A total of 8,497 blood samples were typed for HLA-A, B, DR and DQ. Of these, 7,137 Min-nan, 714 Hakka, 535 Mainland Chinese (152 from North China, 211 from Middle China, and 172 from South China) and 111 Aborigines were randomly selected from Tzu Chi Taiwan Marrow Donor Registry (TCTMDR). Differences in HLA gene and antigen frequencies have been observed between various ethnic groups of the Chinese population in Taiwan. The phylogenic tree shows Taiwan Aborigines and Javanese cluster together; Min-nan shares a common cluster with Hakka, Southern Hans and Thai; and Northern Hans shares a cluster with Middle Hans. The separation between Northern/Middle and Southern Chinese Hans support the idea that Northern and Southern Chinese have different genetic background. Aborigines appeared to be quite distinct in the distribution of a majority of the class I and class II antigens. High frequency of HLA-A24 (60.4%) and relatively restricted HLA polymorphisms are noted in Aborigines. The HLA haplotypes with high frequency in Aborigines included A24-B60-DRB1*04, A24-B60-DRB1*14, A24-B48-DRB1*04, and A24-B48-DRB1*14, which are different from the other ethnic groups. Although the phylogenic tree separates Aborigines and Han Chinese populations, 4 out of 20 most common HLA-A, -B, and -DR haplotypes presented in both Aborigines and Han Chinese may reflect an ancient common origin or intermixture between early settlers of Han Chinese and Taiwan Aborigines. The results in this study are essentially a summary of the observed gene/haplotype frequencies and differences among various ethnic groups in Taiwan.

Humans have contributed to the increased frequency and severity of emerging infectious diseases, which pose a significant threat to wild and domestic species, as well as human health. This review examines major pathways by which humans influence parasitism by altering (co)evolutionary interactions between hosts and parasites on ecological timescales. There is still much to learn about these interactions, but a few well-studied cases show that humans influence disease emergence every step of the way. Human actions significantly increase dispersal of host, parasite and vector species, enabling greater frequency of infection in naive host populations and host switches. Very dense host populations resulting from urbanization and agriculture can drive the evolution of more virulent parasites and, in some cases, more resistant host populations. Human activities that reduce host genetic diversity or impose abiotic stress can impair the ability of hosts to adapt to disease threats. Further, evolutionary responses of hosts and parasites can thwart disease management and biocontrol efforts. Finally, in rare cases, humans influence evolution by eradicating an infectious disease. If we hope to fully understand the factors driving disease emergence and potentially control these epidemics we must consider the widespread influence of humans on host and parasite evolutionary trajectories. This article is part of the themed issue ‘Human influences on evolution, and the ecological and societal consequences’.

Generalist parasites can strongly influence interactions between native and invasive species. Host competence can be used to predict how an invasive species will affect community disease dynamics; the addition of a highly competent, invasive host is predicted to increase disease. However, densities of invasive and native species can also influence the impacts of invasive species on community disease dynamics. We examined whether information on host competence alone could be used to accurately predict the effects of an invasive host on disease in native hosts. We first characterized the relative competence of an invasive species and a native host species to a native parasite. Next, we manipulated species composition in mesocosms and found that host competence results did not accurately predict community dynamics. While the invasive host was more competent than the native, the presence of the native (lower competence) host increased disease in the invasive (higher competence) host. To identify potential mechanisms driving these patterns, we analyzed a two-host, one-parasite model parameterized for our system. Our results demonstrate that patterns of disease were primarily driven by relative population densities, mediated by asymmetry in intra- and interspecific competition. Thus, information on host competence alone may not accurately predict how an invasive species will influence disease in native species.

No abstract