ライフサイエンスコーパス: random mating

1 eters without iteration and without assuming random mating.

2 are used in such cases, all of which assume random mating.

3 second was derived from five generations of random mating.

4 number of offspring weaned, of 0.32 against random mating.

5 on rate as opposed to a decrease found under random mating.

6 then adapted to account for the genetics and random mating.

7 ctive size (N(e)) of a diploid species under random mating.

8 on theory derived for populations undergoing random mating.

9 thout assuming Hardy-Weinberg equilibrium or random mating.

10 somewhat lower with assortative rather than random mating.

11 Our final example involves random mating among eight strains and vividly demonstrat

12 Given model parameters of random mating and founding queens mating with three male

13 y high, possibly because of a combination of random mating and high variance in post-copulatory repro

14 parum in an Anopheles mosquito with unbiased random mating and incomplete fertilization is used to in

15 and migration), as well as special cases of random mating and migration subsumed under the general m

16 generation 70, followed by 10 generations of random mating and the derivation of 500 lines by selfing

17 Random-mating and assortative-mating samples were genera

18 stion the validity of simple models based on random mating, and emphasize the need for more empirical

19 on showed that relatively few generations of random mating are required for md to approach 1 (indicat

20 When the two strains were crossed in random mating between the two populations, significant d

21 Barriers to random mating can be ecologically extreme, such as the S

22 Multiple mechanisms of non-random mating can interact so that trait co-evolution en

23 Random-mating designs with variance in offspring number

24 ssed equilibrium, nearly equal to that under random mating, for all selfing rates, r, up to critical

25 Inferences regarding random mating, gene flow, effective population sizes, di

26 d: Is population structure consistent with a random mating hypothesis?

27 With random mating, if selected family sizes are assumed to b

28 irect and direct measures of departures from random mating in a population of the plant pathogenic fu

29 anizations and reproductive modes, from near-random mating in protandry, to aggregate- and harem-spaw

30 population, and have found that if there is random mating in the admixed population, then typically

31 The degree to which the non-random mating influences genetic architecture remains un

32 g mechanisms" is flawed, because intra-group random mating is assumed.

33 Understanding patterns of non-random mating is central to predicting the consequences

34 One assumption behind random mating is that individuals mate an infinite numbe

35 Random mating is the null model central to population ge

36 it co-evolution enables the evolution of non-random mating mechanisms that would not evolve alone.

37 However, the random mating model ignores essential aspects of populat

38 ons also indicate that direct application of random mating models to partially selfing populations ca

39 escent arises as a limit of a large class of random mating models, and it is an accurate approximatio

40 s that can be used to simulate arbitrary non-random mating models.

41 We consider two standard models of random mating, namely the Wright-Fisher (WF) and Moran m

42 port that after nine generations of enforced random mating (nine episodes of recombination), correlat

43 locus with two alleles, under assumptions of random mating, no drift and no mutation.

44 in birds is often lower than expected under random mating or monogamy.

45 ith seed or pollen migration alone, complete random mating or selfing, or migrant pollen and seeds la

46 ain a genetic structure more consistent with random-mating over the course of an epidemic cycle.

47 rmuda) showed marked deviation from expected random mating patterns (within and among loci), frequent

48 f a simulated coalescent describing a single random mating population with mutation, random genetic d

49 ver, make the critical assumption of a large random mating population without genetic structures.

50 ntially slowed relative to predictions for a random mating population.

51 tatistical properties of a DNA sample from a random-mating population of constant size are studied un

52 ht-Fisher (WF) model, which assumes a single random-mating population with a finite and constant popu

53 on increases to a high frequency in a single random-mating population, which is certainly violated in

54 gametic linkage disequilibrium defined for a random-mating population, zygotic disequilibrium describ

55 ptions of a single-locus disease trait and a random-mating population.

56 In random mating populations, the fate of mitochondrial mut

57 ons play an important role in studies of non-random mating populations.

58 robabilities of identity-by-descent (IBD) in random-mating populations for a few loci (up to four or

59 Non-random mating provides multiple evolutionary benefits an

60 approximately equals the mean fitness under random mating relative to that under complete selfing.

61 ean populations with a fixed sex ratio and a random mating scheme to assess the probability of detect

62 difficulties, only very limited types of non-random mating schemes are provided in the currently avai

63 We consider multiple mechanisms of non-random mating simultaneously within a unified modelling

64 extensive linkage disequilibrium relative to random-mating species.

65 tions were very close to those expected from random mating, suggesting strong negative-assortative ma

66 pulations with selfing, full-sib mating, and random mating, using empirical estimates of mutation par

67 Assuming random mating, we study analytically the effects of popu

68 After 100 generations of random mating with N(e) of 50, 100, or 200, SNP genotype

69 There was a distinct departure from random mating, with over half the successful pollen orig