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Dong, Y.

Publications and source records attributed to Dong, Y..

At least 145 records · Page 8Linked to original sources

Transcription factor binding site divergence across maize inbred lines drives transcriptional and phenotypic variation

Regulatory elements are important constituents of plant genomes that have shaped ancient and modern crops. Their identification, function, and diversity in crop genomes however are poorly characterized, thus limiting our ability to harness their power for further agricultural advances using induced or natural variation. Here, we use DNA affinity purification-sequencing (DAP-seq) to map transcription factor (TF) binding events for 200 maize TFs belonging to 30 distinct families and heterodimer pairs in two distinct inbred lines historically used for maize hybrid plant production, providing empirical binding site annotation for 5.3% of the maize genome. TF binding site comparison in B73 and Mo17 inbreds reveals widespread differences, driven largely by structural variation, that correlate with gene expression changes. TF binding site presence-absence variation helps clarify complex QTL such as vgt1, an important determinant of maize flowering time, and DICE, a distal enhancer involved in herbivore resistance. Modification of TF binding regions via CRISPR-Cas9 mediated editing alters target gene expression and phenotype. Our functional catalog of maize TF binding events enables collective and comparative TF binding analysis, and highlights its value for agricultural improvement.

plant biology↗

Amd1-skp2 cascade regulates hepatocyte proliferation during liver growth and hepatocellular carcinoma development in zebrafish

Rapid hepatocyte proliferation is a common characteristic of liver growth in early liver development and hepatocellular carcinoma (HCC). Clarifying the mechanism how liver growth is regulated in development would benefit studying HCC progress. Although many genes have been reported to be involved in liver growth during early development, the mechanism underlying liver growth is far from being elucidated. Here we found that the liver undergoes rapid growth from 2dpf to 5dpf in zebrafish. Comparing the transcriptome for different staged hepatocytes identified 813 hepatocyte enriched genes at 3 dpf. Among them, S-adenosylmethionine decarboxylase proenzyme (AMD1) had not been previously reported to be involved in liver development. Our study further confirmed that amd1 was highly enriched in hepatocytes during liver rapid growth and that amd1 mutation inhibited liver growth mainly by repressing hepatocyte proliferation. Mechanistically, amd1 loss of function downregulated the expression of skp2, and skp2 is required for amd1 to regulate hepatocyte proliferation. Furthermore, the role of Amd1-Skp2 cascade in regulating hepatocyte proliferation was also conserved in a zebrafish HCC model. In conclusion, our study systematically identified some uncharacterized genes possibly being involved in regulating liver growth during zebrafish development, and revealed the role of amd1-skp2 cascade in regulating hepatocyte proliferation during liver growth and HCC progression. This work also provided a database which would benefit elucidating the mechanism how hepatocyte proliferation is regulated during liver growth and HCC progress.

developmental biology↗

Microbiota-dependent in vivo biotransformation, accumulation, and excretion of arsenic from arsenobetaine-rich diet

Arsenic (As) is a naturally occurring metalloid that is ubiquitous in the environment. Various chemical forms of As, collectively referred to as "As species", find their way into the food chain, impacting the health of millions globally. Many of these As species are products of bacterial enzymatic transformations in different environments. Yet, the in vivo gut microbial transformation of As and its consequences in the host, especially for less toxic As species like arsenobetaine (AB), remain elusive. Current regulatory assessments regard AB-rich foods, including various seafoods, as safe due to low toxicity and rapid unmodified urinary excretion of the ingested AB. This notion has been challenged by reports of AB metabolism by intestinal bacteria in vitro and by more recent evidence of in vivo AB metabolism in mice. However, these studies did not definitively establish the causal role of intestinal bacteria in AB transformation in vivo. To address this, we employed gnotobiology that allowed us to compare the biotransformation of As from a naturally AB-rich rodent diet in isogenic mice that were either completely germ-free, or colonized with gut microbiota of varying microbial diversity. Additionally, we examined the body distribution, accumulation, and clearance of the ingested As in these mice. Our results confirm the in vivo metabolism of AB in the intestine under chronic dietary exposure. The transformation of ingested As was found to be dependent on the presence/absence and complexity of the gut microbiota. Notably, specific toxic As species were absent under germ-free condition. Furthermore, gut microbial colonization was linked to increased As accumulation in the intestinal lumen as well as systemically, along with delayed clearance from the body. These findings emphasize the mammalian gut microbiota as a critical factor in evaluating the safety of AB-accumulating seafoods.

pharmacology and toxicology↗

Asymmetric binding of coactivator SRC1 to FXR-RXR and allosteric communication within the complex

Farnesoid X receptor (FXR) is a promising target for treatment of metabolic associated fatty liver disease (MAFLD). In this study, we employed an integrative approach to investigate the interaction between FXR-RXR-hSHP-1 complex and the entire coactivator SRC1-NRID (nuclear receptor interaction domain). We constructed a multi-domain model of FXR120-RXR98-hSHP-1, highlighting the interface between FXR-DBD and LBD. Using HDX-MS, XL-MS, and biochemical assays, we revealed the allosteric communications in FXR-RXR-hSHP-1 upon agonist and DNA binding. We then demonstrated that SRC1 binds only to the coactivator binding surface of FXR within the FXR-RXR heterodimer, with the NR-box2 and NR-box3 of SRC1 as the key binding motifs. Our findings, which provide the first model of SRC1-NRID in complex with FXR-RXR-hSHP-1, shed light on the molecular mechanism through which the coactivator asymmetrically interacts with nuclear receptors and provide structural basis for further understanding the function of FXR and its implications in diseases.

biophysics↗

Protein S-glutathionylation confers cell resistance to ferroptosis

Ferroptosis is a type of cell death that is strongly associated with the cellular redox state. Glutathione is the key to buffering lipid peroxidation in ferroptosis and can also modify proteins by S-glutathionylation under oxidative stress. Here, we showed that the strong associations among glutathione pools, protein S-glutathionylation, and susceptibility to ferroptosis existed broadly in ferroptosis induced by erastin or acetaminophen. Deficiency of CHAC1, a glutathione-degrading enzyme, led to decreased glutathione pools and reduced protein S-glutathionylation, improved liver function and attenuated hepatocyte ferroptosis upon acetaminophen challenge, which could be retarded by CHAC1 overexpression. We conducted quantitative redox proteomics in primary mouse hepatocytes to identify glutathione pool-sensitive S-glutathionylated proteins and found that S-glutathionylation is required to maintain the function of ADP-ribosylation factor 6 (ARF6). Our data suggest that aberrant ARF6 S-glutathionylation increases the labile iron pool by delaying the recycling of transferrin receptors, thereby promoting ferroptosis. Our study reveals the importance of protein S-glutathionylation in conferring cell resistance to ferroptosis. O_FIG O_LINKSMALLFIG WIDTH=186 HEIGHT=200 SRC="FIGDIR/small/592374v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@82dbaeorg.highwire.dtl.DTLVardef@1247cc5org.highwire.dtl.DTLVardef@7b7147org.highwire.dtl.DTLVardef@49ff07_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTSO_LIHighly upregulated CHAC1 decreases glutathione pools and protein S-glutathionylation. C_LIO_LIReduced protein S-glutathionylation associated with decreased glutathione pools promotes ferroptosis. C_LIO_LIS-glutathionylation of ARF6 at Cys90 promotes ARF6 activation. C_LIO_LIReduced S-glutathionylation of ARF6 provides a labile iron pool to drive ferroptosis. C_LI

cell biology↗

Exploring differences between depression and bipolar disorder through the urinary proteome

How to differentiate the diagnosis of depression and bipolar disorder has always been an important problem that needs to be solved urgently in clinical practice. In this study, from the perspective of urine proteomics, urine samples of similar age were collected from two hospitals to investigate the candidate biomarkers for differentiating the diagnosis of depression and bipolar disorder using both group analysis and one-to-many analysis(1 patient: many control samples). The experimental results of the paired group analysis showed that 108 differential proteins were identified in the depressed group compared to the bipolar group under strict screening conditions with screening criteria of FC [&ge;] 2 or [&le;] 0.5 and a two-tailed unpaired t-test of P < 0.01, with an average of 3.7 randomly generated differential proteins, and a confidence level of 96.6 % for the correlation between these proteins and the disease difference. In the one-to-many analysis, 24 differential proteins were co-identified by the samples of 13 depressed patients, 16 of which showed a completely consistent trend of expression changes in all depressed patients studied, and 6 of which were associated with immunoglobulins; 41 differential proteins were co-identified by the samples of 12 depressed patients out of 13, and 19 of which showed a completely consistent trend of expression change in the These results reflect the strong consistency of differential proteins between the two groups of patients. 12 or more samples from depressed patients were enriched for differential proteins related to multiple biological processes and signaling pathways associated with the immune system, which is consistent with previous studies: immune mechanisms may be one of the pathogenetic mechanisms of major depression and that drugs with major immune targets can improve depressive symptoms. In the future, it may be possible to observe the immune status of patients with depression to provide direction and basis for the precise treatment of depression. The results of this paper show that urine proteomics can differentiate between depression and bipolar disorder, suggest possible mechanisms and potential targets for the treatment of depression and bipolar disorder, and provide a tool for future differential diagnosis and precision treatment of the diseases.

biochemistry↗

12/15-Lipoxygenases mediate neuropathic-like pain hypersensitivity in female mice

It is estimated that chronic neuropathic pain conditions exhibit up to 10% prevalence in the general population, with increased incidence in females. However, nonsteroidal inflammatory drugs (NSAIDs) are ineffective, and currently indicated prescription treatments such as opioids, anticonvulsants, and antidepressants provide only limited therapeutic benefit. In the current work, we extended previous studies in male rats utilizing a paradigm of central Toll-like receptor 4 (TLR4)-dependent, NSAID-unresponsive neuropathic-like pain hypersensitivity to male and female C57BL/6N mice, uncovering an unexpected hyperalgesic phenotype in female mice following intrathecal (IT) LPS. In contrast to previous reports in female C57BL/6J mice, female C57BL/6N mice displayed tactile and cold allodynia, grip force deficits, and locomotor hyperactivity in response to IT LPS. Congruent with our previous observations in male rats, systemic inhibition of 12/15-Lipoxygenases (12/15-LOX) in female B6N mice with selective inhibitors - ML355 (targeting 12-LOX-p) and ML351 (targeting 15-LOX-1) - completely reversed allodynia and grip force deficits. We demonstrate here that 12/15-LOX enzymes also are expressed in mouse spinal cord and that 12/15-LOX metabolites produce tactile allodynia when administered spinally (IT) or peripherally (intraplantar in the paw, IPLT) in a hyperalgesic priming model, similar to others observations with the cyclooxygenase (COX) metabolite Prostaglandin E2 (PGE2). Surprisingly, we did not detect hyperalgesic priming following IT administration of LPS, indicating that this phenomenon likely requires peripheral activation of nociceptors. Collectively, these data suggest that 12/15-LOX enzymes contribute to neuropathic-like pain hypersensitivity in rodents, with potential translatability as druggable targets across sexes and species using multiple reflexive and non-reflexive outcome measures.

pharmacology and toxicology↗

Examining Cognitive Performance in Mice using the Open-Source Operant Feeding Device FED3

Cognitive impairments are prevalent in various neurological disorders, including chronic pain conditions, and pose significant therapeutic challenges. Preclinical rodent models serve as valuable tools for investigating the underlying mechanisms of and treatments for cognitive dysfunction. However, factors such as stress, age, sex, and disease duration present challenges to reliably capturing cognitive deficits in rodents. Here, we present a comprehensive and high-throughput protocol utilizing the open-source operant Feeding Experimentation Device 3 (FED3) for assessing cognitive performance in mice. We developed a data pipeline to streamline data compilation and analysis, and established operating conditions for a six-test cognitive battery which can be completed in as few as 20 days. We validated our testing procedures using bilateral orbitofrontal cortical lesions to capture deficits in executive function, and demonstrated the feasibility of assessing cognitive function in aged mice of both sexes to identify genotypic and sex-specific effects. Overall, our findings demonstrate that the FED3 is a versatile tool for evaluating cognitive function in mice, offering a low-cost, high-throughput approach for preclinical studies of neurological disorders. We anticipate that this protocol will facilitate broader implementation of cognitive testing in rodent models and contribute to the understanding and treatment of cognitive dysfunction in neurological diseases.

neuroscience↗

Pro-renin Receptor Inhibited ABCA1/G1 Expression Associated with Low HDL-c and Promoted Atherosclerosis

Background(Pro)renin receptors [(P)RR] binding both renin and its inactive proenzyme for prorenin induce increasing the efficiency of angiotensin I conversion and the production of angiotensin II (Ang II). Recently, (P)RR was reported to played a pathological role in diabetic renal disease independent of Ang II. Ang II is involved in lipid metabolism and atherosclerosis, but the (P)RR participation in atherosclerosis remains unclear. Thus, the objective of this study was to examine the relative importance of Ang II-independent actions of (P)RR and its mechanism in the development of atherosclerosis. MethodsClinical demographic characteristics and laboratory profile data of 1189 essential hypertensive were collected. Patients were divided into four groups based on the quartiles of plasma renin activity (PRA). The plasma lipoprotein levels of four groups were compared. Furthermore, we examined serum and liver lipoprotein levels, as well as ATP-binding cassette transporter A1 (ABCA1) and ATP-binding cassette transporter G1 (ABCG1) expression in ApoE-/- mice treated with prorenin. ABCA1 and ABCG1 expression and their function in mediating cholesterol efflux were evaluated in THP-1 cells by prorenin treatment. Agonists of the peroxisome proliferator-activated receptor-{gamma} (PPAR-{gamma}) and liver X receptor (LXR) were used to investigate the mechanism involved in vitro. ResultsPlasma TC, TG, LDL-c, and apoB were significantly increased, and HDL-c and apoA were dramatically decreased with a trend of higher plasma renin activity (PRA) ( all P < 0.05) in hypertensive patients. Prorenin accelerated atherosclerosis by inhibiting mRNA and protein expression of ABCA1/ABCG1 in the liver of ApoE-/- mice. Prorenin binding to (P)RR inhibited the functions of ABCA1- and ABCG1-mediated cholesterol efflux. Furthermore, Prorenin reduced ABCA1/G1 expression of THP-1 cells through PPAR{gamma}/LXR pathway. Conclusions(P)RR activated by prorenin inhibited the expression of ABCA1/ABCG1 through the PPAR{gamma}/LXR pathway and the functions of ABCA1- and ABCG1-mediated cholesterol efflux, resulting in dyslipidemia and eventually atherosclerosis. HighlightsWith RPA increases in hypertension, plasma TC, TG, LDL-c, and apoB were higher, while HDL-c and apoA were lower. Prorenin binding to (P)RR accelerated atherosclerosis by inhibiting ABCA1/G1 expression and function. Prorenin reduced ABCA1/G1 expression of THP-1 cells through PPAR{gamma}/LXR pathway.

pathology↗

An EEG Signature of MCH Neuron Activities Predicts Cocaine Seeking

BackgroundIdentifying biomarkers that predict substance use disorder (SUD) propensity may better strategize anti-addiction treatment. The melanin-concentrating hormone (MCH) neurons in the lateral hypothalamus (LH) critically mediates interactions between sleep and substance use; however, their activities are largely obscured in surface electroencephalogram (EEG) measures, hindering the development of biomarkers. MethodsSurface EEG signals and real-time Ca2+ activities of LH MCH neurons (Ca2+MCH) were simultaneously recorded in male and female adult rats. Mathematical modeling and machine learning were then applied to predict Ca2+MCH using EEG derivatives. The robustness of the predictions was tested across sex and treatment conditions. Finally, features extracted from the EEG-predicted Ca2+MCH either before or after cocaine experience were used to predict future drug-seeking behaviors. ResultsAn EEG waveform derivative - a modified theta-to-delta ratio (EEG Ratio) - accurately tracks real-time Ca2+MCH in rats. The prediction was robust during rapid eye movement sleep (REMS), persisted through REMS manipulations, wakefulness, circadian phases, and was consistent across sex. Moreover, cocaine self-administration and long-term withdrawal altered EEG Ratio suggesting shortening and circadian redistribution of synchronous MCH neuron activities. In addition, features of EEG Ratio indicative of prolonged synchronous MCH neuron activities predicted lower subsequent cocaine seeking. EEG Ratio also exhibited advantages over conventional REMS measures for the predictions. ConclusionsThe identified EEG Ratio may serve as a non-invasive measure for assessing MCH neuron activities in vivo and evaluating REMS; it may also serve as a potential biomarker predicting drug use propensity.

neuroscience↗

SHOOTMERISTEMLESS autoactivation: A prerequisite for fruit metamorphosis

In animals and plants, organ shape is primarily determined during primordium development by carefully coordinated growth and cell division1-3. Rare examples of post-primordial change in morphology (reshaping) exist that offer tractable systems to study mechanisms required for organ-shape determination and diversification. One such example is the heart-shape formation of Capsella fruits that occurs by reshaping the ovate spheroid gynoecium upon fertilization4. Here we use whole-organ live-imaging to show that dynamic changes in growth and cell division coupled with local maintenance of meristematic identity drives Capsella fruit-shape formation. At the molecular level, we reveal an auxin-induced mechanism ultimately descending on a single cis regulatory element to mediate morphological alteration. This element resides in the promoter of the Capsella rubella SHOOTMERISTEMLESS5 (CrSTM) gene. The CrSTM meristem identity factor positively regulates its own expression through binding to this element thereby providing a feed-forward loop at the position and time when protrusions emerge to form the heart. Independent evolution of the STM-binding element in STM promoters across Brassicaceae species correlates with those undergoing a gynoecium-to-fruit metamorphosis. Accordingly, genetic and phenotypic studies showed that the STM-binding element is required to facilitate the shape transition and reveals a conserved molecular mechanism for organ morphogenesis.

plant biology↗

Population genomics of the rice landrace Acuce reveals exceptional dynamics of immune receptors

In cultivated plants such as Oryza sativa, landraces harbour high levels of diversity, in sharp contrast with genetically uniform modern varieties. The Yuanyang terraces (China) are renowned for traditional farming involving landraces and low disease incidence. To understand the molecular basis of these resistance levels, we explored the genomic diversity of Acuce, one of the oldest landraces in the region. Based on whole-genome resequencing of over 200 Acuce plants, we evaluated the diversity of immunity and agronomical genes with respect to the rest of the genome. In parallel, we analysed the genetic basis of pathogen resistance and agronomical traits. Acuce exhibits high levels of diversity, reaching 38% of the worldwide levels. We uncovered an excess of diversity and signatures of directional selection associated with immunity genes, in contrast with agricultural traits. Furthermore, cultures of mixed genotypes exhibited superior performances for both pathogen resistance and agricultural traits. We showed that, within one single landrace, traditional farmer practices selected optimal agricultural traits while maintaining diversity enabling pathogen resistance. This study elucidates the complex interplay between genetic diversity, natural selection related to pathogens, and selection for agricultural traits within traditional landraces, providing insights into sustainable agricultural practices in diverse cropping systems.

genomics↗

Dose escalation pre-clinical trial of novel Dok7-AAV in mouse model of DOK7 congenital myasthenia

Congenital myasthenic syndromes (CMS) are a group of inherited disorders characterised by defective neuromuscular transmission and fatigable muscle weakness. Mutations in DOK7, a gene encoding a post-synaptic protein crucial in the formation and stabilisation of the neuromuscular junction (NMJ), rank among the leading three prevalent causes of CMS in diverse populations globally. The majority of DOK7 CMS patients experience varying degrees of disability despite receiving optimised treatment, necessitating the development of improved therapeutic approaches. Here we executed a dose escalation pre-clinical trial using a DOK7-CMS mouse model to assess the efficacy of Amp-101, an innovative AAV gene replacement therapy. Amp-101 is based on AAVrh74 and contains human DOK7 cDNA under the control of a muscle-restricted promoter. We show that at doses 6x1013vg/kg and 1x1014 vg/kg, Amp-101 generated enlarged NMJs and rescued the very severe phenotype of the model. Treated mice became at least as strong as WT littermates and the diaphragm and tibialis anterior muscles displayed robust expression of DOK7. This data suggests that Amp-101 is a promising candidate to move forward to clinic trials.

neuroscience↗

Large-scale multi-omics analyses identified root-microbiome associations underlying plant nitrogen nutrition

The microbiome determines the performance and fitness of the host plant. Nevertheless, the causal interaction between host genetic variation, gene regulation and the impact of the microbiome on the host phenotype remain unknown. Here we generated 1,341 paired root transcriptome, rhizosphere microbiome and root ionome samples and performed a multi-omics analyses of the host-microbe association at the root-soil interface using 175 rapeseeds (Brassica napus L.) resequenced ecotypes at two field environments. We observed the highest statistically explained variance for root nitrogen uptake among natural ionomic variation by overall transcriptome-wide gene expression and microbial abundance variation. Moreover, we identified significant genome-wide associations for 203 highly heritable amplicon sequence variants (ASVs) at multiple genetic loci regulated by eQTL hotspots associated with nitrogen metabolism components. These associations involved a central bacterial genus (Sphingopyxis), which plays a dominant role on gene regulatory effect on its variation regulated by eQTL hotspots. In addition, we performed high-throughput bacterial cultivation from rapeseed roots and subjected Sphingopyxis to whole genome sequencing. Finally, targeted metabolite profiling and confocal imaging assays demonstrated a host-microbiome regulatory effect on Sphingopyxis established by lateral root development and plant nitrogen nutrition. In summary, our integrative approach reveals the genetic basis of host-microbiome trait associations in the transcriptional, nutritional and environmental domains and suggests that the microbiome might have causal effects on root development with implications towards the breeding of nutrient-efficient crops.

plant biology↗

3D Bioprinting of Human Neural Tissues with Functional Connectivity

Probing how the human neural networks operate is hindered by the lack of reliable human neural tissues amenable for dynamic functional assessment of neural circuits. We developed a 3D bioprinting platform to assemble tissues with defined human neural cell types in a desired dimension using a commercial bioprinter. The printed neuronal progenitors differentiate to neurons and form functional neural circuits in and between tissue layers with specificity within weeks, evidenced by the cortical-to-striatal projection, spontaneous synaptic currents and synaptic response to neuronal excitation. Printed astrocyte progenitors develop into mature astrocytes with elaborated processes and form functional neuron-astrocyte networks, indicated by calcium flux and glutamate uptake in response to neuronal excitation under physiological and pathological conditions. These designed human neural tissues will likely be useful for understanding the wiring of human neural networks, modeling pathological processes, and serving as platforms for drug testing.

bioengineering↗

Epsins promote atherosclerosis through VSMC phenotypic modulation

Smooth muscle cells in major arteries play a crucial role in regulating coronary artery disease. Conversion of smooth muscle cells into other adverse cell types in the artery propels the pathogenesis of the disease. Curtailing artery plaque buildup by modulating smooth muscle cell reprograming presents us a new opportunity to thwart coronary artery disease. Here, our report how Epsins, a family of endocytic adaptor proteins oversee the smooth muscle cell reprograming by influencing master regulators OCT4 and KLF4. Using single-cell RNA sequencing, we characterized the phenotype of modulated smooth muscle cells in mouse atherosclerotic plaque and found that smooth muscle cells lacking epsins undergo profound reprogramming into not only beneficial myofibroblasts but also endothelial cells for injury repair of diseased endothelium. Our work lays concrete groundwork to explore an uncharted territory as we show that depleting Epsins bolsters smooth muscle cells reprograming to endothelial cells by augmenting OCT4 activity but restrain them from reprograming to harmful foam cells by destabilizing KLF4, a master regulator of adverse reprograming of smooth muscle cells. Moreover, the expression of Epsins in smooth muscle cells positively correlates with the severity of both human and mouse coronary artery disease. Integrating our scRNA- seq data with human Genome-Wide Association Studies (GWAS) identifies pivotal roles Epsins play in smooth muscle cells in the pathological process leading to coronary artery disease. Our findings reveal a previously unexplored direction for smooth muscle cell phenotypic modulation in the development and progression of coronary artery disease and unveil Epsins and their downstream new targets as promising novel therapeutic targets for mitigating metabolic disorders.

cell biology↗

Climate change has desynchronized insect and vegetation phenologies across Europe

Climate change is drastically affecting the phenologies of species worldwide, including shifts in development1-3. The potential impact of climate change on the synchronicity of plant-insect phenology is particularly concerning since the stability of pollination networks and food chains depends on their tight temporal dependencies4-6. Furthermore, the recently reported "insect armageddon"7 makes it urgent to establish trends and identify primary drivers of plant-insect phenological synchrony. Here, coupling high-resolution remote sensing and citizen science data across Europe over 34 years, we examine the differences in occurrence dates of 1,584 herbivorous insects across four orders and the corresponding dates of leaf unfolding. We find that 61.2% of the vegetation and insect phenologies have become highly asynchronous, with vegetation phenology advancing four-fold faster than insect phenology. These trends were modulated by insects life-cycles and taxonomic order. A primary driver of this phenological mismatch is the higher sensitivity of vegetation phenology than insect phenology to climate, which has prevented insects from matching the pace of plant phenological advance in the growing season. Our analyses provide a unique continental overview and underlying mechanisms of the asynchronicity between vegetation and insect phenologies, thus enhancing our ability to predict and manage its potential cascading ecological effects.

ecology↗

Pipeline for species-resolved full-length16S rRNA amplicon nanopore sequencing analysis of low-complexity bacterial microbiota

16S rRNA amplicon sequencing is a fundamental tool for characterizing prokaryotic microbial communities. While short-read 16S rRNA sequencing is a proven standard for examining complex microbiomes, it cannot achieve taxonomic classification beyond genus level. Third-generation sequencing technologies, particularly nanopore sequencing, have allowed for full-length 16S rRNA gene sequencing enabling enhanced taxonomic resolution to species and strain levels. Precise species-to-strain level classification is crucial in investigating low-complexity microbiota. This research presents an efficient pipeline using full-length 16S rRNA amplicon nanopore sequencing, spanning library prep to computational analysis for low-complexity microbiota composition analysis. We applied this pipeline to a defined intestinal bacterial community in gnotobiotic mice to evaluate different methods. Our findings revealed that the proprietary barcoded universal primers 27F-1492R from Oxford Nanopore Technologies(ONT) 16S amplicon sequencing kit did not efficiently amplify the 16S rRNA gene of Bifidobacterium species. Addressing this constraint, we designed degenerate primers and employed ONTs native barcoding kit for library preparation. We developed a customized wet lab and bioinformatics pipeline for processing and classifying amplicon reads at the species level. Validation of the protocol using a mock community DNA sample with known composition confirmed a reduced analytical bias. Additionally, our method surpassed Illumina short-read V3-V4 amplicon sequencing, achieving accurate species-level classification compared to Illuminas genus-level accuracy. This pipeline is tailored for analyzing the composition of low-complexity microbiota from natural ecosystems and synthetic/gnotobiotic communities. It is cost- and time-effective and therefore accessible for small-scale studies that would otherwise be hindered by the typically long turnaround times of NGS services. Importance16S rRNA amplicon sequencing is conventionally used to identify microbes and determine their composition in microbial communities. Deep amplicon sequencing of complex microbiomes is well established using short-read sequencing targeting variable regions of the 16S rRNA gene. Short reads enable the classification of bacteria until the genus level in the taxa hierarchy, whereas long reads provide better chances of identifying bacteria to species and even strain levels. This study introduces a streamlined approach for analyzing simple microbial communities using full-length 16S rRNA amplicon nanopore long read sequencing. This approach surpasses Illumina sequencing in species accuracy, is cost-effective and time-efficient. Tailored for low-complexity microbiota, it facilitates studies in natural or synthetic communities, especially beneficial for smaller-scale projects with limited resources.

bioinformatics↗