Biology subjects

Bachmann, L.

Publications and source records attributed to Bachmann, L..

17 recordsLinked to original sources

bioRxiv2026

Dual Pathways of Extracellular ATP Action in Cancer Cells: Purinergic Signaling Driven Senescence and Macropinocytic ATP Internalization

BackgroundOpportunistic nutrient uptake is a hallmark of cancer metabolism. Cancer cells upregulate macropinocytosis to acquire extracellular nutrients to support growth and stress adaptation. We previously showed that extracellular ATP (eATP) is internalized by macropinocytosis and promotes multiple cancer phenotypes. Here, we tested whether eATP uptake is prevalent across cancers and whether eATP also induces senescence through purinergic receptor (PR) signaling. MethodsIntracellular ATP (iATP) levels were measured following eATP exposure across multiple cancer cell lines. eATP internalization was visualized in vitro and in vivo using a non-hydrolyzable fluorescent ATP analog together with high-molecular-weight dextran as a macropinocytosis marker. Senescence was quantified using three SA-{beta}-galactosidase assays and flow cytometry. Pharmacologic inhibitors of macropinocytosis and purinergic receptors were used to define pathway dependence. Combination treatments with the glucose transporter inhibitor DRB18 and the senolytic navitoclax were evaluated for antiproliferative effects. ResultseATP produced dose- and time-dependent increases in iATP across diverse cancer cell types. Imaging demonstrated widespread macropinocytic internalization of ATP in vitro and in tumor xenografts. eATP induced senescence in NSCLC cells, confirmed by multiple {beta}-gal assays and flow cytometry. PR inhibition significantly reduced senescence, whereas macropinocytosis inhibition had minimal effect on senescence induction. ConclusionseATP acts through dual pathways in cancer cells: macropinocytic internalization that elevates iATP and PR signaling that drives senescence. Targeting metabolic uptake together with senolytic therapy may offer a novel anticancer strategy.

cancer biology↗

bioRxiv2026

The Interplay between Language Development, Short-Term Memory, and Auditory Associative Word Learning in Younger and Older Children

Auditory associative word learning has been shown in infants and proven to be a difficult task in young adults, where learning is only successful under specific conditions. In order to better understand the transition from successful infant auditory associative word learning to the challenging adult learning, we tested 5-6-year-olds and 9-10-year-olds in a sequential associative task to investigate their ability in associating novel pseudowords with environmental sounds. Additionally, we explored how episodic short-term memory recognition, language development, sex, and musical training affect behavioral and electrophysiological measures of word learning. EEG data were collected to assess word learning in an initial training phase (consistent vs. inconsistent pairings) and a subsequent testing phase (matching vs. violated pairings) with additional button-press reactions for behavioral learning data. While learning effects were seen in the first half of the training phase in younger children, no early effects of learning were found in older children. Only musically trained 9-10-year-olds indicated word learning in the second half of the training phase. In the testing phase, only non-musically trained 9-10-year-olds revealed trend-level N400-like responses. Short-term memory (auditory-verbal, auditory-nonverbal, and visual-nonverbal) and language development improved with age, but only visual-nonverbal short-term memory recognition was positively correlated with improved auditory associative word learning. Unlike cross-modal visual associative word learning, our results, together with earlier findings in infants and young adults, suggest a difficulty in auditory associative word learning beyond infancy, which is sustained from childhood to young adulthood.

neuroscience↗

bioRxiv2025

A genetically-defined population of amygdalofugal neurons promotes suckling and early postnatal growth

Suckling by newborns is an instinctive behavior defining the mammalian class. Yet, due to experimental difficulty in assessing neural function in the very young, little is known about the neural control of this fundamental behavior. Here we develop molecular-genetic approaches to interrogate neuronal connectivity and function in newborn mice and used these tools to identify a population of pro-dynorphin (PDYN) and somatostatin (SST) expressing neurons in the central amygdala that are activated during suckling. CeAPDYN+SST+ neurons connect with brainstem areas mediating oral sensorimotor and reward function in adults, and their ablation in newborns decreases suckling vigor and impairs growth. These results uncover the crucial role of a specific neuronal population of the central amygdala in maintaining the infants propensity to suckle and thrive throughout infancy.

neuroscience↗

bioRxiv2025

Tracing the drivers of range-wide bowhead whale genomic structure and diversity

Understanding how past environmental and anthropogenic factors shaped contemporary genetic patterns is essential for assessing the vulnerability of species in the face of ongoing climate change. The bowhead whale (Balaena mysticetus) - the only baleen whale found in the Arctic year-round - has a strong association with sea ice, long history of human exploitation, and a circumpolar distribution, making it a valuable model for investigating how these factors have shaped population structure in the marine Arctic. We analysed both nuclear and mitochondrial genomes from bowhead whale individuals sampled across the species circumpolar range, encompassing all four recognized management stocks. Our results reveal three not four genetically differentiated populations: the Sea of Okhotsk stock; the East Greenland-Svalbard-Barents Sea stock; and a combined population containing the Bering-Chukchi-Beaufort Seas and East Canada-West Greenland stocks. We utilised ecological niche modeling and bowhead whale telemetry data to model stock connectivity over the past 11,700 years, and identify past habitat connectivity as a key driver of current population structure. Despite centuries of intensive commercial whaling, the three bowhead whale populations exhibit little-to-no evidence of recent inbreeding and retain high genetic diversity relative to other mammalian species. The lowest genetic diversity, most inbreeding, and highest realised genetic load being in the Sea of Okhotsk population. Collectively, our findings shed light on the recent population history and dynamics of bowhead whales, and offer valuable baseline data on present-day genetic structure and diversity to support effective conservation and management strategies.

evolutionary biology↗

bioRxiv2024

A novel pan class-I glucose transporter inhibitor DRB18 exhibits synergistic effects in vitro and in vivo with paclitaxel against human non-small cell lung cancer

PurposeCancer cells depend on glucose for biomass synthesis, cell proliferation, and drug resistance. Glucose transporter (GLUT) transcripts as well as proteins are upregulated in human lungs and other cancers and are negatively correlated with patient survival, particularly GLUT1 and GLUT3. Thus, inhibiting GLUT function has been an attractive anticancer strategy. We previously characterized WZB117 and DRB18, first- and second-generation pan-class I GLUT inhibitors, respectively. DRB18 strongly inhibits glucose transport mediated by GLUT1-4 in non-small lung cancer (NSCLC) A549 cells in vitro and in vivo. Here, we report DRB18 as a more stable and potent anticancer compound, compared to WZB117. MethodsImmunohistochemistry analysis was performed in Lung adenocarcinoma (LUAD) tissue array to investigate GLUT1 and GLUT3 protein expression between normal, lower and higher stage LUAD patients. Bioinformatics analysis was performed to examine additive effect of GLUT3 to GLUT1 mediated prognosis in LUAD. Glucose uptake and resazurin dye-based proliferation assays were used to determine glucose uptake inhibitory and cell proliferation inhibitory against panel of human cancer cell lines A549, Panc1 and Hela. DRB18 potency was tested against the presence of extracellular nutrients glucose, glutamine and ATP. Synergism between DRB18 and clinically approved anticancer drugs was tested against cancer cells. DRB18 and advanced NSCLC drug Paclitaxel were tested for synergy in vitro and in vivo. ResultsGLUT1/3 combination exhibited higher hazard ratio than either GLUT1 and GLUT3 alone in many cancer types including LUAD. DRB18 reduced glucose uptake in NSCLC A549, pancreatic Panc1, and cervical Hela cancer cells with varied but strong anticancer potencies in the presence or absence of extracellular nutrients such as ATP and glucose. Combined with different clinical and pre-clinical anticancer compounds such as V9302, CB839, Sutent, Brigatinib, DRB18 significantly increased death of A549 and Panc1 cells. Noteworthy, DRB18 exhibited strong anticancer synergy with paclitaxel, an approved chemo drug for NSCLC, drastically reducing cancer cell proliferation in vitro and growth of A549 tumors grafted on the flank of nude mice without significant side effects, compared to single drug treatments. ConclusionsCollectively, our results demonstrate anticancer efficacy of pan class-I GLUT inhibitor DRB18 in combination with paclitaxel, providing a potentially more efficacious therapeutic strategy for treating advanced NSCLC and other cancers.

cancer biology↗

bioRxiv2024

Substantial hierarchical reductions of genetic and morphological traits in the evolution of rotiferan parasites

O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=189 SRC="FIGDIR/small/605096v2_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@469ecborg.highwire.dtl.DTLVardef@6330f4org.highwire.dtl.DTLVardef@22faf6org.highwire.dtl.DTLVardef@8a6704_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstractC_FLOATNO C_FIG During the last 800 million years of evolution animals radiated into a vast range of diversity of species and disparity of forms and lifestyles. The process involved a near hierarchical increase in complexity from life forms with few cell types to organisms with many hundreds of cell-types. However, neither genome size nor number of protein-coding genes can explain these differences and their biological basis remains elusive. Yet, recent studies have suggested that the evolution of complexity is closely linked to the acquisition of a class of protein coding gene-regulators called microRNAs. In a regressive approach, to investigate the association between loss of organismal complexity and microRNAs, we here studied Syndermata, an invertebrate group including free-living rotifers (Monogononta, Bdelloidea), the epibiotic Seisonidea and the endoparasitic Acanthocephala. Genomic, transcriptomic and morphological characterization and comparisons across 25 syndermatan species revealed a strong correlation between loss of microRNAs, loss of protein-coding genes and decreasing morphological complexity. The near hierarchical loss extends to [~]85% loss of microRNAs and a [~]50% loss of BUSCO genes in the endoparasitic Acanthocephala, the most reduced group we studied. Together, the loss of [~]400 protein-coding genes and [~]10 metazoan core gene losses went along with one microRNA family loss. Furthermore, the loss of [~]4 microRNA families or [~]34 metazoan core genes associated with one lost morphological feature. These are the first quantitative insights into the regulatory impact of microRNAs on organismic complexity as a predictable consequence in regressive evolution of parasites.

evolutionary biology↗

bioRxiv2024

Four centuries of commercial whaling eroded 11,000 years of population stability in bowhead whales

The bowhead whale, an Arctic endemic, was heavily overexploited during commercial whaling between the 16th-20th centuries1. Current climate warming, with Arctic amplification of average global temperatures, poses a new threat to the species2. Assessing the vulnerability of bowhead whales to near-future predictions of climate change remains challenging, due to lacking data on population dynamics prior to commercial whaling and responses to past climatic change. Here, we integrate palaeogenomics and stable isotope ({delta}13C and{delta} 15N) analysis of 201 bowhead whale fossils from the Atlantic Arctic with palaeoclimate and ecological modelling based on 823 radiocarbon dated fossils, 151 of which are new to this study. We find long-term resilience of bowhead whales to Holocene environmental perturbations, with no obvious changes in genetic diversity or population structure, despite large environmental shifts and centuries of whaling by Indigenous peoples prior to commercial harvests. Leveraging our empirical data, we simulated a time-series model to quantify population losses associated with commercial whaling. Our results indicate that commercial exploitation induced population subdivision and losses of genetic diversity that are yet to be fully realised; declines in genetic diversity will continue, even without future population size reductions, compromising the species resilience to near-future predictions of Arctic warming.

evolutionary biology↗

bioRxiv2023

Universal baleen whale microsatellite panel for individual identification and power to detect parentage

Highly polymorphic single tandem repeat loci (STR, also known as microsatellite loci) remain a familiar, cost efficient class of markers for genetic analyses in ecology, behavior and conservation. We characterize a new universal set of ten STR loci (from 28 potential candidate loci) in seven baleen whale species, which are optimized for PCR amplification in two multiplex reactions along with a Y chromosome marker for sex determination. The optimized, universal set of STR loci provides an ideal starting point for new studies in baleen whales aimed at individual-based and population genetic studies, and facilitates data sharing among research groups. Data from the new STR loci were combined with genotypes from other published STR loci to assess the power to assign parentage (paternity) using exclusion in four species: fin whales, humpback whales, blue whales and bowhead whales. We argue that parentage studies should present a power analysis to demonstrate that the specific data are sufficiently informative to assign parentage with statistical rigor.

genetics↗

bioRxiv2021

Insights into bear evolution from a Pleistocene polar bear genome

The polar bear (Ursus maritimus) has become a symbol of the threat to biodiversity from climate change. Understanding polar bear evolutionary history may provide insights into apex carnivore responses and prospects during periods of extreme environmental perturbations. In recent years, genomic studies have examined bear speciation and population history, including evidence for ancient admixture between polar bears and brown bears (Ursus arctos). Here, we extend our earlier studies of a 130,000-115,000-year-old polar bear from the Svalbard Archipelago using a 10X coverage genome sequence and ten new genomes of polar and brown bears from contemporary zones of overlap in northern Alaska. We demonstrate a dramatic decline in effective population size for this ancient polar bears lineage, followed by a modest increase just before its demise. A slightly higher genetic diversity in the ancient polar bear suggests a severe genetic erosion over a prolonged bottleneck in modern polar bears. Statistical fitting of data to alternative admixture graph scenarios favors at least one ancient introgression event from brown bears into the ancestor of polar bears, possibly dating back over 150,000 years. Gene flow was likely bidirectional, but allelic transfer from brown into polar bear is the strongest detected signal, which contrasts with other published works. These findings may have implications for our understanding of climate change impacts: polar bears, a specialist Arctic lineage, may not only have undergone severe genetic bottlenecks, but also been the recipient of generalist, boreal genetic variants from brown bear during critical phases of Northern Hemisphere glacial oscillations. SignificanceInterspecific hybridization is a widespread phenomenon, but measuring its extent, directionality, and adaptive importance remains challenging. Ancient genomes, however, can help illuminate the history of modern organisms. Here, we present a genome retrieved from a 130,000-115,000-year-old polar bear and perform genome analyses of modern polar and brown bears throughout their geographic range. We find that the principal direction of ancient allele sharing was from brown bear into polar bear, although gene flow between them has likely been bidirectional. This inverts the current paradigm of unidirectional gene flow from polar into brown bear, and it suggests that polar bears were recipients of external genetic variation prior to their extensive population decline.

evolutionary biology↗

bioRxiv2021

Fast and reliable sgRNA efficiency testing using HIReff

CRISPR/Cas9 is the method of choice for gene editing like the endogenous knock-in of sequences in order to investigate protein function, abundance or intracellular localization. One of the crucial steps in the preparation of CRISPR/Cas9-mediated knock-ins is the design of sgRNAs, which need to be tested carefully in order to minimize off-target binding and reach highest cleavage efficiency. Usually, sgRNA is evaluated via mismatch cleavage assays, like Surveyor or T7 endonuclease 1 assay. We demonstrate that these methods are often highly cost- and time-intensive with a low sensitivity and high fail rate. As an alternative, we present a new HITI-based sgRNA efficiency (HIReff) test to precisely evaluate sgRNA efficiency. HIReff is based on a sophisticated integration vector with on-site generation of a linear donor fragment that allows a comparably easy read-out via fluorescence signal and integrates several internal controls. Next to a quantifiable sgRNA assessment, HIReff provides additional information on the gene/protein to be studied abundance, subcellular localization and promoter activity and allows derivation of fluorescence protein labeled clonal lines. We highlight benefits of HIReff in comparison to commonly used enzyme-based assays and demonstrate improved practicability and high sensitivity, while being less time-, labor- and costintensive at the same time. Our results suggest HIReff as a fast and easy-to-use alternative for sgRNA efficiency testing.

molecular biology↗

bioRxiv2021

The method of choice to knock-in large inserts via CRISPR

CRISPR/Cas9 gene editing is a revolutionary method used to study gene function by transcript silencing, knock-out, or activation. The knock-in of DNA fragments to endogenous genes of interest is another promising approach to study molecular pathways but is technically challenging. Many approaches have been suggested, but the proof of correct integration has often been relied on less convenient validation experiments. Within this work, we investigated homology-directed repair (HDR), non-homologous end joining (NHEJ), and PCRextension (PCRext) based approaches as three different methods to knock-in large DNA fragments (>1000 bp), and compared feasibility, cost effectiveness, and reliability. As a knock-in fragment, we used a fluorescent reporter sequence in order to directly assess successful integration by microscopy, subsequently proven by sequencing. For NHEJ and PCRext, we demonstrate that it is insufficient to rely on the fluorescent reporter due to false positive results. Both NHEJ and PCRext failed to reliably knock-in large DNA sequences, they were accompanied by massive generation of InDels driving the methodology cost-intensive and non-reliable. In contrast, combination of CRISPR/Cas9 and HDR revealed correct integration, proven by correct fluorescence of the subcellular localization and sequencing, and thus, corresponds to the method of choice for large fragment integration. Next to HEK293T, we demonstrate successful HDR based knock-in in human induced pluripotent stem cells (hiPSCs). Subsequent differentiation of gene-edited hiPSCs into cerebral organoids showed relevance of the approach to study subcellular protein localization and abundance in 3D tissue.

molecular biology↗

bioRxiv2020

Gene edited fluorescent cerebral organoids to study human brain function and disease

Cerebral organoids are a promising model to study human brain function and disease, though the high inter-organoid variability of the mini-brains is still challenging. To overcome this limitation, we introduce the method of labeled mixed organoids generated from two different hiPSC lines, which enables the identification of cells from different origin within a single organoid. The method combines a gene editing workflow and subsequent organoid differentiation and offers a unique tool to study gene function in a complex human 3D tissue-like model. Using a CRISPR/Cas9 gene editing approach, different fluorescent proteins were fused to {beta}-actin or lamin B1 in hiPSCs and subsequently used as a marker to identify each cell line. Mixtures of differently edited cells were seeded to induce embryoid body formation and cerebral organoid differentiation. As a consequence, the development of the 3D tissue was detectable by live confocal fluorescence microscopy and immunofluorescence staining in fixed samples. Analysis of mixed organoids allowed the identification and examination of specifically labeled cells in the organoid that belong to each of the two hiPSC donor lines. We demonstrate that a direct comparison of the individual cells is possible by having the edited and the control (or the two differentially labeled) cells within the same organoid, and thus the mixed organoids overcome the inter-organoid inhomogeneity limitations. The approach aims to pave the way for the reliable analysis of human genetic disorders by the use of organoids and to fundamentally understand the molecular mechanisms underlying pathological conditions.

cell biology↗

bioRxiv2020

Amyloid precursor protein causes fusion of promyelocytic leukemia nuclear bodies in human hippocampal areas with high plaque load

The amyloid precursor protein (APP) is a type I transmembrane protein with unknown physiological function but potential impact in neurodegeneration. The current study demonstrates that APP signals to the nucleus causing the generation of aggregates comprising its adapter protein FE65 and the tumour suppressor proteins p53 and PML. The PML nuclear body generation, known to be of relevance in virus defence and cell division, is induced and fusion occurs over time depending on APP signalling. We further show that the nuclear aggregates of APP C-terminal (APP-CT) fragments together with PML and FE65 are present in the aged human brain but not in cerebral organoids differentiated from iPS cells. Notably, human Alzheimers disease brains reveal a highly significant loss of these nuclear aggregates in areas with high plaque load compared to plaque-free areas of the same individual. Based on these results we conclude that APP-CT signalling to the nucleus takes place in the aged human brain and is potentially involved in the pathophysiology of AD. Taken the current knowledge on PML bodies into account, we hypothesize a new role for APP as a twofold virus response protein. The APP-dependent defence strategy includes A{beta}-virus interaction at the extracellular matrix and APP-CT driven PML aggregation in the nucleus to encapsulate the viral nucleic acid. This defence strategy preferentially occurs in high-plaque regions of the human brain and overstimulation of this pathway results in a pyrrhic victory.

neuroscience↗

bioRxiv2019

Feasibility of Automated Deep Learning Design for Medical Image Classification by Healthcare Professionals with Limited Coding Experience

Deep learning has huge potential to transform healthcare. However, significant expertise is required to train such models and this is a significant blocker for their translation into clinical practice. In this study, we therefore sought to evaluate the use of automated deep learning software to develop medical image diagnostic classifiers by healthcare professionals with limited coding - and no deep learning - expertise.\n\nWe used five publicly available open-source datasets: (i) retinal fundus images (MESSIDOR); (ii) optical coherence tomography (OCT) images (Guangzhou Medical University/Shiley Eye Institute, Version 3); (iii) images of skin lesions (Human against Machine (HAM)10000) and (iv) both paediatric and adult chest X-ray (CXR) images (Guangzhou Medical University/Shiley Eye Institute, Version 3 and the National Institute of Health (NIH)14 dataset respectively) to separately feed into a neural architecture search framework that automatically developed a deep learning architecture to classify common diseases. Sensitivity (recall), specificity and positive predictive value (precision) were used to evaluate the diagnostic properties of the models. The discriminative performance was assessed using the area under the precision recall curve (AUPRC). In the case of the deep learning model developed on a subset of the HAM10000 dataset, we performed external validation using the Edinburgh Dermofit Library dataset.\n\nDiagnostic properties and discriminative performance from internal validations were high in the binary classification tasks (range: sensitivity of 73.3-97.0%, specificity of 67-100% and AUPRC of 0.87-1). In the multiple classification tasks, the diagnostic properties ranged from 38-100% for sensitivity and 67-100% for specificity. The discriminative performance in terms of AUPRC ranged from 0.57 to 1 in the five automated deep learning models. In an external validation using the Edinburgh Dermofit Library dataset, the automated deep learning model showed an AUPRC of 0.47, with a sensitivity of 49% and a positive predictive value of 52%. The quality of the open-access datasets used in this study (including the lack of information about patient flow and demographics) and the absence of measurement for precision, such as confidence intervals, constituted the major limitation of this study.\n\nAll models, except for the automated deep learning model trained on the multi-label classification task of the NIH CXR14 dataset, showed comparable discriminative performance and diagnostic properties to state-of-the-art performing deep learning algorithms. The performance in the external validation study was low. The availability of automated deep learning may become a cornerstone for the democratization of sophisticated algorithmic modelling in healthcare as it allows the derivation of classification models without requiring a deep understanding of the mathematical, statistical and programming principles. Future studies should compare several application programming interfaces on thoroughly curated datasets.

bioinformatics↗

bioRxiv2019

Detecting Direct Oral Anticoagulants in Trauma Patients using Liquid Chromatography-Mass Spectrometry: a Novel Approach to Medication Reconciliation

BackgroundAccurate medication reconciliation in trauma patients is essential but difficult. Currently there is no established clinical method of detecting direct oral anticoagulants (DOACs) in trauma patients. We hypothesized that a liquid chromatography-mass spectrometry (LCMS) based assay can be used to accurately detect DOACs in trauma patients upon hospital arrival.\n\nMethodsPlasma samples were collected from 356 patients who provided informed consent including-10 healthy controls, 19 known positive or negative controls and 327 trauma patients over 65 years of age who were evaluated at our large, urban Level 1 Trauma Center. The assay methodology was developed in healthy and known controls to detect apixaban, rivaroxaban and dabigatran using LCMS and then applied to 327 samples from trauma patients. Standard medication reconciliation processes in the electronic medical record documenting DOAC usage was compared with LCMS results to determine overall accuracy, sensitivity, specificity and positive and negative predictive values (PPV, NPV) of the assay.\n\nResultsOf 356 patients, 39 were on DOACs (10.96%): 21 were on Apixaban, 14 on rivaroxaban and 4 on dabigatran. The overall accuracy of the assay for detecting any DOAC was 98.60%, with a sensitivity of 94.87% and specificity of 99.06%, (PPV 92.50% and NPV 99.37%). The assay detected apixaban with a sensitivity of 90.48% and specificity of 99.11% (PPV 86.36% and NPV 99.40%). There were three false positive results and two false negative LCMS results for apixaban. Dabigatran and rivaroxaban were detected with 100% sensitivity and specificity.\n\nConclusionsThis LCMS-based assay was highly accurate in detecting DOACs in trauma patients. Further studies need to confirm the clinical efficacy of this LCMS assay and its value for medication reconciliation in trauma patients.\n\nStudy type: diagnostic test\n\nBasic Science paper: therefore does not require a level of evidence.

pharmacology and toxicology↗

bioRxiv2018

Evolutionary implications of the first microRNA- and piRNA complement of Lepidodermella squamata (Gastrotricha)

Gastrotrichs - hairy bellies - are microscopic free-living animals inhabiting marine and freshwater habitats. Based on morphological and early molecular analyses, gastrotrichs were placed close to nematodes, but recent phylogenomic analyses have suggested their close relationship to flatworms (Platyhelminthes) within Spiralia. Small non-coding RNA data on e.g. microRNAs (miRNAs) and PIWI-interacting RNAs (piRNA) may help to resolve this long-standing question. MiRNAs are short post-transcriptional gene regulators that together with piRNAs play key roles in development. In a multi-omics approach we here used small-RNA sequencing, available transcriptome and genomic data to unravel the miRNA-and piRNA complements along with the RNAi protein machinery of Lepidodermella squamata (Gastrotricha, Chaetonotida). We identified 52 miRNA genes representing 35 highly conserved miRNA families specific to Eumetazoa, Bilateria, Protostomia, and Spiralia, respectively, with overall high similarities to platyhelminth miRNA complements. In addition, we found four large piRNA clusters that also resemble flatworm piRNAs but not those earlier described for nematodes. Congruently, transcriptomic annotation revealed that the Lepidodermella protein machinery is highly similar to flatworms, too. Taken together, miRNA, piRNA and protein data support a close relationship of gastrotrichs and flatworms.

evolutionary biology↗

bioRxiv2018

Strong and lasting impacts of past global warming on baleen whale and prey abundance

AbstractThe demography of baleen whales and their prey during the past 30 thousand years was assessed to understand the effects of past rapid global warming on marine ecosystems. Mitochondrial and genome-wide DNA sequence variation in eight baleen whale and seven prey species revealed strong, ocean-wide demographic changes that were correlated with changes in global temperatures and regional oceanographic conditions. In the Southern Ocean baleen whale and prey abundance increased exponentially and in apparent synchrony, whereas changes in abundance varied among species in the more heterogeneous North Atlantic Ocean. The estimated changes in whale abundance correlated with increases in the abundance of prey likely driven by reductions in sea-ice cover and an overall increase in primary production. However, the specific regional oceanographic environment, trophic interactions and species ecology also appeared to play an important role. Somewhat surprisingly the abundance of baleen whales and prey continued to increase for several thousand years after global temperatures stabilized. These findings warn of the potential for dramatic, long-term effects of current climate changes on the marine ecosystem.\n\nOne Sentence SummaryThe effects of past global warming on marine ecosystems were drastic, system-wide and long-lasting.

evolutionary biology↗