ABSTRACT
Launaea taraxacifolia (Willd.) Amin Ex C. Jeffrey (Asteraceae) popularly known as "African wild lettuce" is a neglected, underutilized, and sometimes classified as a weed in West and Central Africa. The plant has been naturalized in numerous regions of the world, including Asia, North America, Europe, and North Africa. This highly nutritional and medicinal leafy vegetable is endemic to some states in southwest, Nigeria. People who utilize the species still depend largely on its spontaneous appearance in the wild, except for some herbalists who cultivate it for therapeutic uses. Its domestication and cultivation are still at infant stage. Without the intervention of breeders, the full potential of this species would remain untapped. The inadequate information about the genetic diversity of L. taraxacifolia hinders its improvement through breeding programme and for conservation purposes, hence this dataset. A total of fifteen (15) accessions of L. taraxacifolia were collected from Oyo, Osun and Ogun states in Nigeria. The accessions were partitioned into three populations according to their collection states and subjected to DNA extraction, polymerase chain reaction amplification and Sanger sequencing using ribulose-1,5-carboxylase/oxygenase large subunit gene (rbcL). The dataset composed of partial rbcL gene sequences which provides information on L. taraxacifolia distribution in southwest, Nigeria, its genetic diversity, single nucleotide polymorphic information, codon usage bias and amino acids molecular weight profile. The dataset recorded a relatively low number of segregating sites (3), total number of haplotypes (4), and nucleotide diversity (0.298) with a high gene diversity (0.667) and average number of nucleotide differences (0.895). A significant low level of genetic differentiation (Fst) was recorded for the population in the decreasing order of 0.103 (Ogun and Oyo populations), 0.000 (Ogun and Osun populations) and -0.222 (Oyo and Osun populations). The unweighted pair group method with arithmetic mean revealed the genetic diversity and phylogenetic relationships of L. taraxacifolia accessions which could be explored for its domestication, cultivation, genetic improvement and conservation in Nigeria.
ABSTRACT
The environmental justice literature demonstrates consistently that low-income and minority communities are disproportionately exposed to environmental hazards. In this case study, we examined cumulative multipollutant, multidomain, and multimatrix environmental exposures in Milwaukee County, Wisconsin for the year 2015. We identified spatial hot spots in Milwaukee County both individually (using local Moran's I) and through clusters (using K-means clustering) across a profile of environmental pollutants that span regulatory domains and matrices of exposure, as well as socioeconomic indicators. The cluster with the highest exposures within the urban area was largely characterized by low socioeconomic status and an overrepresentation of the Non-Hispanic Black population relative to the county as a whole. In this cluster, average pollutant concentrations were equivalent to the 78th percentile in county-level blood lead levels, 67th percentile in county-level NO2, 79th percentile in county-level CO, and 78th percentile in county-level air toxics. Simultaneously, this cluster had an average equivalent to the 62nd percentile in county-level unemployment, 70th percentile in county-level population rate lacking a high school diploma, 73rd percentile in county-level poverty rate, and 28th percentile in county-level median household income. The spatial patterns of pollutant exposure and SES indicators suggested that these disparities were not random but were instead structured by socioeconomic and racial factors. Our case study, which combines environmental pollutant exposures, sociodemographic data, and clustering analysis, provides a roadmap to identify and target overburdened communities for interventions that reduce environmental exposures and consequently improve public health.
ABSTRACT
The Sun Valley Homes public housing in Denver, Colorado (CO) will be replaced because of its deteriorated condition. Our goal was to document the mold contamination and particulate matter (PM2.5) concentrations in Sun Valley homes and the circulatory and respiratory health of Sun Valley compared to all Denver residents (total 2761 and 1,049,046, respectively) based on insurance claims data for 2015 to 2019. Mold contamination in Sun Valley homes (n = 49) was quantified using the Environmental Relative Moldiness Index (ERMI) scale. Indoor PM2.5 concentrations were measured in Sun Valley homes (n = 11) using time-integrated, filter-based samples and quantified using gravimetric analysis. Outdoor PM2.5 concentrations data were obtained from a near-by United States Environmental Protection Agency monitoring station. In Sun Valley homes, the average ERMI value was 5.25 compared to -1.25 for other Denver homes. The PM2.5 median concentration inside Sun Valley homes was 7.6 µg/m3 (interquartile range - 6.4 µg/m3). The ratio of indoor to outdoor concentrations of PM2.5 was 2.3 (interquartile range - 1.5). In the last five years, ischemic heart disease was significantly more likely for Denver compared to Sun Valley residents. However, acute upper respiratory infections, chronic lower respiratory diseases and asthma were all significantly more likely for Sun Valley than Denver residents. Since the process of replacing and occupying the new housing will take several years, the next phase of the study will not occur until that process is complete.
