Biology subjects

Jiao, Y.

Publications and source records attributed to Jiao, Y..

90 records · Page 5Linked to original sources

bioRxiv2020

Convergence within divergence: insights of wheat adaptation from Triticum population sequencing

Bread wheat expanded its habitats from a small core area of the Fertile Crescent to global environments within [~]10,000 years. Genetic mechanisms of this remarkable evolutionary success are not well understood. By whole-genome sequencing of populations from 25 subspecies within genera Triticum and Aegilops, we identified composite introgression from these wild populations contributing 13%[~]36% of the bread wheat genome, which tremendously increased the genetic diversity of bread wheat and allowed its divergent adaptation. Meanwhile, convergent adaption to human selection showed 2- to 16-fold enrichment relative to random expectation in Triticum species despite their drastic differences in ploidy levels and growing zones, indicating the vital importance of adaptive constraints in the success of bread wheat. These results showed the genetic necessities of wheat as a global crop and provided new perspectives on leveraging adaptation success across species for crop improvement.

genetics↗

bioRxiv2020

Ctdnep1 and Eps8L2 regulate dorsal actin cables for nuclear positioning during cell migration

Cells actively position their nuclei within the cytoplasm for multiple cellular and physiological functions. Different cell types position their nuclei away from the leading edge to migrate properly. In migrating fibroblasts, nuclear positioning is driven by dorsal actin cables connected to the nuclear envelope by the LINC complex on Transmembrane Actin-associated Nuclear (TAN) lines. How dorsal actin cables are organized to form TAN lines is unknown. Here, we report a role for Ctdnep1/Dullard, a nuclear envelope phosphatase, and the actin regulator Eps8L2, on nuclear positioning. We demonstrate that Ctdnep1 and Eps8L2 directly interact to regulate the formation and thickness of dorsal actin cables required for TAN lines engagement for nuclear positioning. Our work establishes a novel mechanism to locally regulate actin at the nuclear envelope for nuclear positioning.

cell biology↗

bioRxiv2020

Salmonella Enteritidis Effector AvrA suppresses autophagy by reducing Beclin-1 protein

Autophagy is a cellular process to clear pathogens. Salmonella enterica serovar Enteritidis (S.E) has emerged as one of the most important food-borne pathogens. However, major studies still focus on Salmonella enterica serovar Typhimurium. Here, we reported that AvrA, a S. Enteritidis effector, inhibited autophagy to promote bacterial survival in the host. We found that AvrA regulates the conversion of LC3 I into LC3 II and the enrichment of lysosomes. Beclin-1, a key molecular regulator of autophagy, was decreased after AvrA expressed strain colonization. In S.E-AvrA--infected cells, we found the increases of protein levels of p-JNK and p-c-Jun and the transcription level of AP-1. AvrA-reduction of Beclin-1 protein expression is through the JNK pathway. The JNK inhibitor abolished the AvrA-reduced Beclin-1 protein expression. Moreover, we identified that the AvrA mutation C186A abolished its regulation of Beclin-1 expression. In addition, AvrA protein interacted with Beclin-1. In organoids and infected mice, we explored the physiologically related effects and mechanism of AvrA in reducing Beclin-1 through the JNK pathway, thus attenuating autophagic responses. ImportanceSalmonella Enteritidis is an important pathogen with a public health concern and farm production risk, yet the host-pathogen interactions that govern the survival of S. Enteritidis infections are incompletely understood. Anti-bacterial autophagy provides potent cell-autonomous immunity against bacterial colonization. Here, we report that a new role for effector AvrA of S. Enteritidis in the reduction of Beclin-1 protein expression through the JNK pathway and the attenuation of the autophagic response in intestinal epithelial cells. This finding not only indicates an important role of S. Enteritidis effector in reducing host protein as a strategy to suppress autophagy, but also suggests manipulating autophagy as a new strategy to treat infectious diseases.

microbiology↗

bioRxiv2019

Microglial depletion with CSF1R inhibitor during chronic phase of experimental traumatic brain injury reduces neurodegeneration and neurological deficits

Chronic neuroinflammation with sustained microglial activation occurs following moderate-to-severe traumatic brain injury (TBI) and is believed to contribute to subsequent neurodegeneration and neurological deficits. Microglia, the primary innate immune cells in brain, are dependent on colony stimulating factor 1 receptor (CSF1R) signaling for their survival. In this translational study, we examined the effects of delayed depletion and subsequent repopulation of microglia on chronic neurodegeneration and functional recovery up to three months posttrauma. A CSF1R inhibitor, PLX5622, was administered to injured adult male C57Bl/6 mice at one month after controlled cortical impact to remove chronically activated microglia, and the inihibitor was withdrawn 1 week later to allow microglial repopulation. Following TBI, the repopulated microglia displayed a ramified morphology, similar to that of sham control uninjured animals, whereas microglia in untreated injured animals showed the typical chronic posttraumatic hypertrophic morphology. PLX5622 treatment limited TBI-associated neuropathological changes at 3 months posttrauma; these included a smaller cortical lesion, reduced neuronal cell death in the injured cortex and ipsilateral hippocampus, and decreased NOX2-dependent reactive microgliosis. Furthermore, delayed depletion of microglia led to widespread changes in the cortical transcriptome, including alterations in gene pathways involved in neuroinflammation, oxidative stress, and neuroplasticity. PLX5622 treated animals showed significantly improved neurological recovery using a variety of complementary neurobehavioral evaluations. These included beam walk and rotorod tests for sensori-motor function, as well as Y-maze, novel object recognition, and Morris water maze tests to evaluate cognitive function. Together, our findings show that chronic phase removal of neurotoxic microglia using CSF1R inhibitors after experimental TBI can markedly reduce chronic neuroinflammation and neurodegeneration, as well as related long-term motor and cognitive deficits. Thus, CSF1R inhibition may provide a clinically feasible approach to limit posttraumatic neurodegeneration and neurological dysfunction following head injury.

neuroscience↗

bioRxiv2019

A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies

Transcriptome-wide association studies (TWAS) integrate expression quantitative trait loci (eQTLs) studies with genome-wide association studies (GWASs) to prioritize candidate target genes for complex traits. Several statistical methods have been recently proposed to improve the performance of TWAS in gene prioritization by integrating the expression regulatory information imputed from multiple tissues, and made significant achievements in improving the ability to detect gene-trait associations. The major limitation of these methods is that they cannot be used to elucidate the specific functional effects of candidate genes across different tissues. Here, we propose a tissue-specific collaborative mixed model (TisCoMM) for TWAS, leveraging the co-regulation of genetic variations across different tissues explicitly via a unified probabilistic model. TisCoMM not only performs hypothesis testing to prioritize gene-trait associations, but also detects the tissue-specific role of candidate target genes in complex traits. To make use of widely available GWAS summary statistics, we extend TisCoMM to use summary-level data, namely, TisCoMM-S2. Using extensive simulation studies, we show that type I error is controlled at the nominal level, the statistical power of identifying associated genes is greatly improved, and false positive rate (FPR) for non-causal tissues is well controlled at decent levels. We further illustrate the benefits of our methods in applications to summary-level GWAS data of 33 complex traits. Notably, apart from better identifying potential trait-associated genes, we can elucidate the tissue-specific role of candidate target genes. The follow-up pathway analysis from tissue-specific genes for asthma shows that the immune system plays an essential function for asthma development in both thyroid and lung tissues.

bioinformatics↗

bioRxiv2019

Fertility of Pedicellate Spikelets in Sorghum is Controlled by a Jasmonic Acid Regulatory Module

As in other cereal crops, the panicles of sorghum (Sorghum bicolor (L.) Moench) comprise two types of floral spikelets (grass flowers). Only sessile spikelets (SSs) are capable of producing viable grains, whereas pedicellate spikelets (PSs) cease development after initiation and eventually abort. Consequently, grain number per panicle (GNP) is lower than the total number of flowers produced per panicle. The mechanism underlying this differential fertility is not well understood. To investigate this issue, we isolated a series of EMS-induced multiseeded (msd) mutants that result in full spikelet fertility, effectively doubling GNP. Previously, we showed that MSD1 is a TCP (Teosinte branched/Cycloidea/PCF) transcription factor that regulates jasmonic acid (JA) biosynthesis, and ultimately floral sex organ development. Here, we show that MSD2 encodes a lipoxygenase (LOX) that catalyzes the first committed step of JA biosynthesis. Further, we demonstrate that MSD1 binds to the promoters of MSD2 and other JA pathway genes. Together, these results show that a JA-induced module regulates sorghum panicle development and spikelet fertility. The findings advance our understanding of inflorescence development and could lead to new strategies for increasing GNP and grain yield in sorghum and other cereal crops.\n\nSignificanceThrough a single base pair mutation, grain number can be increased by ~200% in the globally important crop Sorghum bicolor. This mutation affects the expression of an enzyme, MSD2, that catalyzes the jasmonic acid pathway in developing floral meristems. The global gene expression profile in this enzymatic mutant is similar to that of a transcription factor mutant, msd1, indicating that disturbing any component of this regulatory module disrupts a positive feedback loop that occurs normally due to regular developmental perception of jasmonic acid. Additionally, the MSD1 transcription factor is able to regulate MSD2 in addition to other jasmonic acid pathway genes, suggesting that it is a primary transcriptional regulator of this hormone signaling pathway in floral meristems.

plant biology↗

bioRxiv2019

Variant Phasing and Haplotypic Expression from Single-molecule Long-read Sequencing in Maize

AbstractHaplotype phasing of genetic variants in maize is important for interpretation of the genome, population genetic analysis and functional genomic analysis of allelic activity. Accordingly, accurate methods for phasing the full-length isoforms are essential for functional genomics studies. We performed an isoform-level phasing study in maize, using two inbred lines and their reciprocal crosses, based on the single-molecule full-length cDNA sequencing. To phase and analyze the full-length transcripts between hybrids and parents, we developed a tool called IsoPhase. Using this tool, we validated the majority of SNPs called against matching short-read data and identified cases of allele-specific, gene-level and isoform-level expression. Our results revealed that maize parental lines and hybrid lines exhibit different splicing activities. After phasing 6,907 genes in two reciprocal hybrids using embryo, endosperm and root tissues, we annotated the SNPs and identified large-effect genes. In addition, based on single-molecule sequencing, we identified parent-of-origin isoforms in maize hybrids, distinct novel isoforms in maize parent and hybrid lines, and imprinted genes from different tissues. Finally, we characterized variation in cis- and trans-regulatory effects. Our study provides measures of haplotypic expression that could increase accuracy in studies of allelic expression.

bioinformatics↗

bioRxiv2019

CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies

MotivationAlthough genome-wide association studies (GWAS) have deepened our understanding of the genetic architecture of complex traits, the mechanistic links that underlie how genetic variants cause complex traits remains elusive. To advance our understanding of the underlying mechanistic links, various consortia have collected a vast volume of genomic data that enable us to investigate the role that genetic variants play in gene expression regulation. Recently, a collaborative mixed model (CoMM) [42] was proposed to jointly interrogate genome on complex traits by integrating both the GWAS dataset and the expression quantitative trait loci (eQTL) dataset. Although CoMM is a powerful approach that leverages regulatory information while accounting for the uncertainty in using an eQTL dataset, it requires individual-level GWAS data and cannot fully make use of widely available GWAS summary statistics. Therefore, statistically efficient methods that leverages transcriptome information using only summary statistics information from GWAS data are required.\n\nResultsIn this study, we propose a novel probabilistic model, CoMM-S2, to examine the mechanistic role that genetic variants play, by using only GWAS summary statistics instead of individual-level GWAS data. Similar to CoMM which uses individual-level GWAS data, CoMM-S2 combines two models: the first model examines the relationship between gene expression and genotype, while the second model examines the relationship between the phenotype and the predicted gene expression from the first model. Distinct from CoMM, CoMM-S2 requires only GWAS summary statistics. Using both simulation studies and real data analysis, we demonstrate that even though CoMM-S2 utilizes GWAS summary statistics, it has comparable performance as CoMM, which uses individual-level GWAS data.\n\nContactjin.liu@duke-nus.edu.sg\n\nAvailability and implementationThe implement of CoMM-S2 is included in the CoMM package that can be downloaded from https://github.com/gordonliu810822/CoMM.\n\nSupplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

bioRxiv2019

Extension of the in vivo haploid induction system from diploid maize to hexaploid wheat

Doubled haploid breeding technology has been one of the most important techniques for accelerating crop breeding. In compare to in vivo haploid induction in maize, which is efficient and background independent, wheat haploid production by interspecific hybridization pollinated with maize is influenced by genetic background and requires rescue of young embryos. Here, we analyzed the homologues of maize haploid induction gene MTL/ZmPLA1/NLD in several crop species systematically, the homologues are highly conserved in sorghum, millet and wheat etc. Since wheat is a very important polyploidy crop, as a proof of concept, we demonstrated that the in vivo haploid induction method could be extended from diploid maize to hexaploid wheat by knocking out the wheat homologues (TaPLAs). Result showed that double knock-out mutation could trigger wheat haploid induction at ~ 2%-3%, accompanied by 30% - 60% seed setting rate. The performance of haploid wheat individual showed shorter plant, narrower leaves and male sterile. Our results also revealed that knockout of TaPLA-A and TaPLA-D do not affect pollen viability. This study not only confirmed the function of the induction gene and explored a new approach for haploid production in wheat, but also provided an example that the in vivo haploid induction could be applied in more crop species with different ploidy levels. Furthermore, by combining with gene editing, it would be a fast and powerful platform for traits improvement in polyploidy crops breeding.

plant biology↗

bioRxiv2019

A microtubule-mediated mechanical feedback controls leaf blade development in three dimensions

Many plant species have thin leaf blades, which is an important adaptation that optimizes the exchanges with the environment. Here, we provide evidence that their three-dimensional geometry is governed by microtubule alignment along mechanical stress patterns in internal walls. Depending on the primary shape of the primordium, this process has the potential to amplify an initial degree of flatness, or promote the formation of nearly axisymmetric, mostly elongating organs, such as stems and roots. This mechanism may explain leaf evolution from branches, which is alternative to Zimmermanns influential, but widely questioned, telome theory.\n\nOne Sentence SummaryMechanical feedback controls leaf development in three dimensions

developmental biology↗

bioRxiv2019

Comparative Population Genomics of Bread Wheat (Triticum aestivum) Reveals Its Cultivation and Breeding History in China

The evolution of bread wheat (Triticum aestivum) is distinctive in that domestication, natural hybridization, and allopolyploid speciation have all had significant effects on the diversification of its genome. Wheat was spread around the world by humans and has been cultivated in China for ~4,600 years. Here, we report a comprehensive assessment of the evolution of wheat based on the genome-wide resequencing of 120 representative landraces and elite wheat accessions from China and other representative regions. We found substantially higher genetic diversity in the A and B subgenomes than in the D subgenome. Notably, the A and B subgenomes of the modern Chinese elite cultivars were mainly derived from European landraces, while Chinese landraces had a greater contribution to their D subgenomes. The duplicated copies of homoeologous genes from the A, B, and D subgenomes were commonly found to be under different levels of selection. Our genome-wide assessment of the genetic changes associated with wheat breeding in China provides new strategies and practical targets for future breeding.

plant biology↗

bioRxiv2018

System-level analysis of metabolic trade-offs during anaerobic photoheterotrophic growth in Rhodopseudomonas palustris

BackgroundLiving organisms need to allocate their limited resources in a manner that optimizes their overall fitness by simultaneously achieving several different biological objectives. Examination of these biological trade-offs can provide invaluable information regarding the biophysical and biochemical bases behind observed cellular phenotypes. A quantitative knowledge of a cell systems critical objectives is also needed for engineering of cellular metabolism, where there is interest in mitigating the fitness costs that may result from human manipulation.\n\nResultsTo study metabolism in photoheterotrophs, we developed and validated a genome-scale model of metabolism in Rhodopseudomonas palustris, a metabolically versatile gram-negative purple non-sulfur bacterium capable of growing phototrophically on various carbons sources, including inorganic carbon and aromatic compounds. To quantitatively assess trade-offs among a set of important biological objectives during different metabolic growth modes, we used our new model to conduct an 8-dimensional multi-objective flux analysis of metabolism in R. palustris. Our results revealed that phototrophic metabolism in R. palustris is a light-limited growth mode under anaerobic conditions, regardless of the available carbon source. Under photoheterotrophic conditions, R. Palustris prioritizes the optimization of carbon efficiency, followed by ATP production and biomass production rate, in a Pareto-optimal manner. To achieve maximum carbon fixation, cells appear to divert limited energy resources away from growth and toward CO2 fixation, even in presence of excess reduced carbon. We also found that to achieve the theoretical maximum rate of biomass production, anaerobic metabolism requires import of additional compounds (such as protons) to serve as electron acceptors. Finally, we found that production of hydrogen gas, of potential interest as a candidate biofuel, lowers the cellular growth rates under all circumstances.\n\nConclusionsPhotoheterotrophic metabolism of R. palustris is primarily regulated by the amount of light it can absorb and not the availability of carbon. However, despite carbons secondary role as a regulating factor, R. palustris metabolism strives for maximum carbon efficiency, even when this increased efficiency leads to slightly lower growth rates.

systems biology↗

bioRxiv2018

Duplications and functional specialization force distinct evolution of isoflavonoid biosynthetic genes in legumes

Isoflavonoids are specialized plant metabolites, almost exclusive to legumes, and synthesized by the phenylpropanoid pathway. Leguminous plants produce 5-deoxyflavonoids and 5-deoxyisoflavonoids that act in symbiosis with nitrogen-fixing bacteria and involved in plant pathogen and stress response. However, little is known about evolutional origin of legume-specific isoflavonoid biosynthesis pathway. Here, we explored the genome-wide analysis of key genes: chalcone synthase (CHS), chalcone reductase (CHR), isoflavone synthase (IFS) and isoflavone reductase (IFR), encoding enzymes involved in the biosynthesis of (iso) flavonoids in legumes and nonlegumes. Among them, CHS, CHR and IFR comprise multigene families, underling the significant role of gene duplication in the evolutionary. Most duplications of CHS were highly the conventional leguminous type, whereas some were grouped with nonleguminous CHS genes. We also found that CHR homologs in soybean and Sesbania rostrata previously reported were ambiguous and should be re-identified. Phylogenetic analysis and protein sequences alignment indicated that IFSs in legumes are highly conserved. Intriguingly, unlike other IFRs in legumes, IFR-like homologs in Sophora flavescens and Lupinus angustifolius shared high sequence similarity and protein structures with homologs in nonlegumes. Overall, these results offer reasonable gene annotations and comparative analysis and also provided a glimpse into evolutional route of legume-specific isoflavonoid biosynthesis.\n\nHighlightIsoflavonoids are specialized plant metabolites, almost exclusive to legumes. We firstly provide evidence that evolutional origin of legume-specific isoflavonoid biosynthesis may be driven by gene duplications and functional specialization.

genomics↗

bioRxiv2018

Uniform distribution of 35S promoter-driven mDII auxin control sensor in leaf primordia

The DII sensor has been an invaluable tool to map spatiotemporal auxin response and distribution in the model plant Arabidopsis thaliana. The DII sensor and mDII control sensor are driven by the widely used constitutive 35S promoter. However, the reliability of DII sensor has recently been questioned (Bhatia and Heisler, 2018). Here we provide additional evidence to show that the mDII control sensor is indeed uniformly distributed in early leaf primordia, which echoes the original reports (Vernoux et al., 2011; Brunoud et al., 2012). We also use DII/mDII and the PRS5A promoter-driven R2D2 sensors to confirm asymmetric auxin signaling in early leaf primordia. On the other hand, we provide evidence that light penetration may lead to artifacts during whole-mount imaging.

plant biology↗

bioRxiv2017

Kernel multitask regression for toxicogenetics

The development of high-throughput in vitro assays to study quantitatively the toxicity of chemical compounds on genetically characterized human-derived cell lines paves the way to predictive toxicogenetics, where one would be able to predict the toxicity of any particular compound on any particular individual. In this paper we present a machine learning-based approach for that purpose, kernel multitask regression (KMR), which combines chemical characterizations of molecular compounds with genetic and transcriptomic characterizations of cell lines to predict the toxicity of a given compound on a given cell line. We demonstrate the relevance of the method on the recent DREAM8 Toxicogenetics challenge, where it ranked among the best state-of-the-art models, and discuss the importance of choosing good descriptors for cell lines and chemicals.

bioinformatics↗

bioRxiv2017

Signaling Pathway Activities Improve Prognosis for Breast Cancer

With the advent of high-throughput technologies for genome-wide expression profiling, a large number of methods have been proposed to discover gene-based signatures as biomarkers to guide cancer prognosis. However, it is often difficult to interpret the list of genes in a prognostic signature regarding the underlying biological processes responsible for disease progression or therapeutic response. A particularly interesting alternative to gene-based biomarkers is mechanistic biomarkers, derived from signaling pathway activities, which are known to play a key role in cancer progression and thus provide more informative insights into cellular functions involved in cancer mechanism. In this study, we demonstrate that pathway-level features, such as the activity of signaling circuits, outperform conventional gene-level features in prediction performance in breast cancer prognosis. We also show that the proposed classification scheme can even suggest, in addition to relevant signaling circuits related to disease outcome, a list of genes that do not code for signaling proteins whose contribution to cancer prognosis potentially supplements the mechanisms detected by pathway analysis.

bioinformatics↗

bioRxiv2017

Complex interactions in legume/cereal intercropping system : role of root exudates in root-to-root communication

Dear Editor,\n\nLegume/cereal intercropping systems have been regarded as the practical application of basic ecological principles such as diversity, competition and facilitation. In a recent PNAS paper, Li et al. (1) describe the novel finding that maize exudates promote faba bean nodulation and nitrogen fixation by upregulating genes involved in (iso)flavonoids synthesis (chalcone-flavanone isomerase) within faba bean, resulting in production of more genistein, a legume-to-rhizobia signal during establishment of the faba bean N2-fixing symbiosis. Although we salute the authors methodological efforts, there is another mechanism that could be responsible for the effect of corn root exudates on faba been nitrogen fixation observed in this article (1). The authors may misunderstand their data and the signalling role of maize exudates, thus got a defective model for the root interactions between faba bean and maize.

plant biology↗

bioRxiv2016

The complex sequence landscape of maize revealed by single molecule technologies

Complete and accurate reference genomes and annotations provide fundamental tools for characterization of genetic and functional variation. These resources facilitate elucidation of biological processes and support translation of research findings into improved and sustainable agricultural technologies. Many reference genomes for crop plants have been generated over the past decade, but these genomes are often fragmented and missing complex repeat regions. Here, we report the assembly and annotation of maize, a genetic and agricultural model species, using Single Molecule Real-Time (SMRT) sequencing and high-resolution optical mapping. Relative to the previous reference genome, our assembly features a 52-fold increase in contig length and significant improvements in the assembly of intergenic spaces and centromeres. Characterization of the repetitive portion of the genome revealed over 130,000 intact transposable elements (TEs), allowing us to identify TE lineage expansions unique to maize. Gene annotations were updated using 111,000 full-length transcripts obtained by SMRT sequencing. In addition, comparative optical mapping of two other inbreds revealed a prevalence of deletions in the low gene density region and maize lineage-specific genes.

genomics↗