Hair follicle stem cell cultures reveal self‐organizing plasticity of stem cells and their progeny

Understanding how complex tissues are formed, maintained, and regenerated through local growth, differentiation, and remodeling requires knowledge on how single‐cell behaviors are coordinated on the population level. The self‐renewing hair follicle, maintained by a distinct stem cell population, represents an excellent paradigm to address this question. A major obstacle in mechanistic understanding of hair follicle stem cell (HFSC) regulation has been the lack of a culture system that recapitulates HFSC behavior while allowing their precise monitoring and manipulation. Here, we establish an in vitro culture system based on a 3D extracellular matrix environment and defined soluble factors, which for the first time allows expansion and long‐term maintenance of murine multipotent HFSCs in the absence of heterologous cell types. Strikingly, this scheme promotes de novo generation of HFSCs from non‐HFSCs and vice versa in a dynamic self‐organizing process. This bidirectional interconversion of HFSCs and their progeny drives the system into a population equilibrium state. Our study uncovers regulatory dynamics by which phenotypic plasticity of cells drives population‐level homeostasis within a niche, and provides a discovery tool for studies on adult stem cell fate.     

Biogeographical patterns of bacterial and archaeal communities from distant hypersaline environments

Microorganisms are globally distributed but new evidence shows that the microbial structure of their communities can vary due to geographical location and environmental parameters. In this study, 50 samples including brines and sediments from Europe, Spanish-Atlantic and South America were analysed by applying the operational phylogenetic unit (OPU) approach in order to understand whether microbial community structures in hypersaline environments exhibited biogeographical patterns. The fine-tuned identification of approximately 1000 OPUs (almost equivalent to “species”) using multivariate analysis revealed regionally distinct taxa compositions. This segregation was more diffuse at the genus level and pointed to a phylogenetic and metabolic redundancy at the higher taxa level, where their different species acquired distinct advantages related to the regional physicochemical idiosyncrasies. The presence of previously undescribed groups was also shown in these environments, such as Parcubacteria, or members of Nanohaloarchaeota in anaerobic hypersaline sediments. Finally, an important OPU overlap was observed between anoxic sediments and their overlaying brines, indicating versatile metabolism for the pelagic organisms.     

Scale‐dependent longitudinal patterns in mussel communities

1. Species richness and assemblage patterns of organisms are dictated by numerous factors, probably operating at multiple scales. Freshwater mussels (Unionidae) are an endangered, speciose faunal group, making them an interesting model system to study the influence of landscape features on organisms. In addition, landscape features that influence species distributions and the scale at which the factors have the greatest impact are important issues that need to be answered to conserve freshwater mussels. 2. In this study, we quantified freshwater mussel communities at 16 sites along three mid‐sized rivers in the south‐central United States. We addressed the following questions: (i) Are there predictable longitudinal changes in mussel community composition? (ii) What landscape variables best explain shifts in community composition? and (iii) At what scale do landscape variables best predict mussel community composition? 3. After controlling for the influence of longitudinal position along the stream, we compared mussel distributions to a suite of hypothesised explanatory landscape variables across multiple scales – catchment scale (entire drainage area), buffer scale (100‐m riparian buffer of the entire catchment) and reach scale (100‐m riparian buffer extending 1 km upstream from the sampling site). 4. We found a significant and consistent longitudinal shift in dominant mussel species across all three rivers, with community composition strongly related to distance from the headwaters, which is highly correlated with stream size. After accounting for stream size, variables at the buffer scale were the best predictors of mussel community composition. After accounting for catchment position, mean channel slope was the best explanatory variable of community composition and appeared in all top candidate models at the catchment and buffer scales. Coverage of wetland and urban area were also correlated with community composition at the catchment and buffer scales. 5. Our results suggest that landscape‐scale habitat factors influence mussel community composition. Landscape features at the buffer scale performed best at determining community composition after accounting for position in the catchment; thus, further protection of riparian buffers will help to conserve mussel communities.     

Two stochastic processes shape diverse senescence patterns in a single‐cell organism

Despite advances in aging research, a multitude of aging models, and empirical evidence for diverse senescence patterns, understanding of the biological processes that shape senescence is lacking. We show that senescence of an isogenic Escherichia coli bacterial population results from two stochastic processes. The first process is a random deterioration process within the cell, such as generated by random accumulation of damage. This primary process leads to an exponential increase in mortality early in life followed by a late age mortality plateau. The second process relates to the stochastic asymmetric transmission at cell fission of an unknown factor that influences mortality. This secondary process explains the difference between the classical mortality plateaus detected for young mothers’ offspring and the near nonsenescence of old mothers’ offspring as well as the lack of a mother–offspring correlation in age at death. We observed that lifespan is predominantly determined by underlying stochastic stage dynamics. Surprisingly, our findings support models developed for metazoans that base their arguments on stage‐specific actions of alleles to understand the evolution of senescence. We call for exploration of similar stochastic influences that shape aging patterns beyond simple organisms.     

Characterization of phytoplankton assemblages in a tropical coastal environment using Kohonen self‐organizing map

This study was aimed at understanding the main abiotic environmental factors controlling the distribution patterns of abundance and composition of phytoplankton (size less than 10 μm) assemblages in the coastal waters of south‐eastern Côte d'Ivoire. Data were collected during two cruises, in January (low‐water period) and October (high‐water period) of 2014. A total of 67 species were identified and assigned to Bacillariophyceae (49%), Cyanophyceae (21%), Chlorophyceae (13%), Euglenophyceae (10%), Dinophyceae (4%) and Chrysophyceae (3%). Three biotic zones (I, IIA and IIB) were distinguishable on a Kohonen self‐organizing map after an unsupervised learning process. The diatom genera Eunotia sp., Navicula sp. and Actinoptychus senarius are significantly associated with I, IIA and IIB biotic zones, respectively. A clear seasonal cum salinity trend was apparent in phytoplankton distribution patterns. Turbidity and nitrate levels were the main abiotic factors controlling phytoplankton distribution in I, the upland tidal regions of the lagoon. In regions along the lagoon–sea continuum, phosphate and turbidity exert the most control during the low‐water season (IIA), while total dissolved solids control phytoplankton distribution during the high‐water season (IIB). These are climate‐sensitive parameters whose concentrations depend on prevailing hydroclimatic processes. Therefore, seasonality can have important consequences on phytoplankton community and inadvertently the productivity of these systems.     

Metacommunity‐scale biodiversity regulation and the self‐organised emergence of macroecological patterns

There exist a number of key macroecological patterns whose ubiquity suggests that the spatio‐temporal structure of ecological communities is governed by some universal mechanisms. The nature of these mechanisms, however, remains poorly understood. Here, we probe spatio‐temporal patterns in species richness and community composition using a simple metacommunity assembly model. Despite making no a priori assumptions regarding biotic spatial structure or the distribution of biomass across species, model metacommunities self‐organise to reproduce well‐documented patterns including characteristic species abundance distributions, range size distributions and species area relations. Also in agreement with observations, species richness in our model attains an equilibrium despite continuous species turnover. Crucially, it is in the neighbourhood of the equilibrium that we observe the emergence of these key macroecological patterns. Biodiversity equilibria in models occur due to the onset of ecological structural instability, a population‐dynamical mechanism. This strongly suggests a causal link between local community processes and macroecological phenomena.     

Environmental modulation of self‐organized periodic vegetation patterns in Sudan

Spatially periodic vegetation patterns in arid to semi‐arid regions have inspired numerous mechanistic models in the last decade. All embody a common principle of self‐organization and make concordant, hence robust, predictions on how environmental factors may modulate the morphological properties of these patterns. Such an array of predictions still needs to be corroborated by synchronic and diachronic field observations on a large scale. Using Fourier‐based texture analysis of satellite imagery, we objectively categorized the typical morphologies of periodic patterns and their characteristic scales (wavelength) over extensive areas in Sudan. We then analyzed the environmental domain and the modulation of patterns morphologies at different dates to test the theoretical predictions within a single synthetic and quantitative study. Our results show that, below a critical slope gradient which depends on the aridity level, pattern morphologies vary in space in relation to the decrease of mean annual rainfall in a sequence consistent with the predictions of self‐organization models: gaps, labyrinths and spots with increasing wavelengths. Moreover, the same dynamical sequence was observed over time during the Sahelian droughts of the 1970s and 1980s. For a given morphology, the effect of aridity is to increase the pattern wavelength. Above the critical slope gradient, we observed a pattern of parallel bands oriented along the contour lines (the so called tiger‐bush). The wavelength of these bands displayed a loose inverse correlation with the slope. These results highlight the pertinence of self‐organization theory to explain and possibly predict the dynamics of these threatened ecosystems.     

Spatial patterns of self‐recruitment of a coral reef fish in relation to island‐scale retention mechanisms

Oceanographic features influence the transport and delivery of marine larvae, and physical retention mechanisms, such as eddies, can enhance self‐recruitment (i.e. the return of larvae to their natal population). Knowledge of exact locations of hatching (origin) and settlement (arrival) of larvae of reef animals provides a means to compare observed patterns of self‐recruitment ‘connectivity’ with those expected from water circulation patterns. Using parentage inference based on multiple sampling years in Moorea, French Polynesia, we describe spatial and temporal variation in self‐recruitment of the anemonefish Amphiprion chrysopterus, evaluate the consistency of net dispersal distances of self‐recruits against the null expectation of passive particle dispersal and test the hypothesis that larvae originating in certain reef habitats (lagoons and passes) would be retained and thus more likely to self‐recruit than those originating on the outer (fore) reef. Estimates of known self‐recruitment were consistent across the sampling years (~25–27% of sampled recruits). For most (88%) of these self‐recruits, the net distance between hatching and settlement locations was within the maximum dispersal distance expected for a neutrally buoyant passive particle based on the longest duration of the larval dispersive phase and the average direction and speed of current flow around Moorea. Furthermore, a parent of a given body size on the outer (fore) reef of Moorea was less likely to produce self‐recruits than those in passes. Our findings show that even a simple dispersal model based on net average flow and direction of alongshore currents can provide insight into landscape‐scale retention patterns of reef fishes.     

Structural divergence of bacterial communities from functionally similar laboratory‐scale vermicomposts assessed by PCR‐CE‐SSCP

Aims: To evaluate bacterial community structure and dynamics in triplicate vermicomposts made from the same start‐up material, along with certain physico‐chemical changes. Methods and Results: The physico‐chemical parameters (pH, temperature, carbon, nitrogen, soluble substances and cellulose) evolved similarly in the triplicate vermicomposts, indicating a steady function. The 16S bacterial gene abundance remained constant over time. To monitor changes in the bacterial community structure, fingerprinting based on capillary electrophoresis single‐strand conformation polymorphism was employed. A rise in bacterial diversity occurred after precomposting and it remained stable during the maturation phase. However, a rapid shift in the structure of the bacterial community in the vermicompost replicates was noted at the beginning that stabilized with the process maturation. Multivariate analyses showed different patterns of bacterial community evolution in each vermicompost that did not correlate with the physico‐chemical changes. Conclusions: The broad‐scale functions remained similar in the triplicates, with stable bacterial abundance and diversity despite fluctuation in the community structure. Significance and Impact of the Study: This study has demonstrated that microbial fingerprinting with multivariate analysis can provide significant understanding of community structure and also clearly suggests that an ecosystem’s efficacy could be the outcome of functional redundancy whereby a number of species carry out the same function.     

rRNA‐based analysis to monitor succession of faecal bacterial communities in Holstein calves

Aims: To quantitatively analyse the faecal bacterial communities of Holstein calves and track their succession up to 12 weeks of age. Methods and Results: Faecal samples obtained from four female Holstein calves were analysed by the RNA‐based, sequence‐specific rRNA cleavage method. Twelve scissor probes covering major rumen bacterial groups were used, detecting c. 60–90% of the total 16S rRNAs. At 1 week of age, 16S rRNAs from members of the Bacteroides‐Prevotella group (40·0% of the total 16S rRNAs), Faecalibacterium (21·7%), the Clostridium coccoides–Eubacterium rectale group (16·7%) and the Atopobium cluster (10·9%) were detected at high levels. Throughout the 12‐week period, rRNAs of the Bacteroides‐Prevotella and the Cl. coccoides‐Eu. rectale groups constituted the major fraction of microbiota (c. 50–70% of the total). The relative abundances of the Atopobium cluster, Faecalibacterium, and some probiotic bacteria (such as those of the genera Lactobacillus and Bifidobacterium) decreased as the animal aged. Instead, an uncultivated rumen bacterial group, as well as Ruminococcus flavefaciens and Fibrobacter emerged at the detectable levels (1–2%) in the faeces sampled at a postweaning age. In addition, certain bacterial groups that were not covered by the probe suite increased as the animals aged. Conclusions: Young calves undergo dynamic changes in their intestinal bacterial community during the first 12 weeks of life. As young ruminants undergo metabolic and physiological development in their digestive tracts in the transition from a monogastric to a ruminant animal at an early age, the intestinal bacterial community may reflect such development. Significance and Impact of the Study: The succession of the bacterial communities in the faeces of calves was quantitatively monitored in the present study for the first time. The approach used here was demonstrated to be a useful means for determining the populations of predominant faecal bacterial groups in a variety of calf experiments in response to diet, stress and disease.     

Taxonomic and functional diversity of atrazine‐degrading bacterial communities enriched from agrochemical factory soil

Aims: To characterize atrazine‐degrading potential of bacterial communities enriched from agrochemical factory soil by analysing diversity and organization of catabolic genes. Methods and Results: The bacterial communities enriched from three different sites of varying atrazine contamination mineralized 65–80% of ¹⁴C ring‐labelled atrazine. The presence of trzN‐atzBC‐trzD, trzN‐atzABC‐trzD and trzN‐atzABCDEF‐trzD gene combinations was determined by PCR. In all enriched communities, trzN‐atzBC genes were located on a 165‐kb plasmid, while atzBC or atzC genes were located on separated plasmids. Quantitative PCR revealed that catabolic genes were present in up to 4% of the community. Restriction analysis of 16S rDNA clone libraries of the three enrichments revealed marked differences in microbial community structure and diversity. Sequencing of selected clones identified members belonging to Proteobacteria (α‐, β‐ and γ‐subclasses), the Actinobacteria, Bacteroidetes and TM7 division. Several 16S rRNA gene sequences were closely related to atrazine‐degrading community members previously isolated from the same contaminated site. Conclusions: The enriched communities represent a complex and diverse bacterial associations displaying heterogeneity of catabolic genes and their functional redundancies at the first steps of the upper and lower atrazine‐catabolic pathway. The presence of catabolic genes in small proportion suggests that only a subset of the community has the capacity to catabolize atrazine. Significance and Impact of the Study: This study provides insights into the genetic specificity and the repertoire of catabolic genes within bacterial communities originating from soils exposed to long‐term contamination by s‐triazine compounds.     

Phylogenetic diversity of gene sequences isolated from the rumen as analysed using a self‐organizing map (SOM)

Aims: To determine the origins of DNA sequences isolated from the rumen microbial ecosystem using a self‐organizing map (SOM). Methods and Results: DNA sequences other than 16S small subunit ribosomal RNA (SSU rRNA) gene sequences that were detected from the rumen were analysed by the SOM method reported by Abe et al. [2000, Self‐Organizing Map (SOM) unveils and visualizes hidden sequence characteristics of a wide range of eukaryote genomes. Gene 365, 27–34]. Because query sequences positioned by SOM were scattered on the master drawing of SOM, it was suggested that many DNA sequences isolated from the rumen were collected from a broad range of micro‐organisms. Although the results obtained by SOM were similar to those obtained by the neighbour‐joining (NJ) method, SOM was able to presume the phylotypes of the query sequences without information about the 16S SSU rRNA gene sequences and homology searches, and to reveal existence of novel micro‐organisms deduced to be cellulolytic bacteria, archaea and methanotrophic bacterium. Conclusions: As the SOM method defined phylotypes of unreported rumen micro‐organisms, it is presumed that these phylotypes would be involved in rumen fermentation in cooperation with known rumen micro‐organisms. Moreover, it is demonstrated that SOM is a useful tool for affiliating DNA sequences, which have no matches in databases. Significance and Impact of Study: Through SOM analysis, a better means of identifying rumen micro‐organisms and estimating their roles in rumen function was provided.     

Putting self‐organization to the test: labyrinthine patterns as optimal solution for persistence

Spatial patterns formed through the process of self‐organization are found in nature across a variety of ecosystems. Pattern formation may reduce the costs of competition while maximizing the benefits of group living, and thus promote ecosystem persistence. This leads to the prediction that self‐organizing to obtain locally intermediate densities will be the optimal solution to balance costs and benefits. However, despite much evidence documenting pattern formation in natural ecosystems, there is limited empirical evidence of how these patterns both influence and are influenced by tradeoffs between costs and benefits. Using mussels as a model system, we coupled field observations in mussel‐culture plots with manipulative laboratory experiments to address the following hypotheses: 1) labyrinthine spatial patterns, characteristically found at intermediate to high patch densities, are the most persistent over time; this is because labyrinthine patterns 2) result in adequately heavy patches that can maximize resistance to dislodgement while 3) increasing water turbulence with spacing, which will maximize food delivery processes. In the field, we observed that labyrinthine ‘stripes’ patterns are indeed the most persistent over time, confirming our first hypothesis. Furthermore, with laboratory experiments, we found the ‘stripes’ pattern to be highly resistant to dislodgement, confirming the second hypothesis. Finally, with regards to the third hypothesis, we found positive effects of this pattern on local turbulence. These results suggest that the mechanisms of intraspecific facilitation not only depend on initial organism densities, but may also be influenced by spatial patterning. We hence recommend taking into account spatial patterns to maximize productivity and persistence in shellfish‐cultivation practices and to increase the restoration success of ecosystems with self‐organizing properties.