Biology subjects

Johnson, L.

Publications and source records attributed to Johnson, L..

At least 37 records · Page 2Linked to original sources

bioRxiv2023

Grove-level analysis of titer and prevalence of Candidatus Liberibacter asiaticus and Wolbachia in Diaphorina citri, vector of citrus Huanglongbing

Huanglongbing (HLB, or citrus greening disease) affects all citrus varieties world-wide. In the USA, Asia, and South America the causal agent is "Candidatus Liberibacter asiaticus" (CLas), a phloem-limited, uncultured, alphaproteobacterium. The hemipteran insect vector, Diaphorina citri (Asian citrus psyllid) acquires and transmits CLas in a circulative, propagative manner. In addition to CLas, D. citri hosts multiple symbiotic bacterial species including Wolbachia (wDi). In D. citri, wDi has been sequenced and studied but specific roles in D. citri biology are unknown. Using well established quantitative PCR methods we measured CLas titer in D. citri collected from four groves in central Florida with distinct HLB management strategies and tested whether CLas and wDi titer were correlated in a sub-set of these insects. Grove site had the largest effect on CLas titer. Sex had no effect on CLas titer, while higher wDi titer was correlated with non-infected insects. Our results suggest that more directed follow-up research is necessary and important to clarify whether field management tactics influence CLas titer in D. citri and to better understand gene-by-environment interactions among D. citri, wDi and CLas. Now that millions of trees in Florida have been treated with injectable formulations of oxytetracycline, which is likely to decrease bacterial populations in D. citri, this study may represent the last biologically meaningful snapshot of grove-level vector-pathogen ecology in the state during the HLB epidemic.

plant biology↗

bioRxiv2023

Characterization of low copy number human angiotensin-convertase 2 (hACE2)-transgenic mice as an improved model of SARS-CoV-2 infection

Coronaviridae are significant human pathogens, as evidenced by several outbreaks of severe respiratory infections in the past 20 years and culminating with the COVID-19 pandemic. Mouse models of COVID-19 have included transgenic expression of the main SARS coronavirus entry receptor on human cells, human angiotensin-converting enzyme 2 (hACE2). However, the original hACE2-Tg mouse strain overexpresses many copies of the transgene, leading to neuropathology not representative of human infection. Aiming to improve physiological relevance, we generated two new lines of hACE2-Tg mice using the original transgene construct expressing hACE2 under the control of the keratin 18 promoter (K18-hACE2). We show that relative to the original strain, which expressed 8 copies of the transgene (8-hACE2-Tg), lines 1 and 2 expressed 1 and 2 copies of the transgene (1-hACE-2-Tg and 2-hACE-2-Tg, respectively). Upon intranasal (i.n.) infection with 103 plaque-forming units (pfu) SARS-CoV-2 WA-1/US, 8-hACE2-Tg mice succumbed to infection by d. 7. 2-hACE2-Tg mice exhibited 31% survival, with less viral replication in the lung and brain when compared to 8-hACE2-Tg mice. Furthermore, SARS-CoV-2 infection in 1-hACE2-Tg mice exhibited no mortality and had no detectable virus in the brain, although they did show clear virus replication in the lung. All three mouse strains analyzed showed SARS-CoV-2-related weight loss that tracked with the mortality rates. 1-hACE2-Tg mice mounted detectable primary and memory T effector cell and antibody responses. We conclude that these strains, particularly 1-hACE2-Tg mice, provide improved models to study hACE2-mediated viral infections.

immunology↗

bioRxiv2023

How can graph theory inform the dual-stream model of speech processing? a resting-state fMRI study of post-stroke aphasia

The dual-stream model of speech processing has been proposed to represent the cortical networks involved in speech comprehension and production. Although it is arguably the prominent neuroanatomical model of speech processing, it is not yet known if the dual-stream model represents actual intrinsic functional brain networks. Furthermore, it is unclear how disruptions after a stroke to the functional connectivity of the dual-stream models regions are related to specific types of speech production and comprehension impairments seen in aphasia. To address these questions, in the present study, we examined two independent resting-state fMRI datasets: (1) 28 neurotypical matched controls and (2) 28 chronic left-hemisphere stroke survivors with aphasia collected at another site. Structural MRI, as well as language and cognitive behavioral assessments, were collected. Using standard functional connectivity measures, we successfully identified an intrinsic resting-state network amongst the dual-stream models regions in the control group. We then used both standard functional connectivity analyses and graph theory approaches to determine how the functional connectivity of the dual-stream network differs in individuals with post-stroke aphasia, and how this connectivity may predict performance on clinical aphasia assessments. Our findings provide strong evidence that the dual-stream model is an intrinsic network as measured via resting-state MRI, and that weaker functional connectivity of the hub nodes of the dual-stream network defined by graph theory methods, but not overall average network connectivity, is weaker in the stroke group than in the control participants. Also, the functional connectivity of the hub nodes predicted specific types of impairments on clinical assessments. In particular, the relative strength of connectivity of the right hemispheres homologues of the left dorsal stream hubs to the left dorsal hubs versus right ventral stream hubs is a particularly strong predictor of post-stroke aphasia severity and symptomology.

neuroscience↗

bioRxiv2023

Histone Deacetylases (HDACs) maintain expression of the pluripotent gene network via recruitment of RNA polymerase II to coding and non-coding loci

Histone acetylation is a dynamic modification regulated by the opposing actions of histone acetyltransferases (HATs) and histone deacetylases (HDACs). Deacetylation of histone tails results in chromatin tightening and therefore HDACs are generally regarded as transcriptional repressors. Counterintuitively, simultaneous deletion of Hdac1 and Hdac2 in embryonic stem cells (ESC) reduced expression of pluripotent transcription factors, Oct4, Sox2 and Nanog (OSN). By shaping global histone acetylation patterns, HDACs indirectly regulate the activity of acetyl-lysine readers, such as the transcriptional activator, BRD4. We used inhibitors of HDACs and BRD4 (LBH589 and JQ1 respectively) in combination with precision nuclear run-on and sequencing (PRO-seq) to examine their roles in defining the ESC transcriptome. Both LBH589 and JQ1 caused a marked reduction in the pluripotent network. However, while JQ1 treatment induced widespread transcriptional pausing, HDAC inhibition caused a reduction in both paused and elongating polymerase, suggesting an overall reduction in polymerase recruitment. Using enhancer RNA (eRNA) expression to measure enhancer activity we found that LBH589-sensitive eRNAs were preferentially associated with super-enhancers and OSN binding sites. These findings suggest that HDAC activity is required to maintain pluripotency by regulating the OSN enhancer network via the recruitment of RNA polymerase II.

molecular biology↗

bioRxiv2023

ApoE4 drives maladaptive heterogeneity and immunometabolic responses of astrocytes

Apolipoprotein E4 (APOE4) is the strongest risk allele associated with the development of late onset Alzheimers disease (AD). Across the CNS, astrocytes are the predominant expressor of APOE while also being critical mediators of neuroinflammation and cerebral metabolism. APOE4 has been consistently linked with dysfunctional inflammation and metabolic processes, yet insights into the molecular constituents driving these responses remain unclear. Utilizing complementary approaches across humanized APOE mice and isogenic human iPSC astrocytes, we demonstrate that ApoE4 alters the astrocyte immunometabolic response to pro-inflammatory stimuli. Our findings show that ApoE4-expressing astrocytes acquire distinct transcriptional repertoires at single-cell and spatially-resolved domains, which are driven in-part by preferential utilization of the cRel transcription factor. Further, inhibiting cRel translocation in ApoE4 astrocytes abrogates inflammatory-induced glycolytic shifts and in tandem mitigates production of multiple pro-inflammatory cytokines. Altogether, our findings elucidate novel cellular underpinnings by which ApoE4 drives maladaptive immunometabolic responses of astrocytes.

neuroscience↗

bioRxiv2023

Home-field advantage affects the local adaptive interaction between Andropogon gerardii ecotypes and rhizobiome

Due to climate change, drought frequencies and severities are predicted to increase across the United States. Plant responses and adaptation to stresses depend on plant genetic and environmental factors. Understanding the effect of those factors on plant performance is required to predict the species responses to environmental change. We used reciprocal gardens planted with distinct regional Andropogon gerardii ecotypes adapted to dry, mesic, and wet environments to characterize their rhizosphere communities using 16S rRNA metabarcode sequencing. Even though the local microbial pool was the main driver of these rhizosphere communities, the significant plant ecotype effect highlighted active microbial recruitment in the rhizosphere driven by ecotype or plant genetic background. Our data also suggest that ecotypes were more successful in recruiting rhizosphere community members unique to their local homesites, supporting the "home field advantage" hypothesis. These unique homesite microbes may represent microbial specialists that are linked to plant stress responses. Further, our data support ecotypic variation in the recruitment of congeneric but distinct bacterial variants, highlighting the nuanced effects of plant ecotypes on the rhizosphere microbiome recruitment. Our results should facilitate expanded studies on understanding the complexity of plant host interactions with local soil microbes and identification of functional potential of recruited microbes. Our study has the potential to aid in predicting ecosystem responses to climate change and the impact of management on restoration practices. ImportanceIn this study, we used reciprocal gardens located across a sharp precipitation gradient to characterize rhizosphere communities of distinct dry, mesic, and wet regional Andropogon gerardii ecotypes. We used16S rRNA amplicon sequencing and focused oligotyping analysis and showed that even though the location was the main driver of the microbial communities, ecotypes could potentially recruit distinct bacterial populations. We showed that different A. gerardii ecotypes were more successful in overall community recruitment and recruitment of microbes unique to the "home" environment, when growing at their "home site". We found evidence for "home field advantage" interactions between the host and associated rhizobiomes, and the capability of ecotypes to recruit specialized microbes that were potentially linked to plant stress responses. Our study provides insights into the understanding of factors effecting the plant adaptation, improving management strategies, and predicting of the future landscape under the changing climate.

microbiology↗

bioRxiv2022

Culturomics of Andropogon gerardii rhizobiome revealed nitrogen transforming capabilities of stress-tolerant Pseudomonas under drought conditions

BackgroundClimate change will result in more frequent droughts that impact soil-inhabiting microbiomes in the agriculturally vital North American perennial grasslands. In this study, we used the combination of culturomics and high-resolution genomic sequencing of microbial consortia isolated from the rhizosphere of a tallgrass prairie foundation grass, Andropogon gerardii. We cultivated the plant host-associated microbes under artificial drought-induced conditions and identified the microbe(s) that might play a significant role in the rhizobiome of Andropogon gerardii under drought conditions. ResultsPhylogenetic analysis of the non-redundant metagenome-assembled genomes (MAGs) identified the bacterial population of interest - MAG-Pseudomonas. Further metabolic pathway and pangenome analyses detected genes and pathways related to nitrogen transformation and stress responses in MAG-Pseudomonas. ConclusionsOur data indicate that the metagenome-assembled MAG-Pseudomonas has the functional potential to contribute to the plant hosts growth during stressful conditions. This study provided insights into optimizing plant productivity under drought conditions.

microbiology↗

bioRxiv2022

Development of a LAG-3 Immunohistochemistry Assay for Melanoma

AimsA robust immunohistochemistry (IHC) assay was developed to detect lymphocyte-activation gene 3 (LAG-3) expression by immune cells (ICs) in tumor tissues. LAG-3 is an immuno-oncology target with demonstrable clinical benefit, and there is a need for a standardized, well-characterized assay to measure its expression. This study aims to describe LAG-3 scoring criteria and present the specificity, sensitivity, analytical precision, and reproducibility of this assay. MethodsThe specificity of the assay was investigated by antigen competition and with LAG3 knockout cell lines. A melanin pigment removal procedure was implemented to prevent melanin interference in IHC interpretation. Formalin-fixed, paraffin-embedded (FFPE) human melanoma samples with a range of LAG-3 expression levels were used to assess the sensitivity and analytical precision of the assay with a [≥]1% cutoff to determine LAG-3-positivity. Interobserver and intraobserver reproducibility were evaluated with 60 samples in intralaboratory studies and 70 samples in interlaboratory studies. ResultsThe LAG-3 IHC method demonstrated performance suitable for analysis of LAG-3 IC expression in clinical melanoma samples. The pretreatment step effectively removed melanin pigment that could interfere with interpretation. LAG-3 antigen competition and analysis of LAG3 knockout cell lines indicated that the 17B4 antibody clone binds specifically to LAG-3. The intrarun repeatability, interday, interinstrument, interoperator, and interreagent lot reproducibility demonstrated a high scoring concordance (>95%). The interobserver and intraobserver reproducibility and overall interlaboratory and intralaboratory reproducibility also showed high scoring concordance (>90%). ConclusionsWe have demonstrated that the assay reliably assesses LAG-3 expression in FFPE human melanoma samples by IHC. Key messagesO_ST_ABSWhat is already known on this topicC_ST_ABSLymphocyte-activation gene 3 (LAG-3) is an immune checkpoint receptor expressed on immune cells that limits T-cell activity and is being actively explored as a target for immunotherapy. What this study addsAn immunohistochemistry assay was developed to detect the LAG-3 protein in formalin-fixed paraffin-embedded human tumor tissue specimens. This study describes scoring criteria and shows the specificity, sensitivity, analytical precision, and reproducibility of this assay as an aid to determine LAG-3 expression in melanoma patients using a [≥]1% expression on immune cells threshold. How this study might affect research, practice or policyThe study describes a key immuno-oncology checkpoint immunohistochemistry assay that is robust and suitable for clinical trials. The assay was used in RELATIVITY-047 (NCT03470922), a phase 2/3 clinical trial that compared combined nivolumab and relatlimab treatment with nivolumab monotherapy, to stratify patients based on the percentage of LAG-3-positive immune cells within the tumor region. This assay is also being used in several ongoing clinical trials evaluating clinical response to relatlimab.

pathology↗

bioRxiv2021

Bacteria but not fungi communities differ among perennial grassland ecotypic rhizosphere under abiotic environmental stress

Environmental change, especially frequent droughts, is predicted to detrimentally impact the North American perennial grasslands. Consistent dry spells will affect plant communities as well as their associated rhizobiomes, possibly altering the plant host performance under environmental stress. Therefore, there is a need to understand the impact of drought on the rhizobiome, and how the rhizobiome may modulate host performance and ameliorate its response to drought stress. In this study, we analyzed bacterial and fungal communities in the rhizospheres of three ecotypes (dry, mesic, and wet) of a dominant prairie grass, Andropogon gerardii. The ecotypes were established in 2010 in a common garden design and grown for a decade under persistent dry conditions at the arid margin of the species range in Colby Kansas. The experiment aimed to answer whether and to what extent do the different ecotypes maintain or recruit distinct rhizobiomes after ten years in an arid climate. In order to answer this question, we screened the bacterial and fungal rhizobiome profiles of the ecotypes under the arid conditions of western KS as a surrogate for future climate environmental stress using 16S rRNA and ITS2 metabarcoding sequencing. Under these conditions, bacterial communities differed compositionally among the A. gerardii ecotypes, whereas the fungal communities did not. The ecotypes were instrumental in driving the differences among bacterial rhizobiomes, as the ecotypes maintained distinct bacterial rhizobiomes even after ten years at the edge of the host species range. This study will aid us to optimize plant productivity through the use of different ecotypes under future abiotic environmental stress, especially drought.

bioinformatics↗

bioRxiv2021

Astrocytic C-X-C motif chemokine ligand-1 mediates β-amyloid-induced tau mislocalization and synaptotoxicity

BackgroundPathological interactions between {beta}-amyloid (A{beta}) and tau drive the synapse loss that underlies neural circuit disruption and cognitive decline in Alzheimers disease (AD). Reactive astrocytes, displaying altered functions, are also a prominent feature of AD brain. This large and heterogeneous population of cells are increasingly recognised as contributing to early phases of disease. However, the contribution of astrocytes to detrimental A{beta}-tau interactions in AD is not well understood. MethodsMouse and human astrocyte cultures were stimulated with concentrations and species of human A{beta} that mimic those in human AD brain. Astrocyte conditioned medium was collected and immunodepleted of A{beta} before being added to rodent or human neuron cultures. Cytokines, identified in unbiased screens were also applied to neurons, including following the pre-treatment of neurons with chemokine receptor antagonists. Tau mislocalisation, synaptic markers and dendritic spine numbers were measured in cultured neurons and organotypic brain slice cultures. ResultsConditioned medium from astrocytes stimulated with A{beta} induces tau mislocalisation and exaggerated synaptotoxicity that is recapitulated following spiking of neuron culture medium with recombinant C-X-C motif chemokine ligand-1 (CXCL1), a chemokine we show to be upregulated in Alzheimers disease brain. Antagonism of neuronal C-X-C motif chemokine receptor 2 (CXCR2) prevented tau mislocalisation and synaptotoxicity in response to CXCL1 and A{beta}-stimulated astrocyte secretions. ConclusionsOur data indicate that astrocytes exacerbate tau mislocalisation and the synaptotoxic effects of A{beta} via interactions of astrocytic CXCL1 and neuronal CXCR2 receptors, highlighting this chemokine-receptor pair as a novel target for therapeutic intervention in AD.

neuroscience↗

bioRxiv2021

Circumscribing laser cuts attenuate seizure propagation in a mouse model of focal epilepsy

In partial onset epilepsy, seizures arise focally in the brain and often propagate, causing acute behavior changes, chronic cognitive decline, and increased mortality. Patients frequently become refractory to medical management, leaving neurosurgical resection of the seizure focus as a primary treatment, which can cause neurologic deficits. In the cortex, focal seizures are thought to spread through horizontal connections in layers II/III, suggesting that selectively severing these connections could block seizure propagation while preserving normal columnar circuitry and function. We induced focal neocortical epilepsy in mice and used tightly-focused femtosecond-duration laser pulses to create a sub-surface, opencylinder cut surrounding the seizure focus and severing cortical layers II-IV. We monitored seizure propagation using electrophysiological recordings at the seizure focus and at distant electrodes for 3-8 months. With laser cuts, only 5% of seizures propagated to the distant electrodes, compared to 85% in control animals. Laser cuts also decreased the number of seizures that were initiated, so that the average number of propagated seizures per day decreased from 42 in control mice to 1.5 with laser cuts. Physiologically, these cuts produced a modest decrease in cortical blood flow that recovered within days and, at one month, left a ~20-m wide scar with increased gliosis and localized inflammatory cell infiltration but minimal collateral damage. When placed over motor cortex, cuts did not cause notable deficits in a skilled reaching task. Femtosecond laser produced sub-surface cuts hold promise as a novel neurosurgical approach for intractable focal cortical epilepsy, as might develop following traumatic brain injury. Once sentence summaryIn a mouse model of focal epilepsy, sub-surface laser-produced cuts encircling the seizure focus attenuate propagation without behavioral impairment.

neuroscience↗

bioRxiv2021

AnchorWave: sensitive alignment of genomes with high diversity, structural polymorphism and whole-genome duplication variation

Millions of species are currently being sequenced and their genomes are being compared. Many of them have more complex genomes than model systems and raised novel challenges for genome alignment. Widely used local alignment strategies often produce limited or incongruous results when applied to genomes with dispersed repeats, long indels, and highly diverse sequences. Moreover, alignment using many-to-many or reciprocal best hit approaches conflicts with well-studied patterns between species with different rounds of whole-genome duplication or polyploidy levels. Here we introduce AnchorWave, which performs whole-genome duplication informed collinear anchor identification between genomes and performs base-pair resolution global alignments for collinear blocks using the wavefront algorithm and a 2-piece affine gap cost strategy. This strategy enables AnchorWave to precisely identify multi-kilobase indels generated by transposable element (TE) presence/absence variants (PAVs). When aligning two maize genomes, AnchorWave successfully recalled 87% of previously reported TE PAVs between two maize lines. By contrast, other genome alignment tools showed almost zero power for TE PAV recall. AnchorWave precisely aligns up to three times more of the genome than the closest competitive approach, when comparing diverse genomes. Moreover, AnchorWave recalls transcription factor binding sites (TFBSs) at a rate of 1.05-74.85 fold higher than other tools, while with significantly lower false positive alignments. AnchorWave shows obvious improvement when applied to genomes with dispersed repeats, active transposable elements, high sequence diversity and whole-genome duplication variation. Significance statementOne fundamental analysis needed to interpret genome assemblies is genome alignment. Yet, accurately aligning regulatory and transposon regions outside of genes remains challenging. We introduce AnchorWave, which implements a genome duplication informed longest path algorithm to identify collinear regions and performs base-pair resolved, end-to-end alignment for collinear blocks using an efficient 2-piece affine gap cost strategy. AnchorWave improves alignment of partially synthetic and real genomes under a number of scenarios: genomes with high similarity, large genomes with high TE activity, genomes with many inversions, and alignments between species with deeper evolutionary divergence and different whole-genome duplication histories. Potential use cases for the method include genome comparison for evolutionary analysis of non-genic sequences and population genetics of taxa with complex genomes.

genomics↗

bioRxiv2021

A multiple genome alignment workflow shows the impact of repeat masking and parameter tuning on alignment of functional regions in plants

Alignments of multiple genomes are a cornerstone of comparative genomics, but generating these alignments remains technically challenging and often impractical. We developed the msa_pipeline workflow (https://bitbucket.org/bucklerlab/msa_pipeline) based on the LAST aligner to allow practical and sensitive multiple alignment of diverged plant genomes with minimal user inputs. Our workflow only requires a set of genomes in FASTA format as input. The workflow outputs multiple alignments in MAF format, and includes utilities to help calculate genome-wide conservation scores. As high repeat content and genomic divergence are substantial challenges in plant genome alignment, we also explored the impact of different masking approaches and alignment parameters using genome assemblies of 33 grass species. Compared to conventional masking with RepeatMasker, a k-mer masking approach increased the alignment rate of CDS and non-coding functional regions by 25% and 14% respectively. We further found that default alignment parameters generally perform well, but parameter tuning can increase the alignment rate for non-coding functional regions by over 52% compared to default LAST settings. Finally, by increasing alignment sensitivity from the default baseline, parameter tuning can increase the number of non-coding sites that can be scored for conservation by over 76%.

genomics↗

bioRxiv2020

Capturing in-field root system dynamics with the RootTracker

Optimizing root system architecture offers a promising approach to developing stress tolerant cultivars in the face of climate change, as root systems are critical for water and nutrient uptake as well as mechanical stability. However, breeding for optimal root system architecture has been hindered by the difficulty in measuring root growth in the field. Here, we describe a technology, the RootTracker (RT), which employs capacitance touch sensors to monitor in-field root growth over time. Configured in a cylindrical shutter-like fashion around a planted seed, 264 electrodes are individually charged multiple times over the course of an experiment. Signature changes in the measured capacitance and resistance readings indicate when a root has touched or grown close to an electrode. Using the RootTracker, we have measured root system dynamics of commercial maize hybrids growing in both typical Midwest field conditions and under different irrigation regimes. We observed rapid responses of root growth to water deficits and found evidence for a "priming response" in which an early water deficit causes more and deeper roots to grow at later time periods. There was genotypic variation among hybrid maize lines in their root growth in response to drought, indicating a potential to breed for root systems adapted for different environments.

plant biology↗

bioRxiv2020

Host infection by the grass-symbiotic fungus Epichloë festucaerequires catalytically active H3K9 and H3K36 methyl transferases

Recent studies have identified key genes in Epichloe festucae that control the symbiotic interaction of this filamentous fungus with its grass host. Here we report on the identification of specific fungal genes that determine its ability to infect and colonize the host. Deletion of setB, which encodes a homolog of the H3K36 histone methyltransferase Set2/KMT3, specifically reduced histone H3K36 trimethylation and led to severe defects in colony growth and hyphal development. The E. festucae {Delta}clrD mutant, which lacks the gene encoding the homolog of the H3K9 methyltransferase KMT1, displays similar developmental defects. Both mutants are completely defective in their ability to infect the host grass, and mutational studies of key residues in the catalytic SET domains from these proteins show that these phenotypes are dependent on the methyltransferase activities of SetB and ClrD. A comparison of the differences in the host transcriptome between seedlings inoculated with wild-type versus mutants suggests that the inability of these mutants to infect the host was not due to an aberrant host defense response. Co-inoculation of either {Delta}setB or {Delta}clrD with the wild-type strain enables these mutants to colonize the host. However, successful colonization by the mutants resulted in death or stunting of the host plant. Transcriptome analysis at the early infection stage identified four fungal candidate genes, three of which encode small-secreted proteins, that are differentially regulated in these mutants compared to wild-type. Deletion of crbA, which encodes a putative carbohydrate binding protein, resulted in significantly reduced host infection rates by E. festucae. Author SummaryThe filamentous fungus Epichloe festucae is an endophyte that forms highly regulated symbiotic interactions with the perennial ryegrass. Proper maintenance of such interactions is known to involve several signalling pathways, but much less is understood about the infection capability of this fungus in the host. In this study, we uncovered two epigenetic marks and their respective histone methyltransferases that are required for E. festucae to infect perennial ryegrass. Null mutants of the histone H3 lysine 9 and lysine 36 methyltransferases are completely defective in colonizing the host intercellular space, and these defects are dependent on the methyltransferase activities of these enzymes. Importantly, we observed no evidence for increased host defense response to these mutants that can account for their non-infection. Rather, these infection defects can be rescued by the wild-type strain in co-inoculation experiments, suggesting that failure of the mutants to infect is due to altered expression of genes encoding infection factors that are under the control of the above epigenetic marks that can be supplied by the wild-type strain. Among genes differentially expressed in the mutants at the early infection stage is a putative small-secreted protein with a carbohydrate binding function, which deletion in E. festucae severely reduced infection efficiency.

genetics↗

bioRxiv2020

An image resource of subdivided Drosophila GAL4-driver expression patterns for neuron-level searches

Precise, repeatable genetic access to specific neurons via GAL4/UAS and related methods is a key advantage of Drosophila neuroscience. Neuronal targeting is typically documented using light microscopy of full GAL4 expression patterns, which generally lack the single-cell resolution required for reliable cell type identification. Here we use stochastic GAL4 labeling with the MultiColor FlpOut approach to generate cellular resolution confocal images at large scale. We are releasing aligned images of 74,000 such adult central nervous systems. An anticipated use of this resource is to bridge the gap between neurons identified by electron or light microscopy. Identifying individual neurons that make up each GAL4 expression pattern improves the prediction of split-GAL4 combinations targeting particular neurons. To this end we have made the images searchable on the NeuronBridge website. We demonstrate the potential of NeuronBridge to rapidly and effectively identify neuron matches based on morphology across imaging modalities and datasets.

neuroscience↗

bioRxiv2019

Extracellular DNA controls expression of Pseudomonas aeruginosa genes involved in nutrient utilization, metal homeostasis, acid pH tolerance, and virulence.

Pseudomonas aeruginosa grows in extracellular DNA-enriched biofilms and infection sites. Extracellular DNA (eDNA) is generally considered a structural biofilm polymer required for aggregation and biofilm maturation. In addition, eDNA can sequester divalent metal cations, acidify the growth media, and serve as a nutrient source. Here we determine the transcriptome of planktonic P. aeruginosa grown in the presence of eDNA using RNA-seq. Transcriptome analysis identified 89 induced genes and 76 repressed genes in the presence of eDNA (FDR<0.05), and transcriptional lux fusions were used to confirm eDNA regulation. A large number of eDNA-induced genes appear to be involved in utilizing DNA as a nutrient. Several eDNA-induced genes are also induced by acidic pH 5.5, and growth in the presence of eDNA or acidic pH promoted an acid tolerance response in P. aeruginosa. The cyoABCDE terminal oxidase is induced at pH 5.5 and contributed to the acid tolerance phenotype. Quantitative metal analysis confirmed that DNA binds to diverse metals, which helps explain why many genes involved in a general uptake of metals were controlled by eDNA. Growth in the presence of eDNA also promoted intracellular bacterial survival and influenced virulence and during the acute infection model of fruit flies. The diverse functions of the eDNA-regulated genes underscore the important role of this extracellular polymer in promoting antibiotic resistance, virulence, acid tolerance, and nutrient utilization; phenotypes that contribute to long-term survival.

microbiology↗

bioRxiv2019

A sorghum Practical Haplotype Graph facilitates genome-wide imputation and cost-effective genomic prediction

Successful management and utilization of increasingly large genomic datasets is essential for breeding programs to increase genetic gain and accelerate cultivar development. To help with data management and storage, we developed a sorghum Practical Haplotype Graph (PHG) pangenome database that stores all identified haplotypes and variant information for a given set of individuals. We developed two PHGs in sorghum, one with 24 individuals and another with 398 individuals, that reflect the diversity across genic regions of the sorghum genome. 24 founders of the Chibas sorghum breeding program were sequenced at low coverage (0.01x) and processed through the PHG to identify genome-wide variants. The PHG called SNPs with only 5.9% error at 0.01x coverage - only 3% lower than its accuracy when calling SNPs from 8x coverage sequence. Additionally, 207 progeny from the Chibas genomic selection (GS) training population were sequenced and processed through the PHG. Missing genotypes in the progeny were imputed from the parental haplotypes available in the PHG and used for genomic prediction. Mean prediction accuracies with PHG SNP calls range from 0.57-0.73 for different traits, and are similar to prediction accuracies obtained with genotyping-by-sequencing (GBS) or markers from sequencing targeted amplicons (rhAmpSeq). This study provides a proof of concept for using a sorghum PHG to call and impute SNPs from low-coverage sequence data and also shows that the PHG can unify genotype calls from different sequencing platforms. By reducing the amount of input sequence needed, the PHG has the potential to decrease the cost of genotyping for genomic selection, making GS more feasible and facilitating larger breeding populations that can capture maximum recombination. Our results demonstrate that the PHG is a useful research and breeding tool that can maintain variant information from a diverse group of taxa, store sequence data in a condensed but readily accessible format, unify genotypes from different genotyping methods, and provide a cost-effective option for genomic selection for any species.

genomics↗