The Impact of Skill Level on the Integration of Information and Post-Error Adjustment during Action Anticipation in Basketball.

The present study examined the impact of skill level on the integration of contextual prior information and kinematic information alongside post-error adjustment during action anticipation in basketball. Twenty-three collegiate basketball players and twenty-three control participants engaged in anticipating as quickly and accurately as possible the outcomes of free throws, utilizing video clips depicting basketball players' actions, both with and without contextual prior information. Anticipatory performance and the difference in anticipatory performance following errors and correct responses were analyzed based on skill level and the congruency of contextual prior information (none, congruent, and incongruent). The findings revealed that the congruency of contextual prior information significantly affects action anticipation, with skill level moderating this effect. Moreover, skill level influenced the congruency effect on accuracy discrepancies between post-error and post-correct trials during action anticipation, with controls showing greater sensitivity to previous trial performance compared to experts. These results provide further evidence for the notion that individuals employ Bayesian reliability-based strategies to integrate different information sources and underscore the role of skill level in adjusting anticipatory judgments following errors during action anticipation. These insights contribute to a deeper understanding of the cognitive and behavioral mechanisms that differentiate skill levels in action anticipation, potentially guiding the development of targeted training interventions.

Genomic characterization of dryland adaptation in endangered Anxi cattle in China.

Local species exhibit distinctive indigenous characteristics while showing unique productive and phenotypic traits. However, the advent of commercialization has posed a substantial threat to the survival of indigenous species. Anxi cattle, an endangered native breed in China, have evolved unique growth and reproductive characteristics in extreme desert and semidesert ecosystems. In this study, we conducted a genomic comparison of 10 Anxi cattle genomes with those of five other global populations/breeds to assess genetic diversity and identify candidate genomic regions in Anxi cattle. Population structure and genetic diversity analyses revealed that Anxi cattle are part of the East Asian cattle clade, exhibiting higher genetic diversity than commercial breeds. Through selective sweep analysis, we identified specific genetic variations linked to the environmental adaptability of Anxi cattle. Notably, we identified several candidate genes, including CERS3 involved in regulating skin permeability and antimicrobial functions, RBFOX2 associated with cardiac development, SLC16A7 participated in the regulation of pancreatic endocrine function, and SPATA3 related to reproduction. Our findings revealed the distinctive genomic features of Anxi cattle in dryland environments, provided invaluable insights for further research and breed preservation, and had important significance for enriching the domestic cattle breeding gene bank.

Temperature adaptation patterns in Chinese cattle revealed by TRPM2 gene mutation analysis.

Cattle are sensitive to temperature fluctuations but adapt well to inclement weather conditions. When environmental temperatures exceed specific thresholds, heat stress becomes a critical concern for cattle. The TRPM2 gene, which resides on cattle chromosome 1 encodes a TRP channel protein, holding a unique capacity to sense temperature changes and facilitate rapid response to avoid heat stress. Here, we utilized the Bovine Genome Variation Database (BGVD) (http://animal.omics.pro/code/index.php/BosVar), and identified a missense mutation site, c.805A > G: p. Met269Val (rs527146862), within the TRPM2 gene. To elucidate the functional assessment of this mutation in temperature adaptation attributes of Chinese cattle, we genotyped 407 samples from 20 distinct breeds representing diverse climatic zones across China. The association analysis incorporates three temperature parameters and revealed compelling insights in terms of allele frequency. Interestingly, the prevalence of the wild-type allele A was notably higher among northern cattle breeds and this trend diminished gradually as observed in southern cattle populations. Conversely, the mutant-type allele G demonstrated a contrasting trend. Moreover, southern cattle exhibited markedly higher frequencies of GG and GA genotypes (P < 0.01). The presence of heterozygous and homozygous mutations appears to confer an enhanced capacity for adaptation to elevated temperatures. These results provide unequivocal correlation evidence between TRPM2 genotypes (AA, GA, GG) and environmental temperature parameters and comprehend the genetic mechanisms governing temperature adaptation in cattle. This provides valuable insights for strategic breed selection across diverse climatic regions, thereby aiding livestock production amid evolving climate challenges.

The TRPM2 gene encodes TRP channel protein that helps animals in combating heat stress. Twenty Chinese local cattle breeds were genotyped, and association analysis was performed. This investigation encompasses the distribution pattern of the missense mutation locus rs527146862 of the TRPM2 gene in southern, northern, and central cattle populations. The results demonstrated a significant relationship between rs527146862 locus and temperature adaptation attributes in Chinese cattle.

Analysis of genetic diversity and selection characteristics using the whole genome sequencing data of five buffaloes, including Xilin buffalo, in Guangxi, China.

Buffalo is an economically important livestock that renders useful services to manhood in terms of meat, milk, leather, and draught. The Xilin buffalo is among the native buffalo breeds of China. In the present study, the genetic architecture and selection signature signals of Xilin buffalo have been explored. Correlation analysis of the population structure of Xilin buffalo was conducted by constructing NJ tree, PCA, ADMIXTURE and other methods. A total of twenty-five (n = 25) Xilin buffalo whole genome data and data of forty-six (n = 46) buffaloes published data were used. The population structure analysis showed that the Xilin buffalo belong to the Middle-Lower Yangtze. The genome diversity of Xilin buffalo was relatively high. The CLR, π ratio, F ST, and XP-EHH were used to detect the candidate genes characteristics of positive selection in Xilin buffalo. Among the identified genes, most of the enriched signal pathways were related to the nervous system and metabolism. The mainly reported genes were related to the nervous system (GRM5, GRIK2, GRIA4), reproductive genes (CSNK1G2, KCNIP4), and lactation (TP63). The results of this study are of great significance for understanding the molecular basis of phenotypic variation of related traits of Xilin buffalo. We provide a comprehensive overview of sequence variations in Xilin buffalo genomes. Selection signatures were detected in genomic regions that are possibly related to economically important traits in Xilin buffalo and help in future breeding and conservation programs of this important livestock genetic resource.