Solving post-prandial reduction in performance by adaptive regurgitation in a freshwater fish

Foraging animals must balance benefits of food acquisition with costs induced by a post-prandial reduction in performance. Eating to satiation can lead to a reduction in locomotor and escape performance, which increases risk should a threat subsequently arises, but limiting feeding behaviour may be maladaptive if food intake is unnecessarily reduced in the prediction of threats that do not arise. The efficacy of the trade-off between continued and interrupted feeding therefore relies on information about the future risk, which is imperfect. Here, we find that black carp (Mylopharyngodon piceus) can balance this trade-off using an a posteriori strategy; by eating to satiation but regurgitating already ingested food when a threat arises. While degrees of satiation (DS) equal to or greater than 60% reduce elements of escape performance (turning angle, angular velocity, distance moved, linear velocity), at 40% DS or lower, performance in these tasks approaches levels comparable to that at 0% satiation. After experiencing a chasing event, we find that fish are able to regurgitate already ingested food, thereby changing the amount of food in their gastrointestinal tract to consistent levels that maintain high escape performance. Remarkably, regurgitation results in degrees of satiation between 40 and 60% DS, regardless of whether they had previously fed to 40, 60 or 100% DS. Using this response, fish are able to maximize food intake, but regurgitate extra food to maintain escape performance when they encounter a threat. This novel strategy may be effective for continual grazers and species with imperfect information about the level of threat in their environment.     

Overexpression of the chitinase gene CmCH1 from Coniothyrium minitans renders enhanced resistance to Sclerotinia sclerotiorum in soybean

Transgenic Research - Pathogenic fungi represent one of the major biotic stresses for soybean production across the world. Sclerotinia sclerotiorum, the causal agent of Sclerotinia stem rot, is a...     

圈养林麝麝香分泌时间节律及影响因素

在2016年和2017年的5—8月,我们对川西马尔康麝场圈养林麝（Moschus berezovskii）的麝香分泌进行了行为与生理监测,对麝香分泌的各阶段进行了准确判定,记录了泌香启动、泌香盛期开始、泌香盛期终止及泌香结束的时间阶段及持续时间长,分析了林麝麝香分泌的时间阶段与体重和年龄等因素的关系。结果表明,马尔康麝场的雄性林麝平均泌香启动日在6月16日[（167.06±7.75）d,n=141],于6月17日进入泌香盛期[（168.52±7.67）d,n=141],6月21日[（172.17±7.26）d, n=138]泌香活动减弱,至6月25日[（176.27±8.11）d, n=131]泌香结束;雄麝体重与其泌香启动、泌香盛期停止及泌香结束时间呈显著负相关（r_PS = -0.234,P_PS =0.028;r _VSF = -0.215,P_VSF = 0.047;r _SE = -0.229,P_SE = 0.043）,即雄麝的体重越大,其泌香越早;各年龄组间的平均泌香时长差异显著（F _{17, 113} = 3.482, P = 0.003）,其中2岁雄麝平均泌香时长最长[（13.07±2.08）d, n=20],显著高于3岁[（9.38±0.76）d, n=12, P = 0.042]和4岁[（7.80±1.60）d, n=5, P = 0.013]个体;马尔康林麝平均泌香量为（11.85g±0.96）g, （n=114）,随泌香时长延长有增加趋势,但不显著（P = 0.854）。基于上述林麝雄体的泌香时间、泌香量与年龄和体重等因素间的关联,可对圈养的林麝个体间的泌香力、泌香量等进行区分和预判,作为圈养林麝驯养生产力优化的依据,并可为圈养林麝优质品系的选育提供参考。     

地涌金莲MlCCD8b基因的克隆与表达分析

该研究以地涌金莲(黄色苞片型YN01和红色苞片型RD05)为材料,采用RACE技术克隆获得地涌金莲CCD8b基因的cDNA全长,进行氨基酸序列比对及系统进化树构建,并采用实时荧光定量PCR技术检测MlCCD8b基因在不同地涌金莲类型和不同组织中的表达模式。结果表明：(1)序列分析显示,MlCCD8b的ORF全长1 671 bp,编码556个氨基酸,存在1个类胡萝卜素加氧酶家族的典型保守结构域RPE65,推测其相对分子量为61 574.26 Da,等电点6.61,亚细胞定位于叶绿体基质中的类囊体上,所编码的MlCCD8b蛋白为亲水性蛋白。(2)同源对比分析及构建系统进化树发现,地涌金莲MlCCD8b蛋白与小果野蕉亚种、凤梨等单子叶植物的CCD8b蛋白遗传关系最近。(3)荧光定量PCR检测结果表明,MlCCD8b在吸芽数量多的黄色苞片型YN01的所有组织中均有表达,而在吸芽数量少的红色苞片型RD05中,其苞片内未能检测到MlCCD8b的表达,但其他组织中皆有表达;MlCCD8b在2种类型地涌金莲中呈现一致的组织表达特异性,即在花序轴中的表达量最高,其次是吸芽芽点、根尖和叶片,在苞片中的表达量最低或不表达。(4)2种类型地涌金莲同一组织部位比较结果显示,RD05的花序轴、吸芽芽点、根尖和叶片中的MlCCD8b相对表达量分别是YN01的4.47、4.67、2.09和1.10倍。(5)利用高效液相色谱 串联质谱法测得RD05根尖部位的5 脱氧独脚金醇含量是YN01的15.57倍,与MlCCD8b在根尖的表达趋势一致。研究认为,MlCCD8b基因可能通过调控独角金内酯的合成,促进或抑制地涌金莲吸芽的萌生。该研究结果可为MlCCD8b基因的生物学功能研究提供依据,并为今后通过分子辅助育种调控MlCCD8b的表达,从而控制地涌金莲吸芽数量提供理论支持。     

糖尿病患者肠道菌群特征及其相关性的系统评价

目的对糖尿病患者肠道菌群特征及其相关性进行系统评价。方法检索知网、维普、万方、PubMed、Cochrane library、Embase等数据库关于糖尿病患者肠道菌群特征及其相关性的文献,同时追踪纳入文献的参考文献,时限为2009年3月至2019年3月,采用统一提取表,由两名研究者独立按照规定的纳入排除标准进行文献提取和方法学质量评估。最后采用RevMan 5.3软件进行Meta合并,Stata 12.0软件进行亚组分析与发表性偏倚识别。结果共纳入25篇研究,合计2 209例患者。Meta分析显示:(1)糖尿病患者菌群总量(SMD=-0.30,P=0.53)、乳杆菌数量(SMD=-0.79,P=0.20)下降,拟杆菌数量(SMD=1.43,P=0.12)、梭菌数量(SMD=0.28,P=0.40)增加,差异均无统计学意义,双歧杆菌数量(SMD=-1.82,P=0.02)下降,差异有统计学意义。(2)糖尿病患者菌群Shannon指数I~2=91%,r=-0.21[-0.32,0.09],P0.05;Chao1指数I~2=0%,r=-28.17[-40.85,-15.48],P0.05;均下降。(3)拟杆菌、双歧杆菌、梭菌与空腹血糖的相关性分别为:I~2=0%,r=-0.15[-0.27,-0.03];I~2=0%,r=-1.16[-1.42,0.91];I~2=0%,r=-0.28[-0.42,-0.14],均P0.05。而乳杆菌的相关性差异无统计学意义:I~2=47%,r=-0.00[-0.30,0.29],P=0.98。(4)乳杆菌和拟杆菌与炎症因子(TNF-α、IL-6)呈负相关,乳杆菌(r=-0.43;r=-0.60),P0.05;拟杆菌(r=-0.58;r=-0.58),P0.05,差异有统计学意义。结论糖尿病患者肠道菌群总量无明显变化,但有益菌含量和多样性下降,拟杆菌、双歧杆菌和梭菌含量与血糖水平呈负相关,而乳杆菌无相关,其结果还需要大样本、高质量的研究加以论证。     

水相中氢气浓度检测方法的建立

近年来,研究表明氢分子具有广泛的生物学效应,饮用富氢水（hydrogen-rich water,HRW）是其主要的摄取方法,但目前对于水相中氢气浓度检测方法的研究甚少。为了建立适用于测定水相中氢气浓度的检测方法,利用纯水氢气发生器制备饱和富氢水。然后,利用氢气微电极直接测定水相中的氢气浓度,结果表明,在不同氢气浓度范围内（0～1.620 0 mg·L-1和0～0.202 5 mg·L-1）,氢气浓度与微电极信号值均呈现良好的线性关系,方法检出限（method detection limit,MDL）为4.3×10-3 mg·L-1。同时,采用顶空方式将水相中的氢气转移到气相中,通过气相色谱法测定氢气的浓度,结果表明,在不同氢气浓度范围内（0～1.620 0 mg·L-1和0～0.202 5 mg·L-1）,氢气浓度与气相色谱峰面积均具有良好的线性关系,MDL为8.7×10-4 mg·L-1。研究结果表明,氢微电极法和气相色谱法均可用于水相中氢气浓度的精确定量,即成功建立了采用氢气微电极及顶空气相色谱测定水相中氢气含量的检测方法。     

Scale‐dependent effects of neighborhood biodiversity on individual tree productivity in a coniferous and broad‐leaved mixed forest in China

The relationship between biodiversity and productivity has stimulated an increasing body of research over the past decades, and this topic still occupies a central place in ecology. While most studies have focused on biomass production in quadrats or plots, few have investigated the scale‐dependent relationship from an individual plant perspective. We present an analysis of the effects of biodiversity (species diversity and functional diversity) on individual tree growth with a data set of 16,060 growth records from a 30‐ha temperate forest plot using spatially explicit individual tree‐based methods. A significant relationship between species diversity and tree growth was found at the individual tree level in our study. The magnitude and direction of biodiversity effects varies with the spatial scale. We found positive effects of species diversity on tree growth at scales exceeding 9 m. Individual tree growth rates increased when there was a greater diversity of species in the neighborhood of the focal tree, which provides evidence of a niche complementarity effect. At small scales (3–5 m), species diversity had negative effects on tree growth, suggesting that competition is more prevalent than complementarity or facilitation in these close neighborhoods. The results also revealed many confounding factors which influence tree growth, such as elevation and available sun light. We conclude that the use of individual tree‐based methods may lead to a better understanding of the biodiversity‐productivity relationship in forest communities.     

Genetic diversity and population structure of Quercus fabri Hance in China revealed by genotyping‐by‐sequencing

Analysis of genetic diversity and population structure among Quercus fabri populations is essential for the conservation and utilization of Q. fabri resources. Here, the genetic diversity and structure of 158 individuals from 13 natural populations of Quercus fabri in China were analyzed using genotyping‐by‐sequencing (GBS). A total of 459,564 high‐quality single nucleotide polymorphisms (SNPs) were obtained after filtration for subsequent analysis. Genetic structure analysis revealed that these individuals can be clustered into two groups and the structure can be explained mainly by the geographic barrier, showed gene introgression from coastal to inland areas and high mountains could significantly hinder the mutual introgression of genes. Genetic diversity analysis indicated that the individual differences within groups are greater than the differences between the two groups. These results will help us better understand the genetic backgrounds of Q. fabri.     

Shifts in potential geographical distribution of Pterocarya stenoptera under climate change scenarios in China

Climate change poses a serious threat to biodiversity. Predicting the effects of climate change on the distribution of a species' habitat can help humans address the potential threats which may change the scope and distribution of species. Pterocarya stenoptera is a common fast‐growing tree species often used in the ecological restoration of riverbanks and alpine forests in central and eastern China. Until now, the characteristics of the distribution of this species' habitat are poorly known as are the environmental factors that influence its preferred habitat. In the present study, the Maximum Entropy Modeling (Maxent) algorithm and the Genetic Algorithm for Ruleset Production (GARP) were used to establish the models for the potential distribution of this species by selecting 236 sites with known occurrences and 14 environmental variables. The results indicate that both models have good predictive power. Minimum temperature of coldest month (Bio6), mean temperature of warmest quarter (Bio10), annual precipitation (Bio12), and precipitation of driest month (Bio14) were important environmental variables influencing the prediction of the Maxent model. According to the models, the temperate and subtropical regions of eastern China had high environmental suitability for this species, where the species had been recorded. Under each climate change scenario, climatic suitability of the existing range of this species increased, and its climatic niche expanded geographically to the north and higher elevation. GARP predicted a more conservative expansion. The projected spatial and temporal patterns of P. stenoptera can provide reference for the development of forest management and protection strategies.