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Biology subjects

Jenkins, R.

Publications and source records attributed to Jenkins, R..

16 recordsLinked to original sources

A Patient-Derived Ex Vivo Tissue Model of Cholangiocarcinoma Using Precision-Cut Tissue Slices

Background & Aims: Cholangiocarcinoma (CCA) is an aggressive malignancy with poor five-year survival. Improving outcomes requires preclinical models that faithfully recapitulate the native tumour microenvironment. Precision-Cut Tissue Slices (PCTS) retain in-vivo architecture and represent a promising candidate. We aimed to establish a patient-derived PCTS model of CCA, characterise its response to ex-vivo culture, and assess its use as a platform for therapeutic testing. Methods: PCTS were generated from 25 patients undergoing curative-intent resection for presumed CCA (2022-2024) and cultured for up to 15 days. Viability and histological architecture were assessed serially. Quantitative proteomics (SWATH-DIA) was performed at Days 0, 3, 7 and 15. A subset were treated with staurosporine or clinically relevant chemotherapy (5'-deoxy-5-fluorouridine, gemcitabine {+/-} cisplatin). Results: PCTS viability was maintained to Day 15, with no significant reduction from baseline. PCTS retain tumour architecture, cytokeratin-19-positivity and resident CD3+/CD68+ immune cells during culture. Proteomic profiling quantified 4,578 proteins and identified a staged response, with differentially abundant proteins increasing from 8 (Day 3) to 127 (Day 7) and 180 (Day 15), stabilising thereafter. This comprised of an early loss of inflammatory and stromal proteins, sustained cellular stress responses and metabolic reprogramming. CCA subtype-specific proteomic signatures were preserved throughout culture. Staurosporine produced dose-dependent cytotoxicity whilst chemotherapy responses were variable. Conclusions: Patient-derived CCA PCTS maintain viability, tumour architecture and subtype identity for 15 days while undergoing a defined proteomic response to culture, and retain pharmacological responsiveness,

cancer biology↗

MAFB is essential for the maintenance of adult human α-cell identity and glucagon secretion

Dysregulated hormone secretion and erosion of endocrine cell identity are features of type 1 and type 2 diabetes, but the transcriptional programs maintaining adult human islet identity and function remain poorly defined. The large MAF transcription factor MAFB is expressed in human - and {beta}-cells, marks their most functionally mature subpopulations, and is downregulated in diabetes, but its role in adult human islets has not been tested directly. Using shRNA-mediated MAFB knockdown (KD) in whole and CD26+ -cell-enriched human pseudoislets, we found that whole pseudoislet MAFB KD impaired glucagon synthesis and secretion while only modestly reducing insulin content and cAMP-potentiated insulin release. Single-cell profiling detected no {beta}-cell transcriptional response beyond MAFB KD itself, consistent with buffering by the related {beta}-cell-enriched MAFA transcription factor. In contrast, -cell-restricted MAFB KD unmasked a cell-autonomous requirement for MAFB in stimulus-secretion coupling. MAFB deficiency also destabilized -cell identity, downregulating canonical -cell and neuroendocrine secretory genes while ectopically inducing mesenchymal and extracellular matrix remodeling programs. In addition, MAFB-dependent downregulation of electron transport chain genes was confined to a large -cell subcluster, manifesting as impaired islet-wide mitochondrial respiration within the broader -cell population. Together, these findings identify MAFB as an essential adult human -cell maintenance factor that links diabetes-associated downregulation to impaired glucagon secretion, -cell identity erosion, and mitochondrial dysfunction. RESEARCH IN CONTEXTO_LIWhat is already known about this subject? O_LIMAFB is expressed in adult human - and {beta}-cells, marks their most functionally mature subpopulations, and is downregulated in type 1 and type 2 diabetes C_LIO_LIIn human stem cell models, MAFB is essential for generating insulin-producing {beta}-like cells, whereas glucagon-producing -like cells are reduced but still formed C_LIO_LINeither model addresses adult human islets: rodent MafB becomes -cell restricted after birth, and stem cell models capture differentiation, not maintenance C_LI C_LIO_LIWhat is the key question? O_LIIs MAFB required to maintain identity and secretory function in adult human islet cells? C_LI C_LIO_LIWhat are the new findings? O_LIMAFB knockdown in primary human pseudoislets impaired glucagon synthesis and secretion but minimally affected {beta}-cells, consistent with buffering by MAFA C_LIO_LIKnockdown in CD26+ -cell-enriched pseudoislets revealed a cell-autonomous requirement for MAFB in stimulus-secretion coupling, and destabilized -cell identity by inducing mesenchymal and extracellular matrix programs C_LIO_LIMAFB loss downregulated electron transport chain genes in the largest -cell subcluster and reduced mitochondrial respiration C_LI C_LIO_LIHow might this impact on clinical practice in the foreseeable future? O_LIPreserving MAFB activity in adult human -cells may represent a strategy to limit -cell dysfunction in diabetes C_LI C_LI

physiology↗

Innate immunocompetent iNSpheroids: A hiPSC-derived 3D model to study the central nervous system captures an early CNS response to rAAV

Gene therapies using adeno-associated viruses (AAVs) for central nervous system (CNS) disorders face challenges due to host immune responses not represented in classical preclinical models. Here, we present a human-induced pluripotent stem cell (hiPSC)-derived innate immunocompetent 3D CNS model that recapitulates neuroinflammatory hallmarks, serving as a platform for preclinical gene therapy development. Utilizing various scales of stirred-tank bioreactor systems, we generated (neurospheroids) iNSpheroids composed of neurons, astrocytes, and oligodendrocytes, alongside microglial cells (iMGL) to mimic the neuro-immune axis. These systems enabled large-scale production of iNSpheroids and subsequent miniaturization for co-culture experiments and screening of inflammatory stimuli, while maintaining a highly controlled environment. The iMGL-iNSpheroids demonstrated active neuron-microglia crosstalk and exhibited distinct inflammatory responses to a series of neuroinflammatory factors. iMGL-iNSpheroids mounted a mild and transient response to rAAV9, mediated by the activation of inflammatory pathways (e.g., TNF-via NF-{kappa}B activation) in glial cell populations. This model offers a valuable tool to dissect neuroinflammatory mechanisms, accelerating gene therapy development. TeaserImmune-competent 3D human CNS model recapitulates glial responses to rAAVs, enabling reliable preclinical gene therapy screening.

bioengineering↗

Interleukin-6 elevates thrombosis via pro-coagulant phospholipids from platelet 12-lipoxygenase in rheumatoid arthritis.

BackgroundRheumatoid arthritis (RA) is associated with significantly higher thrombotic risk, which is not yet mechanistically understood. Here, the role of pro-coagulant membranes of platelets and blood cells in driving thrombosis, and their regulation by inflammation was determined using human cohorts and genetically-modified mice. MethodsAntigen-induced arthritis (AIA) was induced in WT, Il27ra-/-, Il6ra-/-, Alox12-/- and Alox15-/- mice. Coagulation and inflammatory markers were measured in plasma. Lipidomics was performed on blood cells and synovium analyzing pro-coagulant enzymatically-oxidized phospholipids (eoxPL) and oxylipins. Two human RA patient cohorts were characterized for eoxPL generation in blood cells, and chronic immune response to eoxPL in vivo. ResultsAIA induction significantly elevated plasma thrombin-antithrombin (TAT) complexes, serum amyloid A (SAA), and eoxPL in blood cells and platelets. Elevations in TATs, SAA and eoxPL were suppressed by genetic deletion of IL-6Ra, while platelet Alox12 deletion prevented TAT and eoxPL increases. This indicates a direct role for IL-6 in elevating thrombosis via upregulation of platelet eoxPL. In contrast, leukocyte Alox15 deletion did not impact TATs or eoxPL. Deletion of either LOX isoform worsened AIA joint pathology. Synovial tissue demonstrated raised eoxPL, but exclusively from Alox15, indicating leukocyte origin. Thus, both LOX isoforms contribute to AIA, but through different mechanisms. In human RA, platelet counts, and plasma TATs were elevated, and plasma had significantly elevated IgG against eoxPL, indicating patients experience chronic exposure to the lipids in vivo. ConclusionsPlatelet-derived pro-coagulant eoxPL are elevated in human and murine arthritis along with higher coagulation markers. In mice, this was mediated by the IL-6/Alox12 axis and directly responsible for the higher thrombotic risk. IL-6 plays a central role in driving platelet activation in RA, with the pro-coagulant lipid membrane representing a novel target. Reducing inflammation using DMARDs, particularly targeting IL-6 may reduce platelet pro-coagulant activity and thrombosis risk in RA.

pharmacology and toxicology↗

A New Approach to Monitoring Protein Transfer via Extracellular Vesicles

Extracellular vesicles (EVs) allow the exchange of protein, lipids and genetic material for communication between cells. We developed a method to track protein exchange between cells via EVs, using stable isotope labelling of amino acids in cell culture (SILAC). We compared EV isolation methods: ultracentrifugation and size exclusion chromatography (SEC) and undertook characterisation through nanoparticle tracking analysis (NTA), then optimised the requirement (0-10%) for foetal calf serum (FCS) and EV application concentration (6.5 million-200 EVs/cell seeded). We employed heavy amino acids L-Arg-HCl and L-Lys-2HCl to label donor cells and subsequent EV proteins. Unlabelled recipient cells were treated for 12 hours with EVs, at various concentrations. Mass spectrometry proteomics was used to assess uptake of heavy labelled EVs into recipient cells. A labelling efficiency of 62% was achieved. There was no relationship between the number of EVs applied to cells and the number of heavy proteins detected in the recipient cells. Pathway analysis indicated an inflammatory effect of applying EVs to cells, but the potential cause of this was unclear. We identified transferred protein cargo from EVs in recipient cells. Further optimisation of this method is still necessary.

molecular biology↗

Heterogeneous endocrine cell composition defines human islet functional phenotypes

Phenotyping and genotyping initiatives within the Integrated Islet Distribution Program (IIDP), the largest source of human islets for research in the U.S., provide standardized assessment of islet preparations distributed to researchers, enabling the integration of multiple data types. Data from islets of the first 299 organ donors without diabetes, analyzed using this pipeline, highlights substantial heterogeneity in islet cell composition associated with hormone secretory traits, sex, reported race and ethnicity, genetically predicted ancestry, and genetic risk for type 2 diabetes (T2D). While and {beta} cell composition influenced insulin and glucagon secretory traits, the abundance of {delta} cells showed the strongest association with insulin secretion and was also associated with the genetic risk score (GRS) for T2D. These findings have important implications for understanding mechanisms underlying diabetes heterogeneity and islet dysfunction and may provide insight into strategies for personalized medicine and {beta} cell replacement therapy.

physiology↗

Deciphering the diversity and sequence of extracellular matrix and cellular spatial patterns in lung adenocarcinoma using topological data analysis

Extracellular matrix (ECM) organization influences cancer development and progression. It modulates the invasion of cancer cells and can hinder the access of immune cells to cancer cells. Effective quantification of ECM architecture and its relationship to the position of different cell types is, therefore, important when investigating the role of ECM in cancer development. Using topological data analysis (TDA), particularly persistent homology and Dowker persistent homology, we develop a novel analysis pipeline for quantifying ECM architecture, spatial patterns of cell positions, and the spatial relationships between distinct constituents of the tumour microenvironment. We apply the pipeline to 44 surgical specimens of lung adenocarcinoma from the lung TRACERx study stained with picrosirius red and haematoxylin. We show that persistent homology effectively encodes the architectural features of the tumour microenvironment. Inference using pseudo-time analysis and spatial mapping to centimetre scale tissues suggests a gradual and progressive route of change in ECM architecture, with two different end states. Dowker persistent homology enables the analysis of spatial relationship between any pair of constituents of the tumour microenvironment, such as ECM, cancer cells, and leukocytes. We use Dowker persistent homology to quantify the spatial segregation of cancer and immune cells over different length scales. A combined analysis of both topological and non-topological features of the tumour microenvironment indicates that progressive changes in the ECM are linked to increased immune exclusion and reduced oxidative metabolism.

cancer biology↗

Pancreatic islet α cell function and proliferation requires the arginine transporter SLC7A2

Interrupting glucagon signaling decreases gluconeogenesis and the fractional extraction of amino acids by liver from blood resulting in lower glycemia. The resulting hyperaminoacidemia stimulates cell proliferation and glucagon secretion via a liver- cell axis. We hypothesized that cells detect and respond to circulating amino acids levels via a unique amino acid transporter repertoire. We found that Slc7a2ISLC7A2 is the most highly expressed cationic amino acid transporter in cells with its expression being three-fold greater in than {beta} cells in both mouse and human. Employing cell culture, zebrafish, and knockout mouse models, we found that the cationic amino acid arginine and SLC7A2 are required for cell proliferation in response to interrupted glucagon signaling. Ex vivo and in vivo assessment of islet function in Slc7a2-/- mice showed decreased arginine-stimulated glucagon and insulin secretion. We found that arginine activation of mTOR signaling and induction of the glutamine transporter SLC38A5 was dependent on SLC7A2, showing that boths role in cell proliferation is dependent on arginine transport and SLC7A2. Finally, we identified single nucleotide polymorphisms in SLC7A2 associated with HbA1c. Together, these data indicate a central role for SLC7A2 in amino acid-stimulated cell proliferation and islet hormone secretion.

physiology↗

Multi-omic temporal landscape of plasma and synovial fluid-derived extracellular vesicles using an experimental model of equine osteoarthritis

Extracellular vesicles contribute to osteoarthritis pathogenesis through their release into joint tissues and synovial fluid. Limited studies have profiled extracellular vesicles in osteoarthritic biofluids, such as plasma and synovial fluid. Due to the potential involvement in osteoarthritis pathogenesis, synovial fluid-derived extracellular vesicles have the potential to be direct biomarkers in the causal pathway of disease but also enable understanding of their role in disease progression. Utilizing a temporal model of early osteoarthritis, we defined the changes in matched synovial fluid and plasma-derived extracellular vesicle small non-coding RNA and protein cargo using small RNA sequencing and mass spectrometry proteomics. We explored the data with a multi-omic approach including time series clustering, factor analysis and gene enrichment interrogation. Chondrocyte signalling induced by temporal synovial fluid-derived extracellular vesicles derived from the model were analysed using luciferase-based transcription factor activity assays. Extracellular vesicle protein cargo appears to be more important during osteoarthritis progression than small non-coding RNA cargo. Cluster analysis revealed plasma-extracellular vesicles represented a time-dependant response to osteoarthritis induction, were principally derived from protein cargo and were associated with supramolecular complexes. Clusters for synovial fluid-derived extracellular vesicles were associated with an initial osteoarthritis response and represented immune/inflammatory pathways. Factor analysis revealed that plasma-derived extracellular vesicles correlated with day post induction and were primarily composed of proteins which may modulate lipid metabolism in osteoarthritis. Synovial fluid-derived extracellular vesicles significant factors represented intermediate filament and supramolecular complexes reflecting tissue repair responses to osteoarthritis induction. There was a significant interaction between time and osteoarthritis for cAMP response element, Nuclear factor-kappa B response element, serum response element and serum response factor response element reporters with a trend for osteoarthritis synovial fluid-derived EVs at later time points to have a more pronounced effect. Local and systemic osteoarthritis-associated changes in extracellular vesicle cargo profiles in this in vivo model provided a unique opportunity to understand their role in disease propagation and progression and may represent novel biomarkers to stage osteoarthritis.

molecular biology↗

Temporal Extracellular Vesicle Protein Changes following Intraarticular Treatment with Integrin α10β1-selected Mesenchymal Stem Cells in Equine Osteoarthritis

Equine osteoarthritis is a heterogeneous, degenerative disease of the musculoskeletal system with multifactorial causation, characterised by a joint metabolic imbalance. Extracellular vesicles are nanoparticles involved in intracellular communication. Mesenchymal stem cell (MSC) therapy is a form of regenerative medicine that utilises their properties to repair damaged tissues. Despite its wide use in veterinary practice, the exact mechanism of action of MSCs is not fully understood. The aim of this study was to determine the synovial fluid extracellular vesicle protein cargo following integrin 10{beta}1-selected mesenchymal stem cell treatment in an experimental model of equine osteoarthritis with longitudinal sampling. Adipose tissue derived, integrin 10-MSCs were injected into the osteoarthritis afflicted joint after 18 days post surgery. Sixty-nine synovial fluid samples were collected via aseptic arthrocentesis at day 0, 18, 21, 28, 35, and 70. Synovial fluid was hyaluronidase treated and extracellular vesicles isolated using differential ultracentrifugation. Extracellular vesicles were characterised using the Exoview human tetraspanin chip. Extracellular vesicle concentration, surface marker identification, fluorescent microscopy and tetraspanin colocalization analysis was undertaken, in conjunction with nanoparticle tracking analysis. For proteomics, extracellular vesicle pellets were suspended in urea lysis buffer. Samples were reduced, alkylated and digested on SP3 beads with trypsin/LysC. A data independent acquisition mode was utilised for nano liquid chromatography tandem mass spectrometry analysis on a Triple TOF 6600 mass spectrometer. A total of 442 proteins were identified across all samples, with 48 proteins differentially expressed (FDR[≤] 0.05) between control and osteoarthritis treated with MSCs.. The most significant pathways following functional enrichment analysis of the differentially abundant protein dataset were serine endopeptidase activity (p=0.023), complement activation (classical pathway) (p=0.023), and collagen containing extracellular matrix (p=0.034). To date this is the first study to quantify the global extracellular vesicle proteome in synovial fluid following MSC treatment of osteoarthritis. Changes in the proteome of the synovial fluid-derived EVs following MSC injection suggest EVs may play a role in mediating the effect of cell therapy through altered joint homeostasis and an improved phenotype.

molecular biology↗

RFX6-mediated dysregulation defines human β cell dysfunction in early type 2 diabetes

A hallmark of type 2 diabetes (T2D), a major cause of world-wide morbidity and mortality, is dysfunction of insulin-producing pancreatic islet {beta} cells1-3. T2D genome-wide association studies (GWAS) have identified hundreds of signals, mostly in the non-coding genome and overlapping {beta} cell regulatory elements, but translating these into biological mechanisms has been challenging4-6. To identify early disease-driving events, we performed single cell spatial proteomics, sorted cell transcriptomics, and assessed islet physiology on pancreatic tissue from short-duration T2D and control donors. Here, through integrative analyses of these diverse modalities, we show that multiple gene regulatory modules are associated with early-stage T2D {beta} cell-intrinsic defects. One notable example is the transcription factor RFX6, which we show is a highly connected {beta} cell hub gene that is reduced in T2D and governs a gene regulatory network associated with insulin secretion defects and T2D GWAS variants. We validated the critical role of RFX6 in {beta} cells through direct perturbation in primary human islets followed by physiological and single nucleus multiome profiling, which showed reduced dynamic insulin secretion and large-scale changes in the {beta} cell transcriptome and chromatin accessibility landscape. Understanding the molecular mechanisms of complex, systemic diseases necessitates integration of signals from multiple molecules, cells, organs, and individuals and thus we anticipate this approach will be a useful template to identify and validate key regulatory networks and master hub genes for other diseases or traits with GWAS data.

cell biology↗

Are narrow-ranging species doomed to extinction? Dramatic and generalised decline in future climate suitability of highly threatened species

Narrow-ranging species are usually omitted from Species distribution models (SDMs) due to statistical constraints, while they are predicted to be particularly vulnerable to climate change. The recently available high-resolution environmental predictors, along with recently developed methods enable to increase the eligibility of narrow-ranging species for SDMs, provided their distribution is well known. We fill a gap of knowledge on the effect of predicted climate change on narrow-ranging species. We modelled the distribution of the golden mantella frog Mantella aurantiaca and the Manapany day gecko Phelsuma inexpectata, for which the distribution of their occurrence records is well documented. Our modelling scheme included a range of processes susceptible to address statistical issues related to narrow-ranging species. We predict an alarming decline in climate suitability in the whole current distribution area of both species by 2070, potentially leading to a complete extinction in most scenarios. We identified the areas with the best climate suitability in the future, but these remain largely suboptimal regarding species climatic niche. The high level of habitat fragmentation suggests that both species likely need to be at least partly translocated. Climate change may not only drive range contractions or distribution shifts in narrow-ranging species, but may lead to the complete extirpation of suitable environments across their entire region. This study suggests that the level of threats of narrow-ranging species already identified as threatened may be underestimated, especially in heterogeneous tropical areas. We stress the need to develop sampling campaigns and implement proactive actions for narrow-ranging species in the tropics.

ecology↗

DNA methylation and survival differences associated with the type of IDH mutation in 1p/19q non-codeleted astrocytomas

Somatic mutations in the isocitrate dehydrogenase genes IDH1 and IDH2 occur at high frequency in several tumour types. Even though these mutations are confined to distinct hotspots, we show that gliomas are the only tumour type with an exceptionally high percentage of IDH1R132H mutations. This high prevalence is important as IDH1R132H is presumed to be relatively poor at producing D-2-hydroxyglutarate (D-2HG) whereas high concentrations of this oncometabolite are required to inhibit TET2 DNA demethylating enzymes. Indeed, patients harbouring IDH1R132H mutated tumours have lower levels of genome-wide DNA-methylation, and an associated increased gene expression, compared to tumours with other IDH1/2 mutations ("non-R132H mutations"). This reduced methylation is seen in multiple tumour types and thus appears independent of site of origin. For 1p/19q non-codeleted glioma patients, we show that this difference is clinically relevant: in samples of the randomised phase III CATNON trial, patients harbouring non-R132H mutated tumours have better outcome (HR 0.41, 95% CI [0.24, 0.71], p=0.0013). Non-R132H mutated tumours also had a significantly lower proportion of tumours assigned to prognostically poor DNA-methylation classes (p<0.001). IDH mutation-type was independent in a multivariable model containing known clinical and molecular prognostic factors. To confirm these observations, we validated the prognostic effect of IDH mutation type on a large independent dataset. The observation that non-R132H mutated 1p/19q non-codeleted gliomas have a more favourable prognosis than their IDH1R132H mutated counterpart is clinically relevant and should be taken into account for patient prognostication. Single sentence summaryAstrocytoma patients with tumours harbouring IDH mutations other than p.R132H have increased DNA methylation levels and longer survival

cancer biology↗

SARS-CoV-2 Cell Entry Factors ACE2 and TMPRSS2 are Expressed in the Pancreas but Not in Islet Endocrine Cells

Summary/AbstractReports of new-onset diabetes and diabetic ketoacidosis in individuals with COVID-19 have led to the hypothesis that SARS-CoV-2, the virus that causes COVID-19, is directly cytotoxic to pancreatic islet {beta} cells. This would require binding and entry of SARS-CoV-2 into host {beta} cells via cell surface co-expression of ACE2 and TMPRSS2, the putative receptor and effector protease, respectively. To define ACE2 and TMPRSS2 expression in the human pancreas, we examined six transcriptional datasets from primary human islet cells and assessed protein expression by immunofluorescence in pancreata from donors with and without diabetes. ACE2 and TMPRSS2 transcripts were low or undetectable in pancreatic islet endocrine cells as determined by bulk or single cell RNA sequencing, and neither protein was detected in or {beta} cells from these donors. Instead, ACE2 protein was expressed in the islet and exocrine tissue microvasculature and also found in a subset of pancreatic ducts, whereas TMPRSS2 protein was restricted to ductal cells. The absence of significant ACE2 and TMPRSS2 co-expression in islet endocrine cells reduces the likelihood that SARS-CoV-2 directly infects pancreatic islet {beta} cells through these cell entry proteins.

cell biology↗

Coordinated interactions between endothelial cells and macrophages in the islet microenvironment promote beta cell regeneration

Endogenous {beta} cell regeneration could alleviate diabetes, but proliferative stimuli within the islet microenvironment are incompletely understood. We previously found that {beta} cell recovery following hypervascularization-induced {beta} cell loss involves interactions with endothelial cells (ECs) and macrophages (M{Phi}s). Here we show that proliferative ECs modulate M{Phi} infiltration and phenotype during {beta} cell loss, and recruited M{Phi}s are essential for {beta} cell recovery. Furthermore, VEGFR2 inactivation in quiescent ECs accelerates islet vascular regression during {beta} cell recovery and leads to increased {beta} cell proliferation without changes in M{Phi} phenotype or number. Transcriptome analysis of {beta} cells, ECs, and M{Phi}s reveals that {beta} cell proliferation coincides with elevated expression of extracellular matrix remodeling molecules and growth factors likely driving activation of proliferative signaling pathways in {beta} cells. Collectively, these findings suggest a new {beta} cell regeneration paradigm whereby coordinated interactions between intra-islet M{Phi}s, ECs, and extracellular matrix mediate {beta} cell self-renewal.

cell biology↗

Full Emergence timing and voltinism of phantom midges, Chaoborus spp., in the UK

After introduction of overwintered fourth instar larvae (2027 in total), emergence timing of adult Chaoborus spp. (Diptera: Chaoboridae) was investigated in four outdoor freshwater microcosms in the UK in 2017. Adults started emerging on 13 April and emergence reached a peak on 2 May. The majority of emergence was completed by 3 June. Emergence rates for each microcosm ranged from 51.4% to 66.2% with a mean of 60.9%. The great majority of emerged adults were C. obscuripes (99.68%). Males appeared to emerge slightly earlier than females. The results indicated that for overwintered C. obscuripes larvae, the adults emerged en masse in spring (rather than emerging gradually over the course of spring and summer). In a separate experiment at the same location, the number of Chaoborus spp. life-cycles occurring per year was determined using six replicate groups of microcosms, each group containing four microcosms. Each microcosm contained 200 L of water and was enclosed within a pop-up frame covered with insect-proof mesh (1 mm2 aperture). The first microcosm in each group was seeded with egg rafts (first generation) of Chaoborus spp. Following adult emergence, as soon as the first egg rafts were laid in each microcosm these were removed and transferred to the second microcosm in that group, and so on. The larvae sampled from the second and subsequent generations in the microcosms were all C. crystallinus. C. crystallinus produced up to four discrete generations within the experimental period, and life-cycle times from egg-to-egg ranged from 14 days (replicate group 5, first generation) to 56 days (replicate 3, second generation). These two experiments, indicated that i) adult C. obscuripes arising from overwintered larvae emerged en masse in the spring, and ii) up to four generations of C. crystallinus occurred; i.e. C. crystallinus exhibited a multi-voltine life history under the temperate conditions of this UK study.

ecology↗