The genetic architecture of phenotypic diversity in the Betta fish (Betta splendens).

The Betta fish displays a remarkable variety of phenotypes selected during domestication. However, the genetic basis underlying these traits remains largely unexplored. Here, we report a high-quality genome assembly and resequencing of 727 individuals representing diverse morphotypes of the Betta fish. We show that current breeds have a complex domestication history with extensive introgression with wild species. Using a genome-wide association study, we identify the genetic basis of multiple traits, including coloration patterns, the "Dumbo" phenotype with pectoral fin outgrowth, extraordinary enlargement of body size that we map to a major locus on chromosome 8, the sex determination locus that we map to dmrt1, and the long-fin phenotype that maps to the locus containing kcnj15. We also identify a polygenic signal related to aggression, involving multiple neural system-related genes such as esyt2, apbb2, and pank2. Our study provides a resource for developing the Betta fish as a genetic model for morphological and behavioral research in vertebrates.

Level, Source, and Spatial Distribution of Potentially Toxic Elements in Agricultural Soil of Typical Mining Areas in Xiangjiang River Basin, Hunan Province.

The concentrations, chemical availability, distribution, and sources of potentially toxic elements (PTEs) in the soil of Xiangjiang Basin in Hunan Province, China were investigated at 85 sites. The highest mean concentrations of Cd, Cu, Zn, As, and Pb were observed in Hengyang, whereas those for Mn, Co, and Hg were observed in Changde. The pollution index values followed the order: Cd > Hg > Cu > Zn > As > Pb; the mean geo-accumulation index values were in the order: Cd > Hg > Pb > Cu > Zn > As > Co > Mn. Cd was associated with moderate contaminated level, Hg and Pb were associated with moderate contaminated to uncontaminated level, and Cu, Zn, As, Co, and Mn were associated with uncontaminated level of pollution. Furthermore, 64.5% of Cd was water-soluble and exhibited exchangeable fractions; its chemical availability posed a risk to the ecosystem. Spatial analysis, principal component analysis, and a positive matrix factorization model were used to assess the PTE sources. Four principal components contributed to 88.8% of the 8 PTEs concentrations. Mining, smelting, industrial, and agricultural activities, alongside sewage irrigation, the use of agrochemicals, and vehicular emissions are the possible anthropogenic sources that pollute agricultural products and threaten human health in the Xiangjiang Basin.

The lag effects and seasonal differences of air pollutants on allergic rhinitis in Beijing.

To investigate the lag effects and seasonal differences of urban air quality change on human health, we carried out a time-series analysis of daily general practitioner consultations for allergic rhinitis (AR) in Beijing, China. In earlier publications we had assessed the relative risks of air pollutants on AR in Beijing during the period 2009-2010. This article analyzes for the same time period the lag effects of air pollutants and the seasonal effects on daily number of outpatient with allergic rhinitis; differences among age groups and gender groups were also taken into consideration. The results show that, the largest effect RRs of PM(10) were at lag01, lag0, lag01, lag01, and lag01 for the total population, male, female, young/middle aged people (20-60 years age group), and old people (more than 60 years age group), respectively. The largest associations of SO(2) were observed at lag3, lag1, lag3, lag0 and lag0 for the total population, male, female, young people/middle aged people (20-60 years age group), and old people (more than 60 years age group), respectively. The strongest effects of NO(2) were found at lag03 for the total population, female and the young/middle aged people; at lag0 for male and lag03 for elder people. RRs of the three pollutants for AR have shown a decreasing relevance from NO(2) to PM(10) to SO(2). The seasonal effect models show that PM(10), SO(2), and NO(2) had higher risk for AR in the warm season than in the cold season.