Past exam of the zoology course of the University of Cambridge / 2025 / Paper zm5

There is no general basis for assigning behaviour a smaller causal role in macroevolution. Its immediate effects are usually easier to measure within populations, but those effects can alter lineage formation and persistence. The comparison needs a definition of “contribution”: the proportion of evolutionary changes initiated by behaviour, their magnitude, their necessity, or the strength of available evidence would give different answers. Microevolution concerns change within biological populations; macroevolution concerns patterns at and above the level of species, including speciation, adaptive radiation and extinction. They are connected processes with different objects of measurement.

At the population scale, animal behaviour changes who encounters which resources, survives, mates and reproduces. Habitat preference changes exposure to ecological natural selection; mate choice changes reproductive success; dispersal changes the spatial distribution of alleles. Behaviour can therefore affect the evolution of other traits even if the behaviour itself does not evolve. Conversely, an environmentally induced change in behaviour is not automatically evolutionary change. Learning and phenotypic plasticity can occur within one lifetime, whereas an evolutionary claim requires persistence through inherited differences or an explicitly specified process of cultural inheritance.

A simple population genetics calculation makes the distinction concrete. Let $x_i$ be an individual's number of copies of a focal allele, $w_i$ its contribution to reproduction, and $p=\mathbb{E}(x)/2$. With unbiased Mendelian segregation and no other transmission change, the expected allele frequency after selection satisfies:Behaviour can change $w$ and thereby change the covariance, whether selection acts directly on a behavioural difference or on another trait whose consequences depend on behaviour. The equation does not imply that every correlation between a behaviour and reproductive success is genetic: common environment, age and condition can generate such correlations. A common garden experiment, a pedigree and measurements across environments help identify the inherited component.

Behaviour may expose a previously uncommon phenotype to selection. Foraging in a new habitat can make a different resource profitable, after which selection can refine feeding structures or behavioural response thresholds. Laboratory competitions between spadefoot tadpoles from populations differing in expression of a carnivore ecomorph found differences in resource capture and morphology consistent with adaptive refinement of a formerly plastic response. Expression without the inducing cue also supported genetic assimilation. ^[ref] This is a combination of behaviour and development, not proof that behaviour universally comes first. Genetic accommodation requires evolution of the response, rather than assuming that an acquired habit is copied directly into DNA.

The opposite effect is also possible. Through phenotypic buffering, movement or flexible foraging may keep individuals in suitable conditions and reduce selection on physiological or morphological differences. Thus flexibility can promote occupation of a new environment, delay genetic divergence, or prevent local extinction. The sign depends on whether behaviour changes exposure to selection or allows animals to avoid it. A short-term adaptive response is consequently not evidence for a universal acceleration of evolutionary change.

At the boundary between populations and species, the behavioural effects are particularly direct. Assortative mating, host choice and learned signals can reduce gene flow. In the Big Bird lineage of Darwin's finches, field observations and genomic ancestry documented an immigrant Geospiza conirostris breeding with a resident Geospiza fortis and the formation of an endogamous descendant lineage. Song and distinctive morphology contributed to mating within that lineage. ^[ref] The evidence links immigration, hybridization and mate recognition to rapid reproductive separation; it does not show that song alone caused isolation or establish the lineage's indefinite future persistence. Nevertheless, behaviour participates in an event conventionally classified as macroevolution.

Over longer periods, these mechanisms can influence the rates of lineage origination and disappearance. Behaviour that permits colonization can expose populations to ecological opportunity and eventual adaptive radiation. Specialization in host use or mating signals can strengthen reproductive barriers. Conversely, costly reproductive competition or inflexible resource use can increase vulnerability. In fossil ostracods, greater sexual dimorphism was associated with greater estimated extinction risk, using carapace differences as a proxy for male reproductive investment. ^[ref] This is unusually direct evidence about actual lineage loss, but an anatomical proxy does not preserve courtship or experimentally isolate sexual selection from every correlated attribute. It supports a possible connection rather than a general law that strong sexual selection causes extinction.

Evaluating a claim about relative importance also requires correcting unequal evidence. Contemporary behavioural experiments can manipulate cues and follow reproduction, whereas most ancient behaviour must be inferred from traces, anatomy or living relatives. Living-only comparative studies omit extinct lineages and can confuse a trait associated with diversification with a trait that evolved after diversification. Comparisons should allow for shared ancestry, environmental opportunity and incomplete sampling, and distinguish an increased speciation rate from a reduced extinction rate. Counting observed behavioural changes over years against anatomical changes over millions of years is not a meaningful common denominator.

Behaviour has demonstrable population-level effects and plausible, sometimes well-documented effects on speciation and extinction. The stronger conclusion is that its evolutionary influence is context-dependent and transmitted across scales, while the evidence becomes harder to identify over deep time. A qualified statement about evidential accessibility is defensible; a general ranking of causal importance is not.

dispersal determines potential encounters and genetic exchange; mate preference helps determine which encounters become reproduction. speciation depends on the resulting gene flow and the evolution of barriers to it. None of the three can be understood simply from the distance animals move or from a laboratory preference score. Dispersal is movement, while gene flow requires genetic contribution to later generations. Mate preference is responsiveness to possible partners; realized mating also depends on encounter rate, competition, availability and acceptance by both sexes.

Reduced movement can allow populations to diverge through natural selection and genetic drift. During allopatric speciation, different environments, signal systems or histories can generate reproductive differences without continual exchange of alleles. At secondary contact, these differences may maintain isolation, permit extensive merging, or produce partial barriers. Current coexistence does not establish sympatric speciation: the populations may have diverged elsewhere. Conversely, appreciable movement need not prevent divergence if migrants seldom reproduce or their descendants perform poorly.

A small illustrative calculation shows why migrant numbers and effective contribution differ. Suppose migrants constitute a fraction $m$ of potential breeders, residents have reproductive weight one, and migrants have weight $a$ after mate acceptance, with equal survival and other fecundity. Their fraction of the successful breeding pool is then:For $m=0.2$ and $a=0.1$, this is $0.02/0.82=1/41\approx 0.0244$. These are invented values, not a migration estimate. The normalization matters, and the expression describes weighted breeders, not automatically ancestry in every offspring or a complete model of sex-specific mating. It nevertheless demonstrates why substantial dispersal can coexist with much smaller genetic exchange.

Movement is often nonrandom with respect to habitat. If animals select the resource on which they also meet mates, habitat preference produces assortative mating without an explicit preference for a partner's identity. In Rhagoletis pomonella, apple- and hawthorn-associated populations mate in relation to their hosts. Mark-and-recapture studies found that host fidelity substantially restricted exchange, while host preference and differences in emergence timing contributed to the barrier. ^[ref] The estimated exchange was not zero: the example concerns partial, measurable premating isolation, rather than complete reproductive closure. It also warns against equating geographic overlap of host plants with random encounters among insects.

Ecological specialization and mating can remain coupled when the same characteristic affects both, a magic trait, or when separate relevant loci are genetically linked. Pea-aphid mapping linked host-related adaptation and reproductive isolation, making Acyrthosiphon pisum an example in which host association has a genetic basis rather than being inferred solely from field distribution. ^[ref] A mapped association does not establish one causal mutation with several effects. Pleiotropy, tight genetic linkage and correlated environmental responses can produce similar phenotypic patterns and require different tests.

Direct preference for a signal creates another route. In Heliconius, wing patterns are involved in ecological interactions and mate recognition. Genetic crosses between Heliconius melpomene and Heliconius cydno mapped major effects on male courtship preference, including a region tightly linked to the colour-pattern locus Optix. ^[ref] Such coupling helps preserve associations between cues and preferences against genetic recombination. Yet the mapping interval is not an identified “speciation gene”, and a male's courtship duration can also depend on a female's response. Manipulated or artificial models, standardized females and reciprocal behavioural assays help separate visual preference from other interacting traits. Both sexes can exert choice; a female-choice-only account would miss this example.

The sensory environment can itself connect habitat and mate preference. Lake Victoria cichlids show associations among depth-related light conditions, visual-pigment variation, male colours and female preferences consistent with sensory drive. ^[ref] Preference need not begin as a direct mechanism to avoid hybrids: sensory adaptation for detecting resources can change the attractiveness of a mating signal. Changing the light environment can then weaken a previously effective colour barrier. Sensory sensitivity, signal appearance and preference are related measurements, however, and none should be substituted for an actual assay of mating or genetic exchange.

Dispersal can also create rather than dissolve reproductive novelty. Founders bring new combinations of signals and developmental backgrounds into contact, and hybridization can generate a distinct combination rather than merely homogenize populations. Alternatively, repeated immigration can swamp locally favoured alleles or continually break associations between signal and preference. The outcome depends on ecological selection, the genetic architecture of the barriers, recombination, density and mating costs, not on a universal migration threshold.

After contact, reinforcement can strengthen premating isolation if hybridization imposes a fitness cost and heritable mate discrimination reduces that cost. It requires selection against the consequences of interpopulation mating, not just a finding that sympatric individuals prefer their own type. Differences between contact and non-contact populations could instead reflect habitat, population history or differential survival. Common rearing, reciprocal crosses, controlled cue presentation and direct estimates of hybrid performance make the alternatives distinguishable. Migration can supply variation needed for such evolution while also eroding the resulting barrier.

The most informative research therefore measures the entire sequence: departure, movement, settlement, encounter, mating and descendant contribution. Tracking and mark–recapture reveal movement; choice and no-choice tests reveal different aspects of preference and acceptance; parentage and genomic ancestry reveal realized reproduction. A preference assay needs controls for condition, familiarity, developmental experience and stimulus intensity. Barriers operating at successive stages must be assessed conditionally, rather than adding percentage reductions that refer to different denominators. speciation becomes possible when ecological and mating processes maintain sufficiently persistent reproductive separation; dispersal and mate preference jointly determine that separation and can either strengthen or weaken it.

Sensory genetics shows that evolution can change receptor molecules, their expression and neural organization, and that the relation between genes and perception is neither one-to-one nor confined to protein-coding mutations. Genetic architecture concerns the number, effects, interactions and arrangement of contributing variants in a specified population and environment. Identifying a receptor is one achievement; explaining variation in sensory performance, its development and its evolutionary consequences requires several additional steps.

A foundational result is that a large sensory repertoire can arise by gene duplication followed by divergence. Cloning of human visual-pigment genes revealed related but distinct short-, medium- and long-wavelength-sensitive pigments, with particularly close sequence similarity between the latter two. ^[ref] This links colour vision to a history of related opsins, rather than requiring a wholly new biochemical mechanism for every sensitivity. However, additional gene copies need not produce additional functional sensory channels: copies can be lost, expressed together, or differ too little in sensitivity to support useful discrimination.

The distinction follows from the physics of receptor stimulation. In a simplified model, input to receptor class $i$ is proportional to:where $I$ is the light spectrum reaching the eye and $S_i$ its effective spectral sensitivity. Different spectra can produce the same $R_i$, so a single receptor cannot independently determine wavelength and intensity. Comparing multiple receptor classes allows more information, but the animal also needs suitable neural circuits, a decision process and an appropriate task. Thus an opsin sequence is not a complete description of a perceived colour, and a colour vision test must vary brightness to prevent intensity from supplying the answer.

Regulatory differences can be as important as changes in the receptor sequence. Crosses between cichlid species expressing different opsin combinations identified relatively few regions contributing to expression differences, including both cis-regulatory elements and trans-regulation. ^[ref] The same inherited receptor repertoire can therefore support different visual sensitivities through deployment of different members. A trans-acting regulator can coordinate several genes, whereas a local regulatory change can alter a more restricted expression pattern. These are mechanistic possibilities, not a rule that cis changes are always specific or trans changes always costly. Developmental stage and light exposure also matter, so comparisons need common rearing, matched ages and measurements beyond a single transcript sample.

Experimental addition of a receptor can test whether downstream processing can use the new input. Adding a human long-wavelength opsin to adult dichromatic Saimiri sciureus produced new colour-discrimination performance. ^[ref] The result challenges the assumption that a new sensory channel always requires a matching circuit assembled only in early development. It does not imply that every sensory deficit can be corrected this way or that the monkeys' subjective experience became identical to a human's. Stable pre-intervention performance, tests across chromatic directions and controls against brightness cues make the inference stronger than expression of the introduced gene alone.

Olfaction reveals a related architecture at a larger receptor repertoire. Molecular cloning identified a very large family of candidate olfactory receptor genes with expression in olfactory tissue. ^[ref] This supplies diversity of molecular recognition, but it does not imply one gene for every odour or one receptor for every behavioural response. Odour mixtures and concentrations can engage overlapping inputs, and the same sensory input can acquire different significance through context and learning. Establishing receptor function requires physiological responses to defined stimuli, appropriate expression controls and comparison with cells lacking the receptor.

genes also help organize the neural map receiving those inputs. Labelling mouse neurons expressing a particular receptor showed convergence at characteristic locations in the olfactory bulb. Receptor-swap experiments changed targeting, indicating a contribution of receptor identity to axon guidance. ^[ref] The receptor was not the sole determinant: the resulting projection was not simply an arbitrary map wholly specified by the substituted molecule. This connects molecular recognition with neural development and illustrates pleiotropy, while leaving room for other guidance mechanisms and activity-dependent refinement. A gene can influence the wiring through which its own sensory signal will be interpreted.

Sensory loss likewise need not mean simple destruction of a receptor gene. In cave populations of Astyanax mexicanus, increased embryonic Hedgehog signalling was associated with lens apoptosis and arrested eye development; experimental overexpression in surface fish reproduced important elements of the phenotype. ^[ref] Manipulating a developmental pathway therefore provides causal evidence beyond observing an association between cave residence and blindness. It does not identify every naturally selected causal variant, prove that eye reduction was directly favoured rather than indirectly associated with other traits, or establish the same mechanism in all cave populations. Developmental competence and the adult phenotype can differ substantially.

These findings also connect sensory genetics with speciation. In Lake Victoria cichlids, differences in the light environment, visual pigments, mating signals and preference were associated with reproductive differentiation. ^[ref] The connection is that selection on obtaining information can change the relative effectiveness of signals; it is not a claim that every opsin variant is an isolating barrier. One must separately establish expression, sensitivity, preference and reproductive consequences.

Several general methodological lessons follow. A quantitative trait locus is an interval associated with variation, not automatically the causal gene. A large detected effect does not exclude many small effects, and laboratory crosses may sample only a subset of natural variants. Fine mapping, allele replacement, reciprocal genetic backgrounds, a genetic rescue experiment and neural or behavioural measurements can connect successive causal steps. Pleiotropy, genetic linkage and environmental covariance require different explanations even when all produce correlated sensory traits. Conversely, absence of segregating variation in one laboratory stock says little about all evolutionary routes available to a lineage.

Lack of direct access to another animal's subjective experience limits some claims about consciousness, but does not prevent testable explanations of sensory processing, behavioural function or evolutionary history. The essential distinction is between occupying another individual's standpoint and explaining what information it acquires, how it uses that information, and the consequences for survival and reproduction. Thomas Nagel's argument concerns the subjective character of experience, rather than a claim that objective bat biology is inaccessible. ^[ref]

For behavioural biology, Tinbergen's four questions keep the explanatory targets separate. Mechanism asks what sensory and neural processes produce a response; development asks how it changes with maturation and experience; function asks how it affects performance or fitness; evolutionary history asks how it arose and differs among relatives. ^[ref] Not knowing a bat's exact experience does not make the latter questions equivalent to guessing its feelings. It does mean that a functional explanation, even a very successful one, is not by itself an explanation of the qualitative character of consciousness.

Echolocation illustrates substantial knowledge without shared phenomenology. Acoustic recordings and experiments on sensory access linked ultrasonic vocalization and hearing to obstacle avoidance in flying bats. ^[ref] Modern tests can vary echo delay, level or interference while measuring detection or flight responses. A prediction about ranging is available from propagation physics: for sound speed $c$, a round-trip echo delay $\tau$ from a stationary target at distance $r$ gives approximately:An illustrative $2\mathrm{ms}$ delay at $343\mathrm{m}{\mathrm{s}}^{-1}$ corresponds to $0.343\mathrm{m}$. The factor two comes from outward and return travel. Real ranging also depends on target motion, atmospheric conditions, filtering and the timing of emission. None of these testable relationships requires a scientist to experience an echo as the bat does.

The experimental controls matter because a successful animal can exploit an unintended cue. Changing a visual target might also change its acoustic reflection; changing an echo's delay might accidentally change its intensity. Appropriate comparisons manipulate the putative information while holding other cues constant, include sham manipulation, and measure baseline performance. A psychometric function across stimulus levels is more informative than a single success rate. Signal detection theory distinguishes sensitivity from response criterion, helping separate a sensory change from greater willingness to respond. Failure in an unfamiliar apparatus may reflect motivation or the required motor response rather than absence of the sensory capacity.

This approach also prevents treating human perception as the definition of available information. A stimulus invisible to us or outside our hearing range can be salient to the animal. The correct physical description must use the animal's receptors, spatial and temporal resolution, and ecological setting. Human photographs, displays and loudspeakers can omit relevant information or introduce artefacts. Conversely, an animal's failure to categorize objects in our preferred way need not show poor understanding: the experimental categories may not correspond to the distinctions its biology makes useful. Sensory ecology is therefore a substantive constraint on design, even though the animal's qualitative viewpoint remains partly inaccessible.

Causal intervention can connect sensory machinery to behaviour without settling phenomenology. The adult squirrel-monkey opsin-addition experiment demonstrated improved chromatic discrimination following a specified alteration of receptor input. ^[ref] That supports a functional inference about information use. It cannot report the appearance of the new colours to a monkey. Distinguishing these claims makes the experiment more, rather than less, informative: its conclusion is tied to an observable prediction instead of an assumed human-like experience.

Similarly, we can study affect-like influences on decisions without claiming to have measured a feeling directly. In bumblebees, unexpected sucrose reward altered responses to ambiguous cues, with evidence for a dopamine-dependent component and tests of behaviour in more than one context. ^[ref] Such judgement bias is evidence of an internal state influencing decisions; it is not a direct readout of happiness. Changes in activity, hunger, reward valuation or stimulus discrimination can produce superficially similar results and require control. Nor is an unexplained behavioural difference stronger evidence for subjective experience merely because an experimenter finds it familiar.

Evolutionary explanations require an additional bridge. Showing that a bat uses echoes establishes a mechanism; showing improved capture or obstacle avoidance under relevant conditions tests a current function. Demonstrating historical adaptation additionally requires comparisons, inherited variation and an account of the selection pressures or ancestry involved. One can test the prediction that signal structure differs with clutter or prey characteristics while allowing for shared ancestry and body size. A useful hypothesis should predict differences under specified circumstances, rather than explain every outcome retrospectively by invoking what the animal “wanted”.

There are nevertheless real limits. Different internal models can generate the same choice, and an animal cannot necessarily provide the linguistic reports that make some human experiments possible. Success with one discrimination does not reveal the complete content of a representation, and a neural correlate does not uniquely specify an experience. Questions about felt intensity, emotional quality or a reflective awareness of self demand converging behavioural and physiological evidence and may remain underdetermined. This is an epistemic limitation, not evidence that the corresponding experiences are absent.

A productive position avoids both unconstrained anthropomorphism and an equally unsupported denial of mental processing. Specify which sensory information or internal state the model requires, derive predictions, test alternatives and state the level of inference. We can explain much of the evolution and function of animal behaviour through objective relationships among information, decisions and fitness, while remaining uncertain about precisely what those processes feel like to the animal. The residual uncertainty should limit the wording of our conclusions and improve experimental design, rather than stop the research.

Non-human animals show evidence for several components of social-state tracking, but the evidence does not establish a uniform, human-like theory of mind. Theory of mind should be decomposed into sensitivity to goals, visual access, knowledge and belief, rather than treated as a single ability that an animal either possesses or lacks. The central evidential question is whether behaviour requires representing another's mental state, or can be explained by learned relationships among observable actions, contexts and outcomes.

Goal attribution has support from experiments distinguishing similar outcomes produced by different actions. Chimpanzees responded differently to a person who was unwilling to transfer food and one who was willing but unable: they persisted differently and left earlier in the unwilling condition. ^[ref] Holding the absence of food transfer broadly constant prevents the explanation that any unrewarded trial produces the same reaction. The contrast supports sensitivity to the organization or apparent purpose of actions. However, differences in movement and affect remain observable cues, so the finding need not imply a fully explicit concept of intention. Generalization to new obstacles and action sequences is a stronger test than repeating familiar signals.

Visual perspective taking concerns another individual having a different view. When dominant and subordinate chimpanzees competed for food, subordinates preferentially obtained food to which they had better visual access. Giving the subordinate a headstart forced its choice before the dominant's approach could reveal the answer, reducing a straightforward movement-following explanation. ^[ref] Such controls support tracking of another's visual access. They do not show that the subject represents every aspect of how the scene looks to the other animal; access to an object is a narrower problem than its appearance from a different viewpoint.

The distinction extends from seeing to knowing. An animal can potentially remember whether another witnessed hiding even after neither currently sees the food. Controlled competitive tasks found chimpanzees sensitive to knowledge versus ignorance, yet not successful in closely related false-belief conditions. ^[ref] Knowledge attribution therefore has stronger support in those tasks than an unrestricted ability to predict action from mistaken beliefs. Negative performance is not proof of incapacity: memory, inhibitory demands, motivation and task comprehension may limit the response. But a positive result for knowledge should not be relabelled a positive result for belief simply because both are social.

Bird studies provide evidence beyond primates. Ravens that had experienced a peephole altered cache-protection behaviour when a potential observer could be heard but not seen. The use of recorded sounds removed an actual competitor's gaze and movements as immediate guides, and the manipulation of available visual access made the test more informative than comparison of merely occupied and empty rooms. ^[ref] This supports generalization from access conditions to a possible observer. It remains possible to model performance through learned relations between openings, sounds and risk; novel transfer tests are needed to distinguish how abstractly the bird represents “being seen”.

Experience with one's own actions can also change responses to others. Scrub jays with previous pilfering experience showed stronger re-caching responses after having been observed caching. ^[ref] One interpretation is projection of the bird's own pilfering experience onto a potential competitor. Another is acquisition of a more general rule about cache vulnerability. The finding makes prior experience a causal candidate and suggests a relation between self and other, but it does not establish that the bird consciously imagines another individual's intentions. Observed and unobserved caching, prior experience and the opportunity to relocate food all need to be distinguished.

False-belief understanding sets a particularly demanding criterion: the subject must predict an agent using information that the subject knows is wrong. In great apes, an anticipatory looking paradigm found looks towards the location where an agent falsely believed an object remained, even when the subject had seen the object's removal. ^[ref] This bypasses some demands of an active food-choice response. Yet gaze towards a previously attended location can also arise from action prediction, attentional cues or associations with where an actor last saw an object. Anticipation is therefore evidence about prediction, whose representational basis needs further controls.

A subsequent experiment manipulated the ape's own experience of a barrier that looked the same from a distance but was either opaque or translucent. All subjects then watched the same test actions. Those with the opaque experience were more likely to anticipate the actor searching according to the outdated location. ^[ref] Because the visible test behaviour was held constant, an explanation relying only on a difference in the actor's immediate behaviour was weakened. The result supports transfer from self-experience to another's informational situation. It still leaves questions about the breadth of the represented belief: a limited model of visual registration and action expectation may succeed without the flexible propositional reasoning characteristic of human language.

Taken together, positive anticipatory-looking results and negative active-choice results need not be forced into a single yes/no answer. The tasks measure different outputs and impose different demands. Stronger evidence would show the same individuals generalizing across novel agents, objects and routes of access, distinguishing true belief, false belief and ignorance while physical events, attention and rewards are controlled. Eye-tracking analyses should specify regions and timing in advance, report the subjects who produce no usable anticipatory look, and avoid inferring population-wide competence solely from a selected subset of trials. Replication and uncertainty around effects matter especially with small captive samples.

The relation to self-representation is similarly componential. Using one's experience of a transparent barrier to predict another's access suggests some correspondence between self and other. It does not demonstrate an autobiographical self or reflection on one's own beliefs. Metacognition, such as selective information seeking when knowledge is missing, concerns monitoring one's own processing and is not equivalent to attributing knowledge to somebody else. Mirror self-recognition concerns one's body and is neither a necessary consequence nor a sufficient demonstration of belief attribution. These distinctions prevent a visually based test from becoming a universal scale of mentality.

The defensible conclusion is a mosaic: animals can track goals and access, some experiments support knowledge attribution and belief-sensitive predictions, and the most elaborate interpretation remains contested. The experiments constrain possible representations of self and others; their value lies in progressively excluding alternatives, rather than naming a mental state after any apparently intelligent social response.

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.