Exploring watershed ecological risk bundles based on ecosystem services: A case study of Shanxi Province, China.

Humans are having an increasingly profound impact on the environment along with the advent of the Anthropocene. Ecological risk assessment (ERA) as a method to quantify ecological problems can provide support for decision-makers, and it is one of key issues to integrate ecosystem services into ERA. In this study, an ERA framework was proposed under the loss-probability paradigm from the perspective of ecosystem services risk bundles. The results showed that initiatives aimed at ecological protection in Shanxi Province had been effective, the number of watersheds with low-risk bundles increased significantly (from 16.09% to 34.49%) and the watersheds basically overlapped with key forestation areas. However, the effects of forestation activities may no longer be as significant as they once were, as the relationship between forestation and water supply was becoming increasingly contradictory. Meanwhile, the conflict between urban expansion and natural ecosystem protection was intensifying, habitat degradation risks were gradually polarized, and the risk bundles dominated by high carbon emission and habitat degradation were increasing significantly (from 15.88% to 33.54%). Strengthening the construction of urban green space and controlling the expansion of human activities may be the next focus of ecological conservation in Shanxi Province. This study enriched the ERA framework with an ecosystem services risk bundle approach.

Prevalence and genotype/subtype distribution of Enterocytozoon bieneusi and Blastocystis in donkeys in Shanxi Province, north China.

Enterocytozoon bieneusi and Blastocystis may cause diarrhea in humans and various animals. However, little information is available regarding the prevalence and genetic diversity of E. bieneusi and Blastocystis in donkeys. To fill this gap, we molecularly assessed E. bieneusi and Blastocystis in fecal samples from donkeys (n = 815) in Shanxi Province, north China. The overall prevalence of E. bieneusi and Blastocystis in donkeys was 8.1% and 0.2%, respectively. Region and age were risk factors associated with E. bieneusi infection in donkeys. Three internal transcribed spacer (ITS) genotypes of E. bieneusi were identified in the current study, including two previously described genotypes (D and Henan-IV) and one novel genotype (named SXD1). Of which, genotype D was found to be the most prevalent. Phylogenetic analysis demonstrated that the three genotypes belonged to group 1, implying a potential of zoonotic transmission. Multilocus sequence typing showed that 19, 15, 13, and 22 types were identified at the loci MS1, MS3, MS4, and MS7, respectively, forming six multilocus genotypes (MLGs) distributed in the genotype D. One Blastocystis subtype (ST33) was identified, which has previously been reported only in horses. This is the first molecular-based description of E. bieneusi and Blastocystis infections in donkeys in Shanxi Province, north China, contributing to a better understanding of transmission dynamics and molecular epidemiological characteristics of the two intestinal protozoa.

First record of cyst nematode (Heterodera filipjevi) on winter wheat from Shanxi Province in North China.

Heterodera avenae, H. filipjevi, and H. laptipons are considered to be the major cyst nematode pathogens affecting most cereals and causing severe crop losses (Smiley and Yan 2015). In China, H. filipjevi was first recorded in Xuchang, Henan Province (Peng et al. 2010). Recently, H. filipjevi has been found in Anhui, Hebei, Shandong and Xinjiang provinces of China (Cui et al. 2021). To further understand the latest occurrence and distribution of H. filipjevi in China, a survey of cyst nematodes was conducted in the wheat planting area of Shanxi Province of North China from June 2018 to November 2020. White female cysts (5.8 ± 2.99 cysts per plant) were found on wheat roots in the sandy soil, and wheat was displaying symptoms of dwarfing, yellowing, and had few tillers in Licheng of Changzhi (N36°32´010´´, E113°27´039´´; N36°29´050´´, E113°23´023´´; N36°29´035´´, E113°22´020´´) and Zezhou of Jincheng (N35°33´057´´, E112°56´020´´) in Shanxi Province, and second-stage juveniles (J2s) were obtained from 13 soil samples using the sieving-decanting method. Four of the 13 samples were identified as H. filipjevi on the basis of morphological and molecular studies of female cysts and J2s. Morphologically, the cysts were lemon shaped and featured a pronounced vulval cone. The color ranged from light to dark brown. The white female shell was covered with a white crystalline layer. The vulval cone was bifenestrate with horseshoe-shaped bullae numerous and distinct, and a strongly developed underbridge. The main measurements (mean ± SD, range) of cysts (n = 13) were as follows: body length including neck 780.5 ± 53.9 µm (692 to 843 µm); body width 527.3 ± 55.5 µm (435 to 620 µm); length/width ratio 1.50 ± 0.21 (1.20 to 1.93); fenestra length 55.5 ± 4.1 µm (49 to 61 µm); fenestra width 24.8 ± 2.2 µm (21.1 to 28.8 µm); vulval slit length 9.0 ± 0.7 µm (7.8 to 9.6 µm); and underbridge length 66.8 ± 5.0 µm (61 to 77 µm). The measurements of J2s (n = 13) were as follows: body length 554.4 ± 23.4 µm (520to 587 µm); stylet length 22.7 ± 0.7 µm (21.5 to 23.8 µm); tail length 61.0 ± 5.5 µm (51.2 to 68.9 µm); and hyaline tail terminus length 37.3 ± 2.7 µm (33.4 to 42.3 µm). These morphological measurements are within the range characteristic of H. filipjevi (Peng et al. 2010). Genomic DNA was extracted from individual cyst (n = 6) and the rDNA internal transcribed spacer (ITS) sequence was amplified using the universal primers TW81 and AB28 (Joyce et al. 1994). The PCR test for each sample was repeated five times. The obtained ITS sequences (GenBank accession No. OQ421499 to OQ421502, 1054 bp) showed more than 99.5% similarity to those of H. filipjevi from the United States (GU079654 and KP878490), Turkey (KR704304 and KR704292), and China (MW789611, KY448473 and KT314234). The results were confirmed again by the species-specific primers HfF1 and HfR1of H. filipjevi and the target PCR fragments of 646 bp were obtained (Peng et al. 2013). The pathogenicity of H. filipjevi was verified by infesting winter wheat (Triticum aestivum 'Wenmai 19') and studying nematode developmentand reproduction with growth chamber (Cui et al. 2015). Eggs were hatched at 14-16°C, and freshly hatched J2s were used to inoculate wheat plants when the roots were approximately 1-centimeter long. Fifteen wheat plants were inoculated with 200 J2s, and three wheat plants without J2s were set as controls (Cui et al. 2021). Parasitic J2s and third- and fourth-stage juveniles were found in roots stained with acid fuchsin at 5, 15, and 25 days after inoculation (DAI), adult females were detected at 50 DAI, and a mean of 23.7 cysts per pot were extracted at 70 DAI (Cui et al. 2015). The morphological and molecular characteristics of the new cysts were identical to those of the H. filipjevi cysts from the original field samples, and no cysts formed in the control groups. Wheat is the main food and economic crop in Shanxi, and H. filipjevi, a potential threat to cereal crop production in Shanxi, should arouse sufficient attention. H. filipjevi is major cyst nematode pathogens of wheat and shows high prevalence in China. The loss of wheat production due to H. filipjevi is as high as 32.3% when the initial density ≥ 64 eggs/mL in soil (Li 2018). To the best of our knowledge, this is the first report of H. filipjevi in Shanxi Province of North China.

Serological evidence of bovine viral diarrhea virus and peste des petits ruminants virus infection in alpacas (Vicugna pacos) in Shanxi Province, northern China.

Bovine viral diarrhea virus (BVDV) and peste des petits ruminants virus (PPRV) are two important pathogens associated with a variety of disease syndromes that result in substantial financial losses in animal husbandry. This study was performed to assess the seroprevalence of antibodies to BVDV and PPRV among alpacas raised in Shanxi Province of northern China. Serum samples were obtained from 246 alpacas in Taiyuan (n=182), Xinzhou (n=31), and Jinzhong cities (n=33) of Shanxi Province, and serological testing was carried out using the competitive enzyme-linked immunosorbent assay. Overall seroprevalence to BVDV was 3.25% (95% CI 1.03-5.47), and seropositive alpacas were found only in Taiyuan City. The overall PPRV seroprevalence in alpacas was 28.86% (95% CI 23.20-34.52). While no PPRV-seropositive alpacas were found in Xinzhou City, the seroprevalence of PPRV was 90.91% (95% CI 81.10-100.72) in Jinzhong City and 22.53% (95% CI 16.46-28.60) in Taiyuan City, respectively, which showed a statistically significant difference. To our knowledge, the present work is the first report on seroprevalence of BVDV and PPRV in alpacas in China, which provides baseline information for the control of infection.

Intestinal Microbiota Is Altered in Patients with Gastric Cancer from Shanxi Province, China.

BACKGROUND: Many diseases have been associated with intestinal microbial dysbiosis. Host-microbial interactions regulate immune function, which influences the development of gastric cancer. AIMS: The aims were to investigate the characteristics of intestinal microbiota composition in gastric cancer patients and correlations between the intestinal microbiota and cellular immunity. METHODS: Fecal samples were collected from 116 gastric cancer patients and 88 healthy controls from Shanxi Province, China. The intestinal microbiota was investigated by 16S rRNA gene sequencing. Peripheral blood samples were also collected from the 66 gastric cancer patients and 46 healthy controls. The populations of peripheral T lymphocyte subpopulations and NK cells were analyzed by flow cytometry. RESULTS: The intestinal microbiota in gastric cancer patients was characterized by increased species richness, decreased butyrate-producing bacteria, and the enrichment of other symbiotic bacteria, especially Lactobacillus, Escherichia, and Klebsiella. Lactobacillus and Lachnospira were key species in the network of gastric cancer-associated bacterial genera. The combination of the genera Lachnospira, Lactobacillus, Streptococcus, Veillonella, and Tyzzerella_3 showed good performance in distinguishing gastric cancer patients from healthy controls. There was no significant difference in enterotype distribution between healthy controls and gastric cancer patients. The percentage of CD3+ T cells was positively correlated with the abundance of Lactobacillus and Streptococcus, and CD3+ T cells, CD4+ T cells, and NK cells were associated with Lachnospiraceae taxa. CONCLUSIONS: Our study revealed a dysbiotic intestinal microbiota in gastric cancer patients. The abundance of some intestinal bacterial genera was correlated with the population of peripheral immune cells.

Prevalence and multilocus genotypes of Enterocytozoon bieneusi in alpacas (Vicugna pacos) in Shanxi Province, northern China.

Enterocytozoon bieneusi is a single-celled obligate pathogen that seriously threatens animal and public health. However, information on the prevalence and genotypes of E. bieneusi in alpacas in China is limited. In the present study, 366 fresh fecal samples from alpacas in Shanxi Province, northern China, were collected to detect E. bieneusi by nested PCR amplification of the internal transcribed spacer (ITS) of nuclear ribosomal DNA (rDNA). The overall prevalence of E. bieneusi in alpacas was 4.4% (16/366), including 3.9% (12/305) in Yangqu County and 6.6% (4/61) in Dai county, respectively. Four known genotypes were identified, namely ALP1, ALP3, P, and SH11, all of which belong to the zoonotic group 1 by phylogenetic analysis. Moreover, ITS-positive samples were further characterized by PCR amplification of other four targets, including three microsatellites (MS1, MS3, and MS7) and one minisatellite (MS4). Multilocus sequence typing (MLST) showed that 5, 2, 3, and 3 types were identified at MS1, MS3, MS7, and MS4 loci, respectively, representing eight multilocus genotypes (MLGs). These findings contribute to the improved understanding of the prevalence and genotypes of E. bieneusi in alpacas in China and have important implications for controlling E. bieneusi infections in animals and humans.

Epidemic characteristics, high-risk townships and space-time clusters of human brucellosis in Shanxi Province of China, 2005-2014.

BACKGROUND: Brucellosis, one of the world's most important zoonosis, has been re-emerging in China. Shanxi Province, located in northern China, where husbandry development has been accelerated in recent years, has a rather high incidence of human brucellosis but drew little attention from the researchers. This study aimed to describe the changing epidemiology of human brucellosis in Shanxi Province from 2005 to 2014 and explore high-risk towns and space-time clusters for elucidating the necessity of decentralizing disease control resource to township level in epidemic regions, particularly in hotspot areas. METHODS: We extracted data from the Chinese National Notifiable Infectious Disease Reporting System to describe the incidence and spatiotemporal distribution of human brucellosis in Shanxi Province. Geographic information system was used to identify townships at high risk for the disease. Space-Time Scan Statistic was applied to detect the space-time clusters of human brucellosis during the past decade. RESULTS: From 2005 to 2014, a total of 50,002 cases of human brucellosis were recorded in Shanxi, with a male-to-female ratio of 3.9:1. The reported incidence rate increased dramatically from 7.0/100,000 in 2005 to 23.5/100,000 in 2014, with an average annual increase of 14.5%. There were still 33.8% cases delaying diagnosis in 2014. The proportion of the affected towns increased from 31.5% in 2005 to 82.5% in 2014. High-risk towns spread from the north to the center and then south of Shanxi Province, which were basins and adjacent highlands suitable for livestock cultivation. During the past decade, there were 55 space-time clusters of human brucellosis detected in high risk towns; the clusters could happen in any season. Some clusters' location maintained stable over time. CONCLUSIONS: During the last decade, Shanxi province's human brucellosis epidemic had been aggravated and high-risk areas concentrated in some towns located in basins and adjacent highlands. Space-time clusters existed and some located steadily over time. Quite a few cases still missed timely diagnosis. Greater resources should be allocated and decentralized to mitigate the momentum of rise and improve the accessibility of prompt diagnosis treatment in the high-risk townships.

Molecular Identification and Survey of Trichomonad Species in Pigs in Shanxi Province, North China.

Several trichomonad species have already been identified in pigs, and their pathogenic potential may not be ruled out. To date, however, no information is available regarding the prevalence of trichomonads in pigs in Shanxi Province, North China. In the present study, a total of 362 fecal samples collected from pigs in three representative counties (Qi, Jishan, and Shanyin) in this province were examined for Tetratrichomonas buttreyi, Tritrichomonas foetus, and Pentatrichomonas hominis using a nested polymerase chain reaction (PCR) with primers targeting the small subunit ribosomal RNA (SSU rRNA) gene. The overall prevalence of T. buttreyi was 49.72%, and region and age were found to be significantly associated with T. buttreyi infection, respectively. Only one pig fecal sample from Qi County was found to be positive for T. foetus, and all samples were negative for P. hominis. Molecular evolutionary analysis revealed that some T. buttreyi isolates showed complete genetic identity with those reported previously, and some T. buttreyi isolates and one T. foetus isolate showed minor allelic variations compared with those reported previously. This is the report of the molecular epidemiology of T. foetus and T. buttreyi in pigs in Shanxi Province, North China. These findings not only enrich the knowledge on the distribution of these trichomonad species in pigs in China but also provide baseline information for planning future research and control strategies.

Molecular Identification and Survey of Cyclospora spp. in Cattle in Shanxi Province, North China.

To date, more than 20 species in the genus Cyclospora have been reported. Among them, Cyclospora cayetanensis has been recognized as the causative agent of human cyclosporiasis, which is characterized by severe intestinal injury and prolonged diarrhea in patients with immune dysfunction. The presence of C. cayetanensis in cattle has been confirmed. To date, however, no surveillance data are available on the occurrence and prevalence of Cyclospora spp. in cattle in Shanxi Province, North China. In the present study, a total of 761 fecal samples collected from cattle in three representative counties (Qi, Jishan, and Shanyin) in this Province were examined for Cyclospora spp. by using a polymerase-chain-reaction-restriction-fragment-length polymorphism (PCR-RFLP) test based on the nuclear small subunit ribosomal RNA (SSU rRNA) gene. The prevalence of Cyclospora spp. in cattle was 2.1%, and region, age, sex, and breed were not identified to be risk factors. Molecular evolutionary analysis based on the SSU rRNA sequences revealed that all 12 of the isolates were relatively distant from the human pathogen C. cayetanensis; seven isolates were grouped with Cyclospora colobi, whereas the others were grouped with cattle Cyclospora spp. reported previously. Though C. cayetanensis was not detected in cattle in the present study, more investigations should be performed in human populations, other animal species, or cattle from other regions of Shanxi Province and other environmental sources from the One Health perspective.

Prevalence and Genetic Characterization of Giardia duodenalis and Blastocystis spp. in Black Goats in Shanxi Province, North China: From a Public Health Perspective.

Blastocystis spp. and Giardia duodenalis are two prevalent zoonotic intestinal parasites that can cause severe diarrhea and intestinal diseases in humans and many animals. Black goat (Capra hircus) farming is increasingly important in China due to the remarkable adaptability, high reproductive performance, rapid growth rate, and significant economic value of black goats. A number of studies have indicated that black goats are the potential reservoir of multiple zoonotic protozoans in China; however, the prevalence and zoonotic status of G. duodenalis and Blastocystis spp. in black goats in Shanxi Province is still unknown. Thus, a total of 1200 fecal samples of black goats were collected from several representative regions at different altitudes in Shanxi Province and were examined for the presence and genotypes of G. duodenallis and Blastocystis spp. by amplifying the beta-giardin (bg), glutamate dehydrogenase (gdh), and triosephosphate isomerase (tpi) loci of G. duodenalis and SSU rRNA of Blastocystis spp. using PCR and sequence analysis methods, respectively. The overall prevalence of G. duodenalis and Blastocystis spp. in black goats in Shanxi Province were 7.5% and 3.5%, respectively. Two assemblages (B and E) of G. duodenalis and four subtypes (ST5, ST10, ST14, and ST30) of Blastocystis spp. were identified, with assemblage E and ST10 as the prevalent genotype and subtype in black goats, respectively. One novel multilocus genotype (MLG) was identified in MLG-E and was designated as MLG-E12. For both G. duodenalis and Blastocystis spp., the prevalence was significantly related to the region and age groups (p < 0.05). This is the first report on the prevalence of G. duodenalis and Blastocystis spp. in black goats in Shanxi Province. These results not only provide baseline data for the prevention and control of both parasites in black goats in Shanxi Province, but also enhance our understanding of the genetic composition and zoonotic potential of these two parasites.

High-resolution satellite estimates of coal mine methane emissions from local to regional scales in Shanxi, China.

Coal mines are significant anthropogenic sources of methane emissions, detectable and traceable from high spatial resolution satellites. Nevertheless, estimating local or regional-scale coal mine methane emission intensities based on high-resolution satellite observations remains challenging. In this study, we devise a novel interpolation algorithm based on high-resolution satellite observations (including Gaofen5-01A/02, Ziyuan-1 02D, PRISMA, GHGSat-C1 to C5, EnMAP, and EMIT) and conduct assessments of annual mean coal mine methane emissions in Shanxi Province, China, one of the world's largest coal-producing regions, spanning the period 2019 to 2023 across various scales: point-source, local, and regional. We use high-resolution satellite observations to perform interpolation-based estimations of methane emissions from three typical coal-mining areas. This approach, known as IPLTSO (Interpolation based on Satellite Observations), provides spatially explicit maps of methane emission intensities in these areas, thereby providing a novel local-scale coal mine methane emission inventory derived from high-resolution top-down observations. For regional-scale estimation and mapping, we utilize high-resolution satellite data to complement and substitute facility-level emission inventories for interpolation (IPLTSO+GCMT, Interpolation based on Satellite Observations and Global Coal Mine Tracker). We evaluate our IPLTSO and IPLTSO+GCMT estimation with emission inventories, top-down methane emission estimates from TROPOMI observations, and TROPOMI's methane concentration enhancements. The results suggest a notable right-skewed distribution of methane emission flux rates from coal mine point sources. Our IPLTSO+GCMT estimates the annual average coal mine methane emission in Shanxi Province from 2019 to 2023 at 8.9 ±â€¯0.5 Tg/yr, marginally surpassing top-down inversion results from TROPOMI (8.5 ±â€¯0.6 Tg/yr in 2019 and 8.6 ±â€¯0.6 Tg/yr in 2020). Furthermore, the spatial patterns of methane emission intensity delineated by IPLTSO+GCMT and IPLTSO closely mirror those observed in TROPOMI's methane enhancements. Our comparative assessment underscores the superior performance and substantial potential of the developed interpolation algorithm based on high-resolution satellite observations for multi-scale estimation of coal mine methane emissions.

Seroprevalence and Risk Factors of Chlamydia Infection in Cattle in Shanxi Province, North China.

The information on Chlamydia infection in cattle is limited in Shanxi Province, north China. This study aimed to investigate the seroprevalence and risk factors of Chlamydia and Chlamydia abortus infection in cattle in Shanxi Province. In November 2020, a large-scale investigation of Chlamydia seroprevalence was conducted on 981 cattle serum samples collected from 40 cattle farms in 11 cities of Shanxi Province. The seroprevalence of Chlamydia and C. abortus was examined by indirect hemagglutination assay (IHA) and enzyme-linked immunosorbent assay (ELISA), respectively. The seroprevalence of Chlamydia and C. abortus was 52.29% (513/981) and 2.96% (29/981), respectively, in cattle in Shanxi Province. Location was identified as a risk factor for Chlamydia and C. abortus infection (p < 0.05). Under different management patterns, the seroprevalence of Chlamydia and C. abortus in large-scale animal farming companies was higher than that in household animal farms and animal farming cooperatives, and only the seroprevalence of Chlamydia was significantly different in different management patterns (p < 0.01). The results showed that there was higher seroprevalence of Chlamydia in cattle in Shanxi Province, while C. abortus was not the dominant species. This study provided baseline information on Chlamydia infection in cattle in Shanxi Province, which constitutes valuable data for monitoring livestock health and preventing potential zoonoses.

Prevalence and Genetic Characterization of Blastocystis in Sheep and Pigs in Shanxi Province, North China: From a Public Health Perspective.

Blastocystis is a common zoonotic intestinal protozoan and causes a series of gastrointestinal symptoms in humans and animals via the fecal-oral route, causing economic losses and posing public health problems. At present, the prevalence and genetic structure of Blastocystis in sheep and pigs in Shanxi province remains unknown. Thus, the present study collected 492 sheep fecal samples and 362 pig fecal samples from three representative counties in northern, central and southern Shanxi province for the detection of Blastocystis based on its SSU rRNA gene. The results showed that the overall prevalence of Blastocystis in the examined sheep and pigs were 16.26% and 14.09%, respectively. Sequences analyses showed that four known subtypes (ST5, ST10, ST14 and ST30) in sheep and two subtypes (ST1 and ST5) in pigs were detected in this study, with ST5 being the predominate subtype among the study areas. Phylogenetic analysis showed that the same subtypes were clustered into the same branch. This study reveals that sheep and pigs in Shanxi province are hosts for multiple Blastocystis subtypes, including the zoonotic subtypes (ST1 and ST5), posing a risk to public health. Baseline epidemiological data are provided that help in improving our understanding of the role of zoonotic subtypes in Blastocystis transmission.

Seroprevalence of Toxoplasma gondii infection in sheep and cattle in Shanxi Province, North China.

Toxoplasmosis is a worldwide zoonotic disease caused by infection with the intracellular protozoan parasite Toxoplasma gondii, posing significant economic losses to the livestock industry. As a major livestock province, little is known of the prevalence of T. gondii infection in sheep and cattle in Shanxi Province, North China. In this study, a total of 1962 blood samples from cattle (n = 978) and sheep (n = 984), collected from 11 administrative cities in Shanxi Province, were examined for antibodies against T. gondii by using the indirect enzyme linked immunosorbent assay (ELISA) kits commercially available. The results showed that antibodies to T. gondii were detected in 306 of the 978 cattle serum samples (31.29%, 95% CI 28.38-34.19), ranging from 12.64% to 60.00% among the different cities. The overall seroprevalence of T. gondii in sheep was 17.78% (175/984, 95% CI 15.40-20.17), ranging from 2.22% to 41.11% among the different administrative cities. The T. gondii seroprevalence was associated with the management mode and geographical location. This is the first report of T. gondii seroprevalence in cattle and sheep in Shanxi Province, North China, which provides baseline data to plan future control strategies for T. gondii infection in this province.

Prevalence and Multilocus Genotyping of Giardia duodenalis in Donkeys in Shanxi Province, North China.

Giardia duodenalis is a ubiquitous flagellated protozoan, causing significant economic losses to animal husbandry and posing threats to public health. China ranks the world's sixth largest major producer of donkeys, rearing approximately 2.6 million donkeys in 2019, but limited investigation of G. duodenalis prevalence has been conducted in the past, and it is yet to be known whether donkeys in Shanxi Province are infected with G. duodenalis. In the present study, a total of 815 fecal samples collected from donkeys in representative regions of Shanxi Province, North China, were examined for G. duodenalis using nested PCR. Then, the assemblages and multilocus genotypes (MLGs) were examined based on three established loci: namely, ß-giardin (bg), triosephosphate isomerase (tpi), and glutamate dehydrogenase (gdh). The overall prevalence of G. duodenalis in donkeys in Shanxi Province was 16.81% (137/815). The region was identified as the main risk factor for the observed difference in G. duodenalis prevalence in donkeys among the three study areas (χ2 = 21.611, p < 0.001). Assemblages A, E, and B were identified, with the latter as the predominant assemblage. Three MLGs (MLG-novel-1 to 3) were formed based on sequence variation among the three loci. The present study reveals the presence of G. duodenalis in donkeys in Shanxi Province, North China, for the first time, which not only enriches the data on the distribution of G. duodenalis in donkeys in China but also provides useful baseline data for planning control strategies against G. duodenalis infection in the sampled areas.

Health­risk assessment and distribution characteristics of fluoride in groundwater in six basins of Shanxi Province, Middle China.

High-fluoride (F) pollution is an environmental problem that severely affects the growth of human beings, animals and plants. High-fluoride groundwater severely harms the health of Shanxi residents and leads to frequent endemic diseases. This study aims to analyze the differences and possible health risks of fluoride among six basins in Shanxi Province, North China, using 338 groundwater samples collected from wells, infer the main sources of fluoride in the groundwater, and provide valuable suggestions for fluoride contamination in regional groundwater. The results revealed that F in the Yuncheng basin had the highest health risk. In addition to the Changzhi basin, the groundwater at the sampling points in other basins had adverse effects on human health. The main source of fluoride in groundwater is the dissolution of fluoride-containing minerals, which has little to do with human activities. The groundwater in Shanxi Province tends to be alkaline, and the fluorite saturation index is less than 0 in most circumstances, indicating that fluorite is in an unsaturated state, and fluoride will continue to dissolve into groundwater under suitable conditions. Clustering analysis shows that the high-fluoride areas are mainly distributed in the Yuncheng basin and the southern part of the Xinzhou basin. Fluoride-rich groundwater in a basin often exists only in a certain area, and the distribution of confined water and unconfined water in high-fluoride areas is different. Fluoride contamination in the Changzhi basin is not severe. For the high-fluoride areas in the Datong basin, Xinzhou basin, Taiyuan basin and Linfen basin, utilizing water from other areas or exploiting groundwater from other aquifers to diminish the harm of high-fluoride groundwater intake for a long period is suggested. For the Yuncheng basin, adopting membrane-based processes or variable temperature drop fluoride technology to make groundwater contaminated by excessive fluoride potable is recommended.

Molecular Identification and Genotyping of Cryptosporidium spp. and Blastocystis sp. in Cattle in Representative Areas of Shanxi Province, North China.

Both Cryptosporidium spp. and Blastocystis sp. are common intestinal protozoa, which can cause zoonotic diseases and economic losses to livestock industry. To evaluate the prevalence and genetic population structure of Cryptosporidium spp. and Blastocystis sp. in beef and dairy cattle in Shanxi Province, north China, a total of 795 fecal samples were collected from beef and dairy cattle in three representative counties in Shanxi Province, and these fecal samples were examined using molecular approaches based on 18S small-subunit ribosomal RNA (SSU rRNA) of Cryptosporidium spp. and Blastocystis sp., respectively. Among 795 cattle fecal samples, 23 were detected as Cryptosporidium-positive and 103 were detected as Blastocystis-positive, and the overall prevalence of Cryptosporidium spp. and Blastocystis sp. in cattle in Shanxi Province was 2.9% and 13.0%, respectively. For Cryptosporidium spp., DNA sequence analysis indicated that all 23 positive samples were identified as C. andersoni. Furthermore, five known subtypes (ST1, ST10, ST14, ST21 and ST26) and three unknown subtypes of Blastocystis sp. were detected among 103 positive samples using DNA sequence analysis. This study reported the occurrence and prevalence of Cryptosporidium spp. and Blastocystis sp. in cattle in Shanxi Province for the first time, which extends the geographical distribution of these two zoonotic parasites and provides baseline data for the prevention and control of these two important zoonotic parasites in cattle in Shanxi Province.

Development of a Comprehensive Quality Evaluation System for Foxtail Millet from Different Ecological Regions.

Foxtail millet (Setaria italica L.) is a critical grain with high nutritional value and the potential for increased production in arid and semiarid regions. The foxtail millet value chain can be upgraded only by ensuring its comprehensive quality. Thus, samples were collected from different production areas in Shanxi province, China, and compared in terms of quality traits. We established a quality evaluation system utilizing multivariate statistical analysis. The results showed that the appearance, nutritional content, and culinary value of foxtail millet produced in different ecological regions varied substantially. Different values of amino acids (DVAACs), alkali digestion values (ADVs), and total flavone content (TFC) had the highest coefficients of variation (CVs) of 50.30%, 39.75%, and 35.39%, respectively. Based on this, a comprehensive quality evaluation system for foxtail millet was established, and the quality of foxtail millet produced in the five production areas was ranked in order from highest to lowest: Dingxiang > Zezhou > Qinxian > Xingxian > Yuci. In conclusion, the ecological conditions of Xinding Basin are favorable for ensuring the comprehensive quality of foxtail millet. .

Higher Adherence to Plant-Based Diet Lowers Type 2 Diabetes Risk among High and Non-High Cardiovascular Risk Populations: A Cross-Sectional Study in Shanxi, China.

This study aimed to investigate the association between the plant-based diet index (PDI) score and T2D risk among residents of Shanxi Province, China, and explore whether the association was influenced by different levels of cardiovascular risk. A total of 50,694 participants aged 35-75 years were recruited between 2017 and 2019, and they were further divided into the high cardiovascular risk population (HCRP; n = 17,255) and the non-high cardiovascular risk population (non-HCRP; n = 33,439). The PDI was calculated based on food frequency from a food frequency questionnaire (FFQ). Incident T2D was defined based on elevated plasma glucose (≥7 mmol/L) or hypoglycemic medicine use. We investigated the association of the PDI andT2D risk using a two-level generalized estimating equation and restricted cubic splines model. The results showed that quartile 4 of the PDI indicated significantly reduced T2D risk in the total population (OR: 0.83; 95% CI: 0.75-0.92), HCRP (OR: 0.80; 95% CI: 0.71-0.91), and non-HCRP (OR: 0.80; 95% CI: 0.74-0.87) compared with corresponding quartile 1 (OR = 1). In stratified analysis, the negative associations between PDI and T2D risk were stronger in the total population with the elderly (age > 60 years), BMI < 24, and men, and in the non-HCRP with men and BMI 24-28, and in the HCRP with the elderly and BMI < 24 than those with corresponding subgroups (pinteraction < 0.05). Linear curves were observed for the total population and non-HCRP, but an L-shaped association was observed for the HCRP. Therefore, our results suggest that higher PDI scores may effectively attenuate the T2D risk in the Chinese population and non-HCRP, and a beneficial association of PDI with T2D risk was observed in the HCRP at a certain threshold level. Longitudinal studies and intervention trials are required to validate our study findings.

[Analysis of Spatiotemporal Variation Characteristics and Driving Forces of NPP in Shanxi Province from 2000 to 2020 Based on Geodetector].

The net primary productivity (NPP) of vegetation, as an indispensable element in carbon cycle studies, characterizes plant growth status. This study applied MODIS NPP products from 2000 to 2020 and multi-source data on elevation, slope, precipitation, temperature, land use, and population density in Shanxi province. We used trend analysis, correlation analysis, and geographic probes to explore the spatial and temporal evolution characteristics and driving factors of NPP in Shanxi province and its national planned coal-mining areas. The results showed that: ① the overall NPP exhibited a fluctuating upward trend from 2000 to 2020, with an average rate of increase (in terms of C) of 6.7 g·(m2·a)-1. The total NPP varied significantly among different land types, with arable land>forest land>grassland>construction land>water area>unused land. ② The spatial heterogeneity of NPP changes was obvious, with lower NPP values in the western and northern regions and higher average NPP values in the eastern and southern regions; the NPP comparison of three major coal bases showed that Jindong coal base>Jinzhong coal base>Jinbei coal base. ③ The correlation between NPP and precipitation was high, with 62.2% of regions having a significant correlation (P<0.05), mainly in central and eastern Shanxi province. The relationship between NPP changes and temperature was weak, with only 1.10% of regions having a significant correlation (P<0.05). ④ The comparison of the q-means of each factor in different years based on geographic probes showed that precipitation (0.165)>land use (0.124)>population density (0.085)>slope (0.080)>elevation (0.064)>air temperature (0.024), further indicating that precipitation was the dominant driver of NPP changes over the years. 5 The influence of the two-factor interaction was significantly higher than that of the single factor, and the influence of anthropogenic factors was gradually increasing. From 2000 to 2020, the interaction factor precipitation∩population density (0.275) with the highest explanatory power replaced precipitation∩temperature (0.385) as the interaction factor precipitation with the highest explanatory power.