In recent decades, because of significant progress in the analysis and detection of trace pollutants, emerging contaminants have been discovered and quantified in living beings and diverse environmental substances; however, the adverse effects of environmental exposure on the general population are largely unknown. This review summarizes the conclusions of the comprehensive epidemic literature and representative case reports relevant to emerging contaminants and the human body to address concerns about potential harmful health effects in the general population. The most prevalent emerging contaminants include perfluorinated compounds, water disinfection byproducts, gasoline additives, manufactured nanomaterials, human and veterinary pharmaceuticals, and UV-filters. Rare but statistically meaningful connections have been reported for a number of contaminants and cancer and reproductive risks. Because of contradictions in the outcomes of some investigations and the limited number of articles, no significant conclusions regarding the relationship between adverse effects on humans and extents of exposure can be drawn at this time. Here, we report that the current evidence is not conclusive and comprehensive and suggest prospective cohort studies in the future to evaluate the associations between human health outcomes and emerging environmental contaminants.
The beet armyworm, Spodoptera exigua (Lepidoptera: Noctuidae), is an important agriculture pest in China that causes serious economic losses in some of the main crop‐producing areas. To monitor and manage this pest effectively, it is necessary to investigate its phylogeographic patterns in China. In this study, we used a partial sequence of mitochondrial DNA Cytb gene consisting of 724 bps to investigate the genetic diversity of the beet armyworm. A total of 765 individuals from 47 populations across the main distribution range of the species were collected, and 112 haplotypes were identified. Moderate‐to‐high levels of genetic diversity (Hd = 0.672 ± 0.017, Pi = 0.00268 ± 0.00021) for the total populations were obtained. Phylogenetic and median‐joining network analyses indicated there was no distinct geographic distribution pattern among haplotypes. Overall, the study also revealed significant differentiation among some populations (P < 0.05). The FST values of Shenyang population (SY2012–SY 2014), as well as Baoding (BD), Taian (TA), Lucheng (LC), Zhengzhou (ZZ) and Wuhan (WH), were significantly different from those of the populations in most other locations. Hierarchical AMOVA showed there was no significantly genetic structure between populations located in seven geographic regions and four main bioclimatic zones. Finally, unimodal mismatch distribution combined with negative Tajima's D (D = −2.696, P < 0.001) and Fu's FS (FS = −207.228, P > 0.05) indicated recent population expansion of S. exigua at large spatial scales in China.
The beet armyworm, Spodoptera exigua (Lepidoptera: Noctuidae), is an economically important pest that causes major losses in some main crop-producing areas of China. To control this pest effectively, it is necessary to investigate its population genetic diversity and genetic structure around the Bohai Gulf area of China. In this study, we used two mitochondrial genes, COI (578 bp) and Cytb (724 bp), to investigate its genetic diversity. We obtained 622 COI sequences and 462 Cytb sequences from 23 populations, and 28 and 73 haplotypes, respectively, were identified. Low to moderate levels of genetic diversity (COI: Hd = 0.267 ± 0.023, Pi = 0.00082 ± 0.00010; Cytb: Hd = 0.689 ± 0.018, Pi = 0.00255 ± 0.00029) for the total populations were observed. Phylogenetic and median-joining network analyses indicated no distinct geographical distribution pattern among the haplotypes. Overall, this study revealed that there was significant differentiation among the populations (COI: F = 0.158, P < 0.001; Cytb: F = 0.148, P < 0.001). F values for Shenyang, Baoding, and Funing were significantly different to those for most of the other populations. Finally, unimodal mismatch distribution analysis, combined with negative neutrality test results, showed a recent population expansion of the beet armyworm around the Bohai Gulf area of China.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.