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Knowing the molecular basis of a behaviour is not a prerequisite for understanding its evolution or many of its evolutionary consequences. Evidence about transmission is essential for claims of inherited change, while detailed genetic architecture becomes essential for particular mechanistic predictions. The claim therefore depends on what is meant by a genetic basis and on the explanatory question being asked.

Tinbergen's four questions distinguish mechanism, development, adaptive significance and evolutionary history. Identifying a neural or molecular mechanism helps explain how a response is produced; it does not automatically show why a variant spread, whether it currently increases reproductive success, or whether the same mechanism generated the ancestral transition. Conversely, a well-supported evolutionary explanation can begin with experimentally demonstrated biological fitness consequences and transmission without a complete molecular account. These explanatory levels are complementary rather than substitutes. ^[ref]

The phrase genetic basis can refer to several different achievements: identifying inherited variation; estimating the number and effects of contributing genetic loci; finding a causal nucleotide change; or describing every gene required for development of the relevant sensory and motor systems. These are not equivalent. Many genes can be necessary for an animal to perform an action while none explains variation in that action within the studied population. Knocking out a broadly required neural gene and eliminating courtship does not identify an evolutionary substitution for a naturally varying mate preference.

quantitative genetics can predict a response without naming the causal molecular variants. Under the appropriate additive, generational and environmental assumptions, the multivariate breeder's equation gives:where $\mathbf{G}$ is the additive genetic covariance matrix and $\mathbf{\beta }$ the vector of phenotypic selection gradients. Behavioural measurements, pedigrees, repeated observations and reproductive success can therefore estimate whether and in what direction a response is expected. The covariances matter: selection favouring exploration can produce a correlated response in aggression or constrain the response when their biological fitness effects conflict. Naming an exploration-related gene would not replace this population-level information.

These estimates require strong controls. behavioural repeatability is consistency among observations of the same individual; it can reflect persistent environment as well as inherited differences and is not equivalent to heritability. Parent–offspring resemblance can also reflect teaching, maternal provisioning or shared habitat. cross-fostering, common garden experiments and appropriately structured breeding designs help separate these alternatives. heritability is conditional on the sampled population and environment, not a measure of immutability. A response measured in one environment may fail elsewhere because of genotype-environment interaction or altered selection. Thus ignorance of exact molecular variants is compatible with informative prediction, but ignorance of transmission and its confounders is not.

Molecular work adds power when it establishes a causal link to naturally occurring variation. In Drosophila melanogaster, rover and sitter food-search variants were connected to the foraging gene, which encodes a cGMP-dependent protein kinase. Mapping, enzyme activity and transgenic rescue linked the molecular difference to behavioural performance; comparable locomotion without food helped exclude a general activity explanation. ^[ref] This is much stronger than finding a statistical association between a gene and a behavioural score. Nevertheless, the experiment alone does not establish which ecological conditions historically maintained the polymorphism. That requires biological fitness comparisons across resources, densities and frequencies, with genetic-background controls.

genetic architecture is particularly informative when animal behaviour changes gene flow. In Heliconius melpomene and Heliconius cydno, mapping identified several major regions associated with male mating preferences; one lay close to the wing-pattern regulator Optix. Tight genetic linkage can help maintain associations between a mating cue and preference despite exchange between lineages. It does not establish pleiotropy, and courtship assays must distinguish attraction from the female's response and subsequent mating. ^[ref] Here molecular localization helps evaluate whether a proposed route to reproductive isolation is genetically feasible. A preference could still have been shown to reduce heterospecific mating before its contributing regions were mapped.

The influence of one individual's animal behaviour on another's development further complicates a simple own-genotype explanation. Maternal provisioning in Onthophagus taurus was studied using a breeding design that separated direct and maternal genetic contributions to offspring traits. ^[ref] An indirect genetic effect occurs when another individual's inherited properties alter the focal individual's phenotype. Such effects change the environment in which selection acts and can alter expected evolutionary responses. Identifying only the offspring's molecular variants would miss an important part of the causal system. Conversely, an observed maternal effect is not automatically a maternal genetic effect; provisioning can vary for environmental reasons.

Transmission need not follow genetic parentage. In wild great tits, experimenters trained demonstrators to use alternative puzzle-box techniques and followed the spread of the introduced variants. Persistent local traditions and preferential adoption of the common local technique supported social learning and conformist transmission. ^[ref] The experiment established a route of behavioural inheritance without identifying a molecular difference between the techniques' users. It did not prove that learning ability has no inherited basis, or that the new tradition changed allele frequencies. Rather, it shows why an account of behavioural change needs to identify the relevant transmission process instead of assuming it.

Even a learned response with no demonstrated inherited differences can influence subsequent evolution. A new resource use can alter selection on digestion; a socially learned mating signal can alter assortative mating; habitat choice can change contact with other populations. The immediate causal effect can be tested by manipulating the action or its social transmission and measuring biological fitness or exchange. To claim ensuing genetic adaptation, one must additionally show inherited change. To explain exactly which variants can respond, how quickly, and with what correlated effects, information about genetic architecture becomes increasingly valuable.

The most productive programme therefore combines behavioural intervention, transmission studies, biological fitness measurement and molecular analysis when it addresses an unresolved mechanism. Candidate variants should be tested across natural genetic backgrounds and environments, preferably with targeted perturbation and rescue; historical claims also need comparative or temporal evidence. Exact molecular knowledge is neither sufficient nor universally necessary: the necessary evidence is the evidence that connects the particular behavioural difference, its transmission and its measured evolutionary consequence.

I would combine quantitative-genetic cross-fostering with controlled transfer of maternal brood-chamber material in the dung beetle Onthophagus taurus. The hypothesis is that maternal genetic differences influence offspring development partly through the amount of food provided and partly through the composition of material transferred from the mother's body. These pathways must be separated: a larger brood provision, a beneficial microorganism and an inherited offspring allele can all increase offspring mass, but imply different mechanisms.

The system has three relevant precedents. A paternal half-sib study of Onthophagus taurus detected genetic variation in maternal brood provisioning and substantial maternal contributions to offspring phenotype. ^[ref] A separate study reared this species with sterile dung and detected maternal contributions and shared bacterial sequences in the brood chamber and offspring, supporting transmission through the provisioned environment. ^[ref] Experimental developmental benefits of pedestal-associated microbiota were demonstrated in Onthophagus gazella, including context dependence under environmental stress; those functional results should not be assumed automatically to hold in Onthophagus taurus. ^[ref]

The conceptual link is an indirect genetic effect: the provider's genotype affects the recipient's phenotype through a rearing environment. The transferred mediator would be maternal faecal or secreted material, including associated viable microorganisms and soluble products. This fits the socially transferred material framework because the mother contributes material processed in or produced by her body; collecting external dung alone would not establish such a transfer. ^[ref] The actual molecular mediator is an experimental question. Finding bacterial DNA or a protein in a brood chamber does not establish that it is alive, active, beneficial, or responsible for an indirect genetic effect.

First establish a common-garden breeding population with a recorded pedigree and genotype markers. Use a paternal half-sib design with several dams per sire and several adult daughter providers per dam, distributed among independently randomized rearing containers. Standardize donor age, mating history, developmental nutrition and adult diet, and block dung source, moisture and temperature. Because maternally inherited microbes can themselves produce family resemblance, rear replicate provider families with a standardized microbial inoculum in an additional common-rearing arm. Persistence of a family difference alone is insufficient evidence for host genetic causation.

For the initial cross-fostering experiment, allow each provider to construct several brood balls on weighed, standardized dung. Measure construction time, final dry-mass estimate from matched material, egg-chamber properties and maternal faecal pedestal quantity. Remove the original egg before hatching and replace it with an age-matched egg from a separately bred recipient family. Randomize recipient families across provider families, with reciprocal assignments and repeated providers; include handled own-egg and untouched controls. Record egg size and biological-mother identity so that egg provisioning and other pre-transfer maternal effects are not silently attributed to the foster provider.

One possible balanced allocation has 20 sire families, two dams per sire and two daughter providers per dam, giving 80 providers. Four independently prepared brood balls per provider yield 320 offspring-rearing units, allocated across multiple recipient families and collection blocks. This is an illustrative feasible structure, not a claim of adequate power. The effective replication for a sire-level genetic component is much smaller than 320; repeated balls estimate provider consistency and within-provider variation. A pilot-based simulation of the planned pedigree, variance components, mortality and missing samples should determine the final scale before outcomes are examined.

Measure larval growth trajectories, survival, development time and adult size; subsequently measure reproductive performance where feasible. Score provisioning behaviour blind to family and recipient treatment. Collect matched donor and provision samples for absolute microbial load, community composition and soluble chemical profiles. Include extraction blanks, reagent controls and bacterial-load standards, especially because low-biomass sequence samples are vulnerable to contamination. Shared 16S sequences provide limited discrimination among strains; culture or higher-resolution sequencing can test whether a donor-associated strain actually reaches and persists in a recipient.

For an offspring $i$ reared in a ball prepared by provider $j$, an animal model in quantitative genetics could use:Here $a_i^D$ is the direct genetic effect of the offspring, $a_j^I$ the additive provider contribution, $c_j$ a repeatable non-genetic provider effect, $b_{\mathrm{birth}(i)}$ a biological-mother effect, and $B_{ij}$ prespecified batch and rearing terms. Genetic effects use the pedigree or genomic relationship matrix; provider identity alone cannot identify $a_j^I$. If the pedigree contains informative relatives in both roles, direct–indirect genetic covariance can also be estimated. Otherwise that covariance is not identified by the first experiment and should not be assumed known. Crossed recipient and provider families distinguish a general provider effect from matching between a particular recipient genotype and provider background.

The second experiment tests the transferred pathway rather than merely adding a microbial measurement to that model. Construct uniform artificial brood balls with the same treated dung, food mass and chamber geometry, and transfer equal donor-equivalent pedestal material. Compare intact material, material separated into a cell-free soluble fraction, a preparation containing non-viable microbial cells, and a live-cell add-back or rescue preparation. Include material-free, medium and sham-processing controls, together with untreated natural balls as a benchmark. Test viability rather than inferring it from a sterilization label. All processed-dung groups must share the same processing, because sterilization can also change nutritional and chemical properties.

Within a subset, exchange washed live-cell fractions and soluble fractions independently between donor families. A crossed donor-cell-source by donor-soluble-source design asks whether offspring differences track microbial cells, soluble maternal products, or their interaction. Hold total food quantity and transfer volume constant. Include both a standardized live-cell dose, testing compositional differences, and a naturally varying dose arm, testing a possible maternal-genotype effect on delivered quantity. An equal-dose experiment alone could erase a real dose-mediated pathway. Test a candidate cultured community or identified molecule in a dose range anchored to measured natural transfers, rather than interpreting a large artificial supplement as evidence for normal function.

The predicted pattern is specific. If food mass explains the provider effect, equalizing mass should greatly reduce it. If viable maternal microbes mediate an additional effect, removing viability at equal food quantity should reduce the relevant donor-associated growth difference, and a compatible live add-back should restore it. An effect retained in a cell-free fraction instead motivates identifying soluble maternal or microbial products. A failed rescue can reflect processing damage or a missing microbial partner, rather than absence of any natural pathway. If all provider differences disappear after standardized rearing, a non-genetic maternal or microbial inheritance explanation becomes more plausible than the proposed host genetic effect.

Analyse the cross-fostering data first for total provider genetic contributions, then analyse the randomized material manipulations for mechanism. Simply adjusting for a measured mediator can block part of the effect or introduce bias; causal mediation needs assumptions and experimental support. Prespecify the primary outcomes, appropriate survival analysis, family and donor clustering, planned contrasts and treatment-by-recipient-background interactions. Offspring within a maternal pedigree and repeated chemical measurements are not independent genetic replicates. Measure provider costs, such as future fecundity and provisioning effort, because faster-growing offspring alone do not establish the evolutionary advantage of the provisioning behaviour.

The decisive result would connect provider genotype to a measured transfer difference and then experimentally connect that difference to recipient performance, independently of offspring genotype and food quantity. Negative outcomes remain informative: maternal influence without additive provider variance is a maternal effect without the demonstrated genetic component, while heritable provisioning effects without a material-mediated mechanism leave a genuine indirect genetic effect whose pathway is still unresolved.