Biology subjects

Qiu, J.

Publications and source records attributed to Qiu, J..

138 records · Page 8Linked to original sources

bioRxiv2019

Mitochondrial dynamics and mitophagy are necessary for proper invasive growth in Rice Blast

Magnaporthe oryzae causes Blast disease, which is one of the most devastating infections in rice and several important cereal crops. M. oryzae needs to coordinate gene regulation, morphological changes, nutrient acquisition, and host evasion, in order to invade and proliferate within the plant tissues. Thus far, the molecular mechanisms underlying the regulation of invasive growth in planta have remained largely unknown. We identified a precise filamentous-punctate-filamentous cycle in mitochondrial morphology during Magnaporthe-Rice interaction. Interestingly, loss of either the mitochondrial fusion (MoFzo1) or fission (MoDnm1) machinery, or inhibition of mitochondrial fission using Mdivi-1 caused significant reduction in M. oryzae pathogenicity. Furthermore, exogenous carbon source(s) but not antioxidant treatment delayed such mitochondrial dynamics/transition during invasive growth. Such nutrient-based regulation of organellar dynamics preceded MoAtg24-mediated mitophagy, which was found to be essential for proper biotrophic development and invasive growth in planta. We propose that precise mitochondrial dynamics and mitophagy occur during the transition from biotrophy to necrotrophy, and are required for proper induction and establishment of the blast disease in rice.

pathology↗

bioRxiv2019

The properties of 5-methyltetrahydrofolate dehydrogenase (MthfD) and its role in the tetrahydrofolate (THF)-dependent dicamba demethylation system in Rhizorhabdus dicambivorans Ndbn-20

The herbicide dicamba is initially degrade via demethylation in Rhizorhabdus dicambivorans Ndbn-20. A gene cluster scaffold 66 containing a THF-dependent dicamba methyltransferase dmt and three THF metabolic-related genes, namely, mthfD, dhc and purU, is responsible for dicamba demethylation in this strain. However, the characteristics and functions of MthfD, Dhc and PurU have not been elucidated. In this study, MthfD was synthesized in Escherichia coli BL21(DE3) and purified as a His6-tagged protein. Purified MthfD was found to be a monomer, and exhibited 5-CH3-THF dehydrogenase activity in vitro. The Kcat and Km for 5-CH3-THF were 0.23 s-1 and 16.48 M, respectively. However, 5,10-CH2-THF reductase activity was not detected for MthfD yet. Gene disruption results showed that mthfD is essential for dicamba degradation, whereas dhc is dispensable. Our studies revealed that MthfD physiologically is a 5-CH3-THF dehydrogenase that catalyzes the irreversible dehydrogenation of 5-CH3-THF to 5,10-CH2-THF in the THF regeneration pathway during dicamba demethylation in R. dicambivorans Ndbn-20.

microbiology↗

bioRxiv2019

Identification and characterization of a novel pic gene cluster responsible for picolinic acid degradation in Alcaligenes faecalis JQ135

Picolinic acid (PA) is a natural toxic pyridine derivative. Microorganisms can degrade and utilize PA for growth. However, the full metabolic pathway and its physiological and genetic foundation remain unknown. In this study, we identified the pic gene cluster responsible for the complete degradation of PA from Alcaligenes faecalis JQ135. PA was initially 6-hydroxylated into 6-hydroxypicolinic acid (6HPA) by PA dehydrogenase (PicA). 6HPA was then 3-hydroxylated by a four-component 6HPA monooxygenase (PicB) to form 3,6-dihydroxypicolinic acid (3,6DHPA), which was then converted into 2,5-dihydroxypyridine (2,5DHP) by a decarboxylase (PicC). The 2,5DHP was further degraded into fumaric acid, through PicD (2,5DHP dioxygenase), PicE (N-formylmaleamic acid deformylase), PicF (maleamic acid amidohydrolase), and PicG (maleic acid isomerase). Homologous pic gene clusters with diverse organizations were found to be widely distributed in -, {beta}-, and{gamma} -Proteobacteria. Our findings provide new insights into the microbial metabolism of environmental toxic pyridine derivatives. ImportancePicolinic acid is a common metabolite of L-tryptophan and some aromatic compounds and is an important intermediate of industrial concern. Although the microbial degradation/detoxification of picolinic acid has been studied for over 50 years, the underlying molecular mechanisms are still unknown. Here, we show the pic gene cluster responsible for the complete degradation of picolinic acid into the tricarboxylic acid cycle. This gene cluster was found to be widespread in other -, {beta}-, and{gamma} -Proteobacteria. These findings provide new perspective for understanding the mechanisms of picolinic acid biodegradation in bacteria.

microbiology↗

bioRxiv2019

Reproducibility of functional brain alterations in major depressive disorder: evidence from a multisite resting-state functional MRI study with 1,434 individuals

Resting-state functional MRI (R-fMRI) studies have demonstrated widespread alterations in brain function in patients with major depressive disorder (MDD). However, a clear and consistent conclusion regarding a repeatable pattern of MDD-relevant alterations is still limited due to the scarcity of large-sample, multisite datasets. Here, we address this issue by including a large R-fMRI dataset with 1,434 participants (709 patients with MDD and 725 healthy controls) from five centers in China. Individual functional activity maps that represent very local to long-range connections are computed using the amplitude of low-frequency fluctuations, regional homogeneity and distance-related functional connectivity strength. The reproducibility analyses involve different statistical strategies, global signal regression, across-center consistency, clinical variables, and sample size. We observed significant hypoactivity in the orbitofrontal, sensorimotor, and visual cortices and hyperactivity in the frontoparietal cortices in MDD patients compared to the controls. These alterations are not affected by different statistical analysis strategies, global signal regression and medication status and are generally reproducible across centers. However, these between-group differences are partially influenced by the episode status and the age of disease onset in patients, and the brain-clinical variable relationship exhibits poor cross-center reproducibility. Bootstrap analyses reveal that at least 400 subjects in each group are required to replicate significant alterations (an extent threshold of P<.05 and a height threshold of P<.001) at 50% reproducibility. Together, these results highlight reproducible patterns of functional alterations in MDD and relevant influencing factors, which provides crucial guidance for future neuroimaging studies of this disorder.

neuroscience↗

bioRxiv2018

Novel 3,6-Dihydroxypicolinic Acid Decarboxylase Mediated Picolinic Acid Catabolism in Alcaligenes faecalis JQ135

Alcaligenesfaecalis strain JQ135 utilizes picolinic acid (PA) as sole carbon and nitrogen source for growth. In this study, we screened a 6-hydroxypicolinic acid (6HPA) degradation-deficient mutant through random transposon mutagenesis. The mutant hydroxylated 6HPA into an intermediate, identified as 3,6-dihydroxypicolinic acid (3,6DHPA) with no further degradation. A novel decarboxylase PicC was identified that was found to be responsible for the decarboxylation of 3,6DHPA to 2.5-dihydroxypyridine. Although, PicC belonged to amidohydrolase_2 family, it shows low similarity (<45%) when compared to other reported amidohydrolase_2 family decarboxylases. Moreover, PicC was found to form a monophyletic group in the phylogenetic tree constructed using PicC and related proteins. Further, the genetic deletion and complementation results demonstrated that picC was essential for PA degradation. The PicC was Zn2+-dependent non-oxidative decarboxylase that can specifically catalyze the irreversible decarboxylation of 3,6DHPA to 2.5-dihydroxypyridine. The Km and kcat towards 3,6DHPA were observed to be 13.44 M and 4.77 s-1, respectively. Site-directed mutagenesis showed that His163 and His216 were essential for PicC activity.\n\nImportancePicolinic acid is a natural toxic pyridine derived from L-tryptophan metabolism and some aromatic compounds in mammalian and microbial cells. Microorganisms can degrade and utilize picolinic acid for their growth, and thus, a microbial degradation pathway of picolinic acid has been proposed. Picolinic acid is converted into 6-hydroxypicolinic acid, 3,6-dihydroxypicolinic acid, and 2,5-dihydroxypyridine in turn. However, there was no physiological and genetic validation for this pathway. This study demonstrated that 3,6DHPA was an intermediate in PA catabolism process and further identified and characterized a novel amidohydrolase_2 family decarboxylase PicC. It was also shown that PicC could catalyze the decarboxylation process of 3,6-dihydroxypicolinic acid into 2,5-dihydroxypyridine. This study provides a basis for understanding PA degradation pathway and the underlying molecular mechanism.

microbiology↗

bioRxiv2018

Genome-wide selection footprints and deleterious variations in young Asian allotetraploid rapeseed

Brassica napus (AACC, 2n=38), is an important oilseed crop grown worldwide. However, little is known about the population evolution of this species, the genomic difference between its major genetic clusters, such as European and Asian rapeseed, and impacts of historical large-sale introgression events in this young tetraploid. In this study, we reported the de novo assembly of the genome sequences of an Asian rapeseed (B. napus), Ningyou 7 and its four progenitors and carried out de novo assembly-based comparison, pedigree and population analysis with other available genomic data from diverse European and Asian cultivars. Our results showed that Asian rapeseed originally derived from European rapeseed, but it had subsequently significantly diverged, with rapid genome differentiation after intensive local breeding selection. The first historical introgression of B. rapa dramatically broadened the allelic pool of Asian B. napus, but decreased their deleterious variations. The secondary historical introgression of European rapeseed (canola-quality) has reshaped Asian rapeseed into two groups, accompanied by an increase in genetic load. This study demonstrates distinctive genomic footprints by recent intra- and inter-species introgression events for local adaptation, and provide novel insights for understanding the rapid genome evolution of a young allopolyploid crop.

genomics↗

bioRxiv2018

Transcriptional Profiling of Patient Isolates Identifies a Novel TOR Regulatory Pathway in Cryptococcal Virulence

Human infection with Cryptococcus causes up to a quarter million AIDS-related deaths annually and is the most common cause of non-viral meningitis in the United States. As an opportunistic fungal pathogen, C. neoformans is distinguished by its ability to adapt to diverse host environments including plants, amoeba and mammals. In the present study, comparative transcriptomics of the fungus within human cerebrospinal fluid identified expression profiles representative of low-nutrient adaptive responses. Transcriptomics of fungal isolates from a cohort of HIV/AIDS patients identified a low nutrient-induced gene, an alternative carbon nutrient transporter STL1 associated with poor early fungicidal activity, an important clinical prognostic marker. Mouse modeling and pathway analysis demonstrated a role for STL1 in mammalian pathogenesis and revealed that STL1 expression is regulated by a novel target-of-rapamycin (TOR)-related multi-gene regulatory mechanism involving the CAC2 subunit of the chromatin assembly complex 1, CAF-1. In this pathway, the TOR-related RNA chaperone, VAD1 was found to transcriptionally regulate a cryptococcal homolog of a cytosolic protein Ecm15, in turn, required for nuclear transport of the Cac2 protein. Derepression of STL1 by the CAC2-containing CAF-1 complex was mediated by Cac2 and modulated binding and suppression of the STL1 enhancer element. Derepression of STL1 resulted in enhanced survival and growth of the fungus in the presence of low nutrient, alternative carbon sources, facilitating virulence in mice. The study underscores the utility of ex vivo expression profiling of fungal clinical isolates and provides fundamental genetic understanding of saprophyte adaption to the human host.\n\nAuthor summaryThe fungus Cryptococcus is a fungal pathogen that kills an estimated quarter of a million individuals yearly and is the most common cause of meningitis in the United States. The fungus is carried in about 10% of the adult population and, after re-activation, causes disease in a wide variety of individuals including HIV-infected as well as immunosuppression either from genetic defects or after immune suppressive treatments due to transplant conditioning, cancer therapy or treatment of autoimmune diseases. The fungus is widely carried in the soil and trees and can infect plants, single cell organisms and even dolphins. However, mechanisms for this widespread ability to infect a variety of hosts are poorly understood. The present study identified adaptation to low nutrients as a key property that allows the fungus to infect these diverse hosts and identified a nutrient transporter, STL1 to be associated with a marker of poor clinical outcome in a cohort of HIV/AIDS patients. Understanding molecular mechanisms involved in environmental adaptation may help to design better methods of control and treatment of widely dispersed fungal pathogens such as Cryptococcus.

microbiology↗

bioRxiv2018

Reduced but not Enhanced Default Mode Network Functional Connectivity in Major Depressive Disorder: Evidence from 25 Cohorts in the REST-meta-MDD Project

Major Depressive Disorder (MDD) is common and disabling, but its neural pathophysiology remains unclear. Functional brain network studies in MDD have largely had limited statistical power and data analysis approaches have varied widely. The REST-meta-MDD Project of resting-state fMRI (R-fMRI) addresses these issues. The 25 research groups in China composing the REST-meta-MDD Project contributed R-fMRI data of 1,300 patients with MDD and 1,128 normal controls (NCs). The data were preprocessed locally with a standardized protocol prior to aggregated group analyses. We focused on functional connectivity (FC) within the default mode network (DMN), frequently reported to show increased FC in MDD. We found decreased instead of increased DMN FC when comparing 848 MDDs with 794 NCs from 17 sites after data exclusion. We found FC reduction only in recurrent MDD, not in first-episode drug-naive MDD. Decreased DMN FC was associated with medication usage but not with MDD duration. DMN FC was also positively related to symptom severity but only in recurrent MDDs. Exploratory analyses also revealed alterations of local intrinsic activity in MDD. We confirmed the key role of DMN in MDD but found reduced rather than increased FC within the DMN. Future studies should test whether decreased DMN FC mediates treatment response. This manuscript announces the publicly available resting-state fMRI indices of the REST-meta-MDD consortium shared via the R-fMRI Maps Project.\n\nSIGNIFICANCE STATEMENTFunctional connectivity within the default mode network in major depressive disorder patients has been frequently reported abnormal but with contradicting directions in previous small sample size studies. By creating the REST-meta-MDD consortium containing neuroimaging data of 1,300 depressed patients and 1,128 normal controls from 25 research groups in China, we found decreased default mode network functional connectivity in depressed patients, driven by patients with recurrent depression, and associated with current medication treatment but not with disease duration. These findings suggest that default mode network functional connectivity remains a prime target for understanding the pathophysiology of depression, with particular relevance to revealing mechanisms of effective treatments.

neuroscience↗

bioRxiv2017

Optogenetic dissection of descending behavioral control in Drosophila

In most animals, the brain makes behavioral decisions that are transmitted by descending neurons to the nerve cord circuitry that produces behaviors. In insects, only a few descending neurons have been associated with specific behaviors. To explore how these neurons control an insects movements, we developed a novel method to systematically assay the behavioral effects of activating individual neurons on freely behaving terrestrial D. melanogaster. We calculated a two-dimensional representation of the entire behavior space explored by these flies and associated descending neurons with specific behaviors by identifying regions of this space that were visited with increased frequency during optogenetic activation. Applying this approach across a population of descending neurons, we found, that (1) activation of most of the descending neurons drove stereotyped behaviors, (2) in many cases multiple descending neurons activated similar behaviors, and (3) optogenetically-activated behaviors were often dependent on the behavioral state prior to activation.

neuroscience↗

bioRxiv2017

Tracking the dynamic functional connectivity structure of the human brain across the adult lifespan

The transition from early adulthood to older is marked by pronounced functional and structural brain transformations that impact cognition and behaviour. Here, we use dynamic functional network connectivity method to examine resting state functional network changes over aging process. In general, the features of dynamic functional states are generally varying across ages, such as the frequency of expression and the amount of time spent in the certain state. Increasing age is associated with less variability of functional state across time at rest period. From age point of view, examining the age-related difference of topology index revealed 19-30 age range has the significant largest global efficiency, largest local efficiency of default-mode network (DMN), cognitive control network (CCN) and salience network (SN). As for functional states, one state displayed the whole positive connectivity, in the meantime, it has the largest global efficiency and local efficiency of three subnetworks. Besides, the frequency of another state was negatively correlated to the box block (The Wechsler Adult Intelligence Scale subset, which is thought to evaluate fine motor skills, processing speed, and visuospatial ability), while positively correlated with age, and the box block was inversely correlated to age. The results suggested that cognitive aging may be characterized by the dynamic functional network connectivity. Taken together, these findings suggested the importance of a dynamic approach to understanding cognitive aging in lifespan.

neuroscience↗

bioRxiv2017

Structural and functional MRI from a cross-sectional Southwest University Adult lifespan Dataset (SALD)

Recently, the field of developmental neuroscience has aimed to uncover the developmental trajectory of the human brain and understand the changes that occur as a function of aging. Here we present an adult lifespan dataset of functional magnetic resonance imaging (fMRI) data including structural MRI and resting-state functional MRI. 494 healthy adults (age range: 19-80 years; Males=187) were recruited and completed two multi-modal MRI scan sessions in the Brain Imaging Central of Southwest University, Chongqing, China. The goals of the dataset are to give researchers the opportunity to map the developmental trajectory of structural and functional changes of human brain and to replicate previous findings.

neuroscience↗

bioRxiv2017

The Novel Monocomponent FAD-dependent Monooxygenase HpaM Catalyzes the 2-Decarboxylative Hydroxylation of 5-Hydroxypicolinic Acid in Alcaligenes faecalis JQ135

5-hydroxypicolinic acid (5HPA) is a natural pyridine derivative that can be microbially degraded. However, the physiological, biochemical, and genetic foundation of the microbial catabolism of 5HPA remains unknown. In this study, a gene cluster hpa (which is involved in degradation of 5HPA in Alcaligenes faecalis JQ135) was cloned and HpaM was identified as a novel monocomponent FAD-dependent monooxygenase. HpaM shared a sequence only 31% similarity with the most related protein 6-hydroxynicotinate 3-monooxygenase (NicC) of Pseudomonas putida KT2440. hpaM was heterologously expressed in E. coli BL21(DE3), and the recombinant HpaM was purified via Ni-affinity chromatography. HpaM catalyzed the 2-decarboxylative hydroxylation of 5-HPA, thus generating 2,5-dihydroxypyridine (2,5-DPH). Monooxygenase activity was only detected in the presence of FAD and NADH, but not of FMN and NADPH. The apparent Km values of HpaM toward 5HPA and NADH were 45.4 and 37.8 , respectively. Results of gene deletion and complementation showed that hpaM was essential for 5HPA degradation in Alcaligenes faecalis JQ135.\n\nImportancePyridine derivatives are ubiquitous in nature and important chemical materials that are currently widely used in agriculture, pharmaceutical, and chemical industries. Thus, the microbial degradation and transformation mechanisms of pyridine derivatives received considerable attention. Decarboxylative hydroxylation was an important degradation process in pyridine derivatives, and previously reported decarboxylative hydroxylations happened in the C3 of the pyridine ring. In this study, we cloned the gene cluster hpa, which is responsible for 5HPA degradation in Alcaligenes faecalis JQ135, thus identifying a novel monocomponent FAD-dependent monooxygenase HpaM. Unlike 3-decarboxylative monooxygenases, HpaM catalyzed decarboxylative hydroxylation in the C2 of the pyridine ring in 5-hydroxypicolinic acid. These findings deepen our understanding of the molecular mechanism of microbial degradation of pyridine derivatives. Furthermore, HpaM offers potential for applications to transform useful pyridine derivatives.

microbiology↗