Ultra‐Conserved Elements and morphology reciprocally illuminate conflicting phylogenetic hypotheses in Chalcididae (Hymenoptera,Chalcidoidea)

Recent technical advances combined with novel computational approaches have promised the acceleration of our understanding of the tree of life. However, when it comes to hyperdiverse and poorly known groups of invertebrates, studies are still scarce. As published phylogenies will be rarely challenged by future taxonomists, careful attention must be paid to potential analytical bias. We present the first molecular phylogenetic hypothesis for the family Chalcididae, a group of parasitoid wasps, with a representative sampling (144 ingroups and seven outgroups) that covers all described subfamilies and tribes, and 82% of the known genera. Analyses of 538 Ultra‐Conserved Elements (UCEs) with supermatrix (RAx ML and IQTREE) and gene tree reconciliation approaches (ASTRAL, ASTRID) resulted in highly supported topologies in overall agreement with morphology but reveal conflicting topologies for some of the deepest nodes. To resolve these conflicts, we explored the phylogenetic tree space with clustering and gene genealogy interrogation methods, analyzed marker and taxon properties that could bias inferences and performed a thorough morphological analysis (130 characters encoded for 40 taxa representative of the diversity). This joint analysis reveals that UCEs enable attainment of resolution between ancestry and convergent/divergent evolution when morphology is not informative enough, but also shows that a systematic exploration of bias with different analytical methods and a careful analysis of morphological features is required to prevent publication of artifactual results. We highlight a GC content bias for maximum‐likelihood approaches, an artifactual mid‐point rooting of the ASTRAL tree and a deleterious effect of high percentage of missing data (>85% missing UCEs) on gene tree reconciliation methods. Based on the results we propose a new classification of the family into eight subfamilies and ten tribes that lay the foundation for future studies on the evolutionary history of Chalcididae.     

A Plasmopara viticola RXLR effector targets a chloroplast protein PsbP to inhibit ROS production in grapevine

Pathogens secrete a large number of effectors that manipulate host processes to create an environment conducive to pathogen colonization. However, the underlying mechanisms by which Plasmopara viticola effectors manipulate host plant cells remain largely unclear. In this study, we reported that RXLR31154, a P. viticola RXLR effector, was highly expressed during the early stages of P. viticola infection. In our study, stable expression of RXLR31154 in grapevine (Vitis vinifera) and Nicotiana benthamiana promoted leaf colonization by P. viticola and Phytophthora capsici, respectively. By yeast two-hybrid screening, the 23-kDa oxygen-evolving enhancer 2 (VpOEE2 or VpPsbP), encoded by the PsbP gene, in Vitis piasezkii accession Liuba-8 was identified as a host target of RXLR31154. Overexpression of VpPsbP enhanced susceptibility to P. viticola in grapevine and P. capsici in N. benthamiana, and silencing of NbPsbPs, the homologs of PsbP in N. benthamiana, reduced P. capcisi colonization, indicating that PsbP is a susceptibility factor. RXLR31154 and VpPsbP protein were co-localized in the chloroplast. Moreover, VpPsbP reduced H₂O₂ accumulation and activated the ¹O₂ signaling pathway in grapevine. RXLR31154 could stabilize PsbP. Together, our data revealed that RXLR31154 reduces H₂O₂ accumulation and activates the ¹O₂ signaling pathway through stabilizing PsbP, thereby promoting disease.     

Application of plant metabarcoding to identify diverse honeybee pollen forage along an urban–agricultural gradient

Understanding animal foraging ecology requires large sample sizes spanning broad environmental and temporal gradients. For pollinators, this has been hampered by the laborious nature of morphologically identifying pollen. Identifying pollen from urban environments is particularly difficult due to the presence of diverse ornamental species associated with consumer horticulture. Metagenetic pollen analysis represents a potential solution to this issue. Building upon prior laboratory and bioinformatic methods, we applied quantitative multilocus metabarcoding to characterize the foraging ecology of honeybee colonies situated in urban, suburban, mixed suburban–agricultural and rural agricultural sites in central Ohio, USA. In cross‐validating a subset of our metabarcoding results using microscopic palynology, we find strong concordance between the molecular and microscopic methods. Our results suggest that forage from the agricultural site exhibited decreased taxonomic diversity and temporal turnover relative to the urban and suburban sites, though the generalization of this observation will require replication across additional sites and cities. Our work demonstrates the power of honeybees as environmental samplers of floral community composition at large spatial scales, aiding in the distinction of taxa characteristically associated with urban or agricultural land use from those distributed ubiquitously across the sampled landscapes. Observed patterns of high forage diversity and compositional turnover in our more urban sites are likely reflective of the fine‐grain heterogeneity and high beta diversity of urban floral landscapes at the scale of honeybee foraging. This provides guidance for future studies investigating how relationships between urbanization and measures of pollinator health are mediated by variation in floral resource dynamics across landscapes.     

The Bio3D packages for structural bioinformatics

Bio3D is a family of R packages for the analysis of biomolecular sequence, structure, and dynamics. Major functionality includes biomolecular database searching and retrieval, sequence and structure conservation analysis, ensemble normal mode analysis, protein structure and correlation network analysis, principal component, and related multivariate analysis methods. Here, we review recent package developments, including a new underlying segregation into separate packages for distinct analysis, and introduce a new method for structure analysis named ensemble difference distance matrix analysis (eDDM). The eDDM approach calculates and compares atomic distance matrices across large sets of homologous atomic structures to help identify the residue wise determinants underlying specific functional processes. An eDDM workflow is detailed along with an example application to a large protein family. As a new member of the Bio3D family, the Bio3D‐eddm package supports both experimental and theoretical simulation‐generated structures, is integrated with other methods for dissecting sequence‐structure–function relationships, and can be used in a highly automated and reproducible manner. Bio3D is distributed as an integrated set of platform independent open source R packages available from: http://thegrantlab.org/bio3d/ .     

Cytological and morphology characteristics of natural microsporogenesis within Camellia oleifera

Camellia oleifera is believed to exhibit a complex intraspecific polyploidy phenomenon. Abnormal microsporogenesis can promote the formation of unreduced gametes in plants and lead to sexual polyploidy, so it is hypothesized that improper meiosis probably results in the formation of natural polyploidy in Camellia oleifera. In this study, based on the cytological observation of meiosis in pollen mother cells (PMCs), we found natural 2n pollen for the first time in Camellia oleifera, which may lead to the formation of natural polyploids by sexual polyploidization. Additionally, abnormal cytological behaviour during meiosis, including univalent chromosomes, extraequatorial chromosomes, early segregation, laggard chromosomes, chromosome stickiness, asynchronous meiosis and deviant cytokinesis (monad, dyads, triads), was observed, which could be the cause of 2n pollen formation. Moreover, we confirmed a relationship among the length–width ratio of flower buds, stylet length and microsporogenesis. This result suggested that we can immediately determine the microsporogenesis stages by phenotypic characteristics, which may be applicable to breeding advanced germplasm in Camellia oleifera.Supplementary InformationThe online version contains supplementary material available at 10.1007/s12298-021-01002-5.     

基于MaxEnt模型的延河流域草本植物适生分布与功能性状分析

明确延河流域常见草本植物的潜在适生区分布,是植被恢复工作持续推进的基础。本研究收集了延河流域8种常见草本植物的地理分布信息和13个环境变量,采用MaxEnt和ArcGIS模拟了延河流域常见草本植物在当前气候下的潜在适生性分布,进而研究这8种不同草本植物适生性分布与功能性状变异特征之间的相关关系。研究结果显示：根据物种-性状排序图的分布格局判断,本研究选择的七个功能性状在植物所属科之间发生了明显趋异分化现象,在PC1右侧为禾本科植物,PC1左侧为菊科、豆科和唇形科植物。对物种适生性分布模拟结果表明,达乌里胡枝子在研究区内的适生性最高,百里香的适生性最低,表明达乌里胡枝子比其他常见草本物种更适合被选择为该流域的植被恢复的先锋物种。在功能性状变异特征相关性分析中,物种适生区大小与比叶面积变异系数呈显著正相关,与其他植物功能性状变异特征不显著。因此,比叶面积的变异系数更适合作为指示延河流域草本植物适生区大小的性状。     

黄土区不同恢复年限草地群落生物量及根冠比对氮添加的响应

大气氮沉降增加作为全球变化的主要环境问题之一,已引发人们的广泛关注,持续的氮沉降对草地生态系统的组成、结构和功能产生重要影响。为深入了解草地恢复进程中群落生物量和根冠比对氮沉降的响应,以黄土区3个不同恢复年限（初期12a、中期28a和后期37a）的天然草地为研究对象,通过设置6个氮添加水平,CK （0）、N1（2.34g m^-2a^-1）、N2（4.67g m^-2a^-1）、N3（9.34g m^-2a^-1）、N4（18.68g m^-2a^-1）、N5（37.35g m^-2a^-1）来测定草地群落地上生物量、地下生物量和总生物量,并计算根冠比和氮响应效率（NRE）。结果表明：（1）地上生物量在恢复中期最大,随氮添加梯度增加,地上生物量在恢复初期和恢复后期呈不显著上升趋势,对氮添加表现为非线性的正响应（ΔNRE>0）,在恢复中期呈不显著下降趋势,对氮添加表现为非线性的负响应（ΔNRE<0）。（2）群落地下生物量对氮添加无显著响应,总生物量只有在恢复后期的N4添加水平下,与对照存在显著差异。（3）根冠比在恢复初期时,N3添加水平下显著高于对照和其他氮添加水平,其余恢复年限对氮添加无显著响应。综上所述,通过分析比较黄土区不同恢复年限草地群落的地上、地下及总生物量和根冠比对氮添加的响应。建议对该区域开展试点实验,实行适应性草地管理,如进行两年一次刈割或轻度放牧（2只羊/hm²）,来探寻更科学有效的管理措施,使草地实现系统性恢复,进而满足生态系统容量和社会需求的变化。     

煤炭资源型城市生态安全评价——以锡林浩特市为例

煤炭资源型城市生态安全评价能够协调人口、资源和环境之间的矛盾,保障城市可持续发展。基于PSR模型,以煤炭资源型城市锡林浩特市为研究区域,从生态环境和社会经济方面共选取了33个指标因子,构建了煤炭资源型城市的生态安全评价指标体系,运用熵权TOPSIS法进行了城市生态安全综合评价,并通过障碍度模型对城市生态安全的主要障碍因子进行了研究。研究结果表明:(1)2008—2017年锡林浩特市生态安全水平总体呈缓慢上升趋势。生态安全综合评价指数从0.464上升到0.553,安全等级由较不安全转为临界安全状态;(2)10年间PSR三大指数表现出不同变化特征。压力指数呈下降后上升再小幅下降的变化趋势,状态指数呈波动上升趋势,响应指数呈快速上升趋势;(3)子系统的障碍度分析表明压力系统的障碍度最大,是影响煤炭资源型城市生态安全的首要因素。子系统的障碍度变化趋势表现为:压力系统和状态系统的障碍度均不同程度增大,响应系统的障碍度越来越小;(4)单项指标的障碍度分析表明影响该资源型城市生态安全的主要障碍因子集中在压力系统和状态系统,10年间最大障碍因子经历了从城镇化率到矿区面积的演变。