Toxicokinetics of selenate in earthworm sub-tissues and potential bio-accessibility assessment of earthworm-derived selenium.

Selenium (Se) pollution is mainly caused by anthropogenic activities, and the resulting biosecurity concerns have garnered significant attention in recent years. Using one-compartmental toxicokinetic (TK) modelling, this study explored the kinetic absorption, sub-tissue distribution, and elimination processes of the main Se species (selenate, Se(VI)) in the cultivated aerobic soil of the earthworm Eisenia fetida. The bio-accessibility of earthworm-derived Se was assessed using an in vitro simulated gastrointestinal digestion test to evaluate its potential trophic risk. The results demonstrated that Se accumulated in the pre-clitellum (PC) and total tissues (TT) of earthworms in a time- and dose-dependent manner. The highest Se levels in the PC, post-clitellum (PoC), and TT were 70.54, 57.93, and 64.26 mg/kg during the uptake phase, respectively. The kinetic Se contents in the earthworms PC and TT were consistent with the TK model but not with PoC. The earthworm TT exhibited a faster uptake (Kus = 0.83-1.02 mg/kg/day) and elimination rate of Se (Kee = 0.044-0.049 mg/kg/day), as well as a shorter half-life time (LT1/2 = 15.88-14.22 days) than PC at low soil Se levels (≤5 mg/kg). Conversely, the opposite trend was observed with higher Se concentrations (10 and 20 mg/kg). These results are likely attributable to the tissue specificity and concentration of the toxicant. Earthworms PC and TT exhibited a higher kinetic Se accumulation factor (BAFk) than steady-state BAF (BAFss), with values ranging from 8 to 24 and 3-13, respectively. Furthermore, the bio-accessibility of earthworm-derived Se to poultry ranged from 66.25 % to 84.35 %. As earthworms are at the bottom of the terrestrial food chain, the high bio-accessibility of earthworm-derived Se poses a potential risk to predators. This study offers data support and a theoretical foundation for understanding the biological footprint of soil Se and its toxicological impacts and ecological hazards.

Research on Real-Time Roundup and Dynamic Allocation Methods for Multi-Dynamic Target Unmanned Aerial Vehicles.

When multi-dynamic target UAVs escape, the uncertainty of the formation method and the external environment causes difficulties in rounding them up, so suitable solutions are needed to improve the roundup success rate. However, traditional methods can generally only enable the encirclement of a single target, and when the target is scattered and escaping, this will lead to encirclement failure due to the inability to sufficiently allocate UAVs for encirclement. Therefore, in this paper, a real-time roundup and dynamic allocation algorithm for multiple dynamic targets is proposed. A real-time dynamic obstacle avoidance model is established for the roundup problem, drawing on the artificial potential field function. For the escape problem of the rounding process, an optimal rounding allocation strategy is established by drawing on the linear matching method. The algorithm in this paper simulates the UAV in different obstacle environments to round up dynamic targets with different escape methods. The results show that the algorithm is able to achieve the rounding up of multiple dynamic targets in a UAV and obstacle scenario with random initial positions, and the task UAV, which is able to avoid obstacles, can be used in other algorithms for real-time rounding up and dynamic allocation. The results show that the algorithm is able to achieve the rounding up of multi-dynamic targets in scenarios with a random number of UAVs and obstacles with random locations. It results in a 50% increase in the rounding efficiency and a 10-fold improvement in the formation success rate. And the mission UAV is able to avoid obstacles, which can be used in other algorithms for real-time roundup and dynamic allocation.

Isolation, identification and the pathogenicity characterization of a Santee-Cooper ranavirus and its activation on immune responses in juvenile largemouth bass (Micropterus salmoides).

The largemouth bass virus (LMBV) isolate of Santee-Cooper ranavirus showed evidence of widespread infection in adult fish, but disease presentation caused by different viral strains exhibited considerable difference. In this study, a highly pathogenic LMBV-like resembling Santee-Cooper ranavirus was isolated and identified from juvenile largemouth bass. The pathogenicity and dynamic distribution of LMBV-like strain, histopathological analysis and host immune response of juvenile largemouth bass infected with LMBV-like were investigated. The results show that LMBV-like was highly pathogenic to juvenile fish, and the infected fish showed typical signs of acute haemorrhages and visceral enlargement. LMBV-like positive cells were found in the liver, spleen, kidney, gills, and intestinal tissue, and the virus content in spleen was the highest. Histopathological analysis showed different pathological changes in major tissues of diseased fish, mostly manifested as infiltration of inflammatory cell and histiocyte necrosis. In addition, humoral immune factors such as superoxide dismutase (SOD), catalase (CAT) and acid phosphatase (ACP) were used as serum indicators to evaluate the immune response of juvenile fish after infection. Quantitative real-time PCR (qRT-PCR) was used to evaluate the expression patterns of immune-related genes (CD40, IFN-γ, IgM, IL-1ß, IL-8, IL-12a, Mxd3, TGF-ß, and TNFα) in liver, spleen, and head kidney tissues. The results showed that immunological activity of the juvenile largemouth bass was significantly enhanced by LMBV-like infection. This research comprehensively systematically revealed the pathogenic characteristics of LMBV-like separated from juvenile largemouth bass and properties of the host's immune response caused by the virus infection, which providing a basis for further exploring the interaction between the virus and the host, and prevention and treatment of disease caused by Santee-Cooper ranavirus.

A two-stage stochastic variational inequality model for storage and dynamic distribution of medical supplies in epidemic management.

The storage and distribution of medical supplies are important parts of epidemic prevention and control. This paper first proposes a new nonsmooth two-stage stochastic equilibrium model of medical supplies in epidemic management. The first stage addresses the storage in the pre-disaster phase, and the second stage focuses on the dynamic distribution by enrolling competitions among multiple hospitals over a period of time in the post-disaster phase. The uncertainties are the numbers of infected people treated in multiple hospitals during the period of time, which are time-varying around a nominal distribution predicted by historical experience. The two-stage stochastic equilibrium model is further approximated and transformed to a monotone two-stage stochastic variational inequality (SVI) model that is computationally tractable, with the aid of a smooth approximation technique. We employ the progressive hedging method (PHM) to solve a case study in the city of Wuhan in China suffered from the COVID-19 pandemic. Numerical results are presented to demonstrate the effectiveness of the proposed model in planning the storage and dynamic distribution of medical supplies in epidemic management.

Comparative study of the bacterial communities throughout the gastrointestinal tract in two beef cattle breeds.

Investigation of the compositional and functional characteristics of the gastrointestinal bacterial community in beef cattle breeds can improve our understanding of the influence of gastrointestinal tract (GIT) regions and host breeds on the bacterial community. In this study, 16S ribosomal RNA (16S rRNA) gene amplicon sequencing was used to characterize the bacterial communities in the rumen, duodenum, jejunum, ileum, caecum, and colon of Xuanhan yellow cattle (XHC) and Simmental crossbred cattle (SXC). The results showed that the diversity of the bacterial population was different in GIT regions of XHC and SXC (P < 0.05). In total, ten bacterial phyla, sixteen bacterial genera, and nine metabolic pathways were identified in the core bacteria. The phyla Firmicutes, Bacteroidetes, and Proteobacteria were predominant, but their proportions were different in GIT regions (P < 0.05). The diversity, structure, and composition of the bacteria in the rumen were similar between the breeds (P > 0.05), and the indices in the intestine showed significant differences (P < 0.05). Moreover, the composition and structure of the bacterial communities in the rumen, small intestine, and large intestine were different regardless of the breed. Thus, the bacterial communities were different among the gastrointestinal regions in each breed, and the bacterial community in the rumen had more stable characteristics than that in the intestine between two breeds. Further studies may focus on the minor microbial communities and the functions of GIT bacteria to better understand gut-microbe interactions. KEY POINTS: • Differences in bacteria among gastrointestinal regions differ in cattle breeds. • Differences between the breeds in the ruminal bacteria are less pronounced than differences in the intestinal bacteria.

Comparative Analysis of Major Flavonoids among Parts of Lactuca indica during Different Growth Periods.

L. indica L. cv. Mengzao, a medicinal plant of the Ixeris genus, is rich in flavonoids. In order to thoroughly analyze the the distribution and dynamic change of major flavonoids in its various parts from different growth periods, the flavonoids extracted from L. indica L. cv. Mengzao were identified and quantitatively analyzed by ultra-high-performance liquid chromatography mass spectrometer (LC-MS/MS). Results indicated that 15 flavonoids were identified from L. indica L. cv. Mengzao, and rutin, luteolin, luteolin-7-O-glucoside, kaempferol, quercetin, and apigenin are the major flavonoids in L. indica L. cv. Mengzao. In general, the total flavonoids' content in different parts of L. indica L. cv. Mengzao followed the order flowers > leaves > stems > roots. Flowers and leaves are the main harvesting parts of L. indica L. cv. Mengzao, and the flowering period is the most suitable harvesting period. This study provides valuable information for the development and utilization of L. indica L. cv. Mengzao and determined the best part to harvest and the optimal time for harvesting.

Dynamic distribution of nasal microbial community in yaks (Bos grunniens) at different ages.

The significance of microbial community structure has been extensively recognized due to its key roles in metabolism, immunity, and health maintenance. Importantly, increasing evidence indicated that the dynamic distribution of microbial community structure can be used for evaluating the health condition of host. Yaks (Bos grunniens), mainly inhabiting in high-altitude hypoxic environment, are characterized by excellent adaptability and strong resistance. Currently, it has been determined that yaks possessed the complicated gastrointestinal microbial ecosystem, whereas not much is known about the nasal microbial community structure of yaks. Therefore, this study was performed to compare and analyze the differences in nasal microbiota of yaks with different ages by high-throughput sequencing. In this study, a total of 487,168 and 486,498 high-quality sequences were achieved from YYG (1-month-old yaks) and AYG (1-year-old yaks), respectively. Additionally, 5,340 operational taxonomic units (OTUs) were identified and 657 OTUs were in common among all samples. Proteobacteria and Firmicutes were the two most predominant phyla in all samples. Moreover, Actinobacteria and Bacteroidetes were the tertiary dominant phyla in YYG and AYG, respectively. At the level of genus, Moraxella, Faucicola, and Mannheimia were the most preponderant bacterial genera in the young and adult yaks. As compared to the AYG, the proportions of Actinobacillus, Parabacteroides, and Haemophilus in the YYG were significantly increased, whereas the Rhizobacter was decreased. In conclusion, this study firstly compared and investigated the distribution of nasal microbiota in yaks with different ages. Results demonstrated that age was an important factor affecting the nasal microbiota. Moreover, the current study will provide a theoretical basis for the further study on the microbial community structure of yaks.

Dynamic distribution of gut microbiota in meat rabbits at different growth stages and relationship with average daily gain (ADG).

BACKGROUND: The mammalian intestinal tract harbors diverse and dynamic microbial communities that play pivotal roles in host health, metabolism, immunity, and development. Average daily gain (ADG) is an important growth trait in meat rabbit industry. The effects of gut microbiota on ADG in meat rabbits are still unknown. RESULTS: In this study, we investigated the dynamic distribution of gut microbiota in commercial Ira rabbits from weaning to finishing and uncover the relationship between the microbiota and average daily gain (ADG) via 16S rRNA gene sequencing. The results indicated that the richness and diversity of gut microbiota significantly increased with age. Gut microbial structure was less variable among finishing rabbits than among weaning rabbits. The relative abundances of the dominant phyla Firmicutes, Bacteroidetes, Verrucomicrobia and Cyanobacteria, and the 15 predominant genera significantly varied with age. Metagenomic prediction analysis showed that both KOs and KEGG pathways related to the metabolism of monosaccharides and vitamins were enriched in the weaning rabbits, while those related to the metabolism of amino acids and polysaccharides were more abundant in the finishing rabbits. We identified 34 OTUs, 125 KOs, and 25 KEGG pathways that were significantly associated with ADG. OTUs annotation suggested that butyrate producing bacteria belong to the family Ruminococcaceae and Bacteroidales_S24-7_group were positively associated with ADG. Conversely, Eubacterium_coprostanoligenes_group, Christensenellaceae_R-7_group, and opportunistic pathogens were negatively associated with ADG. Both KOs and KEGG pathways correlated with the metabolism of vitamins, basic amino acids, and short chain fatty acids (SCFAs) showed positive correlations with ADG, while those correlated with aromatic amino acids metabolism and immune response exhibited negative correlations with ADG. In addition, our results suggested that 10.42% of the variation in weaning weight could be explained by the gut microbiome. CONCLUSIONS: Our findings give a glimpse into the dynamic shifts in gut microbiota of meat rabbits and provide a theoretical basis for gut microbiota modulation to improve ADG in the meat rabbit industry.

Temporal and spatial pattern of endophytic fungi diversity of Camellia sinensis (cv. Shu Cha Zao).

BACKGROUND: The experimental materials were a 60-year-old tea tree (Camellia sinensis cv. Shu Cha Zao; SCZ) (the mother plant) and 1-year-old and 20-year-old plants of SCZ that originated as mother plant cuttings. The aim of this study was to use high-throughput sequencing to study the spatial and dynamic distribution of endophytic fungi in different leaf niches (upper leaves, middle leaves, lower leaves) and rhizosphere soil on tea plants of different ages in the same garden. RESULTS: Ascomycota (83.77%), Basidiomycota (11.71%), and Zygomycota (3.45%) were the dominant fungal phyla in all samples. Cladosporium (12.73%), Zymoseptoria (9.18%), and Strelitziana (13.11%) were the dominant genera in the leaf. Alpha diversity analysis revealed that endophytic communities in leaves differed from those in rhizosphere soil and different leaf niches had similar fungal diversity. Shannon's indices and NMDS analysis indicated significant differences in fungal diversity and composition among the SCZ trees of different ages (p ≤ 0.01). The abundance of Cladosporium and Zymoseptoria decreased with increasing SCZ age, whereas the abundance of Strelitziana increased. CONCLUSIONS: The results illustrate variation in endophytic fungi among different niches on tea plants of different ages. The distribution of endophytic fungi in leaves of C. sinensis shows spatiotemporal variation.

The dynamic distribution of duck Tembusu virus in the spleen of infected shelducks.

BACKGROUND: Duck Tembusu virus (DTMUV) is a novel member of Flavivirus. The isolated and purified DTMUV strain XZ-2012 was used as a strain model, to intramuscularly inject the six-month egg-laying shelducks with the infective dose of 104TCID50. The dynamic distribution of the virus in spleen at different time post-infection (pi) was studied using RT-PCR, RT-qPCR, ELISA, immunofluorescence and transmission electron microscopy (TEM). RESULT: The results showed that the virus occurred in the spleen after 2 hpi and lasted up to 18 dpi. The registered viral load increased from 2 hpi to 3 dpi, and then it diminished from 6 dpi to 18 dpi with a slight rise at 12 dpi. From 2 hpi to 6 dpi the DTMUV particles were mostly distributed in the periellipsoidal lymphatic sheath (PELS) of spleen white pulp, few being found in the sheathed capillary. From 9 dpi to 18 dpi, the DTMUV particles were migrating into periarterial lymphatic sheaths (PALS) around the central artery through the red pulp. Under TEM, the virus particles could be observed mostly in lymphocytes and macrophages. CONCLUSION: It was suggested that DTMUV invaded lymphocytes and macrophages of the spleen at 2 hpi and replicated significantly from 1 dpi to 3 dpi, being eliminated from 9 dpi to 18 dpi. This is the first study on the dynamic distribution of DTMUV from invasion to elimination in duck spleen conducted by molecular and morphological methods. It could provide theoretical basis for the occurrence, development and detoxification of the virus in the organs of the immune system.

Analysis of full nitrification performance and optimization of reaction properties using N and O isotope fractionation.

Isotopic fractionation properties have been successfully applied to identify the distribution and fate of nitrogen in ecosystems, revealing the dynamic response of N and O elements during nitrogen transport and transformation. However, only a few studies used the dual isotope technology in activated sludge treatment of domestic wastewater and many aspects of the process are unclear. Here, we use the dual isotope techniques to increase the understanding of the substrates required for nitrification reactions, nitrification performance, and process operation. Mixed sludge was successfully enriched with nitrifying bacteria in a continuous culture, and three dissolved oxygen (DO; 0.2-0.4, 3-4, and 7-8 mg/L) and three temperature levels (18 ± 1, 25 ± 1, and 33±1 °C) were tested for efficiency of nitrate nitrogen accumulation. Both δ15NNO3 and δ18ONO3 showed a gradual increase with an increase in DO or temperature, the increase in DO slowed down the fractionation effect of isotopes, and the increase in temperature reduced the variability in N and O utilization. The slope of δ15NNO3:δ18ONO3 gradually approached 1 with the increase in DO (<7 mg/L) or in temperature, and the optimal range of DO and temperature were accurately judged to strengthen the denitrification performance of nitrifying bacteria. δ18OH2O was successfully taken up to form NO2--N and NO3--N with 74 and 91% replacement rates, respectively, indicating that DO and H2O jointly completed the formation of nitrate nitrogen during the long nitrification process. In summary, the in situ dual isotope technology can help optimize the influence of environmental factors on nitrification performance to guide the long-term stable operation of nitrification reactions in sludge treatment and provide a reliable basis for complex activated sludge nitrification systems.

Remediation of neonicotinoid-contaminated soils using peanut shell biochar and composted chicken manure: Transformation mechanisms of geochemical fractions.

Soil remediation techniques are promising approaches to relieve the adverse environmental impacts in soils caused by neonicotinoids application. This study systematically investigated the remediation mechanisms for peanut shell biochar (PSB) and composted chicken manure (CCM) on neonicotinoid-contaminated soils from the perspective of transformation of geochemical fractions by combining a 3-step sequential extraction procedure and non-steady state model. The neonicotinoid geochemical fractions were divided into labile, moderate-adsorbed, stable-adsorbed, bound, and degradable fractions. The PSB and CCM addition stimulated the neonicotinoid transformation in soils from labile fraction to moderate-adsorbed and stable-adsorbed fractions. Compared with unamended soils, the labile fractions decreased from 47.6% ± 11.8% of the initial concentrations to 12.1 ± 9.3% in PSB-amended soils, and 7.1 ± 4.9% in PSB and CCM-amended soils, while the proportions of moderate-adsorbed and stable-adsorbed fractions correspondingly increased by 1.8-2.4 times and 2.3-4.8 times, respectively. A small proportion (<4.8%) in bound fractions suggested there were rather limited bound-residues after 48 days incubation. The PSB stimulated the -NO2-containing neonicotinoid-degraders, which promoted the degradable fractions of corresponding neonicotinoids by 8.2 ± 6.3%. Degradable fraction of neonicotinoids was the dominant fate in soils, which accounted for 58.3 ± 16.7%. The findings made beneficial theoretical supplements and provided valuable empirical evidence for the remediation of neonicotinoid-contaminated soils.

Spatiotemporal distribution and dynamics evolution of artificial intelligence development in China.

The quantified measurement and comprehensive analysis of artificial intelligence development (AIDEV) are vital for countries to form AI industrial ecology and promote the long-term development of regional AI technology. Based on the innovation ecosystems (IE) theory, this paper constructs an evaluation system to measure and analyze the spatiotemporal distribution and dynamic evolution of the AIDEV in China from 2011 to 2020. The results show that the AIDEV of China presents an overall upward trend and an obvious unbalance in the spatial distribution which is "eastern > central > western". Meanwhile, the provinces of low-level AIDEV are catching up with the high-level provinces, which leads to the regional difference of AIDEV narrowing. Moreover, the concentration and polarization phenomenon of AIDEV in China has been weakening and the AIDEV will continue to increase in the next three years. Further, there is a significantly positive spatial autocorrelation of AIDEV. Finally, high AIDEV provinces will increase the probability of surrounding provinces' AIDEV to develop. This paper expands the research stream in the field of AI research, extends the application scenarios of IE theory, and puts forward some relevant policy recommendations.

Spatiotemporal differences, dynamic evolution and trend of cultivated land use efficiency: Based on three food functional areas.

China's agricultural development has entered a period of transition, and improving the cultivated land use efficiency (CLUE) is of great significance for guaranteeing national food security. Based on the province panel data in China from 2000 to 2021, this research calculates the cultivated land use efficiency, and uses the Dagum-Gini coefficient, Kernel density estimation, and Markov chain to conduct an in-depth analysis of CLUE's regional variations and distribution dynamics in three food functional areas (TFA) of China. The study results showed that the trend of CLUE was characterized by "increasing levels and decreasing absolute differences," not only in the whole country but also in the TFA. The inter-regional variation among TFA is gradually narrowing, and the cross-group degree of inter-regional variation is on the rise. The upward probability of CLUE was more effective than the probability of a transitionary change, and the mutual influence of CLUE between neighboring cities would lead to spatial convergence in the level of CLUE in the long term. Therefore, improving CLUE in China's TFA should not only grasp the regional differences in CLUE but also actively utilize the spatial spillover effects among functional regions to realize the cross-regional synergistic development of cropland utilization efficiency in China.

Distribution of oil mist particles and air quality improvement in the working area of the cutting workshop.

The oil mist particles cyclically emitted during the cutting process are a serious health hazard for workers in machine plants. Affected by emission parameters and seasonal factors, the dynamic distribution of oil mist particles in the workers' breathing zone is not yet clear, and suitable ventilation optimization is yet to be proposed. This paper investigates the dynamic distribution of oil mist particles in the workers' breathing zone and ventilation optimization by numerical simulation. It was found that the accumulated value, peak value, and duration of peak of the oil mist particle concentration in the breathing zone are 1.5 ∼ 5 x, 3 ∼ 7 x, and 2 ∼ 3 x higher than other conditions, respectively, influenced by the emission parameters of the cutting process. Due to the interference of air conditioning airflow, the concentration is high in winter with obvious periodic fluctuations (7 x), while it is relatively low and stable (2 x) in summer. Parallel flow air curtains can decrease the concentration of oil mist particles in the breathing zone by 42.1 % ∼ 67.9 %, with a 13 % ∼ 50 % increase in energy consumption. This paper provides guidance for clarifying the dynamic distribution of pollutants at workers' post in industrial buildings, as well as the protection of workers' breathing environment.

Dynamic distribution of gut microbiota during Alzheimer's disease progression in a mice model.

Alzheimer's disease (AD) is an irreversible neurodegenerative disease that affects more than 44 million people worldwide. The pathogenic mechanisms of AD still remain unclear. Currently, there are numerous studies investigating the microbiota-gut-brain axis in humans and rodents indicated that gut microbiota played a role in neurodegenerative diseases, including AD. However, the underlying relationship between the progress of AD disease and the dynamic distribution of gut microbiota is not well understood. In the present study, APPswe /PS1ΔE9 transgenic mice of different ages and sex were employed. After the evaluation of the AD mice model, gut metagenomic sequencing was conducted to reveal gut microbiota, moreover, probiotics intervention was treated in the AD mice. The results showed that (1) AD mice had reduced microbiota richness and a changed gut microbiota composition, and AD mice gut microbiota richness was correlated with cognitive performance. We have also found some potential AD-related microbes, for example, in AD-prone mice, the genus Mucispirillum was strongly associated with immune inflammation. (2) Probiotics intervention improved cognitive performance and changed gut microbiota richness and composition of AD mice. We revealed the dynamics distribution of gut microbiota and the effect of probiotics on AD in a mice model, which provides an important reference for the pathogenesis of AD, intestinal microbial markers associated with AD, and AD probiotic intervention.

The chemical profiling of Salvia plebeia during different growth periods and the biosynthesis of its main flavonoids ingredients.

Salvia plebeia (Lamiaceae) is a valuable medicinal plant widely distributed across Asia and Oceania. However, the composition and accumulation patterns of its active ingredients in different organs during the growth and their biosynthetic mechanism remain unknown. Therefore, we conducted metabolite profiling, transcriptomic analysis, and biological functional verification to explore the distribution, accumulation, and biosynthesis mechanisms of flavonoids in S. plebeia. We identified 70 metabolites including 46 flavonoids, 16 phenolic acids, seven terpenoids, and one organic acid, of which 21 were previously unreported in S. plebeia. Combining metabolomic-transcriptomic analysis and biological functional verification, we identified the key genes involved in biosynthesis of its main active ingredients, hispidulin and homoplantaginin, including SpPAL, SpC4H, Sp4CL2, Sp4CL5, SpCHS1, SpCHI, SpFNS, SpF6H1, SpF6OMT1, SpF6OMT2, SpUGT1, SpUGT2, and SpUGT3. Using the identified genes, we reconstructed the hispidulin and homoplantaginin biosynthesis pathways in Escherichia coli, and obtained a yield of 5.33 and 3.86 mg/L for hispidulin and homoplantaginin, respectively. Our findings provide valuable insights into the changes in chemical components in different organs of S. plebeia during different growth and harvest stages and establishes a foundation for identifying and synthesizing its active components.

Dynamic Distribution of Gut Microbiota in Pigs at Different Growth Stages: Composition and Contribution.

Fully understanding the dynamic distribution of the gut microbiota in pigs is essential, as gut microorganisms play a fundamental role in physiological processes, immunity, and the metabolism of nutrients by the host. Here, we first summarize the characteristics and the dynamic shifts in the gut microbial community of pigs at different ages based on the results of 63 peer-review publications. Then a meta-analysis based on the sequences from 16 studies with accession numbers in the GenBank database is conducted to verify the characteristics of the gut microbiota in healthy pigs. A dynamic shift is confirmed in the gut microbiota of pigs at different ages and growth phases. In general, Bacteroides, Escherichia, Clostridium, Lactobacillus, Fusobacterium, and Prevotella are dominant in piglets before weaning, then Prevotella and Aneriacter shift to be the predominant genera with Fusobacterium, Lactobacillus, and Miscellaneous as comparative minors in postweaned pigs. A number of 19 bacterial genera, including Bacteroides, Prevotella, and Lactobacillus can be found in more than 90% of pigs and three enterotypes can be identified in all pigs at different ages, suggesting there is a "core" microbiota in the gut of healthy pigs, which can be a potential target for nutrition or health regulation. The "core" members benefit the growth and gut health of the host. These findings help to define an "optimal" gut microbial profile for assessing, or improving, the performance and health status of pigs at different growth stages. IMPORTANCE The ban on feed antibiotics by more and more countries, and the expected ban on ZnO in feed supplementation from 2022 in the EU, urge researchers and pig producers to search for new alternatives. One possible alternative is to use the so-called "next-generation probiotics (NGPs)" derived from gastrointestinal tract. In this paper, we reveal that a total of 19 "core" bacterial genera including Bacteroides, Prevotella, and Lactobacillus etc., can be found in more than 90% of healthy pigs across different ages. These identified genera may probably be the potential candidates of NGPs or the potential target of microflora regulation. Adding substrates preferred by these target microbes will help to increase the abundance of specific symbiotic species and benefit the gut health of pigs. Further research targeting these "core" microbes and the dynamic distribution of microbiota, as well as the related function is of great importance in swine production.

Estimation of Avian Influenza Viruses in Water Environments of Live Poultry Markets in Changsha, China, 2014 to 2018.

In routine surveillance for avian influenza viruses (AIVs) in the environments of live poultry markets (LPMs), certain samples were positive for AIVs type A while negative for subtypes (e.g., H5, H7, and H9). However, little attention has been paid to these unsubtyped AIVs samples. To reveal the dynamic distribution and molecular characteristics of AIVs, especially the unsubtyped AIVs, we reported and analyzed 1969 samples collected from the water environments of LPMs in Changsha, China, from January 2014 to November 2018. Our results revealed that 1504 (76.38%) samples were positive for AIV type A. Of these samples, the predominant hemagglutinin (HA) subtype was H9, followed by H5 and H7 (P < 0.05). The positive rate of H5 subtype in water environmental samples exhibited seasonality, which reached a peak in each winter-spring season from January 2014 to March 2017. The positive rates of AIVs (including type A, subtype H9, and mixed subtype H5/H7/H9) in non-central-city regions were higher than that in the central-city regions (P < 0.05). Notably, 161 unsubtyped AIVs samples were detected during the routine surveillance. However, subtyping with the commercial kit further identified eight different HA and seven different neuraminidase subtypes. Analyses unraveled that further subtyped AIVs H1, H6, and H11 had only one basic amino acid (R or K) at the cleavage site and residues Q226 and G228 at the receptor-binding associated sites. Overall, in addition to H5, H7, and H9 subtypes, we should also pay attention to unsubtyped AIVs samples during the routine surveillance for AIVs in the environments of LPMs.

Differential Intracellular Protein Distribution in Cancer and Normal Cells-Beta-Catenin and CapG in Gynecologic Malignancies.

It is well-established that cancer and normal cells can be differentiated based on the altered sequence and expression of specific proteins. There are only a few examples, however, showing that cancer and normal cells can be differentiated based on the altered distribution of proteins within intracellular compartments. Here, we review available data on shifts in the intracellular distribution of two proteins, the membrane associated beta-catenin and the actin-binding protein CapG. Both proteins show altered distributions in cancer cells compared to normal cells. These changes are noted (i) in steady state and thus can be visualized by immunohistochemistry-beta-catenin shifts from the plasma membrane to the cell nucleus in cancer cells; and (ii) in the dynamic distribution that can only be revealed using the tools of quantitative live cell microscopy-CapG shuttles faster into the cell nucleus of cancer cells. Both proteins may play a role as prognosticators in gynecologic malignancies: beta-catenin in endometrial cancer and CapG in breast and ovarian cancer. Thus, both proteins may serve as examples of altered intracellular protein distribution in cancer and normal cells.