Temporal and Spatial Activity Patterns of Sympatric Wild Ungulates in Qinling Mountains, China.

Dramatic increases in populations of wild ungulates have brought a new ecological issue in the Qinling mountains. Information on species' niche differentiation will contribute to a greater understanding of the mechanisms of coexistence, so as to ultimately benefit the conservation and management of ecological communities. In this study, camera trapping was used to investigate spatial and temporal activity patterns of sympatric wild ungulates in the Qinling Mountains of China, where top predators were virtually absent. We obtained 15,584 independent detections of seven wild ungulate species during 93,606 camera-trap days from April 2014 to October 2017. Results showed that (i) the capture rate differed significantly across species, with the capture rate of reeve muntjac being significantly higher than that of other species; (ii) the wild boar had a higher occupancy rates (ψ = 0.888) than other six ungulates, and distance to settlements had a negative relationship with wild boar (ß = -0.24 ± 0.17); (iii) the forest musk deer and mainland serow had low spatial overlaps with other five wild ungulates, while spatial overlap indices of any two given pairs of wild ungulates were relatively high; (iv) all wild ungulates species (expect wild boar) were mainly active during crepuscular and diurnal periods, and showed bimodal activity peaks at around 05:00-07:00 and 17:00-19:00; and finally, (v) all wild ungulates showed moderate to high temporal overlaps. The results provided detailed information of the spatial and temporal ecology of wild ungulate communities in forest ecosystems of China, which also would be a guide to establish conservation priorities as well as efficient management programs.

Regulating the Imbalance of Gut Microbiota by Smilax china L. Polyphenols to Alleviate Dextran Sulfate Sodium-induced Inflammatory Bowel Diseases.

Smilax china L. is used not only as a kind of traditional Chinese herbal medicinal ingredients with various pharmacological properties, but also as food in certain parts of China. However, it is by far still unclear whether Smilax china L. polyphenols (SCP), as important bioactive constituents in Smilax china L., have effects on inflammatory bowel diseases (IBD). This study investigated the impact of SCP on the dextran sulfate sodium (DSS)-induced IBD and gut microbiota in mice. SCP treatments ameliorated typical symptoms of IBD as what was reflected through suppressing body weight loss, colonic shortening, intestinal barrier damage, and increasing intestinal disease activity index. SCP treatments simultaneously decreased the release of proinflammatory cytokines and oxidative stress, as well as promoted the release of anti-inflammatory factors. Furthermore, SCP ameliorated the ecological imbalance of gut microbiota and regulated the key bacteria associated with IBD (including Akkermansiaceae, Ruminococcaceae, Acidaminococcaceae, Muribaculaceae, and Anaeroplasmataceae). In general, SCP may improve DSS-induced IBD in mice by regulating inflammatory factors, inhibiting oxidative stress, reducing intestinal tissue damage, and regulating the ecological imbalance of intestinal microbiota. Thus, SCP might serve as a potential therapeutic agent against the inflammation-driven diseases.

FMixFN: A Fast Big Data-Oriented Genomic Selection Model Based on an Iterative Conditional Expectation algorithm.

Genomic selection is an approach to select elite breeding stock based on the use of dense genetic markers and that has led to the development of various models to derive a predictive equation. However, the current genomic selection software faces several issues such as low prediction accuracy, low computational efficiency, or an inability to handle large-scale sample data. We report the development of a genomic prediction model named FMixFN with four zero-mean normal distributions as the prior distributions to optimize the predictive ability and computing efficiency. The variance of the prior distributions in our model is precisely determined based on an F2 population, and genomic estimated breeding values (GEBV) can be obtained accurately and quickly in combination with an iterative conditional expectation algorithm. We demonstrated that FMixFN improves computational efficiency and predictive ability compared to other methods, such as GBLUP, SSgblup, MIX, BayesR, BayesA, and BayesB. Most importantly, FMixFN may handle large-scale sample data, and thus should be able to meet the needs of large breeding companies or combined breeding schedules. Our study developed a Bayes genomic selection model called FMixFN, which combines stable predictive ability and high computational efficiency, and is a big data-oriented genomic selection model that has potential in the future. The FMixFN method can be freely accessed at https://zenodo.org/record/5560913 (DOI: 10.5281/zenodo.5560913).

Chlorogenic acid and caffeine combination attenuates adipogenesis by regulating fat metabolism and inhibiting adipocyte differentiation in 3T3-L1 cells.

Obesity is a complex disease spreading in the world. In our previous studies, chlorogenic acid (CGA) and caffeine had ever been reported to reduce the body weight gain and fat accumulation in mice. This study investigated the anti-obesity effect of CGA and caffeine on 3T3-L1 cells. According to triglyceride (TG) assay and Oil-Red O staining, 40 µg/ml CGA and 160 µg/ml caffeine reduced TG content. Moreover, CGA + caffeine inhibited the mRNA expression of major adipogenic markers, PPAR-γ2, and C/EBPα in the metaphase and anaphase stages of differentiation induction (Day 2 and 4). CGA + caffeine improved P-AMPK/AMPK accompanied by decreasing the expression of GPDH and FAS to depress the lipid synthesis, increasing the mRNA expression of ACO and CAT to promote fatty acid oxidation and up-regulated the expression of hydrolysis-related enzyme adipose TG lipase (ATGL) and P-HSL/HSL. Furthermore, CGA + caffeine improved the expression of Glut4 which promoted the glucose transport. Taken together, these data demonstrated CGA + caffeine inhibited 3T3-L1 cells differentiation in the middle and late stages and reduced the fat accumulation through AMPK pathway by regulating the fat metabolism-related enzyme in 3T3-L1 cells to attenuates adipogenesis. PRACTICAL APPLICATIONS: The aim of this study was to elucidate the potential role of chlorogenic acid and caffeine in the treatment of obesity.

Changes in physicochemical properties, gel structure and in vitro digestion of marinated egg white gel during braising.

In this paper, changes in physicochemical properties, gel structure and in vitro digestion of marinated egg with spice or tea during braising were investigated. Results indicated that the moisture content and surface hydrophobicity of marinated egg white showed an overall decreased trend. The springiness of marinated egg white showed an increased trend, and the hardness in the late stage showed an increased trend. Microstructure showed that compact gel structures formed many holes during the braising. Intermolecular forces showed that ionic bonds and disulfide bonds played a dominant role in the marinated egg white. Secondary structure showed that the ß-turn showed a decreased trend, contrary to that of random coils and α-helices. Appropriate braising increased the digestibility of marinated egg white, but excessively long-time braising could reduce it. Both spice and tea braising could improve the gel strength of protein, and the tea braising was also slightly better than spice braising.

Collaborative effects of chlorogenic acid and caffeine on lipid metabolism via the AMPKα-LXRα/SREBP-1c pathway in high-fat diet-induced obese mice.

To investigate the mechanism of the combined effects of chlorogenic acid (CGA) and caffeine on lipid metabolism in high-fat diet-induced obese mice, eighty female ICR mice were randomly divided into eight groups and fed with a high-fat diet with/without CGA and/or caffeine for 14 weeks. The combination of CGA and caffeine effectively decreased body weight gain, intraperitoneal adipose tissue weight, serum LDL-c, FFA, TC, TG, leptin, IL-6 concentrations, and hepatic TG and TC levels and increased the serum adiponectin level. The CGA and caffeine combination also promoted the phosphorylation of AMPKα, inhibited the expressions of transcriptional regulators (SREBP-1c and LXRα), and decreased the expressions of FAS and HMGR. Besides, the expressions of ACO, ATGL and HSL were increased by the CGA and caffeine combinations. The results indicated that the combination of CGA and caffeine had anti-obesity effects and regulated lipid metabolism in high-fat diet-induced obese mice via the AMPKα-LXRα/SREBP-1c signaling pathway. Thus, chronic CGA and caffeine intakes may be potent for preventing obesity.