兴隆山国家级自然保护区不同生境的蝴蝶群落结构与种-多度分布

为明确甘肃兴隆山国家级自然保护区内的蝴蝶种类, 以及不同生境的蝴蝶群落结构与种-多度分布的变化情况, 在全部5个林场选取6条样线, 于2015-2018年连续4年采用样线法对保护区的蝴蝶进行调查和采集, 并分析了其多样性指数及种-多度分布。4年共采集蝴蝶标本5,719号, 经鉴定隶属8科69属120种。眼蝶科(3,093号)是保护区的优势类群, 喙蝶科仅采集到1号标本(朴喙蝶, Libythea lepita), 为保护区的稀有种类。其中, 各样线的种数、个体数、多样性指数以及物种丰富度表现为: 样线I最高, 样线IV次之, 说明其生境结构稳定, 环境良好, 适合蝶类生存; 样线III蜜源植物丰富, 各项指数较高; 样线V海拔较高, 各项指数较低; 样线II植物群落结构单一, 各项指数最低。相似性系数分析结果表明: 样线I和VI、III和IV、III和VI均为中等相似; 其余各样线间为中等不相似。区系分析结果表明: 古北种有63种, 占总种数的52.5%; 东洋种2种, 占总种数的1.7%; 广布种55种, 占总种数的45.8%。说明古北种占绝对优势, 且明显高于东洋种, 具有很强的地区代表性。种-多度分布分析结果表明: 样线I和IV呈现出对数正态分布, 模型拟合效果较好; 样线II和VI为非典型的对数级数模型, 符合生态位优先占领假说。说明不同生境以及人为干扰因素与蝶类多样性关系密切, 表现出单一生态系统蝴蝶群落的多样性指数较低, 复杂生态系统其多样性指数较高的特点。     

湖南高望界国家级自然保护区及其周边蝶类多样性与影响因素

为了解湖南高望界国家级自然保护区蝶类多样性本底及其影响因素, 2016年5月至2018年10月, 我们采用样线法对保护区内外的6种生境(保护区内4种, 区外2种)开展了20次蝶类多样性调查。共记录蝴蝶个体13,956只, 依照五科分类系统, 隶属5科113属239种, 其中湖南省蝶类新记录17种。区系成分以东洋种为主(139种, 占58.1%), 广布种次之(97种, 占40.6%), 古北种最少(3种, 占1.3%)。对不同生境的蝶类群落多样性指数进行分析后发现, 人为干扰程度和生境异质性共同影响蝶类多样性。不同生境相似性分析结果表明, 蝶类群落的相似度与人为干扰程度和植被类型差异密切相关。3年间, 蝶类多样性指数月度变化基本一致, 蝶类物种数、多样性指数与月均温间呈显著正相关, 与月降水量无相关性。综上, 蝶类多样性受到人为干扰程度和气象因子的影响。为保护蝶类资源, 建议保护好蝶类栖息地, 减少人为干扰。     

Confidently identifying the correct K value using the ΔK method: When does K = 2?

Populations delineated based on genetic data are commonly used for wildlife conservation and management. Many studies use the program structure combined with the ΔK method to identify the most probable number of populations (K). We recently found K = 2 was identified more often when studies used ΔK compared to studies that did not. We suggested two reasons for this: hierarchical population structure leads to underestimation, or the ΔK method does not evaluate K = 1 causing an overestimation. The present contribution aims to develop a better understanding of the limits of the method using one, two and three population simulations across migration scenarios. From these simulations we identified the “best K” using model likelihood and ΔK. Our findings show that mean probability plots and ΔK are unable to resolve the correct number of populations once migration rate exceeds 0.005. We also found a strong bias towards selecting K = 2 using the ΔK method. We used these data to identify the range of values where the ΔK statistic identifies a value of K that is not well supported. Finally, using the simulations and a review of empirical data, we found that the magnitude of ΔK corresponds to the level of divergence between populations. Based on our findings, we suggest researchers should use the ΔK method cautiously; they need to report all relevant data, including the magnitude of ΔK, and an estimate of connectivity for the research community to assess whether meaningful genetic structure exists within the context of management and conservation.     

Regional differences in the abiotic environment contribute to genomic divergence within a wild tomato species

The wild currant tomato Solanum pimpinellifolium inhabits a wide range of abiotic habitats across its native range of Ecuador and Peru. Although it has served as a key genetic resource for the improvement of domestic cultivars, little is known about the genetic basis of traits underlying local adaptation in this species, nor what abiotic variables are most important for driving differentiation. Here we use redundancy analysis (RDA) and other multivariate statistical methods (structural equation modelling [SEM] and generalized dissimilarity modelling [GDM]) to quantify the relationship of genomic variation (6,830 single nucleotide polymorphisms [SNPs]) with climate and geography, among 140 wild accessions. RDA, SEM and GDM each identified environment as explaining more genomic variation than geography, suggesting that local adaptation to heterogeneous abiotic habitats may be an important source of genetic diversity in this species. Environmental factors describing temporal variation in precipitation and evaporative demand explained the most SNP variation among accessions, indicating that these forces may represent key selective agents. Lastly, by studying how SNP–environment associations vary throughout the genome (44,064 SNPs), we mapped the location and investigated the functions of loci putatively contributing to climatic adaptations. Together, our findings indicate an important role for selection imposed by the abiotic environment in driving genomic differentiation between populations.     

蛋白质-RNA序列结构界面偏好性及用于对接打分统计势的构建

本文对来自PDB (Protein Data Bank)数据库的蛋白质-RNA复合物结构构建了非冗余非核糖体数据库(694个结构),并对此数据库统计了蛋白质和RNA序列及二级结构的界面偏好性.结果发现,蛋白质β折叠、3_(10)-helix和RNA未配对核苷酸,尤其是未配对中空间排列不规整的核苷酸,具有显著的界面偏好性.据此,对二级结构进行归类,建立了考虑序列和二级结构信息的60×12氨基酸-核苷酸成对偏好势,并将其作为打分函数用于蛋白质-RNA对接中近天然结构的筛选.结果表明,该60×12统计势的打分成功率为65.77%,优于考虑蛋白质或RNA二级结构信息的统计势,及我们小组之前在251个结构上构建的60×8~*统计势.该工作有助于加深对蛋白质-RNA特异性识别的理解,可推动复合物结构预测的进展.     

冠层结构对梨叶片光合特性及果实品质的影响

冠层结构是影响果树生长发育及丰产优质的重要因素。该研究以20年生‘玉露香’梨大冠分层树形为对照(CK),以冠层整形修剪后的3、4和5个主枝的开心树形为处理(分别记为OCC_(3b)、OCC_(4b)和OCC_(5b)),测定了冠层截获的光合有效辐射、叶片的气体交换、叶绿素荧光和果实品质特性,探讨不同冠层结构内光环境的变化对梨树叶片光合特性及果实品质的影响,探讨果树的光合调控和结实规律,为西北黄土高原产区果树的标准化整形修剪提供理论依据。结果表明:(1)OCC_(3b)、OCC_(4b)和OCC_(5b)的冠层不同方位和不同时刻截获的光合有效辐射(PAR)均高于CK。与CK和OCC_(5b)相比,OCC_(3b)和OCC_(4b)叶片光响应的最大净光合速率(P_(nmax))和羧化效率(CE)显著提高。(2)在强光胁迫下,开心树形叶片光呼吸速率(P_r)占总光合速率(P_g)的比例(P_r/P_g)和非光化学淬灭(NPQ)中可恢复组分r(qE)提高,同时不可恢复组分r(qI)降低。(3)OCC_(3b)和OCC_(4b)比OCC_(5b)和CK的单果重、果面红晕面积、果皮花青苷含量、可溶性固形物含量和可溶性总糖含量均显著提高,而可滴定酸含量显著降低。(4)PAR与果面着色面积和果皮花青苷含量呈极显著正相关关系,P_(nmax)与单果重呈极显著正相关关系,而PAR和P_(nmax)均与可滴定酸呈极显著负相关关系。研究发现,OCC_(3b)和OCC_(4b)的梨树冠层内可截获更多的光能,叶片光合能力更强,遭遇强光胁迫时能够通过更高效的热耗散和光呼吸进行自我保护,而且开心形树冠结构还能显著提升果实品质。     

Sunshine versus gold: The effect of population age on genetic structure of an invasive mosquito

The genetic diversity and structure of invasive species are affected by the time since invasion, but it is not well understood how. We compare likely the oldest populations of Aedes aegypti in continental North America with some of the newest to illuminate the range of genetic diversity and structure that can be found within the invasive range of this important disease vector. Aedes aegypti populations in Florida have probably persisted since the 1600‐1700s, while populations in southern California derive from new invasions that occurred in the last 10 years. For this comparison, we genotyped 1,193 individuals from 28 sites at 12 highly variable microsatellites and a subset of these individuals at 23,961 single nucleotide polymorphisms (SNPs). This is the largest sample analyzed for genetic structure for either region, and it doubles the number of southern California populations previously analyzed. As predicted, the older populations (Florida) showed fewer indicators of recent founder effect and bottlenecks; in particular, these populations have dramatically higher genetic diversity and lower genetic structure. Geographic distance and driving distance were not good predictors of genetic distance in either region, especially southern California. Additionally, southern California had higher levels of genetic differentiation than any comparably sized documented region throughout the worldwide distribution of the species. Although population age and demographic history are likely driving these differences, differences in climate and transportation practices could also play a role.     

The complete chloroplast genome of Myriophyllum spicatum reveals a 4‐kb inversion and new insights regarding plastome evolution in Haloragaceae

Myriophyllum, among the most species‐rich genera of aquatic angiosperms with ca. 68 species, is an extensively distributed hydrophyte lineage in the cosmopolitan family Haloragaceae. The chloroplast (cp) genome is useful in the study of genetic evolution, phylogenetic analysis, and molecular dating of controversial taxa. Here, we sequenced and assembled the whole chloroplast genome of Myriophyllum spicatum L. and compared it to other species in the order Saxifragales. The complete chloroplast genome sequence of M. spicatum is 158,858 bp long and displays a quadripartite structure with two inverted repeats (IR) separating the large single copy (LSC) region from the small single copy (SSC) region. Based on sequence identification and the phylogenetic analysis, a 4‐kb phylogenetically informative inversion between trnE‐trnC in Myriophyllum was determined, and we have placed this inversion on a lineage specific to Myriophyllum and its close relatives. The divergence time estimation suggested that the trnE‐trnC inversion possibly occurred between the upper Cretaceous (72.54 MYA) and middle Eocene (47.28 MYA) before the divergence of Myriophyllum from its most recent common ancestor. The unique 4‐kb inversion might be caused by an occurrence of nonrandom recombination associated with climate changes around the K‐Pg boundary, making it interesting for future evolutionary investigations.