claims.
Accelerated phenotype

Progeroid and disease models

Compress a specific pathology or molecular defect to test a targeted mechanism and treatment.

An accelerated disease phenotype is not equivalent to normal organism-wide ageing. Define the shared and non-shared biology.
Step 5 / Connect the evidence

A staged cross-species validation path

Use LACA to explore available molecular context after defining the external model evidence. Internal comparisons do not imply that external model, lifespan, or phenotype records are hosted or synchronized locally.

Locate species context

Identify available species and tissue coverage, then document the external model evidence and its provenance.

Resolve genes and orthologues

Map stable identifiers, orthology confidence, one-to-many relationships, and paralogues before comparing expression or perturbation evidence.

Align tissues and cell identities

Match anatomy, ontology, cell state, sampling age, and assay context rather than relying on similar labels alone.

Test direction and mechanism

Ask whether the perturbation, molecular signature, and phenotype agree across models, and actively search for null or opposite results.

Agreement across species is stronger when the same mechanism is supported by independent perturbations and compatible endpoints.

Validate mammalian and human relevance

Confirm tissue exposure, dose, safety, functional outcomes, and human molecular evidence before a translational claim.

A conserved gene name does not guarantee conserved dosage, regulation, cell context, or intervention response.
Quality, welfare, and reproducibility

Design for informative evidence and responsible animal use

Reduce bias and wasted experiments

  • Use systematic evidence review, a prespecified protocol, appropriate controls, and a justified sample size.
  • Randomize and blind wherever feasible; define exclusions before unblinding.
  • Report all prespecified endpoints, null findings, adverse events, deviations, and attrition.
  • Share protocols, code, metadata, and reusable data under applicable consent and license terms.

Apply the 3Rs throughout the programme

  • Replacement: use cells, organoids, computation, or lower-complexity models when they can answer the question.
  • Reduction: extract multiple compatible endpoints and coordinate tissues without compromising statistical validity.
  • Refinement: minimize pain and distress, use appropriate monitoring, and define humane endpoints.
  • Obtain institutional and regulatory approval appropriate to the species, site, and procedure.
Provenance

References & source resources

Primary literature and official resource pages used to define this research guide.

GenAge model-organism ageing and longevity genes, Human Ageing Genomic Resources. โ€” Resource
AnAge: The Animal Ageing and Longevity Database, Human Ageing Genomic Resources. โ€” Resource
International Mouse Phenotyping Consortium. โ€” Official resource
Mouse Phenome Database, The Jackson Laboratory. โ€” Resource overview
National Institute on Aging Interventions Testing Program. โ€” Official program
National Institute on Aging Aged Rodent Colonies. โ€” Official resource
Percie du Sert N et al. The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research. PLoS Biology. 2020;18:e3000410. โ€” DOI