Seasonality and resource availability control bacterial and archaeal communities in soils of a temperate beech forest

It was hypothesized that seasonality and resource availability altered through tree girdling were major determinants of the phylogenetic composition of the archaeal and bacterial community in a temperate beech forest soil. During a 2-year field experiment, involving girdling of beech trees to intercept the transfer of easily available carbon (C) from the canopy to roots, members of the dominant phylogenetic microbial phyla residing in top soils under girdled versus untreated control trees were monitored at bimonthly intervals through 16S rRNA gene-based terminal restriction fragment length polymorphism profiling and quantitative PCR analysis. Effects on nitrifying and denitrifying groups were assessed by measuring the abundances of nirS and nosZ genes as well as bacterial and archaeal amoA genes. Seasonal dynamics displayed by key phylogenetic and nitrogen (N) cycling functional groups were found to be tightly coupled with seasonal alterations in labile C and N pools as well as with variation in soil temperature and soil moisture. In particular, archaea and acidobacteria were highly responsive to soil nutritional and soil climatic changes associated with seasonality, indicating their high metabolic versatility and capability to adapt to environmental changes. For these phyla, significant interrelations with soil chemical and microbial process data were found suggesting their potential, but poorly described contribution to nitrification or denitrification in temperate forest soils. In conclusion, our extensive approach allowed us to get novel insights into effects of seasonality and resource availability on the microbial community, in particular on hitherto poorly studied bacterial phyla and functional groups.     

Phylogeny Reconstruction with Alignment-Free Method That Corrects for Horizontal Gene Transfer

Advances in sequencing have generated a large number of complete genomes. Traditionally, phylogenetic analysis relies on alignments of orthologs, but defining orthologs and separating them from paralogs is a complex task that may not always be suited to the large datasets of the future. An alternative to traditional, alignment-based approaches are whole-genome, alignment-free methods. These methods are scalable and require minimal manual intervention. We developed SlopeTree, a new alignment-free method that estimates evolutionary distances by measuring the decay of exact substring matches as a function of match length. SlopeTree corrects for horizontal gene transfer, for composition variation and low complexity sequences, and for branch-length nonlinearity caused by multiple mutations at the same site. We tested SlopeTree on 495 bacteria, 73 archaea, and 72 strains of Escherichia coli and Shigella. We compared our trees to the NCBI taxonomy, to trees based on concatenated alignments, and to trees produced by other alignment-free methods. The results were consistent with current knowledge about prokaryotic evolution. We assessed differences in tree topology over different methods and settings and found that the majority of bacteria and archaea have a core set of proteins that evolves by descent. In trees built from complete genomes rather than sets of core genes, we observed some grouping by phenotype rather than phylogeny, for instance with a cluster of sulfur-reducing thermophilic bacteria coming together irrespective of their phyla. The source-code for SlopeTree is available at: http://prodata.swmed.edu/download/pub/slopetree_v1/slopetree.tar.gz.     

Relationships between nitrogen cycling microbial community abundance and composition reveal the indirect effect of soil pH on oak decline

Tree decline is a global concern and the primary cause is often unknown. Complex interactions between fluctuations in nitrogen (N) and acidifying compounds have been proposed as factors causing nutrient imbalances and decreasing stress tolerance of oak trees. Microorganisms are crucial in regulating soil N available to plants, yet little is known about the relationships between soil N-cycling and tree health. Here, we combined high-throughput sequencing and qPCR analysis of key nitrification and denitrification genes with soil chemical analyses to characterise ammonia-oxidising bacteria (AOB), archaea (AOA) and denitrifying communities in soils associated with symptomatic (declining) and asymptomatic (apparently healthy) oak trees (Quercus robur and Q. petraea) in the United Kingdom. Asymptomatic trees were associated with a higher abundance of AOB that is driven positively by soil pH. No relationship was found between AOA abundance and tree health. However, AOA abundance was driven by lower concentrations of NH₄⁺, further supporting the idea of AOA favouring lower soil NH₄⁺ concentrations. Denitrifier abundance was influenced primarily by soil C:N ratio, and correlations with AOB regardless of tree health. These findings indicate that amelioration of soil acidification by balancing C:N may affect AOB abundance driving N transformations, reducing stress on declining oak trees.Subject terms: Biogeochemistry, Soil microbiology, Microbial ecology     

Deep Phylogeny��How a Tree Can Help Characterize Early Life on Earth

The Darwinian concept of biological evolution assumes that life on Earth shares a common ancestor. The diversification of this common ancestor through speciation events and vertical transmission of genetic material implies that the classification of life can be illustrated in a tree-like manner, commonly referred to as the Tree of Life. This article describes features of the Tree of Life, such as how the tree has been both pruned and become bushier throughout the past century as our knowledge of biology has expanded. We present current views that the classification of life may be best illustrated as a ring or even a coral with tree-like characteristics. This article also discusses how the organization of the Tree of Life offers clues about ancient life on Earth. In particular, we focus on the environmental conditions and temperature history of Precambrian life and show how chemical, biological, and geological data can converge to better understand this history.

“You know, a tree is a tree.  How many more do you need to look at?”–Ronald Reagan (Governor of California), quoted in the Sacramento Bee, opposing expansion of Redwood National Park, March 3, 1966

The following article addresses a period in life most removed from life’s origins compared with other articles in this collection. The article discusses an advanced form of life that seems to have lived on the order of 3.5–4.0 billion years ago, around the time when life as we know it began to diversify in a Darwinian sense. The life from this geological period is located deep within an illustrated taxonomic tree of life. The hope is that by understanding how early life evolved, we can better understand how life originated. In this sense, the article attempts to travel backwards in time, starting from modern organisms, to understand life’s origin.The Darwinian concept of evolution suggests that all modern life shares a single common ancestor, often referred to as the last universal common ancestor (LUCA). Throughout evolutionary history, this ancestor has for the most part generated descendants as successive bifurcations in a tree-like manner. This so called Tree of Life, and phylogenetics in general provides much of the framework for the field of molecular evolution. Taxonomic trees allow us to better understand relationships and commonalities shared by life. For instance, a tree may tell us whether a trait or phenotype shared between two organisms is the result of shared-common ancestry (termed homologous traits) or whether the trait has evolved multiple times independent of ancestry (analogous traits such as wings).Taxonomic trees can be built using diverse sources of information. These can include morphological and phenotypic data at the macro-level down to DNA and protein sequence data at the micro-level. Ideally, trees built from multiple sources of input have identical taxonomic relationships and branching patterns, and such trees are said to be congruent. In practice, however, trees built from morphological data (say, presence or absence of wings) are often different than a tree built from molecular data (DNA or protein sequences). This requires the biologist to determine which of the two data sets is misleading and/or which taxonomic tree-building algorithm is most appropriate to use for a particular data set. Such an artform is common in the field of molecular evolution because rarely are trees congruent when built from two sources of input data.In light of this fact, we have provided the quote at the beginning of this article as a reflection about the field of molecular evolution and its interpretations of taxonomic trees. Although Reagan was not speaking about taxonomic trees in his quote, the same sort of disconnect exists between evolutionary biologists and molecular biologists (Woese and Goldenfeld 2009), as it did between conservationists and Ronald Reagan. A molecular biologist may be inclined to say that once you have seen one phylogenetic tree, you have seen them all. And in fairness, there is some validity to such a notion because historically a phylogenetic tree could not help a molecular biologist to better describe their system. An evolutionary biologist, however, will argue that individual trees have nuances that can dramatically alter our interpretation of evolutionary processes.We intend to show in this article that not all (taxonomic) trees look similar and describe identical evolutionary scenarios. We will discuss how our concept of the Tree of Life has changed over the past couple of decades, how trees can be interpreted, and what a tree can tell us about early life. In particular, the article will focus on the temperature conditions of early life because this topic has received much attention over the past few years as a direct result of improved DNA sequencing technology and a better understanding of molecular evolutionary processes. We will also describe how trees can be used to guide laboratory experiments in our attempt to understand ancient life. Lastly, we will discuss how phylogenetic trees will serve as the foundation for an “evolutionary synthetic biology” that should allow us to better understand the evolution of cellular pathways, macromolecular machines such as the ribosome, and other emergent properties of early life.     

Phylogenetic trees: visualizing, customizing and detecting incongruence

Summary: TreeIllustrator is a user-friendly application to visualizeand customize phylogenetic trees. It has a broad range of functionsand capabilities, such as dragging of nodes, different treeshapes, zooming and searching capabilities, and support forlarge trees. It acts as a solution that integrates the specificityof visualizing phylogenetic trees and the customization optionsof a drawing program. It also contains a simple and effectivemethod that compares a custom tree with the Tree of Life, bydetecting incongruence. Availability: A free version is available online at http://nexus.ugent.be/geert/ Contact: wim.vancriekinge{at}ugent.be     

Difficult phylogenetic questions: more data, maybe; better methods, certainly

The combination of molecular sequence data and bioinformatics has revolutionized phylogenetic inference over the past decade, vastly increasing the scope of the evolutionary trees that we are able to infer. A recent paper in BMC Biology describing a new phylogenomic pipeline to help automate the inference of evolutionary trees from public sequence databases provides another important tool in our efforts to derive the Tree of Life. See research article: http://www.biomedcentral.com/1741-7007/9/55     

How and Why to Build a Unified Tree of Life

Phylogenetic trees are a crucial backbone for a wide breadth of biological research spanning systematics, organismal biology, ecology, and medicine. In 2015, the Open Tree of Life project published a first draft of a comprehensive tree of life, summarizing digitally available taxonomic and phylogenetic knowledge. This paper reviews, investigates, and addresses the following questions as a follow‐up to that paper, from the perspective of researchers involved in building this summary of the tree of life: Is there a tree of life and should we reconstruct it? Is available data sufficient to reconstruct the tree of life? Do we have access to phylogenetic inferences in usable form? Can we combine different phylogenetic estimates across the tree of life? And finally, what is the future of understanding the tree of life?

     

蓝藻群体颗粒驱动元素地球化学循环研究进展

在天然淡水和半咸水水体中,水华蓝藻常以群体颗粒的形态存在。在蓝藻群体颗粒中聚集着大量异养细菌,和蓝藻共同构成了具有独特生态功能的基本单元。与蓝藻单体细胞相比,蓝藻群体颗粒呈现出许多独有的特性,如内部丰富的有机质、急剧的氧化还原梯度、密切的种间互作关系等等。这些特质使得蓝藻群体颗粒在水体中成为元素地球化学循环的反应热点。同时,在蓝藻群体颗粒中也存在着远比单细胞藻类-浮游细菌之间更为密切的种间互作。本综述围绕蓝藻群体颗粒的这些特点,结合当前的研究进展,重点阐述蓝藻群体颗粒中的生物、生理、化学过程,讨论其驱动宏观生态现象的微观机制。未来蓝藻群体颗粒组学研究和多组学微生态数据库的构建或成为探索蓝藻群体颗粒中生命过程及揭示蓝藻水华暴发机制的突破口之一。     

Naming diversity in an evolutionary context: Phylogenetic definitions of the Roucela clade (Campanulaceae/Campanuloideae) and the cryptic taxa within

In recent times, evolution has become a central tenet of taxonomy, but nomenclature has consistently been decoupled from the tree‐thinking process, often leading to significant issues in reconciling traditional (Linnaean) names with clades in the Tree of Life. Recent evolutionary studies on the Roucela clade, a group of endemic plants found in the Mediterranean Basin, motivated the establishment of phylogenetic concepts to formally anchor clade names on the Campanuloideae (Campanulaceae) tree. These concepts facilitate communication of clades that approximate traditionally defined groups, in addition to naming newly discovered cryptic diversity in a phylogenetic framework.     

海洋沉积物中几类常见古菌类群的分布与代谢特征

古菌作为海洋微生物的重要组分广泛分布于各种海洋环境,在碳、氮、硫等元素的生物地球化学循环和地球生命演化过程中扮演着极为重要的角色。目前古菌主要分为4个超级门(广古菌、TACK古菌、阿斯加德古菌和DPANN古菌),近30个门类。本文综述了广泛分布于近岸或深渊等海洋沉积环境中的四类常见的古菌类群[深古菌门(Bathyarchaeota)、乌斯古菌门(Woesearchaeota)、阿斯加德(Asgard)古菌超门和底栖古菌目(Thermoprofundales,Marine Benthic Group D)]的分布与代谢特征的研究进展,以期为进一步开展这几类古菌方面的研究提供线索和启示。     

A guide to phylogenetic metrics for conservation,community ecology and macroecology

The use of phylogenies in ecology is increasingly common and has broadened our understanding of biological diversity. Ecological sub‐disciplines, particularly conservation, community ecology and macroecology, all recognize the value of evolutionary relationships but the resulting development of phylogenetic approaches has led to a proliferation of phylogenetic diversity metrics. The use of many metrics across the sub‐disciplines hampers potential meta‐analyses, syntheses, and generalizations of existing results. Further, there is no guide for selecting the appropriate metric for a given question, and different metrics are frequently used to address similar questions. To improve the choice, application, and interpretation of phylo‐diversity metrics, we organize existing metrics by expanding on a unifying framework for phylogenetic information. Generally, questions about phylogenetic relationships within or between assemblages tend to ask three types of question: how much; how different; or how regular? We show that these questions reflect three dimensions of a phylogenetic tree: richness, divergence, and regularity. We classify 70 existing phylo‐diversity metrics based on their mathematical form within these three dimensions and identify ‘anchor’ representatives: for α‐diversity metrics these are PD (Faith's phylogenetic diversity), MPD (mean pairwise distance), and VPD (variation of pairwise distances). By analysing mathematical formulae and using simulations, we use this framework to identify metrics that mix dimensions, and we provide a guide to choosing and using the most appropriate metrics. We show that metric choice requires connecting the research question with the correct dimension of the framework and that there are logical approaches to selecting and interpreting metrics. The guide outlined herein will help researchers navigate the current jungle of indices.     

Comparative analysis of the complete mitochondrial genomes of three rockfishes (Scorpaeniformes,Sebastiscus) and insights into the phylogenetic relationships of Sebastidae

Mitochondrial genome is a powerful molecule marker to provide information for phylogenetic relationships and revealing molecular evolution in ichthyological studies. Sebastiscus species, a marine rockfish, are of essential economic value. However, the taxonomic status and phylogenetic relationships of Sebastidae have been controversial so far. Here, the mitochondrial genomes (mitogenomes) of three species, S. tertius, S. albofasciatus, and S. marmoratus, were systemically investigated. The lengths of the mitogenomes’ sequences of S. tertius, S. albofasciatus, and S. marmoratus were 16910, 17056, and 17580 bp, respectively. It contained 13 protein-coding genes (PCGs), two ribosomal RNAs (rRNAs), 22 transfer RNA (tRNA) genes, and one identical control region (D-loop) among the three species. The genetic distance and K_a/K_s ratio analyses indicated 13 PCGs were suffering purifying selection and the selection pressures were different from certain deep-sea fishes, which were most likely due to the difference in their living environment. The phylogenetic tree was constructed by Bayesian Inference (BI) and Maximum Likelihood (ML). Most interestingly, the results indicated that Sebastidae and Scorpaenidae were grouped into a separate branch, so the taxonomic status of Sebastidae should be classified into subfamily Sebastinae. Our results may lead to a taxonomic revision of Scorpaenoidei.     

DISCORDANCE BETWEEN NUCLEAR AND CHLOROPLAST PHYLOGENIES IN THE HEUCHERA GROUP (SAXIFRAGACEAE)

Various factors, including taxon density, sampling error, convergence, and heterogeneity of evolutionary rates, can potentially lead to incongruence between phylogenetic trees based on different genomes. Particularly at the generic level and below, chloroplast capture resulting from hybridization may distort organismal relationships in phylogenetic analyses based on the chloroplast genome, or genes included therein. However, the extent of such discord between chloroplast DNA (cpDNA) trees and those trees based on nuclear genes has rarely been assessed. We therefore used sequences of the internal transcribed spacer regions (ITS-1 and ITS-2) of nuclear ribosomal DNA (rDNA) to reconstruct phylogenetic relationships among members of the Heuchera group of genera (Saxifragaceae). The Heuchera group presents an important model for the analysis of chloroplast capture and its impact on phylogenetic reconstruction because hybridization is well documented within genera (e.g., Heuchera), and intergeneric hybrids involving six of the nine genera have been reported. An earlier study provided a well-resolved phylogenetic hypothesis for the Heuchera group based on cpDNA restriction-site variation. However, trees based on ITS sequences are discordant with the cpDNA-based tree. Evidence from both morphology and nuclear-encoded allozymes is consistent with the ITS trees, rather than the cpDNA tree, and several points of phylogenetic discord can clearly be attributed to chloroplast capture. Comparison of the organellar and ITS trees also raises the strong likelihood that ancient events of chloroplast capture occurred between lineages during the early diversification of the Heuchera group. Thus, despite the many advantages and widespread use of cpDNA data in phylogeny reconstruction, comparison of relationships based on cpDNA and ITS sequences for the Heuchera group underscores the need for caution in the use of organellar variation for retrieving phylogeny at lower taxonomic levels, particularly in groups noted for hybridization.     

Why Trees Are Important

The Tree of Life is the result of the interplay of changes in information and speciation. Almost 100 years after publication of Darwin’s Origin, the inception of Phylogenetic Systematics has resulted in a revolution in data inference. I briefly trace the development of this revolution and show examples of how data are interpreted relative to phylogenetic trees. I then provide brief discussions of how to read tree diagrams and the need to access the quality of phylogenetic inference.     

TREEasy: An automated workflow to infer gene trees,species trees,and phylogenetic networks from multilocus data

Multilocus genomic data sets can be used to infer a rich set of information about the evolutionary history of a lineage, including gene trees, species trees, and phylogenetic networks. However, user‐friendly tools to run such integrated analyses are lacking, and workflows often require tedious reformatting and handling time to shepherd data through a series of individual programs. Here, we present a tool written in Python—TREEasy—that performs automated sequence alignment (with MAFFT), gene tree inference (with IQ‐Tree), species inference from concatenated data (with IQ‐Tree and RaxML‐NG), species tree inference from gene trees (with ASTRAL, MP‐EST, and STELLS2), and phylogenetic network inference (with SNaQ and PhyloNet). The tool only requires FASTA files and nine parameters as inputs. The tool can be run as command line or through a Graphical User Interface (GUI). As examples, we reproduced a recent analysis of staghorn coral evolution, and performed a new analysis on the evolution of the “WGD clade” of yeast. The latter revealed novel patterns that were not identified by previous analyses. TREEasy represents a reliable and simple tool to accelerate research in systematic biology ( https://github.com/MaoYafei/TREEasy ).     

Plastome phylogenomics and phylogenetic diversity of endangered and threatened grassland species (Poaceae) in a North American tallgrass prairie

Native grasslands are one of the most endangered ecosystems in North America. In this study, we examined the ecological and evolutionary roles of endangered and threatened (e/t) grasses by establishing robust evolutionary relationships with other nonthreatened native and introduced grass species of the community. We hypothesized that the phylogenomic distribution of e/t species of grasses in Illinois would be phylogenetically clustered because closely related species would be vulnerable to the same threats and have similar requirements for survival. This study presents the first time a phylogeny based on complete plastome DNA of Poaceae was analyzed by phylogenetic diversity analysis. To avoid the disturbance of e/t populations, DNA was extracted from herbarium specimens. Next‐generation sequencing (NGS) techniques were used to sequence DNA of plastid genomes (plastomes). The resulting phylogenomic tree was analyzed by phylogenetic diversity metrics. The extracted DNA successfully produced complete plastomes demonstrating that herbarium material is a practical source of DNA for genomic studies. The phylogenomic tree was strongly supported and defined Dichanthelium as a separate clade from Panicum. The phylogenetic metrics revealed phylogenetic clustering of e/t species, confirming our hypothesis.     

微生物暗物质分离培养——以CPR和DPANN类群为例

候选门级辐射类群(candidate phyla radiation, CPR)细菌和DPANN超门古菌是重要的微生物暗物质，约占地球细菌和古菌多样性的一半。目前对于CPR和DPANN的研究处于起步阶段，仅获得了少数的实验室培养菌株，代表着丰富的菌种资源和基因资源的潜力；同时其生态功能还未知，预示着未来新发现的巨大机遇。本文在总结现有微生物分离培养方法以及CPR和DPANN菌株共性特征的基础上，对已实现实验室培养的CPR和DPANN菌株进行归纳和分析，提出该类群菌株分离培养的几点建议，以期为今后对该类群菌株的分离培养提供参考。CPR细菌和DPANN古菌的可培养研究有助于加深对该类群菌的认识，阐明其生活方式、进化及演变规律并揭示其独特的代谢途径及功能基因，发现新的天然活性产物，具有重要的科学意义及应用价值。     

生命之树及其应用

生命之树的概念由达尔文在1859年提出, 用以反映分类群的亲缘关系和进化历史。近30年来, 随着建树性状种类的多样化、数据量的快速增长以及建树方法的不断发展和完善, 生命之树的规模越来越大, 可信度也越来越高。分子生物学、生态学、基因组学、生物信息学及计算机科学等的快速发展, 使得生命之树成为开展学科间交叉研究的桥梁, 其用途日益广泛。本文综述了生命之树研究的历史和现状, 介绍了生命之树在以下几个方面的应用: (1)通过构建不同尺度的生命之树, 理解生物类群间的系统发育关系; (2)通过时间估算和地理分布区重建, 推测现存生物的起源和地理分布格局及其成因; (3)基于时间树, 结合生态、环境因子及关键创新性状, 探讨生物的多样化进程和成因; (4)揭示生物多样性的来源和格局, 预测生物多样性动态变化, 并提出相应的保护策略。最后, 本文评估了生命之树在目前海量数据情况下遇到的序列比对困难、基因树冲突、“流浪类群”干扰等建树难题, 并指出了构建“超大树”的发展趋势。     

Archaea in boreal Swedish lakes are diverse,dominated by Woesearchaeota and follow deterministic community assembly

Despite their key role in biogeochemical processes, particularly the methane cycle, archaea are widely underrepresented in molecular surveys because of their lower abundance compared with bacteria and eukaryotes. Here, we use parallel high-resolution small subunit rRNA gene sequencing to explore archaeal diversity in 109 Swedish lakes and correlate archaeal community assembly mechanisms to large-scale latitudinal, climatic (nemoral to arctic) and nutrient (oligotrophic to eutrophic) gradients. Sequencing with universal primers showed the contribution of archaea was on average 0.8% but increased up to 1.5% of the three domains in forest lakes. Archaea-specific sequencing revealed that freshwater archaeal diversity could be partly explained by lake variables associated with nutrient status. Combined with deterministic co-occurrence patterns this finding suggests that ecological drift is overridden by environmental sorting, as well as other deterministic processes such as biogeographic and evolutionary history, leading to lake-specific archaeal biodiversity. Acetoclastic, hydrogenotrophic and methylotrophic methanogens as well as ammonia-oxidizing archaea were frequently detected across the lakes. Archaea-specific sequencing also revealed representatives of Woesearchaeota and other phyla of the DPANN superphylum. This study adds to our understanding of the ecological range of key archaea in freshwaters and links these taxa to hypotheses about processes governing biogeochemical cycles in lakes.