Weak selection is maintaining the Drosophila americana X/4 fusion chromosomal frequency cline. The gene(s) harbouring the advantageous variant(s) that is responsible for the establishment and maintenance of this chromosomal frequency gradient must be located in a region of the X and/or 4th chromosome that is genetically isolated between the X/4 fusion and non-fusion forms. The limits of these regions must thus be determined before an attempt is made to identify these genes. For this purpose, the correspondence between the D. virilis X and 4th chromosome genome scaffolds sequence and the D. americana gene order was established. Polymorphism levels and patterns at seven genes located at the base of the D. americana X chromosome, as well as three genes located at the base of the 4th chromosome, were analysed. The data suggest that the D. americana X/4 fusion is no more than 29000 years old. At the base of the X chromosome, there is suppression of recombination within X/4 fusion and non-fusion chromosomes, and little recombination between the two chromosomal forms. Apparent fixed silent and replacement differences are found in three of seven genes analysed located at the base of the X chromosome. There is no evidence for suppression of recombination between fusion and non-fusion chromosomes at the base of the 4th chromosome. The advantageous variant responsible for the establishment in frequency and maintenance of the X/4 fusion is thus inferred to be in the D. americana X centromere–inversion Xc basal breakpoint region.

The typical life cycle of an aphid is cyclical parthenogenesis which involves the alternation of sexual and asexual reproduction. However, aphid life cycles, even within a species, can encompass everything on a continuum from obligate sexuality, through facultative sexuality to obligate asexuality. Loss of the sexual cycle in aphids is frequently associated with the introduction of a new pest and can occur for a number of environmental and genetic reasons. Here we investigate loss of sexual function in Sitobion aphids in Australia. Specifically, we aimed to determine whether an absence of sexual reproduction in Australian Sitobion results from genetic loss of sexual function or environmental constraints in the introduced range. We addressed our aims by performing a series of breeding experiments. We found that some lineages have genetically lost sexual function while others retain sexual function and appear environmentally constrained to asexuality. Further, in our crosses, using autosomal and X-linked microsatellite markers, we identified processes deviating from normal Mendelian segregation. We observed strong deviations in X chromosome transmission through the sexual cycle. Additionally, when progeny genotypes were examined across multiple loci simultaneously we found that some multilocus genotypes are significantly over-represented in the sample and that levels of heterozygosity were much higher than expected at almost all loci. This study demonstrates that strong biases in the transmission of X chromosomes through the sexual cycle are likely to be widespread in aphids. The mechanisms underlying these patterns are not clear. We discuss several possible alternatives, including mutation accumulation during periods of functional asexuality and genetic imprinting.

The Tol2 element of the medaka fish Oryzias latipes is a member of the hAT (hobo/Activator/Tam3) transposable element family. There is evidence for rapid expansion in the genome and throughout the species in the past but a high spontaneous transposition rate is not observed with current fish materials, suggesting that the Tol2 element and its host species have already acquired an interactive mechanism to control the transposition frequency. DNA methylation is a possible contributing factor, given its involvement with many other transposable elements. We therefore soaked embryos in 5-azacytidine, a reagent that causes reduction in the DNA methylation level, and examined amounts of PCR products reflecting the somatic excision frequency, obtaining direct evidence that exposure promotes Tol2 excision. Our results thus suggest that methylation of the genome DNA is a factor included in the putative mechanisms of control of transposition of the Tol2 element.

We propose a simple approach, the multiplicative background correction, to solve a perplexing problem in spotted microarray data analysis: correcting the foreground intensities for the background noise, especially for spots with genes that are weakly expressed or not at all. The conventional approach, the additive background correction, directly subtracts the background intensities from foreground intensities. When the foreground intensities marginally dominate the background intensities, the additive background correction provides unreliable estimates of the differential gene expression levels and usually presents M–A plots with ‘fishtails’ or fans. Unreliable additive background correction makes it preferable to ignore the background noise, which may increase the number of false positives. Based on the more realistic multiplicative assumption instead of the conventional additive assumption, we propose to logarithmically transform the intensity readings before the background correction, with the logarithmic transformation symmetrizing the skewed intensity readings. This approach not only precludes the ‘fishtails’ and fans in the M–A plots, but provides highly reproducible background-corrected intensities for both strongly and weakly expressed genes. The superiority of the multiplicative background correction to the additive one as well as the no background correction is justified by publicly available self-hybridization datasets.

Many biological processes, from cellular metabolism to population dynamics, are characterized by particular allometric scaling relationships between rate and size (power laws). A statistical model for mapping specific quantitative trait loci (QTLs) that are responsible for allometric scaling laws has been developed. We present an improved model for allometric mapping of QTLs based on a more general allometry equation. This improved model includes two steps: (1) use model II regression analysis to estimate the parameters underlying universal allometric scaling laws, and (2) substitute the estimated allometric parameters in the mixture-based mapping model to obtain the estimation of QTL position and effects. This model has been validated by a real example for a mouse F2 progeny, in which two QTLs were detected on different chromosomes that determine the allometric relationship between growth rate and body weight.

Loywyck, V., Pinard-van der Laan, M.-H., Goldringer, I. & Verrier, E. (2006). On the need for combining complementary analyses to assess the effect of a candidate gen and the evolution of its polymorphism: the example of the Major Histocompatibility Complex in chicken. Genetical Research87, 125–131.

The published version of Table 2 omitted the column headings, the correct version is given below.