An Experimental Test of Adaptive Introgression in Locally Adapted Populations of Splash Pool Copepods

As species struggle to keep pace with the rapidly warming climate, adaptive introgression of beneficial alleles from closely related species or populations provides a possible avenue for rapid adaptation. We investigate the potential for adaptive introgression in the copepod, Tigriopus californicus, by hybridizing two populations with divergent heat tolerance limits. We subjected hybrids to strong heat selection for 15 generations followed by whole-genome resequencing. Utilizing a hybridize evolve and resequence (HER) technique, we can identify loci responding to heat selection via a change in allele frequency. We successfully increased the heat tolerance (measured as LT₅₀) in selected lines, which was coupled with higher frequencies of alleles from the southern (heat tolerant) population. These repeatable changes in allele frequencies occurred on all 12 chromosomes across all independent selected lines, providing evidence that heat tolerance is polygenic. These loci contained genes with lower protein-coding sequence divergence than the genome-wide average, indicating that these loci are highly conserved between the two populations. In addition, these loci were enriched in genes that changed expression patterns between selected and control lines in response to a nonlethal heat shock. Therefore, we hypothesize that the mechanism of heat tolerance divergence is explained by differential gene expression of highly conserved genes. The HER approach offers a unique solution to identifying genetic variants contributing to polygenic traits, especially variants that might be missed through other population genomic approaches.     

Identifying conversion efficiency as a key mechanism underlying food webs adaptive evolution: a step forward,or backward?

Body size or mass is one of the main factors underlying food webs structure. A large number of evolutionary models have shown that indeed, the adaptive evolution of body size (or mass) can give rise to hierarchically organised trophic levels with complex between and within trophic interactions. However, these models generally make strong arbitrary assumptions on how traits evolve, casting doubts on their robustness. In particular, biomass conversion efficiency is always considered independent of the predator and prey size, which contradicts with the literature. In this paper, we propose a general model encompassing most previous models which allows to show that relaxing arbitrary assumptions gives rise to unrealistic food webs. We then show that considering biomass conversion efficiency dependent on species size is certainly key for food webs adaptive evolution because realistic food webs can evolve, making obsolete the need of arbitrary constraints on traits' evolution. We finally conclude that, on the one hand, ecologists should pay attention to how biomass flows into food webs in models. On the other hand, we question more generally the robustness of evolutionary models for the study of food webs.     

超声评分法及肾动脉阻力指数对胎儿肾积水预后的评价价值分析

目的:研究超声评分法及肾动脉阻力指数(RRI)对胎儿肾积水预后的评价价值。方法:将从2016年1月2019年1月经我院超声检查发现的孕晚期肾积水胎儿210例纳入研究,测定其肾实质厚度(RPT)、肾盂前后径(APD)以及肾盂肾盏形态,对上述各项超声检测指标进行评分,累计计算分值。此外,对所有胎儿的积水肾脏肾门部位的RRI值进行测定,并以受试者工作特征(ROC)曲线分析超声评分法与RRI值诊断胎儿肾积水预后类型的价值。结果:所有胎儿出生1年内分别行超声检查以及临床诊断,结果显示210例胎儿,共计420只肾脏,共发生285只肾积水,包括病理性肾积水84只(病理性组),非病理性肾积水201只(非病理性组)。病理性肾积水胎儿超声评分为13分的肾只数占比显著低于非病理性胎儿(P<0.05),而79分的肾只数占比显著高于非病理性胎儿(P<0.05)。病理性肾积水胎儿的平均RRI值为0.74±0.05,显著高于非病理性肾积水胎儿的0.63±0.02,差异有统计学意义(t=26.563,P=0.000)。超声评分法与RRI联合诊断病理性肾积水的曲线下面积(AUC)、敏感度、特异度、准确度均显著高于超声评分法或RRI单独诊断(P<0.05)。结论:超声评分法及RRI诊断对胎儿肾积水预后评价具有较重要的价值,值得临床推广应用。     

脓毒症患儿血清SAA、PCT、CRP水平与预后的关系及其诊断价值分析

摘要 目的：探讨脓毒症患儿血清淀粉样蛋白A（SAA）、降钙素原（PCT）、C反应蛋白（CRP）与预后的关系,并分析三者对脓毒症的诊断价值。方法：纳入我院于2016年8月～2020年6月期间收治的脓毒症患儿60例开展回顾性研究,作为脓毒症组,选取同期于我院进行体检的健康儿童40例作为对照组,比较两组血清SAA、PCT、CRP水平。根据脓毒症患儿1个月内的生存、死亡情况,分成生存组（n=42）、死亡组（n=18）,比较两组临床资料及血清SAA、PCT、CRP水平,经COX回归模型分析脓毒症患儿死亡的危险因素。绘制受试者工作特征（ROC）曲线分析血清SAA、PCT、CRP对脓毒症的诊断价值。结果：脓毒症组血清SAA、PCT、CRP水平显著高于对照组（P＜0.05）。死亡组器官障碍数量＞2个、脓毒性休克患儿占比分别为55.56%、44.44%,显著高于生存组的19.05%、9.52%（P＜0.05）;死亡组入院后1 h内使用抗菌治疗患儿占比为38.89%,显著低于生存组的69.05%（P＜0.05）;死亡组血清SAA、PCT、CRP水平高于生存组（P＜0.05）。COX多因素分析结果显示,器官障碍数量＞2、脓毒性休克及血清SAA、PCT、CRP水平升高是脓毒症患儿死亡的危险因素（P＜0.05）,而入院后1 h内使用抗菌治疗是脓毒症患儿死亡风险的保护性因素（P＜0.05）。血清SAA、PCT、CRP单独及三者联合诊断脓毒症的曲线下面积（AUC）分别为0.808、0.780、0.761、0.912。结论：脓毒症患儿血清SAA、PCT、CRP明显升高,三者升高均为脓毒症患儿死亡的危险因素,且对脓毒症具有一定诊断价值。     

急性肾损伤的危险因素及尿液spd-1、IL-18、Cys-C的预测价值分析

摘要 目的：探讨急性肾损伤的危险因素及尿液可溶性程序性死亡受体1（spd-1）、白细胞介素18（IL-18）及胱抑素C（Cys-C）对急性肾损伤的预测价值。方法：选择2018年10月至2019年10月于我院就诊的急性肾损伤患者120例作为观察组,同时选取肾功能正常患者118例作为对照组,收集两组患者的临床资料,检测尿液spd-1、IL-18、Cys-C的含量,采用Logistic回归分析急性肾损伤的危险因素,并绘制ROC曲线,评估尿液spd-1、IL-18、Cys-C对急性肾损伤的预测价值。结果：观察组血清尿素氮(BUN)明显高于对照组（P<0.05）。观察组尿液spd-1、IL-18、Cys-C明显高于对照组（P<0.05）。Logistic回归分析结果显示,尿液spd-1（OR=1.461,P=0.000）、IL-18（OR=1.742,P=0.003）、Cys-C（OR=1.241,P=0.002）是急性肾损伤的危险因素。尿液spd-1预测急性肾损伤曲线下面积（AUC）为0.660,特异度为0.640,灵敏度为0.646;IL-18预测急性肾损伤的AUC为0.672,特异度为0.669,灵敏度为0.675;Cys-C预测急性肾损伤的AUC为0.643,特异度为0.649,灵敏度为0.673;三者联合检测预测急性肾损伤的AUC为0.792,特异度为0.667,灵敏度为0.917。结论：spd-1、IL-18、Cys-C在急性肾损伤患者尿液中含量明显增加,尿液spd-1、IL-18、Cys-C增加是急性肾损伤的危险因素,且三者联合检测对急性肾损伤的预测价值较高,具有一定的临床意义。     

冠状动脉磁共振血管成像和CT对可疑冠心病患者心脏事件的预测价值的比较研究

摘要 目的：探讨与比较冠状动脉核磁共振(MR)血管成像和CT对可疑冠心病患者心脏事件的预测价值。方法：2018年4月到2020年10月选择在本院诊治的103例可疑冠心病患者作为研究对象,所有患者都给予冠状动脉MRI血管成像与64层螺旋CT冠状动脉成像检查,记录影像学特征。随访患者的预后并进行预测价值分析。结果：103例可疑冠心病患者随访到2021年4月1日,发生心血管不良终点事件23例(不良事件组),发生率为22.3%。不良事件组的MRI血管成像显示右冠状动脉血管长度与内径都低于非不良事件组(P<0.05)。不良事件组的CT显示斑块率、斑块性质等与非不良事件组对比差异有统计学意义(P<0.05),两组斑块位置对比差异无统计学意义(P>0.05)。多因素Cox回归分析显示斑块性质、斑块率、右冠状动脉血管长度与内径都为导致心血管不良终点事件的重要因素(P<0.05)。结论：冠状动脉MRI血管成像和CT都可有效预测可疑冠心病患者心脏事件发生情况,能满足临床诊断可疑冠心病与预测预后的要求。     

不同碳氮源对花脸香蘑胞外酶活性的影响

以花脸香蘑Lepista sordida为材料,研究其分别在9种碳源和11种氮源液体培养条件下不同阶段pH值和葡萄糖浓度的变化,以及不同碳氮源对其所分泌的木质素过氧化物酶、羧甲基纤维素酶、锰过氧化物酶和漆酶活性的影响。结果表明,pH值在不同碳源培养后期变化显著（P<0.05）,而在不同氮源培养阶段无明显变化（P>0.05）,葡萄糖浓度和菌丝量在不同碳氮源中也无显著差异（P<0.05）。不同碳源和氮源培养基对花脸香蘑木质素过氧化物酶、羧甲基纤维素酶、锰过氧化物酶和漆酶活性均具有影响（P<0.05）。木糖和米糠有利于花脸香蘑分泌羧甲基纤维素酶（P<0.05）,红糖和牛肉浸膏有利于其分泌漆酶（P<0.05）,白砂糖和豆粉有利于其分泌锰过氧化物酶（P<0.05）,木糖和尿素有利于其分泌木质素过氧化物酶（P<0.05）。本研究为选择合适培养基以提高花脸香蘑生物转化效率提供了理论基础。     

A comprehensive landscape genomics approach for seed sourcing strategies in landscapes under varying degrees of habitat disturbance

As most ecosystems around the world are threatened by anthropogenic degradation and climate change, there is an increasing urgency to implement restoration strategies aiming at ensuring ecosystem self‐sustainability and resilience. An initial step towards that goal relies on selecting the most suitable seed sources for a successful revegetation, which can be extremely challenging in highly degraded landscapes. The most common seed sourcing strategy is to select local seeds because it is assumed that plants experience strong adaptations to their natal sites. An alternative strategy is the selection of climate‐adapted genotypes to future conditions. While considering future climatic projections is important to account for spatial shifts in climate to inform assisted gene flow and translocations, to restore highly degraded landscapes we need a comprehensive approach that first accounts for species adaptations to current at‐site environmental conditions. In this issue of Molecular Ecology Resources, Carvalho et al. present a novel landscape genomics framework to identify the most appropriate seed sourcing strategy for moderately and highly degraded sites by integrating genotype, phenotype and environmental data in a spatially explicit context for two native plant species with potential to help restore iron‐rich Amazonian savannas. This framework is amenable to be applicable and adapted to a broad range of restoration initiatives, as the dichotomy between focusing on the current or future climatic conditions should depend on the goals and environmental circumstances of each restoration site.     

Testing the effect of restoration‐focused silviculture on oak regeneration and groundlayer plant communities in urban–exurban oak woodlands

Throughout their global range, oak‐dominated ecosystems have undergone state changes in stand structure and composition. Land managers face an especially acute challenge in restoring oak ecosystems and promoting oak regeneration in urban–exurban areas, where high‐intensity silvicultural treatments are often not feasible. To investigate low‐intensity management alternatives which could be widely applied in urban–exurban forests, a large‐scale adaptive management experiment was implemented in Lake County, IL, in 2012. Five canopy manipulation treatments of varying intensity, timing, and spatial aggregation were replicated across three study areas and oak seedlings were under‐planted into treatment units following management. Responses of understory light environment, shrub and groundlayer plant communities, and survival and growth of underplanted oak seedlings were evaluated. Understory light availability, canopy openness, total groundlayer plant cover, and groundlayer species diversity all differed among treatments. However, although understory light availability was significantly increased by canopy manipulation, groundlayer communities and oak seedling survival and growth did not differ among treatments. High overall seedling survival rates suggest current conditions are amenable to oak regeneration, but long‐term monitoring will be needed to assess the potential for seedlings to transition to the sapling and canopy layers. Early results demonstrate that canopy‐focused silvicultural treatments can affect the understory light environment and, to some degree, groundlayer plant communities. However, underplanting of oak seedlings paired with subcanopy thinning may be sufficient to restore an oak seedling layer, and (when necessary or preferred) canopy manipulation could potentially be deferred until later in the restoration timeline to promote oak recruitment.