Family dynasties in the Tasmanian native hen (Gallinula mortierii)

For species that form multi-generational and territorial family groups, resource-rich areas are predicted to support family dynasties in which one genetic lineage continuously occupies an area and may even expand to occupy surrounding areas. Data from a long-term study of Tasmanian native hens (Gallinula mortierii) support this prediction. The reproductive success and dispersal patterns of 18 hen lineages were monitored for seven breeding seasons and over several generations. The founder group with the highest average territory quality produced the highest total number of fledged young and the highest number of fledged linear descendants, accounting for 24% of the combined reproductive output of these 18 lineages. In the space of 6 years, this single genetic lineage expanded from one territory to occupy 12 of the 47 territories present in the population. This rate of expansion was over four times the population average for the same period. A multivariate analysis revealed that the success of a genetic lineage depended only on the number of high-quality territories surrounding the founder group. These results further demonstrate the resource-dependent nature of reproductive success in this species, and also highlight the potential importance of family dynasties in other cooperative species with complex social dynamics and dispersal patterns.

Understanding competence at work

Competence is more than a list of skills; it encompasses how employees define their work. How people understand their jobs affects how they carry them out.

A decade of Taiwanese migration in Australia: Comparisons with Mainland Chinese and Hong Kong settlers

The arrival of Taiwanese migrants to Australia represents the second major wave of Chinese immigration to this nation. Many who entered Australia did so as business migrants. They were typically well educated, affluent professionals, managers, &/or entrepreneurs who were looking for new business opportunities as well as a lifestyle characterized by open space, clean air, a good education for their children, & personal & political safety. Yet, the settlement experiences of many Taiwanese migrants, despite their affluence & (business) skills, have been typified by stress & hardship, particularly in making adjustments in social, business, & economic relationships. A review of statistical data compiled from census & government reports in Australia has revealed that after a decade Down Under, the Taiwanese settler group was still characterized by high unemployment, even when compared to other Chinese migrant groups from Hong Kong & Mainland China. It is suggested that the Taiwanese migrants' persistent high nonparticipation in Australia's labor force is indicative & poignant of their highly distinctive, albeit not exclusive in the broader Chinese migrant terms, experience of migration settlement. There seems to be an increasing number of Taiwanese settlers returning to resettle in Taiwan in recent years, because of perceived better employment & business opportunities or for family & personal reasons. Recent interviews with Taiwanese settlers have also suggested that the most recent arrivals, being more aware of the obstacles in achieving work or business satisfaction during settlement, seem less likely to commit themselves to lifelong settlement in Australia. 16 Tables, 1 Figure, 37 References. Adapted from the source document.

The gene encoding the immunoregulatory signaling molecule CMRF-35A localized to human chromosome 17 in close proximity to other members of the CMRF-35 family

The immunoregulatory signaling (IRS) family includes several molecules, which play major roles in the regulation of the immune response. The CMRF-35A and CMRF-35H molecules are two new members of the IRS family of molecules, that are found on a wide variety of haemopoietic lineages. The extracellular functional interactions of these molecules is presently unknown, although CMRF-35H on initiate an inhibitory signal and is internalized when cross-linked. In this paper, we described the gene structure for the CMRF-35A gene and its localization to human chromosome 17. The gene consists of four exons spanning approximately 4.5 kb. Exon 1 encodes the 5' untranslated region and leader sequence, exon 2 encodes the immunoglobulin (Ig)-like domain, exon 3 encodes the membrane proximal region and exon 4 encodes the transmembrane region, the cytoplasmic tail and the 3' untranslated region. A region in the 5' flanking sequence of the CMRF-35A gene, that promoted expression of a reporter gene was identified. The genes for the CMRF-35A and CMRF-35H molecules are closely linked on chromosome 17. Similarity between the Ig-like exons and the preceding intron of the two genes suggests exon duplication was involved in their evolution. We also identified a further member of the CMRF-35 family, the CMRF-35J pseudogene. This gene appears to have arisen by gene duplication of the CMRF-35A gene. These three loci-the CMRF-35A, CMRF-35J and CMRF-35H genes-form a new complex of IRS genes on chromosome 17.

The murine chaperonin 10 gene family contains an intronless, putative gene for early pregnancy factor, Cpn10-rs1

Early pregnancy factor (EPF) is a secreted protein with growth regulatory and immunomodulatory properties. Human platelet-derived EPF shares amino acid sequence identity with chaperonin 10 (Cpn10), a mitochondrial matrix protein which functions as a molecular chaperone. The striking differences in cellular localization and function of the two proteins suggest differential regulation of production reflecting either alternative transcription of the same gene or transcription from different genes. In mammals and more distantly related genera, there is a large gene family with homology to CPN 10 cDNA, which includes intronless copies of the coding sequence. To determine whether this could represent the gene for EPF, we have screened a mouse genomic library and sequenced representative Cpn10 family members, looking for a functional gene distinct from that of Cpn 10, which could encode EPF. Eight distinct genes were identified. Cpn10 contains introns, while other members are intronless. Six of these appear to be pseudogenes, and the remaining member, Cpn10-rs1, would encode a full-length protein. The 309-bp open reading frame (ORF) is identical to that of mouse Cpn10 cDNA with the exception of three single-base changes, two resulting in amino acid changes. Only one further single nucleotide difference between the Cpn10-rs1 and Cpn10 cDNAs is observed, located in the 3' UTR. Single nucleotide primer extension was applied to discriminate between Cpn10-rs1 and Cpn10 expression. Cpn10, which is ubiquitous, was detected in all tissue samples tested, whereas Cpn10-rs1 was expressed selectively. The pattern was completely coincident with known patterns of EPF activity, strongly suggesting that Cpn10-rs1 does encode EPF. The complete ORF of Cpn10-rs1 was expressed in E. coli. The purified recombinant protein was found to be equipotent with native human platelet-derived EPF in the bioassay for EPF, the rosette inhibition test.

Estimating Two-Stage Models for Genetic Influences on Alcohol, Tobacco or Drug Use Initiation and Dependence Vulnerability in Twin and Family Data

Genetic research on risk of alcohol, tobacco or drug dependence must make allowance for the partial overlap of risk-factors for initiation of use, and risk-factors for dependence or other outcomes in users. Except in the extreme cases where genetic and environmental risk-factors for initiation and dependence overlap completely or are uncorrelated, there is no consensus about how best to estimate the magnitude of genetic or environmental correlations between Initiation and Dependence in twin and family data. We explore by computer simulation the biases to estimates of genetic and environmental parameters caused by model misspecification when Initiation can only be defined as a binary variable. For plausible simulated parameter values, the two-stage genetic models that we consider yield estimates of genetic and environmental variances for Dependence that, although biased, are not very discrepant from the true values. However, estimates of genetic (or environmental) correlations between Initiation and Dependence may be seriously biased, and may differ markedly under different two-stage models. Such estimates may have little credibility unless external data favor selection of one particular model. These problems can be avoided if Initiation can be assessed as a multiple-category variable (e.g. never versus early-onset versus later onset user), with at least two categories measurable in users at risk for dependence. Under these conditions, under certain distributional assumptions., recovery of simulated genetic and environmental correlations becomes possible, Illustrative application of the model to Australian twin data on smoking confirmed substantial heritability of smoking persistence (42%) with minimal overlap with genetic influences on initiation.