It has been proposed that the insertion time of a long terminal repeat (LTR) retrotransposon can be estimated by the divergence between the two LTRs at the both ends because their sequences were identical at the insertion event. This method is based on the assumption that the two LTRs accumulate point mutations independently; therefore, the divergence reflects the time since the insertion event. However, if gene conversion occurs between LTRs, the nucleotide divergence will be much smaller than expected with the assumption of the independent accumulation of point mutations. To examine this assumption, we investigated the extent of gene conversion between LTRs by applying a comparative genomic approach to primates (humans and rhesus macaques) and rodents (mice and rats). We found that gene conversion plays a significant role in the molecular evolution of LTRs in primates and rodents, but the extent is quite different. In rodents, most LTRs are subject to extensive gene conversion that reduces the divergence, so that the divergence-based method results in a serious underestimation of the insertion time. In primates, this effect is limited to a small proportion of LTRs. The most likely explanation of the difference involves the minimum length of the interacting sequence (minimal efficient processing segment [MEPS]) for interlocus gene conversion. An empirical estimate of MEPS in human is 300–500 bp, which exceeds the length of most of the analyzed LTRs. In contrast, MEPS for mice should be much smaller. Thus, MEPS can be an important factor to determine the susceptibility of LTRs to gene conversion, although there are many other factors involved. It is concluded that the divergence method to estimate the insertion time should be applied with special caution because at least some LTRs undergo gene conversion.

Interlocus gene conversion can homogenize DNA sequences of duplicated regions with high homology. Such nonvertical events sometimes cause a misleading evolutionary interpretation of data when the effect of gene conversion is ignored. To avoid this problem, it is crucial to test the data for the presence of gene conversion. Here, we performed extensive simulations to compare four major methods to detect gene conversion. One might expect that the power increases with increase of the gene conversion rate. However, we found this is true for only two methods. For the other two, limited power is expected when gene conversion is too frequent. We suggest using multiple methods to minimize the chance of missing the footprint of gene conversion.

When a local colonization in a new niche occurs, the new derived population should be subject to different selective pressures from that in the original parental population; consequently it is likely that many loci will be subject to directional selection. In such a quick adaptation event through environmental changes, it is reasonable to consider that selection utilizes genetic variations accumulated in the precolonization phase. This mode of selection from standing variation would play an important role in the evolution of new species. Here, we developed a coalescent-based simulation algorithm to generate patterns of DNA polymorphism in both parental and derived populations. Our simulations demonstrate that selection causes a drastic change in the pattern of polymorphism in the derived population, but not in the parental population. Therefore, for detecting the signature of local adaptation in polymorphism data, it is important to evaluate the data from both parental and derived populations simultaneously.

The effect of directional selection on the fixation process of a single mutation that spreads in a multigene family by gene conversion is investigated. A simple two-locus model with two alleles, A and a, is first considered in a random-mating diploid population with size N. There are four haplotypes, AA, Aa, aA, and aa, and selection works on the number of alleles A in a diplod (i = 0, 1, 2, 3, 4). Because gene conversion is allowed between the two loci, when the mutation rate is very low, either AA or aa will fix in the population eventually. We consider a situation where a single mutant, A, arises in one locus when a is fixed in both loci. Then, we derive the fixation probability analytically, and the fixation time is investigated by simulations. It is found that gene conversion has an effect to increase the “effective” population size, so that weak selection works more efficiently in a multigene family. With these results, we discuss the effect of gene conversion on the rate of molecular evolution in a multigene family undergoing concerted evolution. We also argue about the applicability of the theoretical results to models of multigene families with more than two loci.