References
American Society for Cell Biology 2012 San Francisco declaration on research assessment (accessed 24 December 2016) (http://am.ascb.org/dora).
Archana N. 2010 The genetic architecture of fitness-related traits in populations of three species of Drosophila subjected to selection for adaptation to larval crowding. Ph.D. thesis, Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluru, India.
Balaram P. 2013 Research assessment: declaring war on the impact factor. Curr. Sci. 104, 1267–1268.
Bateson W. 1894 Materials for the study of variation, treated with especial regard to discontinuity in the origin of species. Macmillan, London, UK.
Bodmer W. F. and Felsenstein J. 1967 Linkage and selection: theoretical analysis of the deterministic two locus random mating model. Genetics 57, 237–265.
Borash D. J., Gibbs A. G., Joshi A. and Mueller L. D. 1998 A genetic polymorphism maintained by selection in a temporally varying environment. Am. Nat. 151, 148–156.
Borenstein E., Kendal J. and Feldman M. 2006 Cultural niche construction in a metapopulation. Theor. Popul. Biol. 70, 92–104.
Brodie III E. D. 2005 Caution: niche construction ahead. Evolution 59, 249–251.
Christiansen F. B. 1990 The generalized multiplicative model for viability selection at multiple loci. J. Math. Biol. 29, 99–129.
Connelly B. D., Dickinson K. J., Hammarlund S. P. and Kerr B. 2016 Negative niche construction favors the evolution of cooperation. Evol. Ecol. 30, 267–283.
Creanza N. and Feldman M. W. 2014 Complexity in models of cultural niche construction with selection and homophily. Proc. Natl. Acad. Sci. USA 111, 10830–10837.
Danchin E. and Wagner R. H. 2010 Inclusive heritability: combining genetic and non-genetic information to study animal behavior and culture. Oikos 119, 210–218.
Danchin E., Charmantier A., Champagne F. A., Mesoudi A., Pujol B. and Blanchet S. 2011 Beyond DNA: integrating inclusive inheritance into an extended theory of evolution. Nat. Rev. Genet. 12, 475–486.
Darwin C. 1859 On the origin of species by means of natural selection, or the preservation of favoured races in the struggle for life. John Murray, London, UK.
Darwin C. 1881 The formation of vegetable mould through the action of worms, with observations on their habits. John Murray, London, UK.
Dawkins R. 2004 Extended phenotype – but not too extended. Biol. Philos. 19, 377–396.
Dercole F., Irrison J-O. and Rinaldi S. 2003 Bifurcation analysis of a predator-prey coevolution model. SIAM J. Appl. Math. 63, 1378–1391.
De Vries H. 1909 The mutation theory: experiments and observations on the origin of species in the vegetable kingdom (J. B. Farmer and A. D. Darbishire, translators). Pen Curt, Chicago, USA.
Dickins T. E. 2005 On the aims of evolutionary theory. Evol. Psychol. 3, 79–84.
Diehl S. R. and Bush G. L. 1989 The role of habitat preference in adaptation and speciation. In Speciation and its consequences (ed. D. Otte and J. E. Endler), pp. 345–365. Sinauer, Sunderland, USA.
Dobzhansky T. 1937 Genetics and the origin of species. Columbia University Press, New York, USA.
Edwards A. W. F. 2014 R.A. Fisher’s gene-centred view of evolution and the fundamental theorem of natural selection. Biol. Rev. 89, 135–147.
Endler J. A. 1986 The newer synthesis? Some conceptual problems in evolutionary biology. Oxf. Surv. Evol. Biol. 3, 224–243.
Falconer D. S. 1960 Introduction to quantitative genetics. Oliver and Boyd, Edinburgh, UK.
Feldman M. W. and Cavalli-Sforza L. L. 1976 Cultural and biological evolutionary processes, selection for a trait under complex transmission. Theor. Popul. Biol. 9, 238–259.
Feldman M. W., Lewontin R. C., Franklin I. R. and Christiansen F. B. 1975 Selection in complex genetic systems III. An effect of allele multiplicity with two loci. Genetics 79, 333–347.
Fisher R. A. 1918 The correlation between relatives on the supposition of Mendelian inheritance. Trans. R. Soc. Edinburgh 52, 399–433.
Fisher R. A. 1930 The genetical theory of natural selection: a complete variorum edition. Oxford University Press, Oxford, UK.
Fisher R. A. 1941 Average excess and average effect of a gene substitution. Ann. Eugen. 11, 53–63.
Frank S. A. 1995 George Price’s contributions to evolutionary genetics. J. Theor. Biol. 175, 373–388.
Gandon S., Buckling A., Decaestecker E. and Day T. 2008 Host-parasite coevolution and patterns of adaptation across time and space. J. Evol. Biol. 21, 1861–1866.
Garland T. and Rose M. R. 2009 Experimental evolution. University of California Press, Oakland, USA.
Gavrilets S. 2006 The Maynard Smith model of sympatric speciation. J. Theor. Biol. 239, 172–182.
Gayon J. 1998 Darwinism’s struggle for survival. Cambridge University Press, Cambridge, UK.
Han X., Li Z., Hui C. and Zhang F. 2006 Polymorphism maintenance in a spatially structured population: a two-locus genetic model of niche construction. Ecol. Modell. 192, 160–174.
Han X., Hui C. and Zhang Y. 2009 Effects of time-lagged niche construction on metapopulation dynamics and environmental heterogeneity. Appl. Math. Comput. 215, 449–458.
Hastings A. 1981 Simultaneous stability of \(D = 0\) and \(D\ne 0\) for multiplicative viabilities at two loci: an analytical study. J. Theor. Biol. 89, 69–81.
Hartl D. L. and Clark A. G. 1989 Principles of population genetics, 2nd edition. Sinauer, Sunderland, USA.
Hayes M. B. 1983 Darwin’s ‘vegetable mould’ and some modern concepts of humus structure and soil aggregation. In Earthworm ecology: from Darwin to vermiculture (ed. J. E. Satchell), pp. 19–33. Chapman & Hall, London, UK.
Head M. L., Holman L., Lanfear R., Kahn A. T. and Jennions M. D. 2015 The extent and consequences of \(p\)-hacking in science. PLoS Biol. 13, e1002106.
Horton R. 2015 Offline: what is medicine’s 5 sigma? Lancet 385, 1380.
Hui C. and Yue D. 2005 Niche construction and polymorphism maintenance in metapopulations. Ecol. Res. 20, 115–119.
Hui C., Li Z. and Yue D. X. 2004 Metapopulation dynamics and distribution, and environmental heterogeneity induced by niche construction. Ecol. Modell. 177, 107–118.
Ioannidis J. P. A. 2005 Why most published research findings are false. PLoS Med. 2, e124.
Karlin S. 1975 General two-locus selection models: some objectives, results and interpretations. Theor. Popul. Biol. 7, 364–398.
Karlin S. and Feldman M. W. 1970 Linkage and selection: two locus symmetric viability model. Theor. Popul. Biol. 1, 39–71.
Karlin S. and Liberman U. 1979 Central equilibria in multilocus systems. I. Generalized nonepistatic selection regimes. Genetics 91, 777–798.
Kingsland S. 1982 The refractory model: the logistic curve and the history of population ecology. Quart. Rev. Biol. 57, 29–52.
Kirkpatrick M. and Lande R. 1989 The evolution of maternal characters. Evolution 43, 485–503.
Krakauer D. C., Page K. M. and Erwin D. H. 2009 Diversity, dilemmas and monopolies of niche construction. Am. Nat. 173, 26–40.
Kylafis G. and Loreau M. 2008 Ecological and evolutionary consequences of niche construction for its agent. Ecol. Lett. 11, 1072–1081.
Laland K. N. 2015 On evolutionary causes and evolutionary processes. Behav. Process. 117, 97–104.
Laland K. N. and Sterelny K. 2006 Perspective: seven reasons (not) to neglect niche construction. Evolution 60, 1751–1762.
Laland K. N., Odling-Smee F. J. and Feldman M. W. 1996 The evolutionary consequences of niche construction: a theoretical investigation using two-locus theory. \(J\). Evol. Biol. 9, 292–316.
Laland K. N., Odling-Smee F. J. and Feldman M. W. 1999 Evolutionary consequences of niche construction and their implications for ecology. Proc. Natl. Acad. Sci. USA 96, 10242–10247.
Laland K. N., Odling-Smee F. J. and Feldman M. W. 2000 Niche construction, biological evolution and cultural change. Behav. Brain. Sci. 23, 131–175.
Laland K. N., Odling-Smee F. J. and Feldman M. W. 2001 Cultural niche construction and human evolution. \(J\). Evol. Biol. 14, 22–33.
Laland K. N., Odling-Smee F. J. and Feldman M. W. 2005 On the breadth and significance of niche construction: a reply to Griffiths, Okasha and Sterelny. Biol. Philos. 20, 37–55.
Laland K. N., Odling-Smee F. J. and Gilbert S. F. 2008 EvoDevo and niche construction: building bridges. J. Exp. Zool. (Mol. Dev. Evol.) 310B, 549–566.
Laland K. N., Boogert N. and Evancs C. 2014a Niche construction, innovation and complexity. Env. Innov. Societ. Transitions 11, 71–86.
Laland K. N., Odling-Smee J. and Turner S. 2014b The role of internal and external constructive processes in evolution. \(J\). Physiol. 592, 2413–2422.
Laland K. N., Uller T., Feldman M. W., Sterelny K., Müller G. B., Moczek A. et al. 2014c Does evolutionary theory need a rethink? Yes, urgently. Nature 514, 161–164.
Laland K. N., Uller T., Feldman M. W., Sterelny K., Müller G. B., Moczek A. et al. 2015 The extended evolutionary synthesis: its structure, assumptions and predictions. Proc. R. Soc. B 282, 20151019.
Laland K. N., Matthews B. and Feldman M. W. 2016 An introduction to niche construction theory. Evol. Ecol. 30, 191–202.
Lawrence P. A. 2003 The politics of publication. Nature 422, 259–261.
Lee K. E. 1985 Earthworms: their ecology and relation with soil and land use. Academic Press, London, UK.
Lehmann L. 2007 The evolution of trans-generational altruism: kin selection meets niche construction. \(J\). Evol. Biol 20, 181–189.
Lehmann L. 2008 The evolutionary dynamics of niche constructing traits in spatially subdivided populations: evolving posthumous extended phenotypes. Evolution 62, 546–566.
Lewontin R. C. 1983 Gene, organism, and environment. In Evolution from molecules to men (ed. D. S. Bendall), pp. 273–285. Cambridge University Press, Cambridge, UK.
Lewontin R. C. 2000 The triple helix: gene, organism, and environment. Harvard University Press, Cambridge, USA.
Maes M. 2015 A review on citation amnesia in depression and inflammation research. Neuroendocrinol. Lett. 36, 1–6.
Malthus T. R. 1798 An essay on the principle of population, as it affects the future improvement of society. Johnson, London, UK.
Maynard Smith J. 1966 Sympatric speciation. Am. Nat. 100, 637–650.
Mayr E. 1961 Cause and effect in biology. Science 134, 1501–1506.
Mueller L. D., Rauser C. L. and Rose M. R. 2005 Population dynamics, life history and demography: lessons from Drosophila. Adv. Ecol. Res. 37, 77–99.
Nagarajan A., Natarajan S. B., Jayaram M., Thammanna A., Chari S., Bose J., Jois S. V. and Joshi A. 2016 Adaptation to larval crowding in Drosophila ananassae and Drosophila nasuta: increased larval competitive ability without increased larval feeding rate. J. Genet. 95, 411–425.
O’Brien M. J. and Laland K. N. 2012 Genes, culture and agriculture, an example of human niche construction. Curr. Anthropol. 53, 434–470.
Odling-Smee F. J. 1988 Niche constructing phenotypes. In The role of behavior in evolution (Plotkin H. C., ed.), pp. 73–132. MIT Press, Cambridge, USA.
Odling-Smee F. J., Laland K. N. and Feldman M. W. 1996 Niche construction. Am. Nat. 147, 641–648.
Odling-Smee F. J., Laland K. N. and Feldman M. W. 2003 Niche construction: the neglected process in evolution. Princeton University Press, Princeton, USA.
Odling-Smee F. J., Erwin D. H., Palcovaks E. P., Feldman M. W. and Laland K. N. 2013 Niche construction theory: a practical guide for ecologists. Quart. Rev. Biol. 88, 3–28.
Okasha S. 2005 On niche construction and extended evolutionary theory. Biol. Philos. 20, 1–10.
Prasad N. G., Dey S., Joshi A. and Vidya T. N. C. 2015 Rethinking inheritance, yet again: inheritomes, contextomes and dynamic phenotypes. \(J\). Genet. 94, 367–376.
Quetelet A. 1835 Sur l’homme et le développement de ses facultés: ou Essai de physique sociale. Bachelier, Paris, France.
Rausher M. D. 1984 The evolution of habitat selection in subdivided populations. Evolution 38, 596–608.
Richards R. J. 2008 The tragic sense of life: Ernst Haeckel and the struggle over evolutionary thought. The University of Chicago Press, Chicago, USA.
Robinson K. A. and Goodman S. N. 2011 A systematic examination of the citation of prior research in reports of randomized, controlled trials. Ann. Intern. Med. 154, 50–55.
Sarangi M., Nagarajan A., Dey S., Bose J. and Joshi A. 2016 Evolution of increased larval ability in Drosophila melanogaster without increased larval feeding rate. \(J\). Genet. 95, 491–503.
Scott-Phillips T. C., Laland K. N., Shuker D. M., Dickins T. E. and West S. A. 2014 The niche construction perspective: a critical appraisal. Evolution 68, 1231–1243.
Silver M. and Di Paolo E. A. 2006 Spatial effects favour the evolution of niche construction. Theor. Popul. Biol. 70, 387–400.
Smaldino P. E. and McElreath R. 2016 The natural selection of bad science. R. Soc. Open Sci. 3, 160384.
Song F., Parekh S., Hooper L., Loke Y. K., Ryder J., Sutton A. J., Hing C., Kwok C. S., Pang C. and Harvey I. 2010 Dissemination and publication of research findings: an updated review of related biases. Health Technol. Assess. 14, 1–193.
Teixeira M. C., Thomaz S. M., Michelan T. S., Mormul R. P., Meurer T., Fasolli J. V. B. and Silveira M. J. 2013 Incorrect citations give unfair credit to review authors in ecology journals. PLoS One 8, e81871.
Thompson J. N. 1994 The coevolutionary process. The University of Chicago Press, Chicago, USA.
Thompson J. N. 2005 The geographic mosaic of coevolution. The University of Chicago Press, Chicago, USA.
Thompson J. N. 2013 Relentless evolution. The University of Chicago Press, Chicago, USA.
Van Dyken J. D. and Wade M. J. 2012 Origins of altruism diversity II: runaway coevolution of altruistic strategies via “reciprocal niche construction”. Evolution 66, 2498–2513.
Van Valen L. 1973 A new evolutionary law. Evol. Theor. 1, 1–30.
Wallach E. 2016 Niche construction theory as an explanatory framework for human phenomena. Synthese 193, 2595–2618.
Zhang F., Tao Y. and Hui C. 2012 Organism-induced habitat restoration leads to bi-stability in metapopulations. Math. Biosci. 240, 260–266.
Acknowledgements
This is contribution no. 2 from the Foundations of Genetics and Evolution Group (FOGEG). FOGEG is an informal association of SD, AJ, NGP and TNCV (and, sometimes, some of their students) getting together periodically to work on conceptual issues at the foundations of genetics and evolutionary biology. All four FOGEG authors contribute equally to the manuscripts and the sequence of these four authors is chosen at random for each submission. The last author acts as corresponding author for that submission. AJ thanks the Department of Science and Technology, Government of India, for support through a J. C. Bose Fellowship. SD, NGP and TNCV thank IISER Pune, IISER Mohali, and JNCASR, respectively, for in-house funding. MG is supported by a scholarship from JNCASR. We also thank three anonymous reviewers for helpful comments on the manuscript.
Author information
Authors and Affiliations
Corresponding author
Appendices
Appendix 1
Models of niche construction
Here we discuss, the three early and often cited models of niche construction that have been described as extending the understanding possible through SET, and as constituting an extensive body of formal theory (Laland et al. 2016). Two of these models (Laland et al. 1996, 1999) are based on standard diallelic two-locus population genetic models with multiplicative fitnesses (general discussion in Hartl and Clark 1989), where one locus specifies a niche constructing phenotype which, in turn, affects fitness through genotypes at the second locus as a result of the specific environmental perturbations it causes. The third model (Laland et al. 2001) is a gene-culture coevolution model where the niche constructing trait is culturally inherited. We start by describing the diallelic two-locus genetic models (Laland et al. 1996, 1999). This appendix is aimed at readers familiar with population genetics models to show clearly how these foundational NCT models do not add anything substantial to what is already known from standard two-locus viability selection models incorporating frequency-dependent and epistatic effects on fitness.
Genetic models
In these models, the niche constructing activity is controlled by a locus labelled E. At this locus, there are two alleles, E and e, and the niche constructing ability of the population, reflected entirely by resource levels, is directly proportional to the frequency of the allele E, given by p. A resource, R, is defined such that its amount is directly proportional to the niche constructing activities of the present and past generations. In the first model (Laland et al. 1996), R depends on n previous generations of niche construction and the n generations can either weigh in equally, or there can be recency or primacy effects. A recency effect entails generations closer to the present generation having a larger effect on R than the ones further in the past. A primacy effect entails generations further into the past having a larger effect on R than the ones which are more recent. In the second model (Laland et al. 1999), R is also affected by autonomous ecological mechanisms of resource depletion or recovery, besides the niche constructing activity of the population. In this case, R is given by the following recursion equation:
where \(R_{t}\) is the amount of resource in the present generation, \(R_{t-1}\) is the amount of resource in the previous generation, \(\lambda _{1}\) determines independent depletion, \(\lambda _{2}\) determines effect of positive niche construction, \(\lambda _{3}\) determines independent renewal, and \(\gamma \) determines effect of negative niche construction. In both models, R is constrained to be between 0 and 1 \((0<R<1)\) and the value of R determines fitness through genotypes at a second locus, A, with alleles, A and a. A is favoured when R is high (above 0.5), whereas a is favoured when R is low (below 0.5). The two-locus genotypic fitnesses are given in table 1 in terms of R and marginal one locus genotypic fitnesses.
In table 1, \(\varepsilon \) gives the strength and direction of niche construction \((-1<\varepsilon <1)\). The two locus gametic frequencies are given by \(x_{1}\), \(x_{2}\), \(x_{3}\), and \(x_{4}\) for EA, Ea, eA, and ea, respectively. The recombination rate is given by r. Then, the gametic recursions are given by:
where \(x_{1}^{*}\), \(x_{2}^{*}\), \(x_{3}^{*}\), and \(x_{4}^{*}\) are two locus gametic frequencies in the next generation, and D is the linkage disequilibrium given by,
and W, the mean fitness of the population, is the sum of all the right-hand sides in the gametic recursions. The dynamics of this model were studied under four conditions, namely, no external selection at E or A loci, external selection at the A locus, external selection at the E locus, and overdominance at both loci.
No external selection
No external selection means that frequency of the E allele remains constant \(( \alpha _{1} = \beta _{1} = \alpha _{2} = \beta _{2} = 1)\). Thus, the amount of resource remains constant in the first model and attains an equilibrium value in the second model. If these values are above 0.5, then allele A gets fixed and otherwise allele a gets fixed due to the selection generated by niche construction. The line, \(R = 0.5\), defines a neutrally stable equilibrium in both models. Fixation of allele A is unstable below \(R = 0.5\) and fixation of allele a is unstable above \(R = 0.5\).
External selection at the E locus
If selection favours allele \(E\, (\alpha _{1}> 1 > \beta _{1}\), \(\alpha _{2} = \beta _{2} = 1)\), alleles E and A get fixed \((x_{1} = 1)\) if \(\varepsilon \) is positive and alleles E and a get fixed \((x_{2} = 1)\) if \(\varepsilon \) is negative. If selection favours allele \(e \,(\alpha _{1}< 1 < \beta _{1}\), \(\alpha _{2} = \beta _{2} = 1)\), alleles e and a get fixed \((x_{4} = 1)\) if \(\varepsilon \) is positive and alleles e and A get fixed \((x_{3} = 1)\) if \(\varepsilon \) is negative. In the model with independent renewal and depletion of R, an additional caveat on the result is whether R is less than one half or more at the fixation value of E or e, respectively. Allele A gets fixed if \(R> 1/2\) at fixation of either allele at the E locus, whereas allele a gets fixed if \(R < 1/2\). A range of polymorphic equilibria are obtained if \(R = 1/2\).
In the first model, if more than one previous generation of niche construction affects \(R\, (n > 1)\), then time lags between the start of selection at locus E and response at locus A can occur as R builds up slower than the rate of fixation at locus E. This evolutionary inertia is largest when there is a primacy effect and smallest when there is a recency effect. A similar process can lead to an evolutionary momentum type of effect as well when the selection at locus E stops or reverses because there is a lag between the frequency of allele E and the amount of resource accumulated. Such effects are not seen in the second model as there are no primacy effects in it. But, they can be obtained by making \(\lambda _{2} = 1/n\), i.e., a primacy effect.
In the second model, the rate of fixation of allele A when allele E is being favoured by external selection is dependent on magnitude of the impact of niche construction on the resource \(( \lambda _{2})\). Increasing the value of \(\lambda _{2}\) increases the value of R, and, if R is near 1, this reduces the difference in fitness between the genotypes AaEE and aaEE, thus, remarkably reducing the rate of fixation of allele A.
External selection at the A locus
In the first model, if external selection favours allele \(A \,( \alpha _{1} = \beta _{1} = 1\), \(\alpha _{2}> 1 > \beta _{2})\) and there is no niche construction \((\varepsilon = 0)\), or selection due to it is very weak \((1-\alpha _{2}< \varepsilon < 1- \beta _{2})\), allele A always gets fixed if it is present. Near \(x_{4} = 1\), if \(\varepsilon > 1-\beta _{2}\), fixation of allele a is neutrally stable. A set of polymorphic equilibria are possible near \(x_{1} = 1\), with alleles e and a increasing, if \(1-\alpha _{2}> \varepsilon \).
In the second model, if external selection favours allele \(A\, ( \alpha _{1} = \beta _{1} = 1\), \(\alpha _{2}> 1 > \beta _{2})\) and is weak, niche construction is positive \((\lambda _{2} > 0\), \(\gamma = 0)\), and \(\varepsilon \) is greater than zero, then for small values of R selection due to niche construction can take allele a to fixation. Also, there are a range of values of R, for which stable equilibria for fixation of alleles A and a overlap. If external selection is strong then fixation of allele a becomes less probable. If niche construction is negative \((\lambda _{2} = 0\), \(\gamma > 0)\) fixation of allele a still happens at low values of R, but, now those correspond to higher values of p instead of lower in the case of positive niche construction. For negative values of \(\varepsilon \) and positive niche construction, fixation of both a and A alleles becomes unstable and a set of stable polymorphisms are possible. If niche construction becomes negative, stable polymorphisms are possible near \(x_{3} = 1\) and allele A gets fixed for rest of the parameter space.
Overdominance at both loci
Diallelic two locus viability models can have a maximum of four gamete fixation states, four allelic fixation states, and seven interior fixation states (Karlin 1975). The results from overdominance \((\alpha _{1}\), \(\alpha _{2}\), \(\beta _{3}\), \(\beta _{4} < 1)\) are too complicated and varied to go into detail here, but generally, the effect of niche construction is to move the interior polymorphic equilibria and the edge equilibria (when they exist) towards higher values of q, when R is more than one half and towards lower values of q when R is less than one half. The magnitude of shift depends on the how far frequency of allele E is from one half. For high values of \(\varepsilon \) the edge equilibria can even merge with the respective gamete fixation states. For tightly linked loci (small r), niche construction can either increase or decrease linkage disequilibrium at genetic equilibrium. Equilibrium frequencies of allele E greater than one half \((p > 1/2)\) result in increase in equilibrium frequencies of gametes AE and Ae and equilibrium frequencies of allele E less than one half \((p> 1/2)\) result in decrease in equilibrium frequencies of gametes aE and ae. In the second model, these effects of niche construction persist, for some sets of parameter values, even when there is external renewal or depletion of the resource.
It is important to note that these two models have different meanings of positive and negative niche construction (Laland et al. 2005). For the first model, positive niche construction \(( \varepsilon > 0)\) means that increase in R increases the fitness of allele A. For the second model, positive niche construction implies that \(\lambda _{2} > 0\), \(\gamma = 0\); negative niche construction implies that \(\lambda _{2} = 0\), \(\gamma > 0\), meaning that increase in frequency of allele \(E \,(\,p)\) results in an increase in R, even though the sign of \(\varepsilon \) still mediates the effect of R on selection at the A locus.
Cultural model
We turn now to the third model in which the niche constructing trait is culturally inherited. A niche constructing trait E with variants E and e is postulated as a culturally inherited trait. A resource R depends on either n previous generations of niche construction, i.e., the frequency of trait variant E(x) (model 1), or on niche construction and independent renewal or depletion following the same equation for R as in the second model (model 2). A genetic locus A is postulated with alleles A and a, and its fitness is affected by amount of resource present with allele A being favoured when \(R > 1/2\) and allele a being favoured when \(R < 1/2\). The six pheno-genotypes, AAE, AAe, AaE, Aae, aaE and aae, have frequencies \(z_{1}{-}z_{6}\) and their fitnesses are given in table 2. Rules for vertical cultural transmission are given in table 3.
Three specific cultural transmission scenarios were analysed: unbiased transmission \((b_{3} = 1\), \(b_{2}=b_{1} = 0.5\), \(b_{0} = 0)\), biased transmission \((b_{3} = 1\), \(b_{2}=b_{1}=b\), \(b_{0} = 0\), \(b\ne 0.5)\), and incomplete transmission \((b_{3} = 1 - \delta \), \(b_{2}=b_{1}=b\), \(b_{0} = \delta \), \(\delta > 0)\). For ease of analysis, the recursions were written in terms of allelo-phenotypic frequencies, namely, AE, aE, Ae, and ae (for the equations see Laland et al. 2001). Similar results were obtained for both model 1 and model 2 unless otherwise stated.
No external selection
For unbiased transmission, the results for model 1 are analogous to Laland et al. (1996; see above) and the results for model 2 are analogous to Laland et al. (1999; see above).
For biased transmission, frequency of trait E increases if \(b > 0.5\) and that of trait e increases if \(b < 0.5\). For positive values of \(\varepsilon \) and \(b< 0.5\), ae is fixed at equilibrium values of \(R < 0.5\) and Ae is fixed at equilibrium values of \(R > 0.5\). If \(b > 0.5\), trait E gets fixed instead of trait e. Symmetric results are obtained when \(\varepsilon \) is negative.
For incomplete transmission, when \(\delta > 0\) and \(b = 0.5\) the cultural trait remains polymorphic and a line of neutrally stable equilibria is obtained for locus A. If \(b \ne 0\) and \(\varepsilon \) is positive allele A gets fixed for equilibrium values of \(R > 0.5\) and allele a get fixed for equilibrium values of \(R < 0.5\). Symmetric results are obtained when \(\varepsilon \) is negative.
External selection at the A locus
Again, for unbiased transmission, the results for model 1 are analogous to Laland et al. (1996; see above) and the results for model 2 are analogous to Laland et al. (1999; see above).
For biased transmission, when cultural transmission favours trait \(E\, (b > 0.5)\) and \(\varepsilon \) is positive, whether external selection at the A locus is opposed or not depends on the value of R at fixation of trait E. The positive \(\varepsilon \) and increasing frequency of trait E make it improbable that R will be lower than 0.5 at equilibrium. For cultural transmission favouring trait \(e\, (b < 0.5)\), R ends up being low enough for fixation of allele a instead of A more often. When \(\varepsilon \) is negative, three polymorphic equilibria are possible depending on value of R, namely, fixation of AE, fixation of aE, or an equilibrium polymorphic for alleles A and a. Symmetrically opposite results are obtained when niche construction is negative, i.e., trait E is responsible for depletion of the resource.
For incomplete transmission, a polymorphism for the cultural trait is obtained, and if \(\varepsilon \) is positive, either of the alleles A or a get fixed, depending on value of R at the equilibrium frequency of the cultural trait. If \(\varepsilon \) is negative, a fully polymorphic equilibrium is possible for very high values of R at equilibrium.
Selection at the cultural trait
Again, for unbiased transmission, the results for model 1 are analogous to Laland et al. (1996; see above) and the results for model 2 are analogous to Laland et al. (1999; see above).
For biased transmission, when natural selection and transmission bias reinforce each other by either favouring \(E\, ( \alpha _{1}> 1 > \alpha _{2}\); \(b > 0.5)\) or \(e\, (\alpha _{1}< 1 < \alpha _{2}\); \(b < 0.5)\), AE or ae get fixed for positive values of \(\varepsilon \). When these processes work against each other than their relative strength determines the final equilibrium. In such a scenario, cultural transmission can fix the trait which is not favoured by selection, if transmission bias is strong enough.
For incomplete transmission, the frequency of the cultural trait is given by a cubic equation (see Laland et al. 2001). For model 1, if \(n > 1\) then time lags are obtained as in the analogous genetic model (Laland et al. 1996). The length of the time lag depends on both the selection coefficients and transmission bias with cultural transmission usually shortening the lags as compared to completely genetic models.
Overdominance at the A locus
For unbiased transmission, polymorphisms at the locus A are possible if the selection due to niche construction does not completely overcome the external selection at the A locus, i.e., R is either too large or too small.
For biased transmission, polymorphisms at the E trait no longer exist and either trait E or e gets fixed. Frequency of alleles at the A locus depends on the interplay of external selection and selection due to niche construction.
For incomplete transmission, if there is no statistical association between the cultural trait and the genetic locus then a single-polymorphic equilibrium is obtained. Selection due to niche construction shifts this equilibrium from the point where it would have been had niche construction not been acting.
Rights and permissions
About this article
Cite this article
Gupta, M., Prasad, N.G., Dey, S. et al. Niche construction in evolutionary theory: the construction of an academic niche?. J Genet 96, 491–504 (2017). https://doi.org/10.1007/s12041-017-0787-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12041-017-0787-6