Natural Selection and the Heritability of Fitness Components

Natural Selection and the Heritability of Fitness Components

Heredity 59 (1987) 181—197 The Genetical Society of Great Britain Received 26 October 1986 Natural selection and the heritability of fitness components Timothy A. Mousseau and Department of Biology, McGill University, Derek A. Roff 1205 Avenue Dr.Penfield, Montreal, Quebec, CanadaH3A 1B1. The hypothesis that traits closely associated with fitness will generally possess lower heritabilities than traits more loosely connected with fitness is tested using 1120 narrow sense heritability estimates for wild, outbred animal populations, collected from the published record. Our results indicate that life history traits generally possess lower heritabilities than morphological traits, and that the means, medians, and cumulative frequency distributions of behavioural and physiological traits are intermediate between life history and morphological traits. These findings are consistent with popular interpretations of Fisher's (1930, 1958) Fundamental Theorem of Natural Selection, and Falconer (1960, 1981), but also indicate that high heritabilities are maintained within natural populations even for traits believed to he under strong selection. It is also found that the heritability of morphological traits is significantly lower for ectotherms than it is for endotherms which may in part be a result of the strong correlation between life history and body size for many ectotherms. INTRODUCTION sive compilation of data in support of this view is that presented in table 10.1 of Falconer (1981). Thefundamental theorem of natural selection However, these data are rather few and derived states: "The rate of increase in fitness of any organ- primarily from domestic animals, which may be ism at any time is equal to its genetic variance in partly inbred. Extension to wild, outbred organ- fitness at that time" (Fisher, 1930). Fisher's isms may be erroneous. theorem is axiomatic to much of current evolution- It is possible that some significant amount of ary research. It has been variously interpreted but additive genetic variance can be maintained within is generally construed to imply that traits that have natural populations, even for characters tightly been closely and consistently associated with connected to fitness; possible mechanisms include fitness will exhibit low additive genetic variances mutation (Lande, 1976; Turelli, 1984), hetero- as a result of natural selection (e.g.,Hegmannand zygote advantage (Falconer, 1981), frequency Dingle, 1982; Lynch and Sulzbach, 1984; Riddel dependence (Bulmer, 1980), fluctuating environ- etcii., 1981).However, the validity of the funda- ments (Ewing, 1979) and migration (Felsenstein, mental theorem is dependent upon many assump- 1976). In addition, zero additive genetic variance tions that may not usually be met by natural in fitness is consistent with positive heritability populations (e.g.,populationequilibrium, weak estimates of fitness components when there exists selection, constancy of genotypic fitnesses over negative genetic correlations between components time, and independence of genotypic frequencies) (Rose and Charlesworth, 1981). (Charlesworth, 1987). The maintenance of low It is in response to the importance the views additive genetic variance has also been inferred to of Fisher (1930, 1958) and Falconer (1960, 1981) imply low heritability (in the narrow sense); "On have reached in the ecological literature, and the the whole, characters with the lowest heritabilities concurrent lack of rigorously examined empirical are those most closely connected with fitness, while support for these views, that we have undertaken characters with the highest heritabilities are those the compilation, analysis, and interpretation of the that might be judged on biological grounds to be extensive quantity of data concerning genetic the least important as determinants of natural variation within natural populations now available selection." (Falconer, 1960, 1981.) The most exten- from the published record. 182 T. A. MOUSSEAU AND D. A. ROFF In this paper we address two questions: (a) For the purposes of analysis we define four What is the heritability of traits closely associated categories of traits: (a) behavioural traits, (b) life with fitness? Do traits that are directly connected history traits, (c) morphological traits, and (d) to fitness tend to have lower heritabilities than physiological traits. We have restricted the term traits more loosely associated with fitness as pro- "life history trait" to those characters that are posed by Falconer (1960, 1981) and suggested by directly and invariably connected to fitness. Some Fisher (1930, 1958)? If we find this to be not the examples of life history traits are fecundity, viabil- case a serious reevaluation of current evolutionary ity, survival, and development rate. Morphological thinking would be necessary. (b) Do patterns of traits include body size, wing size, and other metric genetic variability change from taxa to taxa? If so, characters. Behavioural and physiological traits this might suggest phylogenetically determined are much less widely reported than life history or constraints upon rates of evolution. morphological traits. Examples of behavioural traits are alarm reaction, activity level, and sensi- tivity to conditioning. Physiological traits include Thedata set oxygen consumption, resistance to heat stress, and body temperature. Thedata set comprises 1120 narrow sense heritabil- The composition of the data set, divided ity estimates collected from 140 sources, represent- according to trait type and taxonomic assignment ing 75species.Heritability estimates for the is presented in fig. 1. A total of 341 life history Drosophila genus were excluded from the present traits, 570 morphological traits, 104 physiological study as they are treated elsewhere (Rofi and traits, and 105 behavioural traits are represented Mousseau, 1987). The only prerequisite for within the data set. Alternatively, there are 414 inclusion in the data set was that the heritability heritability estimates for invertebrates, 460 esti- estimate be derived from a wild, outbred stock; so mates for ectothermic vertebrates(reptiles, as to avoid biases potentially introduced through amphibians, and fishes), and 246 estimates for our literature reviewing process, the data were in endothermic vertebrates (birds and mammals). no other way screened or selected. This compila- These taxonomic designations reflect divisions tion is the most extensive of its kind but is not between groupings of biological and ecological exhaustive. A list of the sources, divided according significance, and an attempt to maintain statisti- to species, is given in an appendix. cally sufficient sample sizes within each grouping. 300 C') w250 I- 200 I- C', w150 0LL 100 uJ 50 z 0 B L B L M P B L M p INVERTEBRATES ECTOTHERMIC ENDOTHERMIC VERTEBRATES VERTEBRATES Figure 1The number of reported heritability estimates grouped according to trait type and taxonomic assignment. HERITABILITY OF FITNESS COMPONENTS 183 The analysis The relationship between pairs of estimates can be described by the following linear regression I. Methods of heritability estimation equation: Areestimates of additive genetic variances seriously biased by the methods of calculation? It FS=072 (±0.15)P0+0•23 (±0.09), r=065, is widely accepted that published estimates of MSE=0.064, (=4.74, p<0.0001 quantitative genetic parameters are seldom free from biases introduced by inbreeding, assortative where FS and P0 are the estimates derived from the full-sib and parent-offspring methods, respec- mating, dominance, maternal effects, non-additive tively (fig. 2). Since we are concerned with the genetic variances, and non-random sampling of functional relationship between heritability esti- genotypes from natural populations etc. (Mitchell- Giventhe mates generated using the full-sib and parent- Olds and Rutledge, 1986). offspring methods, and the errors of estimation are heterogeneous nature of our data set, we com- roughly comparable for both methods, it is mence this investigation with a comparison of appropriate that we determine the slope of the heritability estimates generated using different methods of calculation. The outcome of this functional regression using Ricker's (1973) examination will dictate whether it is necessary to formula: include the method of estimation as a factor in the v=b/r analyses to follow. The most commonly employed methods of where v is the slope of the functional regression, heritability estimation within our data set are the b is the slope obtained using an ordinary linear and the full- regression, and r is the correlation coefficient of parent-offspring regression (n =341) the relationship. Ricker's (1973) formula is used sib correlation (n =463)designs. The realised (n = because simple least-squares linear regressions will 133)and half-sib (n =176)designs are much less frequently utilized and as a result, insufficiently tend to seriously underestimate the slope (when r represented for the analyses to follow. is <1) if the abscissal (X) observations are subject to natural variability of the same magnitude as the Theory (Falconer, 1981) predicts that within a Y observations. We find that once corrected, the given population, for a given trait, estimates gener- ated using the full-sib design will usually be higher slope describing the functional relationship or equal to those produced using the parent- between full-sib and parent-offspring estimates offspring method. This results primarily from the equals 110, which

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