Staphylococcus aureus SH1000 and 8325‐4: comparative genome sequences of key laboratory strains in staphylococcal research

Aims: To provide comparative genome sequence data for two related model strains of Staphylococcus aureus (SH1000 and 8325‐4) that are used extensively in laboratory research. Methods and Results: Comparative genome sequencing was used to identify genetic differences between Staph. aureus SH1000 and the fully genome‐sequenced ancestral strain, Staph. aureus NCTC 8325. PCR amplification and DNA sequencing were employed to determine which of the genetic polymorphisms identified were also present in Staph. aureus 8325‐4, a direct derivative of 8325 and the parent strain of SH1000. Aside from known genetic differences between these strains, Staph. aureus SH1000 harboured 15 single‐nucleotide polymorphisms compared with 8325 (of which 12 were also found in 8325‐4), and a 63‐bp deletion upstream of the spa gene not present in either 8325 or 8325‐4. Conclusions: Staphylococcus aureus SH1000 and 8325‐4 contain a number of genetic polymorphisms relative to the progenitor strain of the lineage (8325) and to each other. Significance and Impact of the Study: The comparative genome sequences of SH1000 and 8325‐4 presented here define the genotypes of two key strains in staphylococcal laboratory research and reveal genetic polymorphisms that may impact their phenotypic properties.     

蚊虫组学研究进展

近年来,随着高通量测序技术和生物信息学分析技术的成熟和不断革新,蚊虫基因组学、转录组学、小RNA组学也获得了快速发展。迄今为止,已有包括白纹伊蚊、埃及伊蚊、冈比按蚊在内约22种媒介蚊虫的基因组被解析报道。不同蚊种的基因组大小差异很大,且与基因组中的重复序列的多少呈正相关;蚊基因组的解析和比较基因组的分析有助于探索蚊基因组的结构和功能;转录组的研究为蚊虫嗅觉、性别决定、胚胎发育等相关基因的研究提供了有效手段;小RNA组的研究揭示了miRNA和piRNA在蚊媒抗病毒免疫通路中具有重要作用。综上所述,蚊虫组学研究为防治媒介蚊虫和蚊媒传染病病提供了理论基础和数据支撑。     

Plant adaptation to climate change—Where are we?

Climate change poses critical challenges for population persistence in natural communities, for agriculture and environmental sustainability, and for food security. In this review, we discuss recent progress in climatic adaptation in plants. We evaluate whether climate change exerts novel selection and disrupts local adaptation, whether gene flow can facilitate adaptive responses to climate change, and whether adaptive phenotypic plasticity could sustain populations in the short term. Furthermore, we discuss how climate change influences species interactions. Through a more in‐depth understanding of these eco‐evolutionary dynamics, we will increase our capacity to predict the adaptive potential of plants under climate change. In addition, we review studies that dissect the genetic basis of plant adaptation to climate change. Finally, we highlight key research gaps, ranging from validating gene function to elucidating molecular mechanisms, expanding research systems from model species to other natural species, testing the fitness consequences of alleles in natural environments, and designing multifactorial studies that more closely reflect the complex and interactive effects of multiple climate change factors. By leveraging interdisciplinary tools (e.g., cutting‐edge omics toolkits, novel ecological strategies, newly developed genome editing technology), researchers can more accurately predict the probability that species can persist through this rapid and intense period of environmental change, as well as cultivate crops to withstand climate change, and conserve biodiversity in natural systems.     

黄唇鱼(Bahaba flavolabiata)的全基因组测序和基因组特征研究

黄唇鱼(Bahaba flavolabiata)为国家二级重点保护野生动物、IUCN(世界自然保护联盟)红色名录的极度濒危物种(CR)。基于其样本数量极其有限,全基因组研究可以提供大量与重要性状相关的功能基因和分子标记,从而揭示其重要生命现象的遗传机制。采用二代测序技术于2018年5月完成了黄唇鱼基因组精细图的测序,分析结果表明,测序得到约202 Gb的高质量数据,总测序深度约为317×;组装得到的基因组大小为637.43 Mb,Contig N50约为88 Kb,Scaffold N50约为4.65 Mb;重复序列约142.72 Mb,占比22.39%,预测得到23743个基因、920个t RNA、85个rRNA、176个假基因;98.46%的基因可以注释到NR、GO等数据库中;有67个基因家族是黄唇鱼所特有的。本研究从单碱基错误率、核心基因完整性及二代Reads比对分析3个方面对黄唇鱼基因组精细图的组装结果进行了评估,结果显示所组装的基因区的完整性较好。黄唇鱼基因组序列图谱的绘制完成,对于黄唇鱼自然资源的保护和种质资源挖掘具有极其重要的科学意义。     

Prioritising African perspectives in psychiatric genomics research: Issues of translation and informed consent

Psychiatric genomics research with African populations comes with a range of practical challenges around translation of psychiatric genomics research concepts, procedures, and nosology. These challenges raise deep ethical issues particularly around legitimacy of informed consent, a core foundation of research ethics. Through a consideration of the constitutive function of language, the paper problematises like‐for‐like, designative translations which often involve the ‘indigenization’ of English terms or use of metaphors which misrepresent the risks and benefits of research. This paper argues that effective translation of psychiatric genomics research terminology in African contexts demands substantive engagement with African conceptual schemas and values. In developing attenuated forms of translational thinking, researchers may recognise the deeper motivational reasons behind participation in research, highlighting the possibility that such reasons may depart from the original meaning implied within informed consent forms. These translational issues might be ameliorated with a critical re‐examination of how researchers develop and present protocols to institutional ethics review boards.     

A soil archaeal community responds to a decade of ecological restoration

Large‐scale restoration efforts are underway globally to mitigate the impact of decades of land degradation by returning functional and biodiverse ecosystems. Revegetation is a heavily relied upon restoration intervention, and one that is expected to result in associated biodiversity returns. However, the outcome of such restoration interventions rarely considers recovery to the soil microbiome, a mega‐diverse and functionally important ecosystem component. Here we examine the archaeal component of the soil microbiome and track community change after a decade of eucalypt woodland restoration in southern Australia. We employed DNA metabarcoding to show that archaeal community composition, richness, and diversity shifted significantly, and towards a restored state 10 years after the restoration intervention. Changes in soil pH and nitrate associated with changes to the archaeal community, potentially relating to the pH responsive properties and close relationship with the nitrogen cycle of some archaea. Our study helps shed light on archaeal community dynamics, as no other study has used DNA metabarcoding to study archaeal responses across a restoration chronosequence. Our results provide great promise for the development of molecular monitoring of the soil microbiome as a future restoration monitoring tool.     

Sampling strategy optimization to increase statistical power in landscape genomics: A simulation‐based approach

An increasing number of studies are using landscape genomics to investigate local adaptation in wild and domestic populations. Implementation of this approach requires the sampling phase to consider the complexity of environmental settings and the burden of logistical constraints. These important aspects are often underestimated in the literature dedicated to sampling strategies. In this study, we computed simulated genomic data sets to run against actual environmental data in order to trial landscape genomics experiments under distinct sampling strategies. These strategies differed by design approach (to enhance environmental and/or geographical representativeness at study sites), number of sampling locations and sample sizes. We then evaluated how these elements affected statistical performances (power and false discoveries) under two antithetical demographic scenarios. Our results highlight the importance of selecting an appropriate sample size, which should be modified based on the demographic characteristics of the studied population. For species with limited dispersal, sample sizes above 200 units are generally sufficient to detect most adaptive signals, while in random mating populations this threshold should be increased to 400 units. Furthermore, we describe a design approach that maximizes both environmental and geographical representativeness of sampling sites and show how it systematically outperforms random or regular sampling schemes. Finally, we show that although having more sampling locations (between 40 and 50 sites) increase statistical power and reduce false discovery rate, similar results can be achieved with a moderate number of sites (20 sites). Overall, this study provides valuable guidelines for optimizing sampling strategies for landscape genomics experiments.