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Current Opinion in Microbiology Apr 2024Streptomyces are a large genus of multicellular bacteria best known for their prolific production of bioactive natural products. In addition, they play key roles in the... (Review)
Review
Streptomyces are a large genus of multicellular bacteria best known for their prolific production of bioactive natural products. In addition, they play key roles in the mineralisation of insoluble resources, such as chitin and cellulose. Because of their multicellular mode of growth, colonies of interconnected hyphae extend over a large area that may experience different conditions in different parts of the colony. Here, we argue that within-colony phenotypic heterogeneity can allow colonies to simultaneously respond to divergent inputs from resources or competitors that are spatially and temporally dynamic. We discuss causal drivers of heterogeneity, including competitors, precursor availability, metabolic diversity and division of labour, that facilitate divergent phenotypes within Streptomyces colonies. We discuss the adaptive causes and consequences of within-colony heterogeneity, highlight current knowledge (gaps) and outline key questions for future studies.
Topics: Streptomyces; Phenotype
PubMed: 38447313
DOI: 10.1016/j.mib.2024.102448 -
Gene Nov 2023The TBL1XR1 gene encodes the protein transducin-beta-like 1 receptor1, widely distributed in the pituitary, hypothalamus, white and brown adipose tissue, muscle, and... (Review)
Review
BACKGROUND
The TBL1XR1 gene encodes the protein transducin-beta-like 1 receptor1, widely distributed in the pituitary, hypothalamus, white and brown adipose tissue, muscle, and liver. Current evidence suggests that heterozygous TBL1XR1 pathogenic variants can lead to a wide spectrum of phenotypes. This study aims to reveal the clinical phenotype and genetic profiles of de novo TBL1XR1 variations and summarize the relevant clinical and genetic features.
METHODS
We analyzed four new cases harboring de novo TBL1XR1 variants and reviewed all reported cases.
RESULTS
All probands suffered from global developmental delay. Moreover, patient 1 exhibited susceptibility to startle, patient 2 had hypovitaminosis D, short stature and hyponatremia, and patients 3 and 4 both presented with ASD (Autism spectrum disorder) and short stature. They all had a de novo TBL1XR1 variant (NM_024665.7), c.1184A > G (p.Tyr395Cys), c.1108G > A (p.Asp370Asn), c.1047 + 1G > C, and c.1097C > T (p.Ser366Phe) respectively. In addition, pooled analysis of 51 cases showed that they had speech impairment (38/39), intellectual developmental disorder (28/28), global developmental delay (42/42), and hypotonia (24/27), and some of them had epilepsy (10/22), ASD (13/25), and developmental regression (4/13).
CONCLUSIONS
We report four new patients with de novo TBL1XR1 variants and provide a comprehensive overview of 47 previously reported individuals with TBL1XR1 variants, enriching the genotypic and phenotypic spectrum of TBL1XR1-related disease. This report further validates the pathogenicity de novo TBL1XR1 variants.
Topics: Humans; Autism Spectrum Disorder; Genotype; Phenotype; Heterozygote; Adipose Tissue, Brown; Repressor Proteins; Receptors, Cytoplasmic and Nuclear
PubMed: 37683765
DOI: 10.1016/j.gene.2023.147777 -
PLoS Computational Biology Nov 2023Phenotype prediction is at the center of many questions in biology. Prediction is often achieved by determining statistical associations between genetic and phenotypic...
Phenotype prediction is at the center of many questions in biology. Prediction is often achieved by determining statistical associations between genetic and phenotypic variation, ignoring the exact processes that cause the phenotype. Here, we present a framework based on genome-scale metabolic reconstructions to reveal the mechanisms behind the associations. We calculated a polygenic score (PGS) that identifies a set of enzymes as predictors of growth, the phenotype. This set arises from the synergy of the functional mode of metabolism in a particular setting and its evolutionary history, and is suitable to infer the phenotype across a variety of conditions. We also find that there is optimal genetic variation for predictability and demonstrate how the linear PGS can still explain phenotypes generated by the underlying nonlinear biochemistry. Therefore, the explicit model interprets the black box statistical associations of the genotype-to-phenotype map and helps to discover what limits the prediction in metabolism.
Topics: Genotype; Phenotype; Genome; Biological Evolution; Multifactorial Inheritance
PubMed: 37948461
DOI: 10.1371/journal.pcbi.1011631 -
Trends in Microbiology Oct 2023Bacteria have evolved a wide array of mechanisms that allow them to eliminate phage infection. 'Abortive infection' (abi) systems are an expanding category of such... (Review)
Review
Bacteria have evolved a wide array of mechanisms that allow them to eliminate phage infection. 'Abortive infection' (abi) systems are an expanding category of such mechanisms, defined as those which induce programmed cell death (or dormancy) upon infection, and thus halt phage propagation within a bacterial population. This definition entails two requirements - a phenotypic observation (cell death upon infection), and a mechanistic determination of its sources (system-induced death). The phenotypic and mechanistic aspects of abi are often implicitly assumed to be tightly linked, and studies regularly tend to establish one and deduce the other. However, recent evidence points to a complicated relationship between the mechanism of defense and the phenotype observed upon infection. We argue that rather than viewing the abi phenotype as an inherent quality of a set of defense systems, it should be more appropriately thought of as an attribute of interactions between specific phages and bacteria under given conditions. Consequently, we also point to potential pitfalls in the prevailing methods for ascertaining the abi phenotype. Overall, we propose an alternative framework for parsing interactions between attacking phages and defending bacteria.
Topics: Bacteriophages; Bacteria; Phenotype
PubMed: 37268559
DOI: 10.1016/j.tim.2023.05.002 -
Clinical Genetics Oct 2023CHARGE syndrome, due to CHD7 pathogenic variations, is an autosomal dominant disorder characterized by a large spectrum of severity. Despite the great number of...
CHARGE syndrome, due to CHD7 pathogenic variations, is an autosomal dominant disorder characterized by a large spectrum of severity. Despite the great number of variations reported, no clear genotype-to-phenotype correlation has been reported. Unsupervised machine learning and clustering was undertaken using a retrospective cohort of 42 patients, after deep radiologic and clinical phenotyping, to establish genotype-phenotype correlation for CHD7-related CHARGE syndrome. It resulted in three clusters showing phenotypes of different severities. While no clear genotype-phenotype correlation appeared within the first two clusters, a single patient was outlying the cohort data (cluster 3) with the most atypical phenotype and the most distal frameshift variant in the gene. We added two other patients with similar distal pathogenic variants and observed a tendency toward mild and/or atypical phenotypes. We hypothesized that this finding could potentially be related to escaping nonsense mediated RNA decay, but found no evidence of such decay in vivo for any of the CHD7 pathogenic variation tested. This indicates that this milder phenotype may rather result from the production of a protein retaining all functional domains.
Topics: Humans; CHARGE Syndrome; Retrospective Studies; Phenotype; Genetic Association Studies; Genotype; Mutation
PubMed: 37243350
DOI: 10.1111/cge.14363 -
Science Advances Sep 2023Fermentation is a type of metabolism pervasive in oxygen-deprived environments. Despite its importance, we know little about the range and traits of organisms that carry...
Fermentation is a type of metabolism pervasive in oxygen-deprived environments. Despite its importance, we know little about the range and traits of organisms that carry out this metabolism. Our study addresses this gap with a comprehensive analysis of the phenotype and genotype of fermentative prokaryotes. We assembled a dataset with phenotypic records of 8350 organisms plus 4355 genomes and 13.6 million genes. Our analysis reveals fermentation is both widespread (in ~30% of prokaryotes) and complex (forming ~300 combinations of metabolites). Furthermore, it points to previously uncharacterized proteins involved in this metabolism. Previous studies suggest that metabolic pathways for fermentation are well understood, but metabolic models built in our study show gaps in our knowledge. This study demonstrates the complexity of fermentation while showing that there is still much to learn about this metabolism. All resources in our study can be explored by the scientific community with an online, interactive tool.
Topics: Fermentation; Genotype; Phenotype; Metabolic Networks and Pathways
PubMed: 37756392
DOI: 10.1126/sciadv.adg8687 -
International Journal of Molecular... Jul 2023Vascular smooth muscle cells (VSMCs) are the predominant cell type in the medial layer of the aorta, which plays a critical role in the maintenance of aortic wall... (Review)
Review
Vascular smooth muscle cells (VSMCs) are the predominant cell type in the medial layer of the aorta, which plays a critical role in the maintenance of aortic wall integrity. VSMCs have been suggested to have contractile and synthetic phenotypes and undergo phenotypic switching to contribute to the deteriorating aortic wall structure. Recently, the unprecedented heterogeneity and diversity of VSMCs and their complex relationship to aortic aneurysms (AAs) have been revealed by high-resolution research methods, such as lineage tracing and single-cell RNA sequencing. The aortic wall consists of VSMCs from different embryonic origins that respond unevenly to genetic defects that directly or indirectly regulate VSMC contractile phenotype. This difference predisposes to hereditary AAs in the aortic root and ascending aorta. Several VSMC phenotypes with different functions, for example, secreting VSMCs, proliferative VSMCs, mesenchymal stem cell-like VSMCs, immune-related VSMCs, proinflammatory VSMCs, senescent VSMCs, and stressed VSMCs are identified in non-hereditary AAs. The transformation of VSMCs into different phenotypes is an adaptive response to deleterious stimuli but can also trigger pathological remodeling that exacerbates the pathogenesis and development of AAs. This review is intended to contribute to the understanding of VSMC diversity in health and aneurysmal diseases. Papers that give an update on VSMC phenotype diversity in health and aneurysmal disease are summarized and recent insights on the role of VSMCs in AAs are discussed.
Topics: Humans; Muscle, Smooth, Vascular; Cells, Cultured; Aorta; Aortic Aneurysm; Phenotype; Myocytes, Smooth Muscle
PubMed: 37511460
DOI: 10.3390/ijms241411701 -
Journal of Human Hypertension Oct 2023The study characterises vascular phenotypes of hypertensive patients utilising machine learning approaches. Newly diagnosed and treatment-naïve primary hypertensive...
The study characterises vascular phenotypes of hypertensive patients utilising machine learning approaches. Newly diagnosed and treatment-naïve primary hypertensive patients without co-morbidities (aged 18-55, n = 73), and matched normotensive controls (n = 79) were recruited (NCT04015635). Blood pressure (BP) and BP variability were determined using 24 h ambulatory monitoring. Vascular phenotyping included SphygmoCor® measurement of pulse wave velocity (PWV), pulse wave analysis-derived augmentation index (PWA-AIx), and central BP; EndoPAT™-2000® provided reactive hyperaemia index (LnRHI) and augmentation index adjusted to heart rate of 75bpm. Ultrasound was used to analyse flow mediated dilatation and carotid intima-media thickness (CIMT). In addition to standard statistical methods to compare normotensive and hypertensive groups, machine learning techniques including biclustering explored hypertensive phenotypic subgroups. We report that arterial stiffness (PWV, PWA-AIx, EndoPAT-2000-derived AI@75) and central pressures were greater in incident hypertension than normotension. Endothelial function, percent nocturnal dip, and CIMT did not differ between groups. The vascular phenotype of white-coat hypertension imitated sustained hypertension with elevated arterial stiffness and central pressure; masked hypertension demonstrating values similar to normotension. Machine learning revealed three distinct hypertension clusters, representing 'arterially stiffened', 'vaso-protected', and 'non-dipper' patients. Key clustering features were nocturnal- and central-BP, percent dipping, and arterial stiffness measures. We conclude that untreated patients with primary hypertension demonstrate early arterial stiffening rather than endothelial dysfunction or CIMT alterations. Phenotypic heterogeneity in nocturnal and central BP, percent dipping, and arterial stiffness observed early in the course of disease may have implications for risk stratification.
Topics: Humans; Carotid Intima-Media Thickness; Pulse Wave Analysis; Blood Pressure Monitoring, Ambulatory; Hypertension; Blood Pressure; Phenotype; Vascular Stiffness
PubMed: 36528682
DOI: 10.1038/s41371-022-00794-7 -
Trends in Ecology & Evolution Jun 2024Trait-based ecology has improved our understanding of the functioning of organisms, communities, ecosystems, and beyond. However, its predictive ability remains limited... (Review)
Review
Trait-based ecology has improved our understanding of the functioning of organisms, communities, ecosystems, and beyond. However, its predictive ability remains limited as long as phenotypic integration and temporal dynamics are not considered. We highlight how the morphogenetic processes that shape the 3D development of a plant during its lifetime affect its performance. We show that the diversity of architectural traits allows us to go beyond organ-level traits in capturing the temporal and spatial dimensions of ecological niches and informing community assembly processes. Overall, we argue that consideration of multilevel topological, geometrical, and ontogenetic features provides a dynamic view of the whole-plant phenotype and a relevant framework for investigating phenotypic integration, plant adaptation and performance, and community structure and dynamics.
Topics: Phenotype; Plants; Ecosystem; Ecology; Plant Development; Plant Physiological Phenomena
PubMed: 38212187
DOI: 10.1016/j.tree.2023.11.011 -
Current Protocols Dec 2023Individuals of European descent have historically been the focus of genetic studies and possess relatively homogenous genomes. As a result, analytical methods have been...
Individuals of European descent have historically been the focus of genetic studies and possess relatively homogenous genomes. As a result, analytical methods have been developed and optimized with such genomes in mind. African-descent and Latino individuals generally possess genomes of greater architectural complexity due to mosaic genomic ancestry, which can extensively and intricately impact phenotypic expression. As such, genetic analyses of admixed individuals require that genetic admixture be quantified to accurately model the impact of genetic variation on phenotypic expression. In this overview, we explore how fundamental genetic concepts such as linkage disequilibrium and differential allele frequency interact with genetic admixture to uniquely influence phenotypes in admixed individuals. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC.
Topics: Humans; Gene Frequency; Genetics, Population; Linkage Disequilibrium; Phenotype; Genome, Human
PubMed: 38146906
DOI: 10.1002/cpz1.953