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. 2018 Feb 9;208(4):1409–1420. doi: 10.1534/genetics.117.300588

Table 1. Best-fit parameters for chromosomes 3 and 5.

Chr N B Ea Bs Be Bd Smax Bsmax A L cL cR M T2prob
5 56 1 0.6 0.4 0.5 0.01 4.5 (15) 1 1 1 (0.54) 0.8 1.05 1 0.0095 (0.0155)
3 49 1 0.6 0.5 0.65 0.01 1 (2.03) 1 1 0.9 (0.641) 1.5 1.5 1 0.01 (0.0162)

Values in brackets are those used to achieve a 13% increase in crossovers. Chr, chromosome; N = number of precursor sites. Model parameters are defined as follows (see White et al. 2017; Zhang et al. 2014): B= Precursor distribution among bivalents (0 = Poisson, 1 = constant), E= Precursor distribution along bivalents (0 = random, 1 = even), Bs = Black hole (centromere) start position, Be= Black hole (centromere) end position, Bd= Precursor density within black hole relative to rest of bivalent, Smax= Designation driving force (Progressively increased to Smax during simulation), Bsmax= Distribution of Smax among bivalents. (0 = Poisson, 1 = constant), A= Determines distribution of precursor sensitivities. Default A = 1. L= Proportion of bivalent over which the interference signal propagates. cL / cR: End effects on interference (Left/Right) where 0 = unclamped – behaves as if there was a CO at the end of the chromosome and 1 = clamped - behaves as if there was not a CO at the end of the chromosome, M= Efficiency with which CO-designation matures to eventual CO, T2prob= Probability of a precursor site becoming a class II CO.

a

Whole chromosomes were simulated, with best-fit parameters based on Fluorescent Tagged Line-derived crossover and coefficient of coincidence values.