Child Anxiety and Depression During the COVID-19 Pandemic and Unmet Mental Health Care Needs.

Child anxiety and depression increased in recent years, while access to health care improved in some ways and worsened in others. The purpose of this study was to understand the prevalence of child anxiety and depression during the COVID-19 pandemic, unmet mental health care need among children with these conditions, and whether disparities exist by race/ethnicity and sex. A cross-sectional secondary data analysis was conducted using the 2021 National Survey of Children's Health (ages 3-17 years, unweighted n = 42,175). Parent/caregiver-reported child anxiety and depression prevalence was greater among non-Hispanic White children than those of other racial/ethnic groups and females compared to males, after adjusting for covariates. Unmet mental health care need among children with anxiety and depression was greater among Hispanic children than those of other racial/ethnic groups, after adjusting for covariates. In conclusion, this study identified a disparity in unmet need between Hispanic children and those of other races and ethnicities. Implications for policy and practice are discussed.

A thirty-year contaminant trend analysis in great lakes Native American fish harvests 1991-2021.

The Chippewa Ottawa Resource Authority (CORA) in Sault Ste. Marie, Michigan has been monitoring contaminant concentrations of mercury (Hg) and polychorinated biphenyls (PCBs) in the fillet portions of lake trout (Salvelinus namaycush) and lake whitefish (Coregonus clupeaformus) from waters of lakes Superior, Huron, and Michigan since 1991. This contaminant monitoring program is essential to supporting the fisheries interests and consumption advice for five Ojibwa and Ottawa tribes (collectively called Anishinaabe) whose ancestors ceded lands through the 1836 Treaty of Washingtonbut retained the rights to hunt and fish on those lands and waters. This manuscript presents an updated contaminant trend analysis covering the past three decades in which we observed a significant decreasing trend of median PCBs in both whitefish and lake trout harvested by tribal fishermen across all lakes. Median Hg tissue burdens significantly increased in whitefish harvests across all lakes and lake trout harvested from lake Michigan relative to earlier decades. Linear regression of fish fillets, adjusted for length, also conform to these trends. In 2021, per- and polyfluoroalkyl substances (PFAS) were detected in all Lake Michigan samples of lake trout (median 6.81pbb total PFAS) and in white fish (median 7.18 ppb total PFAS). Both decreasing and increasing trends of these key contaminants can alter fish consumption advice and risk calculations relative to advice presented in earlier decades.

TeoNAM: A Nested Association Mapping Population for Domestication and Agronomic Trait Analysis in Maize.

Recombinant inbred lines (RILs) are an important resource for mapping genes controlling complex traits in many species. While RIL populations have been developed for maize, a maize RIL population with multiple teosinte inbred lines as parents has been lacking. Here, we report a teosinte nested association mapping (TeoNAM) population, derived from crossing five teosinte inbreds to the maize inbred line W22. The resulting 1257 BC1S4 RILs were genotyped with 51,544 SNPs, providing a high-density genetic map with a length of 1540 cM. On average, each RIL is 15% homozygous teosinte and 8% heterozygous. We performed joint linkage mapping (JLM) and a genome-wide association study (GWAS) for 22 domestication and agronomic traits. A total of 255 QTL from JLM were identified, with many of these mapping near known genes or novel candidate genes. TeoNAM is a useful resource for QTL mapping for the discovery of novel allelic variation from teosinte. TeoNAM provides the first report that PROSTRATE GROWTH1, a rice domestication gene, is also a QTL associated with tillering in teosinte and maize. We detected multiple QTL for flowering time and other traits for which the teosinte allele contributes to a more maize-like phenotype. Such QTL could be valuable in maize improvement.

The genetic architecture of teosinte catalyzed and constrained maize domestication.

The process of evolution under domestication has been studied using phylogenetics, population genetics-genomics, quantitative trait locus (QTL) mapping, gene expression assays, and archaeology. Here, we apply an evolutionary quantitative genetic approach to understand the constraints imposed by the genetic architecture of trait variation in teosinte, the wild ancestor of maize, and the consequences of domestication on genetic architecture. Using modern teosinte and maize landrace populations as proxies for the ancestor and domesticate, respectively, we estimated heritabilities, additive and dominance genetic variances, genetic-by-environment variances, genetic correlations, and genetic covariances for 18 domestication-related traits using realized genomic relationships estimated from genome-wide markers. We found a reduction in heritabilities across most traits, and the reduction is stronger in reproductive traits (size and numbers of grains and ears) than vegetative traits. We observed larger depletion in additive genetic variance than dominance genetic variance. Selection intensities during domestication were weak for all traits, with reproductive traits showing the highest values. For 17 of 18 traits, neutral divergence is rejected, suggesting they were targets of selection during domestication. Yield (total grain weight) per plant is the sole trait that selection does not appear to have improved in maize relative to teosinte. From a multivariate evolution perspective, we identified a strong, nonneutral divergence between teosinte and maize landrace genetic variance-covariance matrices (G-matrices). While the structure of G-matrix in teosinte posed considerable genetic constraint on early domestication, the maize landrace G-matrix indicates that the degree of constraint is more unfavorable for further evolution along the same trajectory.