Current capacity,bottlenecks, and future projections for offsetting habitat loss using Mitigation and Conservation banking in the United States

Habitat banking in its many iterations is an established and popular mechanism to deliver environmental offsets. The United States can look back at over 30 years of banking experience with the underlying framework and policies being consistently updated and improved. Given the increased demand in habitat banking, we provide insights into how bank area capacity is distributed across the United States for four different bank targets (wetlands, streams, multiple ecosystems, species) based on information extracted from the Regulatory In-lieu Fee and Bank Information Tracking System, as well as, estimating future capacities and area reserves through a predictive modeling approach based on data from the past 26 years. Future predictions indicate a decrease in available reserves for banks targeting wetlands or multiple ecosystems, with potential bottlenecks relating to large reserves being limited to the southeast and release schedules not catching up to the current and anticipated demand. Banks targeting species or streams are predicted to meet future demand, with species banks (conservation banks) following a different legislative and operational approach based on the listing of endangered species and pro-active approaches with anticipated future demand. Most current reserves for all four bank types are restricted to very few service areas with around one-third of all bank areas still awaiting release, limiting their availability on a broader scale. Strategic planning networks are necessary to meet future demand on a national scale and to identify areas suitable for banking or likely to experience future environmental or developmental stress.     

高寒区大豆关键生育期低温冷害指标构建

构建高寒区大豆低温冷害指标对系统分析高寒区大豆适应气候变化对策、防灾减灾及其他胁迫的协同适应技术具有参考意义。本研究利用1980—2020年黑龙江省大豆低温冷害灾情史料、生育期资料及研究区78个气象站逐日气温资料,采用GIS技术匹配生育期与气象数据,考虑不同生育阶段积温距平、日平均气温低于生育下限温度的持续日数,构建高寒区大豆综合性冷害指数。利用K-S分布拟合检验及置信区间下限值确定阈值方法,构建高寒区大豆关键生育阶段低温冷害等级指标。结果表明: 大豆播种-出苗期,研究区大豆轻度、中度、重度冷害低温指数下限值分别为0.061、0.115、0.237;出苗-开花期分别为0.072、0.152、0.312;开花-成熟期分别为0.133、0.245、0.412。由低温指数反演的黑龙江省大豆低温冷害时间分布与历史灾情记载吻合度很高;空间上表现出较明显的纬度特征,冷害发生频率呈自南向北逐渐增加的趋势。     

几种椎间盘退变动物模型的建立和应用

椎间盘退变是一种年龄相关的退行性疾病,是引起下腰痛的主要因素,严重影响病人的生活质量,并显著增加家庭的经济负担。目前,缺少椎间盘退变的有效干预和治疗手段,部分原因是其发病机制尚未阐明。椎间盘退变动物模型的构建对于阐明该疾病的病理机制至关重要。椎间盘退变是一个复杂的过程,受机械应力、结构损伤、生物化学与基因表达等多种因素的影响。本文总结了应用异常机械应力、结构损伤、生物化学或化学诱导和基因敲除等方式构建的椎间盘退变动物模型。生物力学是维持椎间盘稳态的重要因素,异常的机械应力会导致椎间盘退变。同时,椎间盘退变常伴随结构性损伤,椎间盘结构破坏也会导致椎间盘发生退变。此外,生物化学或化学诱导和关键基因敲除也会导致椎间盘退变。本文按照造成异常机械应力的因素将机械应力模型分为加压模型和失稳模型;按照椎间盘结构将结构损伤模型分为髓核与纤维环损伤模型和软骨终板损伤模型。总结了生物化学或化学诱导模型以及新型的基因敲除模型。讨论了不同类型椎间盘退变动物模型的可能应用和局限性。     

The mutational dynamics of the SARS-CoV-2 virus in serial passages in vitro

Since its outbreak in 2019, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) keeps surprising the medical community by evolving diverse immune escape mutations in a rapid and effective manner. To gain deeper insight into mutation frequency and dynamics, we isolated ten ancestral strains of SARS-CoV-2 and performed consecutive serial incubation in ten replications in a suitable and common cell line and subsequently analysed them using RT-qPCR and whole genome sequencing. Along those lines we hoped to gain fundamental insights into the evolutionary capacity of SARS-CoV-2 in vitro. Our results identified a series of adaptive genetic changes, ranging from unique convergent substitutional mutations and hitherto undescribed insertions. The region coding for spike proved to be a mutational hotspot, evolving a number of mutational changes including the already known substitutions at positions S:484 and S:501. We discussed the evolution of all specific adaptations as well as possible reasons for the seemingly inhomogeneous potential of SARS-CoV-2 in the adaptation to cell culture. The combination of serial passage in vitro with whole genome sequencing uncovers the immense mutational potential of some SARS-CoV-2 strains. The observed genetic changes of SARS-CoV-2 in vitro could not be explained solely by selectively neutral mutations but possibly resulted from the action of directional selection accumulating favourable genetic changes in the evolving variants, along the path of increasing potency of the strain. Competition among a high number of quasi-species in the SARS-CoV-2 in vitro population gene pool may reinforce directional selection and boost the speed of evolutionary change.     

CircRNA: a rising star in plant biology

Circular RNAs (circRNAs) are covalently closed single-stranded RNA molecules, which are widespread in eukaryotic cells. As regulatory molecules, circRNAs have various functions, such as regulating gene expression, binding miRNAs or proteins, and being translated into proteins, which are important for cell proliferation and cell differentiation, individual growth and development, as well as many other biological processes. However, compared with that in animal models, studies of circRNAs in plants lags behind and, particularly, the regulatory mechanisms of biogenesis and molecular functions of plant circRNAs remain elusive. Recent studies have shown that circRNAs are wide spread in plants with tissue- or development-specific expression patterns and are responsive to a variety of environmental stresses. In this review, we summarize these advances, focusing on the regulatory mechanisms of biogenesis, molecular and biological functions of circRNAs, and the methods for investigating circRNAs. We also discuss the challenges and the prospects of plant circRNA studies.     

Development of a novel MATLAB-based framework for implementing mechanical joint stability constraints within OpenSim musculoskeletal models

The Static Optimization (SO) solver in OpenSim estimates muscle activations and forces that only equilibrate applied moments. In this study, SO was enhanced through an open-access MATLAB interface, where calculated muscle activations can additionally satisfy crucial mechanical stability requirements. This Stability-Constrained SO (SCSO) is applicable to many OpenSim models and can potentially produce more biofidelic results than SO alone, especially when antagonistic muscle co-contraction is required to stabilize body joints. This hypothesis was tested using existing models and experimental data in the literature. Muscle activations were calculated by SO and SCSO for a spine model during two series of static trials (i.e. simulation 1 and 2), and also for a lower limb model (supplementary material 2). In simulation 1, symmetric and asymmetric flexion postures were compared, while in simulation 2, various external load heights were compared, where increases in load height did not change the external lumbar flexion moment, but necessitated higher EMG activations. During the tasks in simulation 1, the predicted muscle activations by SCSO demonstrated less average deviation from the EMG data (6.8% −7.5%) compared to those from SO (10.2%). In simulation 2, SO predicts constant muscle activations and forces, while SCSO predicts increases in the average activations of back and abdominal muscles that better match experimental data. Although the SCSO results are sensitive to some parameters (e.g. musculotendon stiffness), when considering the strategy of the central nervous system in distributing muscle forces and in activating antagonistic muscles, the assigned activations by SCSO are more biofidelic than SO.     

Global secretome analysis of resident cardiac progenitor cells from wild-type and transgenic heart failure mice: Why ambience matters

Resident cardiac progenitor cells (CPCs) have gained attention in cardiac regenerative medicine primarily due to their paracrine activity. In our current study we determined the role of pathological conditions such as heart failure on the autocrine-paracrine action of stem cell antigen-1 (Sca-1) expressing CPC. This comparative secretome profiling of Sca-1⁺ cells derived from transgenic heart failure (αMHC–cyclin-T1/Gαq overexpression [Cyc] cells) versus healthy (wild-type [Wt] cells) mice, achieved via mass-spectrometric quantification, enabled the identification of over 700 proteins. Our results demonstrate that the heart failure milieu caused a 2-fold enrichment of extracellular matrix proteins (ECM) like biglycan, versican, collagen XII, and angiogenic factors like heparan sulfate proteoglycan 2, plasminogen activator inhibitor 1 in the secretome. We further elucidated the direct influence of the secretome on the functional behavior of Sca-1 ⁺ cells via in vitro tube forming assay. Secreted factors present in the diseased milieu induced tube formation in Cyc cells (1.7-fold; p < 0.01) when compared with Wt cells after 24 hr of exposure. The presence of conditioned media moderately increased the proliferation of Cyc cells but had a more pronounced effect on Wt cells. Overall, these findings revealed global modifications in the secretory activity of adult Sca-1 ⁺ cells in the heart failure milieu. The secretion of ECM proteins and angiogenic factors, which are crucial for cardiac remodeling and recovery, was notably enriched in the supernatant of Cyc cells. Thus, during heart failure the microenvironment of Sca-1 ⁺ cells might favor angiogenesis and proliferation suggesting their potential to recover the damaged heart.     

Mechanistic insight into the attenuation of gouty inflammation by Taiwanese green propolis via inhibition of the NLRP3 inflammasome

Dysregulation of NACHT, LRR, and PYD domains-containing protein 3 (NLRP3) inflammasome is involved in many chronic inflammatory diseases, including gouty arthritis. Activation of the NLRP3 inflammasome requires priming and activation signals: the priming signal controls the expression of NLRP3 and interleukin (IL)-1β precursor (proIL-1β), while the activation signal leads to the assembly of the NLRP3 inflammasome and to caspase-1 activation. Here, we reported the effects of the alcoholic extract of Taiwanese green propolis (TGP) on the NLRP3 inflammasome in vitro and in vivo. TGP inhibited proIL-1β expression by reducing nuclear factor kappa B activation and reactive oxygen species (ROS) production in lipopolysaccharide-activated macrophages. Additionally, TGP also suppressed the activation signal by reducing mitochondrial damage, ROS production, lysosomal rupture, c-Jun N-terminal kinases 1/2 phosphorylation and apoptosis-associated speck-like protein oligomerization. Furthermore, we found that TGP inhibited the NLRP3 inflammasome partially via autophagy induction. In the in vivo mouse model of uric acid crystal-induced peritonitis, TGP attenuated the peritoneal recruitment of neutrophils, and the levels of IL-1β, active caspase-1, IL-6 and monocyte chemoattractant protein-1 in lavage fluids. As a proof of principle, in this study, we purified a known compound, propolin G, from TGP and identified this compound as a potential inhibitor of the NLRP3 inflammasome. Our results indicated that TGP might be useful for ameliorating gouty inflammation via inhibition of the NLRP3 inflammasome.     

天山一号冰川表面冰尘和底部沉积层中可培养酵母菌系统发育类群的分布及生态生理特征

【目的】揭示乌鲁木齐河源天山1号冰川表面冰尘(CS)和底部沉积层(DS)可培养酵母菌系统发育类群及其结构组成差异,分析低温酵母菌代表菌株之间的生态、生理生化特性。【方法】利用4种培养基分离天山1号冰川可培养酵母菌,采用ITS基因序列分析确定菌种的系统进化地位。对分离菌株的最适生长温度、耐盐性和产酶等生态、生理学特性进行分析。【结果】从冰尘和底部沉积层中共分离出152株酵母菌菌株,通过ITSrRNA基因序列的NCBI比对和Rep-PCR指纹分型,结果表明酵母菌类群包括担子菌门(Basidiomycota)和子囊菌(Ascomycota),分属于14个属26种,其中担子菌门柄锈菌亚门(Pucciniomycotina)88株、伞菌亚门(Agariomycotina)24株,子囊菌门40株,冰川广布酵母菌Vishniacozyma victoriae为优势菌株(占比21.84%)。17种酵母的最适生长温度为15°C、2种为10°C、6种为20°C。25株代表酵母菌株产酶分析显示,产脂肪酶、淀粉酶、蛋白酶菌株分别为11株、11株、5株,6株3种酶都不产。【结论】天山1号冰川冰尘及底部沉积层可培养低温酵母系统发育类群结构存在差异,产低温酶活性高、稳定性好,为今后冰川低温酵母菌的研究提供有价值的数据支持。