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Piconewton forces mediate GAIN domain dissociation of the latrophilin-3 adhesion GPCR

Latrophilins are adhesion G-protein coupled receptors (aGPCRs) that control excitatory synapse formation. aGPCRs, including latrophilins, are autoproteolytically cleaved at their GPCR-Autoproteolysis Inducing (GAIN) domain, but the two resulting fragments remain associated on the cell surface. It is thought that force-mediated dissociation of the fragments exposes a peptide that activates G-protein signaling of aGPCRs, but whether GAIN domain dissociation can occur on biologically relevant timescales and at physiological forces is unknown. Here, we show using magnetic tweezers that physiological forces dramatically accelerate the dissociation of the latrophilin-3 GAIN domain. Forces in the 1-10 pN range were sufficient to dissociate the GAIN domain on a seconds-to-minutes timescale, and the GAIN domain fragments reversibly reassociated after dissociation. Thus, mechanical force may be a key driver of latrophilin signaling during synapse formation, suggesting a physiological mechanism by which aGPCRs may mediate mechanically-induced signal transduction.

biophysics↗

Sleep specific changes in infra-slow and respiratory frequency drivers of cortical EEG rhythms

Infra-slow fluctuations (ISFs, 0.008-0.1 Hz) characterize hemodynamic and electric potential signals from the human brain. ISFs are known to correlate with the amplitude dynamics of fast (> 1 Hz) neuronal oscillations, and may arise from permeability fluctuations of the blood-brain barrier (BBB). Slow physiological pulsations such as respiration may also influence the amplitude dynamics of fast oscillations, but it remains uncertain if these processes track the fluctuations of fast cortical oscillations or act as their drivers. Moreover, possible effects of sleep and associated BBB permeability changes on such coupling are unknown. Here, we used non-invasive high-density full-band electroencephalography (EEG) in healthy human volunteers (N=21) to measure concurrently the ISFs, respiratory pulsations, and fast neuronal oscillations during periods of wakefulness and sleep, and to assess the strength and direction of their phase-amplitude coupling. The phases of ISFs and respiration were both coupled with the amplitude of fast neuronal oscillations, with stronger ISF coupling evident during sleep. Causality analysis robustly showed that the phase of ISF and respiration drove the amplitude dynamics of fast oscillations in sleeping and waking states. However, the net direction of modulation was stronger during the awake state, despite the stronger power and phase-amplitude coupling of slow signals during sleep. These findings show that the ISFs in slow cortical potentials and respiration together significantly determine the dynamics of fast cortical oscillations. We propose that these slow physiological phases are involved in coordinating cortical excitability, which is a fundamental aspect of brain function. Significance StatementPreviously disregarded EEG infra-slow fluctuations (0.008-0.1 Hz) and slow physiological pulsations such as respiration have been attracting increasing research interest, which shows that both of these signals correlate with fast (> 1 Hz) neuronal oscillations. However, little has been known about the mechanisms underlying these interactions; for example, the direction of causality in this interaction has not hitherto been studied. Therefore, we investigated full-band EEG in healthy volunteers during wakefulness and sleep to determine if ISF and respiration phases drive neuronal amplitudes. Results showed that ISF and respiration are phase-amplitude coupled, and predict neuronal EEG rhythms. Thus, we conclude that fast neuronal rhythms in human brain are modulated by slower non-neural phenomena.

neuroscience↗

The effects of social experience on host gut microbiome in male zebrafish (Danio rerio)

Although the gut and the brain vastly differ in physiological function, they have been interlinked in a variety of different neurological and behavioral disorders. The bacteria that comprise the gut microbiome communicate and influence the function of various physiological processes within the body including nervous system function. However, the effects of social experience in the context of dominance and chronic stress on gut microbiome remain poorly understood. Here, we examined whether social experience impacts the host zebrafish (Danio rerio) gut microbiome. We studied how social dominance during the first two weeks of social interactions changed the composition of zebrafish gut microbiome by comparing gut bacterial composition, diversity and relative abundance among socially dominant, submissive, social isolates, and control group-housed communal fish. Using amplicon sequencing of the 16S rRNA gene, we report that social dominance significantly affects host gut bacterial community composition but not bacterial diversity. At the genus-level, Aeromonas and unclassified Enterobacteriaceae relative abundance decreased in dominant individuals while commensal bacteria (e.g., Exiguobacterium and Cetobacterium) increased in relative abundance. Conversely, the relative abundance of Psychrobacter and Acinetobacter was increased in subordinates, isolates, and communal fish compared to dominant fish. The shift in commensal and pathogenic bacteria highlights the impact of social experience and the accompanying stress on gut microbiome with potentially similar effects in other social organisms. IMPORTANCEDisruptions in the gut microbiome negatively impact various systems in the body. Recently, the gut microbiome has been associated with neurological deficits in both behavioral and neurodegenerative disorders. Given the increasing prevalence in diagnosis of both neurological disease and behavioral disorders, researching the link between social behaviors and the gut microbiome is critical to better understand how the gut and the brain communicate during healthy and diseased states. Our research findings demonstrate the effects of social dominance and chronic stress on host gut microbiome composition. By identifying variations in bacterial relative abundance based on social experience and associated stress, a broader understanding of pathogenic (e.g., Enterobacteriaceae, Aeromonas) versus commensal communities (e.g., Exiguobacterium, Cetobacterium) and related host physiology can be inferred.

microbiology↗

A Soluble Platelet-Derived Growth Factor Receptor-β Originates via Pre-mRNA Splicing in the Healthy Brain and is Differentially Regulated during Hypoxia and Aging

ABSTRACT/SUMMARYThe platelet-derived growth factor-BB (PDGF-BB) pathway provides critical regulation of cerebrovascular pericytes, orchestrating their investment and retention within the brain microcirculation. Dysregulated PDGF Receptor-beta (PDGFR{beta}) signaling can lead to pericyte defects that compromise blood-brain barrier (BBB) integrity and cerebral perfusion, impairing neuronal activity and viability, which fuels cognitive and memory deficits. Receptor tyrosine kinases (RTKs) like PDGF-BB and vascular endothelial growth factor-A (VEGF-A) are often modulated by soluble isoforms of cognate receptors that establish signaling activity within a physiological range. Soluble PDGFR{beta} (sPDGFR{beta}) isoforms have been reported to form by enzymatic cleavage from cerebrovascular mural cells, and pericytes in particular, largely under pathological conditions. However, pre-mRNA alternative splicing has not been widely explored as a possible mechanism for generating sPDGFR{beta} variants, and specifically during tissue homeostasis. Here, we found sPDGFR{beta} protein in the murine brain and other tissues under normal, physiological conditions. Utilizing brain samples for follow-on analysis, we identified mRNA sequences corresponding to sPDGFR{beta} isoforms, which facilitated construction of predicted protein structures and related amino acid sequences. Human cell lines yielded comparable sequences and protein model predictions. Retention of ligand binding capacity was confirmed for sPDGFR{beta} by co-immunoprecipitation. Visualizing fluorescently labeled sPDGFR{beta} transcripts revealed a spatial distribution corresponding to murine brain pericytes alongside cerebrovascular endothelium. Soluble PDGFR{beta} protein was detected throughout the brain parenchyma in distinct regions such as along the lateral ventricles, with signals also found more broadly adjacent to cerebral microvessels consistent with pericyte labeling. To better understand how sPDGFR{beta} variants might be regulated, we found elevated transcript and protein levels in the murine brain with age, and acute hypoxia increased sPDGFR{beta} variant transcripts in a cell-based model of intact vessels. Our findings indicate that soluble isoforms of PDGFR{beta} likely arise from pre-mRNA alternative splicing, in addition to enzymatic cleavage mechanisms, and these variants exist under normal physiological conditions. Follow-on studies will be needed to establish potential roles for sPDGFR{beta} in regulating PDGF-BB signaling to maintain pericyte quiescence, BBB integrity, and cerebral perfusion - critical processes underlying neuronal health and function, and in turn memory and cognition.

cell biology↗

Evolution of a fatty acyl-CoA elongase underlies desert adaptation in Drosophila

To survive in extreme environments such as hot-arid deserts, desert-dwelling species have evolved physiological traits to withstand the high temperatures and low aridity beyond the physiologically tolerable ranges of most species. Such traits which include reducing water loss have independently evolved in multiple taxa. However, the genetic and evolutionary mechanisms underlying these traits have thus far not been elucidated. Here we show that Drosophila mojavensis, a fruitfly species endemic to the Sonoran and Mojave deserts, had evolved extremely high desiccation resistance, by producing very long chained methylbranched cuticular hydrocarbons (mbCHCs) that contributes to a cuticular waterproofing lipid layer reducing water loss. We show that the ability to synthesize these longer mbCHCs is due to evolutionary changes in a fatty acyl-CoA elongase (mElo). CRISPR/Cas9 knockout of mElo in D. mojavensis led to loss of longer mbCHC production and significant reduction of desiccation resistance at high temperatures but did not affect mortality at high temperatures or desiccating conditions individually, indicating that this gene is crucial for desert adaptation. Phylogenetic analysis showed that mElo is a Drosophila specific gene with no clear ortholog outside Diptera. This suggests that while the physiological mechanisms underlying desert adaptation are general, the genetic mechanisms may be lineage-specific.

evolutionary biology↗

Two dimensions of chemical variation of the human microbiome across body sites and in COVID-19 patients

AbstractWater and oxygen availability vary in normal physiology and disease, so evolutionary adjustments of protein sequences to optimally use these chemical resources would represent a competitive advantage for host-associated microbial genomes. In this study, reference proteomes for taxa derived from the Genome Taxonomy Database (GTDB) were combined with 16S rRNA-based taxonomic abundances in order to calculate chemical metrics for community reference proteomes. This permits new insight into community-level genomic adaptation to specific chemical conditions in body sites. Surprisingly, reference proteomes for gut communities appear to be shaped by the physiological function of water absorption in the intestine more than by reducing conditions. Reference proteomes of gut communities in COVID-19 and inflammatory bowel disease (IBD) patients are generally more reduced than controls despite higher relative abundances of aerotolerant organisms and lower abundances of Faecalibacterium and other obligate anaerobes. The trend of chemical reduction in patients is supported by multi-omics (i.e., metagenomic and metaproteomic) data for COVID-19 and can be attributed to relatively oxidized protein sequences for obligate anaerobes compared to aerotolerant genera in gut communities. Genomic adaptation to transiently oxygenated conditions, reflected in more oxidized protein sequences, may be an evolutionary strategy for obligate anaerobes to compete with aerotolerant organisms in the chemical context of gut inflammation. Impact statementHow host-associated microbes (the microbiota) interact with body chemistry is important for understanding the chemical factors that may contribute to diseases. Although COVID-19 and IBD are associated with oxidative conditions in the gut due to inflammation, protein sequences inferred for microbial communities in patients exhibit a trend of chemical reduction rather than oxidation. This implies an evolutionary strategy for obligate anaerobes to more effectively compete with oxygen-tolerant organisms that might otherwise dominate the gut during inflammation. The genomes of organisms in gut communities are distinguished from those in other body sites by proteins with lower hydration state, suggesting that physiological gradients of water availability are a major driver of the evolution of human microbiota.

microbiology↗

Barley shows reduced Fusarium Head Blight under drought and modular expression of differential expressed genes under combined stress

Plants often face simultaneous abiotic and biotic stress conditions. However, physiological and transcriptional responses of plants under combined stress situations are little understood. Spring barley is susceptible to Fusarium Head Blight (FHB), which is strongly affected by weather conditions. We therefore studied the potential influence of drought on FHB severity and responses in three differently susceptible spring barley varieties and found strongly reduced FHB severity in susceptible varieties under drought. Quantity of differentially expressed genes (DEGs) and strength of transcriptomic regulation reflected the concentration of physiological stress markers such as abscisic acid or fungal DNA contents. Infection-related gene expression associated rather with susceptibility than resistance. Weighted gene correlation network analysis uncovered 18 modules of co-expressed genes, which reflect the pathogen or drought response in the used varieties. A generally infection-related module contained co-expressed genes for defence, programmed cell death and mycotoxin-detoxification indicating that diverse genotypes use a similar defence strategy towards FHB albeit with different success. Further DEGs showed co-expression in drought or genotype-associated modules correlating with measured phytohormones or the osmolyte proline. The combination of drought stress with infection lead to highest numbers of DEGs and provoked a modular composition of single stress responses rather than a specific transcriptional readout. HighlightCo-expression network analysis reveals association of physiological stress markers and gene expression modules under biotic and abiotic stress

plant biology↗

Deep-body feelings: ingestible pills reveal gastric correlates of emotions

Although it is generally held that gastro-intestinal (GI) signals are related to emotions, direct evidence for such a link is currently lacking. One of the reasons why the internal milieu of the GI system is poorly investigated is because visceral organs are difficult to access and monitor. To directly measure the influence of endoluminal markers of GI activity on the emotional experience, we asked a group of healthy male participants to ingest a pill that measured pH, pressure, and temperature of their GI tract while they watched video-clips that consistently induced disgust, fear, happiness, sadness, or a control neutral state. In addition to the objective physiological markers of GI activity, subjective ratings of perceived emotions and visceral (i.e. gastric, respiratory and cardiac) sensations were recorded. We found that when participants observed fearful and disgusting video-clips, they reported to perceive not only cardiac and respiratory sensations but also gastric sensations, such as nausea. Moreover, we found that there was a clear relation between the physiology of the stomach and the perceived emotions. Specifically, when disgusting video-clips were displayed, the more acidic the pH, the more participants reported feelings of disgust and fear; the less acidic the pH, the more they reported happiness. Our findings suggest that gastric signals contribute to unique emotional states and that ingestible pills may open new avenues for exploring the deep-body physiology of emotions.

neuroscience↗

Design and Validation of an Open Loop Controlled Positive-Displacement Pump for Vascular Flow Modelling

Realistic vascular flow-rates are highly patient dependent. There is a need, when evaluating vascular medical devices, to study variable physiological flow-rates corresponding to specific patients. This study presents an experimental analysis of a positive-displacement piston pump designed for generating patient-specific vascular flow-rate wave-forms. Open loop control is used to drive a positive-displacement piston pump according to user-input physiological wave-forms. Transient and frequency analyses are performed for simple and complex inputs. Theoretical analysis of the system shows that it may be modelled as a linear first order system and the response of the system for various inputs shows that the real system approximates a linear first order response, however, higher order effects are noted. These higher order effects do not have any particular detrimental effect on the generation of physiologically realistic flow-rate waveforms.

bioengineering↗

Mucus production, host-microbiome interactions, hormone sensitivity, and innate immune responses modeled in human endo- and ecto-cervix chips

Modulation of mucus production by the human endo- and ecto-cervical epithelium by steroid hormones and associated interactions with commensal microbiome play a central role in the physiology and pathophysiology of the female reproductive tract. However, most of our knowledge about these interactions is based on results from animal studies or in vitro models that fail to faithfully mimic the mucosal environment of the human cervix. Here we describe microfluidic organ-on-a-chip (Organ Chip) models of the human cervical mucosa that recreate the cervical epithelial-stromal interface with a functional epithelial barrier and produce abundant mucus that has compositional, biophysical, and hormone-responsive properties similar to the living cervix. Application of continuous fluid flow to chips lined with primary human cervical epithelial cells from a commercial source that contained a mixture of primary human ecto- and endo-cervical epithelial cells promoted preferential expression of the ecto-cervical phenotype, whereas use of periodic flow including periods of stasis induced endo-cervical specialization. When the periodic flow Cervix Chips were co-cultured with living Lactobacillus crispatus and Gardnerella vaginalis bacterial communities to respectively mimic the effects of human host interactions with optimal (healthy) or non-optimal (dysbiotic) microbiome associated with an ascending infection in the female reproductive tract, significant differences in tissue innate immune responses, barrier function, cell viability and protein profile, and mucus composition were detected reminiscent of those observed in vivo. Thus, these Organ Chip models of human cervix provide a physiologically relevant experimental in vitro model to study cervical mucus physiology and its role in human host-microbiome interactions as well as a potential preclinical testbed for development of therapeutic interventions to enhance womens health.

bioengineering↗

Volume loss and recovery in bovine knee meniscus loaded in circumferential tension

Load-induced volume change is an important aspect of knee meniscus function because volume loss creates fluid pressure, which minimizes friction and helps support compressive loads. The knee meniscus is unusual amongst cartilaginous tissues in that it is loaded not only in axial compression, but also in circumferential tension between its tibial attachments. Despite the physiologic importance of the knee meniscus tensile properties, its volumetric strain in tension has never been directly measured, and predictions of volume strain in the scientific literature are inconsistent. In this study, we apply uniaxial tension to bovine knee meniscus and use biplanar imaging to directly observe the resulting 3D volume change and unloaded recovery, revealing that tension causes volumetric contraction. Compression is already known to also cause contraction; therefore, all major physiologic loads compress and pressurize the meniscus, inducing fluid outflow. Although passive unloaded recovery is often described as slow relative to loaded loss, here we show that at physiologic strains the volume recovery rate in the meniscus upon unloading is faster than the rate of volume loss. These measurements of volumetric strain are an important step towards a complete theory of knee meniscus fluid flow and load support.

bioengineering↗

FRESH™ 3D bioprinted cardiac tissue, a bioengineered platform for in-vitro toxicology and pharmacology

There is critical need for a predictive model of human cardiac physiology in the drug development process for assessment of compound toxicology and pharmacology. In vitro two-dimensional monolayer culture of cardiomyocytes provides biochemical and cellular readouts, and in vivo small and large animal models provide information on systemic cardiovascular response. However, there remains a significant gap in these models due to an incomplete recapitulation of adult human cardiovascular physiology, which results in more difficult safety interpretations. Recent efforts in developing in vitro models from engineered heart tissues have demonstrated potential for bridging this gap using human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) in a three-dimensional tissue structure. Here we advance this paradigm by implementing FRESH 3D bioprinting to build human cardiac tissues in a medium throughput, well-plate format with controlled tissue architecture, tailored cellular composition, and native-like physiological function, specifically in its adrenergic agonist drug response. To do this, we combined hiPSC-CMs, endothelial cells and fibroblasts in a cellular bioink and FRESH 3D bioprinted this mixture in the format of a thin tissue strip stabilized on a tissue fixture. Our results confirmed that FRESH 3D bioprinted cardiac tissues could be fabricated directly in a 24-well plate format, were composed of dense and highly aligned hiPSC-CMs at >600 million cells/mL, and within 14 days demonstrated reproducible calcium transients and fast conduction velocity of [~]25 cm/s. Interrogation of these cardiac tissues with the {beta}-adrenergic receptor agonist isoproterenol showed native-like positive chronotropic and inotropic responses, a combination of responses that is not typically observed in 2D monolayer models or standard 3D engineered heart tissue approaches. These results confirm that FRESH 3D bioprinted cardiac tissues represents a novel in vitro platform that enables early in vitro pharmacology and toxicology screening.

bioengineering↗

The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk

Background and PurposeDrug-induced reduction of the rapid delayed rectifier potassium current carried by the human Ether-a-go-go-Related Gene (hERG) channel is associated with increased risk of arrhythmias. Recent updates to drug safety regulatory guidelines attempt to capture each drugs hERG binding mechanism by combining in vitro assays with in silico simulations. In this study, we investigate the impact on in silico proarrhythmic risk predictions due to uncertainty in the hERG binding mechanism and physiological hERG current model. Experimental ApproachPossible pharmacological binding models were designed for the hERG channel to account for known and postulated small molecule binding mechanisms. After selecting a subset of plausible binding models for each compound through calibration to available voltage-clamp electrophysiology data, we assessed their effects, and the effects of different physiological models, on proarrhythmic risk predictions. Key ResultsFor some compounds, multiple binding mechanisms can explain the same data produced under the safety testing guidelines, which results in different inferred binding rates. This can result in substantial uncertainty in the predicted torsade risk, which often spans more than one risk category. By comparison, we found that the effect of a different hERG physiological current model on risk classification was subtle. Conclusion and ImplicationsThe approach developed in this study assesses the impact of uncertainty in hERG binding mechanisms on predictions of drug-induced proarrhythmic risk. For some compounds, these results imply the need for additional binding data to decrease uncertainty in safety-critical applications.

biophysics↗

Gene coexpression analysis identifies genes associated with chlorophyll content and relative water content in pearl millet

Pearl millet is a significant crop tolerant to abiotic stresses and is a staple food of arid regions. However, its underlying mechanisms of stress tolerance is not fully understood. Plant survival is regulated by the ability to perceive a stress signal and induce appropriate physiological changes. Here, we screened for genes regulating physiological changes such as chlorophyll content (CC) and relative water content (RWC) in response to abiotic stress. Using weighted gene co-expression network analysis (WGCNA) and clustering associated changes in physiological traits, i.e., CC and RWC with gene expression. A group of genes showing correlation with traits was identified as modules, and different color names were used to denote a particular module. In WGCNA, the darkgreen module (7082 genes) showed a significant positive correlation with CC, and the black (1393 genes) module was negatively correlated with CC and RWC. Analysis of the module positively correlated with CC highlighted ribosome synthesis and plant hormone signaling as the most significant pathways. Potassium transporter 8 and monothiol glutaredoxin were reported as the topmost hub genes in the darkgreen module. In Clust analysis, 2987 genes were found to display a correlation with increasing CC and RWC. Further, the pathway analysis of these clusters identified ribosome and thermogenesis as positive regulators of RWC and CC, respectively. Our study provides novel insights into the molecular mechanisms regulating CC and RWC in pearl millet.

genomics↗

Unrecognized Potent Activities of Colistin Against Clinically Important mcr+ Enterobacteriaceae Revealed in Synergy with Host Immunity

Colistin (COL) is a cationic cyclic peptide that disrupts negatively-charged bacterial cell membranes and frequently serves as an antibiotic of last resort to combat multidrug-resistant Gram-negative bacterial infections. Emergence of the horizontally transferable plasmid-borne mobilized colistin resistance (mcr) determinant and its spread to Gram-negative strains harboring extended-spectrum {beta}-lactamase and carbapenemase resistance genes threatens futility of our chemotherapeutic arsenal. COL is widely regarded to have zero activity against mcr+ patients based on standard antimicrobial susceptibility testing (AST) performed in enriched bacteriological growth media; consequently, the drug is withheld from patients with mcr+ infections. However, these standard testing media poorly mimic in vivo physiology and omit host immune factors. Here we report previously unrecognized bactericidal activities of COL against mcr-1+ isolates of Escherichia coli (EC), Klebsiella pneumoniae (KP), and Salmonella enterica (SE) in standard tissue culture media containing the physiological buffer bicarbonate. Moreover, COL promoted serum complement deposition on the mcr-1+ Gram-negative bacterial surface and synergized potently with active human serum in pathogen killing. At COL concentrations readily achievable with standard dosing, the peptide antibiotic killed mcr-1+ EC, KP, and SE in freshly isolated human blood proved effective as monotherapy in a murine model of mcr-1+ EC bacteremia. Our results suggest that COL, currently ignored as a treatment option based on traditional AST, may in fact benefit patients with mcr-1+ Gram negative infections based on evaluations performed in a more physiologic context. These concepts warrant careful consideration in the clinical microbiology laboratory and for future clinical investigation of their merits in high risk patients with limited therapeutic options.

microbiology↗

PIEZO1-mediated mechanosensing governs NK cell killing efficiency in 3D

Natural killer (NK) cells play a vital role in eliminating tumorigenic cells. Efficient locating and killing of target cells in complex three-dimensional (3D) environments are critical for their functions under physiological conditions. However, the role of mechanosensing in regulating NK cell killing efficiency in physiologically relevant scenarios is poorly understood. Here, we report that the responsiveness of NK cells is regulated by tumor cell stiffness. NK cell killing efficiency in 3D is impaired against softened tumor cells, while it is enhanced against stiffened tumor cells. Notably, the durations required for NK cell killing and detachment are significantly shortened for stiffened tumor cells. Furthermore, we have identified PIEZO1 as the predominantly expressed mechanosensitive ion channel among the examined candidates in NK cells. Perturbation of PIEZO1 abolishes stiffness-dependent NK cell responsiveness, significantly impairs the killing efficiency of NK cells in 3D, and substantially reduces NK cell infiltration into 3D collagen matrices. Conversely, PIEZO1 activation enhances NK killing efficiency as well as infiltration. In conclusion, our findings demonstrate that PIEZO1-mediated mechanosensing is crucial for NK killing functions, highlighting the role of mechanosensing in NK cell killing efficiency under 3D physiological conditions and the influence of environmental physical cues on NK cell functions.

immunology↗

FSHβ links photoperiodic signalling to seasonal reproduction in Japanese quail

Annual cycles in daylength provide an initial predictive environmental cue that plants and animals use to time seasonal biology. Seasonal changes in photoperiodic information acts to entrain endogenous programs in physiology to optimize an animals fitness. Attempts to identify the neural and molecular substrates of photoperiodic time measurement in birds have, to date, focussed on blunt changes in light exposure during a restricted period of photoinducibility. The objectives of these studies were first to characterise a molecular seasonal clock in Japanese quail and second, to identify the key transcripts involved in endogenously generated interval timing that underlies photosensitivity in birds. We hypothesized that the mediobasal hypothalamus (MBH) provides the neuroendocrine control of photoperiod-induced changes in reproductive physiology, and that the pars distalis of the pituitary gland contains an endogenous internal timer for the short photoperiod dependent development of reproductive photosensitivity. Here we report distinct seasonal waveforms of transcript expression in the MBH, and pituitary gland and discovered the patterns were not synchronized across tissues. Follicle-stimulating hormone-{beta} (FSH{beta}) expression increased during the simulated spring equinox, prior to photoinduced increases in prolactin, thyrotropin-stimulating hormone-{beta} and testicular growth. Diurnal analyses of transcript expression showed sustained elevated levels of FSH{beta} under conditions of the spring equinox, compared to autumnal equinox, short (<12L) and long (>12L) photoperiods. FSH{beta} expression increased in quail held in non-stimulatory short photoperiod, indicative of the initiation of an endogenously programmed interval timer. These data identify that FSH{beta} establishes a state of photosensitivity for the external coincidence timing of seasonal physiology. The independent regulation of FSH{beta} expression provides an alternative pathway through which other supplementary environmental cues, such as temperature, can fine tune seasonal reproductive maturation and involution.

zoology↗

Dominance is common in mammals and is associated with trans-acting gene expression and alternative splicing

BackgroundDominance and other non-additive genetic effects arise from the interaction between alleles, and historically these phenomena played a major role in quantitative genetics. However, today most genome-wide association studies (GWAS) assume alleles act additively. MethodsWe systematically investigated both dominance - here representing any non-additive effect - and additivity across 574 physiological and gene expression traits in three mammalian models: a Pig F2 Intercross, a Rat Heterogeneous Stock and a Mouse Heterogeneous Stock. ResultsIn all species, and across all physiological traits, dominance accounts for about one quarter of the heritable variance. Hematological and immunological traits exhibit the highest dominance variance, possibly reflecting balancing selection in response to pathogens. Although most quantitative trait loci (QTLs) are detectable assuming additivity, we identified 154, 64 and 62 novel dominance QTLs in pigs, rats and mice respectively, that were undetectable as additive QTLs. Similarly, even though most cis-acting eQTLs are additive, we observed a large fraction of dominance variance in gene expression, and trans-acting eQTLs are enriched for dominance. Genes causal for dominance physiological QTLs are less likely to be physically linked to their QTLs but instead act via trans-acting dominance eQTLs. In addition, in HS rat transcriptomes, thousands of eQTLs associate with alternate transcripts and exhibit complex additive and dominant architectures, suggesting a mechanism for dominance. ConclusionsAlthough heritability is predominantly additive, many mammalian genetic effects are dominant and likely arise through distinct mechanisms. It is therefore advantageous to consider both additive and dominance effects in GWAS to improve power and uncover causality.

genetics↗