Biology subjects

Hu, G.

Publications and source records attributed to Hu, G..

At least 145 records · Page 8Linked to original sources

bioRxiv2020

Discovery of an evolutionarily conserved smooth muscle cell-specific lncRNA CARMN

Differentiated vascular smooth muscle cells (VSMCs) are critical in maintaining vascular homeostasis by expressing a unique repertoire of contractile genes. Despite the well-defined coding transcriptome in differentiated VSMCs, little is known about the non-coding gene expression signature. Herein, by de novo analyzing publicly available RNA-seq and single cell RNA-seq datasets generated from different tissues and cell types, we unambiguously identified CARMN (CARdiac Mesoderm Enhancer-associated Non-coding RNA) as an evolutionarily conserved, SMC-specific lncRNA. CARMN was initially annotated as the host gene of MIR143/145 cluster and recently reported to play roles in cardiac differentiation. Here, we generated a Carmn GFP knock-in reporter mouse model and confirmed its specific expression in SMCs in vivo. In addition, we found Carmn is transcribed independently from Mir143/145 and only expressed transiently in embryonic cardiomyocytes and thereafter becomes restricted to adult SMCs in both human and mouse. Furthermore, we demonstrated that CARMN expression is not only dramatically decreased in human vascular diseases but functionally critical in maintaining VSMC contractile phenotype in vitro. In conclusion, we provided the first evidence showing that CARMN is an evolutionarily conserved SMC-specific lncRNA, down-regulated in different human vascular diseases, and a key lncRNA for maintaining SMC contractile phenotype.

developmental biology↗

bioRxiv2020

The Gossypium longicalyx genome as a resource for cotton breeding and evolution

Cotton is an important crop that has made significant gains in production over the last century. Emerging pests such as the reniform nematode have threatened cotton production. The rare African diploid species Gossypium longicalyx is a wild species that has been used as an important source of reniform nematode immunity. While mapping and breeding efforts have made some strides in transferring this immunity to the cultivated polyploid species, the complexities of interploidal transfer combined with substantial linkage drag have inhibited progress in this area. Moreover, this species shares its most recent common ancestor with the cultivated A-genome diploid cottons, thereby providing insight into the evolution of long, spinnable fiber. Here we report a newly generated de novo genome assembly of G. longicalyx. This high-quality genome leveraged a combination of PacBio long-read technology, Hi-C chromatin conformation capture, and BioNano optical mapping to achieve a chromosome level assembly. The utility of the G. longicalyx genome for understanding reniform immunity and fiber evolution is discussed.

genomics↗

bioRxiv2019

Homoeologous gene expression and co-expression network analyses and evolutionary inference in allopolyploids

Polyploidy is a widespread phenomenon throughout eukaryotes. Due to the coexistence of duplicated genomes, polyploids offer unique challenges for estimating gene expression levels, which is essential for understanding the massive and various forms of transcriptomic responses accompanying polyploidy. Although previous studies have explored the bioinformatics of polyploid transcriptomic profiling, the causes and consequences of inaccurate quantification of transcripts from duplicated gene copies have not been addressed. Using transcriptomic data from the cotton genus (Gossypium) as an example, we present an analytical workflow to evaluate a variety of bioinformatic method choices at different stages of RNA-seq analysis, from homoeolog expression quantification to downstream analysis used to infer key phenomena of polyploid expression evolution. In general, GSNAP-PolyCat outperforms other quantification pipelines tested, and its derived expression dataset best represents the expected homoeolog expression and co-expression divergence. The performance of co-expression network analysis was less affected by homoeolog quantification than by network construction methods, where weighted networks outperformed binary networks. By examining the extent and consequences of homoeolog read ambiguity, we illuminate the potential artifacts that may affect our understanding of duplicate gene expression, including an over-estimation of homoeolog co-regulation and the incorrect inference of subgenome asymmetry in network topology. Taken together, our work points to a set of reasonable practices that we hope are broadly applicable to the evolutionary exploration of polyploids.

bioinformatics↗

bioRxiv2019

Primed acquisition and microhomology-mediated end-joining cooperate to confer specific CRISPR immunity against invasive genetic elements

CRISPR-Cas systems provide archaea and bacteria with adaptive immunity against invasive genetic elements through acquisition of invader-derived spacers. De novo spacer acquisition generally adapts spacers from both invaders and hosts with a bias towards invaders, while primed acquisition shows higher specificity to adapt spacers from invaders. Here, in Zymomonas mobilis subtype I-F system, primed acquisition showed much higher efficiency than de novo acquisition in this system. However, both routes recognised a large proportion of protospacers with the less conserved 5-end CC PAM. Moreover, primed acquisition showed a preference towards protospacers located at the opposite strand and 3 direction of the priming protospacer sites, differing from the canonical subtype I-F system. Further, self-spacers were adapted at a higher frequency during de novo spacer acquisition, probably leading to self-interference. Importantly, this species employed microhomology-mediated end-joining (MMEJ) for repair of host DNA breaks guided by self-targeted spacers, and overexpression of a host NAD+-dependent Ligase-A significantly increased the repair efficiency. In summary, our findings demonstrate that Z. mobilis uses primed acquisition for higher specific uptake of invader DNA and employs MMEJ to repair host DNA breaks guided by self-targeted spacers, showing specific immunity against invasive genetic elements.

genetics↗

bioRxiv2019

Loss of a novel striated muscle-enriched mitochondrial protein Coq10a enhances postnatal cardiac hypertrophic growth

Postnatal mammalian cardiomyocytes undergo a major transition from hyperplasia (increases in cell numbers) to hypertrophy (expansion in cell size). This process is accompanied by rapid mitochondrial biogenesis and metabolic switches to meet the demand of increased cardiac output. Although most mitochondrial components express ubiquitously, recent transcriptomic and proteomic analyses have discovered numerous tissue-specific mitochondrial proteins whose physiological functions are largely unknown. Here we report that a highly evolutionarily conserved mitochondrial protein Coq10a is predominantly expressed in mammalian cardiac and skeletal muscles, and is highly up-regulated around birth in a thyroid hormone-dependent manner. Deletion of Coq10a by CRISPR/Cas9 leads to enhanced cardiac growth after birth. Surprisingly, adult Coq10a mutant mice maintain the hypertrophic heart phenotype with increased levels of coenzyme Q (CoQ) per cardiomyocyte, preserved cardiac contractile function and mitochondrial respiration, which contrasts with reported mice and humans with mutations in other Coq family genes. Further RNA-seq analysis and mitochondrial characterization suggest an increase of mitochondrial biogenesis in the Coq10a mutant heart as a possible consequence of Peroxisome proliferator-activated receptor Gamma Coactivator 1-alpha (PGC1) activation, consistent with a recent intriguing report that CoQ may function as a natural ligand and partial agonist of Peroxisome Proliferator-Activated Receptor (PPAR) /{gamma}. Taken together, our study reveals a previously unknown function of a novel striated muscle-enriched mitochondrial protein Coq10a in regulating postnatal heart growth.

developmental biology↗

bioRxiv2019

Geomagnetic field intensity may be a cue for the regulation of insect migration

Geomagnetic field (GMF) intensity can be used by some animals to determine their direction and position during migration. However, its role, if any, in mediating other migration-related phenotypes remains largely unknown. Here, we simulated variation in GMF intensity between two locations along the migration route of a nocturnal insect migrant, the brown planthopper Nilaparvata lugens, that varied by [~]5 T (GMF50T vs. GMF45T) in field intensity. After one generation of exposure, we tested for changes in key morphological, behavioural and physiological traits related to migratory performance including wing dimorphism, flight capacity and positive phototaxis. Our results showed that all three morphological and behavioural phenotypes responded to a small difference in magnetic field intensity between the simulated northern vs. southern locations in ways expected along the migratory route. Consistent magnetic responses in the expression of the phototaxis-related Drosophila-like cryptochrome 1 (Cry1) gene and levels of two primary energy substrates used during flight, triglyceride and trehalose, were also found. Our findings indicate GMF intensity can be a cue that regulates the expression of phenotypes critical for insect migration and highlight the unique role of magnetoreception as a trait that can help migratory insects express potentially beneficial phenotypes in geographically variable environments.

animal behavior and cognition↗

bioRxiv2019

High risk of the Fall Armyworm invading into Japan and the Korean Peninsula via overseas migration

The fall armyworm, Spodoptera frugiperda (J.E. Smith) is an emerging and most severe pest species in the Old World. It is originally native in the Americas. Since 2016 it has spread widely and rapidly to throughout Africa, the Middle East, India, Southeast Asia and most recently southern China. By May 2019 it has appeared in 13 provinces in most southern China and would spread further to northern China. It is highly likely that S. frugiperda would enter into Japan and Korea via overseas migrations as many other migratory pests did before. To evaluate the invasion risk of S. frugiperda into Japan and Korean Peninsula, we modelled the rate of expansion and future potential migratory range of the insect by a trajectory analytical approach with flight behaviour of S. frugiperda implemented, and meteorological data of past five years (2014-2018) used. Our results predicted that S. frugiperda would migrate from southern and eastern China into Japan and Korea soon. Most likely, Japan would be invaded from Fujian and Zhejiang on 1 June - 15 July, and Kyushu, Shikoku and south-western Honshu could face the highest risk of S. frugiperdas invasion. Korea would be most possibly reached by S. frugiperda from northern Zhejiang, Jiangsu, Anhui, and Shandong on 1 June - 15 July and later. Our results indicated a very high risk that S. frugiperda would annually invade Japan and the Korean Peninsula and cause a possible significant decrease in agricultural productivity.

animal behavior and cognition↗

bioRxiv2019

Prediction of migratory routes of the invasive fall armyworm in eastern China using a trajectory analytical approach

BACKGROUNDThe fall armyworm (FAW), an invasive pest from the Americas, is rapidly spreading through the Old World, and has recently invaded the Indochinese Peninsula and southern China. In the Americas, FAW migrates from winter-breeding areas in the south into summer-breeding areas throughout North America where it is a major pest of corn. Asian populations are also likely to evolve migrations into the corn-producing regions of eastern China, where they will pose a serious threat to food security.\n\nRESULTSTo evaluate the invasion risk in eastern China, the rate of expansion and future migratory range was modelled by a trajectory simulation approach, combined with flight behaviour and meteorological data. Our results predict that FAW will migrate from its new year-round breeding regions into the two main corn-producing regions of eastern China (the North China and Northeast China Plains), via two pathways. The western pathway originates in Myanmar and Yunnan, and FAW will take four migration steps to reach the North China Plain by July. Migration along the eastern pathway from Indochina and southern China progresses faster, with FAW reaching the North China Plain in three steps by June and reaching the Northeast China Plain in July.\n\nCONCLUSIONOur results indicate that there is a high risk that FAW will invade the major corn-producing areas of eastern China via two migration pathways, and cause significant impacts to agricultural productivity. Information on migration pathways and timings can be used to inform integrated pest management strategies for this emerging pest.

animal behavior and cognition↗

bioRxiv2019

Genetic analysis of the transition from wild to domesticated cotton (G. hirsutum)

The evolution and domestication of cotton is of great interest from both economic and evolutionary standpoints. Although many genetic and genomic resources have been generated for cotton, the genetic underpinnings of the transition from wild to domesticated cotton remain poorly known. Here we generated an intraspecific QTL mapping population specifically targeting domesticated cotton phenotypes. We used 466 F2 individuals derived from an intraspecific cross between the wild Gossypium hirsutum var. yucatanense (TX2094) and the elite cultivar G. hirsutum cv. Acala Maxxa, in two environments, to identify 120 QTL associated with phenotypic changes under domestication. While the number of QTL recovered in each subpopulation was similar, only 22 QTL were considered coincident (i.e., shared) between the two locations, eight of which shared peak markers. Although approximately half of QTL were located in the A-subgenome, many key fiber QTL were detected in the D-subgenome, which was derived from a species with unspinnable fiber. We found that many QTL are environment-specific, with few shared between the two environments, indicating that QTL associated with G. hirsutum domestication are genomically clustered but environmentally labile. Possible candidate genes were recovered and are discussed in the context of the phenotype. We conclude that the evolutionary forces that shape intraspecific divergence and domestication in cotton are complex, and that phenotypic transformations likely involved multiple interacting and environmentally responsive factors. SummaryAn F2 population between wild and domesticated cotton was used to identify QTL associated with selection under domestication. Multiple traits characterizing domesticated cotton were evaluated, and candidate genes underlying QTL are described for all traits. QTL are unevenly distributed between subgenomes of the domesticated polyploid, with many fiber QTL located on the genome derived from the D parent, which does not have spinnable fiber, but a majority of QTL overall located on the A subgenome. QTL are many (120) and environmentally labile. These data, together with candidate gene analyses, suggest recruitment of many environmentally responsive factors during cotton domestication.

genetics↗

bioRxiv2019

Seasonal Change of Microbial Diversity and Its Relation with Soil Chemical Properties in Orchard

This study aimed to determine the microbial diversity of different soil depths (0-5 and 5-20 cm) in a subtropical orchard during different seasons (i.e., Spring, Summer and Autumn) for enrich the knowledgements on micorbes roles in orchard ecosystem balance. In tracking experiments conducted in an orchard (established in 1996), the phospholipid fatty acid (PLFA) biomarker method was employed to know soil microbial system. Total PLFAs concentration did not vary significantly between soil depths but changed between seasons. It peaked in the summer at 258.97 {+/-} 23.48 g g-1 soil from 0-5 cm and at 270.99 {+/-} 58.94 g g-1 soil from 5-20 cm. A total of 33 microbial fatty acid biomarkers were observed and identified in the sampled soil. Quantities of PLFAs for 29 microbe groups varied significantly between seasons, except for 15:0 iso 3OH, 15:1 iso G, 16:0 2OH, and 17:0 iso 3OH. The bacterial PLFAs and fungal and actinomycotic PLFAs in the orchard soil collected in Summer were significantly higher than in the Spring or Autumn (P < 0.01). The number of soil microorganism species (Richness) and the Simpson and Shannon-Wiener indexes were all the highest in summer. The total PLFAs, bacterial PLFAs, fungal PLFAs, actinomycotic PLFAs, Richness, or the Simpson and Shannon-Wiener indexes were all significantly negatively correlated with soil pH, total carbon (TOC), total nitrogen (TN) and cation-exchange capacity (CEC) (P < 0.05).

microbiology↗

bioRxiv2019

Deep learning enables accurate clustering and batch effect removal in single-cell RNA-seq analysis

Single-cell RNA sequencing (scRNA-seq) can characterize cell types and states through unsupervised clustering, but the ever increasing number of cells imposes computational challenges. We present an unsupervised deep embedding algorithm for single-cell clustering (DESC) that iteratively learns cluster-specific gene expression signatures and cluster assignment. DESC significantly improves clustering accuracy across various datasets and is capable of removing complex batch effects while maintaining true biological variations.

genomics↗

bioRxiv2019

Identification of 12 cancer types through genome deep learning

MotivationCancer is a major cause of death worldwide, and an early diagnosis is required for a favorable prognosis. Histological examination is the gold standard for cancer identification; however, there is a large amount of inter-observer variability in histological diagnosis. Numerous studies have shown that cancer genesis is accompanied by an accumulation of harmful mutations within patients genome, potentiating the identification of cancer based on genomic information. We have proposed a method, GDL (genome deep learning), to study the relationship between genomic variations and traits based on deep neural networks with multiple hidden layers and nonlinear transformations. ResultWe analyzed 6,083 samples from 12 cancer types obtained from the TCGA (The Cancer Genome Atlas) and 1,991 healthy samples from the 1000 Genomes project(Genomes Project, et al., 2010). We constructed 12 specific models to distinguish between certain types of cancers and healthy tissues, a specific model that can identify healthy vs diseased tissues, and a mixture model to distinguish between all 12 types of cancer based on GDL. We present the success obtained with GDL when applied to the challenging problem of cancer based on genomic variations and demonstrate state-of-the-art results (97%, 70.08% and 94.70%) for cancer identification. The mixture model achieved a comparable performance. With the development of new molecular and sequencing technologies, we can now collect circulating tumor DNA (ctDNA) from blood and monitor the cancer risk in real time, and using our model, we can also target cancerous tissue that may develop in the future. We developed a new and efficient method for the identification of cancer based on genomic information that offers a new direction for disease diagnosis while providing a new method to predict traits based on that information. Contactchenwenbin@genomics.cn

bioinformatics↗

bioRxiv2018

Differential responses of antioxidants and dehydrin expression in two switchgrass (Panicum virgatum) cultivars contrasting in drought tolerance

Drought stress is a major limiting factor for plant growth and development in many regions of the world. This study was designed to investigate antioxidant metabolism and dehydrin expression responses to drought stress in two switchgrass cultivars (drought tolerant Alamo, and drought sensitive Dacotah) contrasting in drought tolerance. The plants were subjected to well-watered [100% evapotranspiration (ET)] or drought stress (30%-50% ET) conditions for up to 24 d in growth chambers. Drought stress decreased leaf relative water content (RWC), increased leaf electrolyte leakage (EL), leaf malondialdehyde (MDA) content in two cultivars, but Alamo exhibited higher leaf RWC level, lower leaf EL and MDA when compared to Dacotah at 24 d of drought treatment. Drought stress also increased superoxide dismutase (SOD), catalase (CAT) and ascorbate peroxidase (APX) activities in two cultivars, Alamo had relatively higher SOD, CAT and APX activities and greater abundance of SOD and APX isozymes than Dacotah at 24 d of drought treatment. Alamo had higher abundance of 55 KDa and 18 KDa dehydrin accumulation than Dacotah under drought treatment. Relative genes expression level of PvCAT1, PvAPX2, PvERD and PvPIP1;5 in Alamo were significantly higher than Dacotah at 24 d of drought treatment. These results suggest that increase in antioxidant enzymes and accumulation of dehydrin were highly related with switchgrass drought tolerance. Antioxidant enzyme activity, isozyme expression and dehydrin abundance could provide a useful screening tool to identify relative drought tolerance in switchgrass cultivars.

plant biology↗

bioRxiv2018

Transfer learning in single-cell transcriptomics improves data denoising and pattern discovery

Single-cell RNA sequencing (scRNA-seq) data is noisy and sparse. Here, we show that transfer learning across datasets remarkably improves data quality. By coupling a deep autoencoder with a Bayesian model, SAVER-X extracts transferable gene-gene relationships across data from different labs, varying conditions, and divergent species to denoise target new datasets.

bioinformatics↗

bioRxiv2018

The ghr-miR164 and GhNAC100 module participates in cotton plant defence against Verticillium dahliae

Previous reports have shown that many miRNAs were identified at the early induction stage during which Verticillium dahliae localizes at the root surface. In this study, we constructed two sRNA libraries of cotton root responses to this fungus at the later induction stage when the pathogen enters the root vascular tissue. We identified 71 known miRNAs and 378 novel miRNAs from two pathogen-induced sRNAs and the control libraries. Combined with degradome and sRNA sequencing, 178 corresponding miRNA target genes were identified, in which 40 target genes from differentially expressed miRNAs were primarily associated with oxidation-reduction and stress responses. More importantly, we characterized the ghr-miR164-GhNAC100 module in the response of the plant to V dahliae infection. A GUS fusion reporter showed that ghr-miR164 directly cleaved the mRNA of GhNAC100 in the post-transcriptional process. ghr-miR164-silencing increased the resistance of the plant to this fungus, while the knockdown of GhNAC100 elevated the susceptibility of the plant, indicating that ghr-miR164-GhNAC100 modulates plant defence through the post-transcriptional regulation. Our data documented that there are numerous miRNAs at the later induction stage that participate in the plant response to V. dahliae, suggesting that miRNAs play important roles in plant resistance to vascular disease.\n\nHighlightAccording to degradome and sRNA sequencings of cotton root in responses to Verticillium dahliae at the later induction stage, many miRNAs and corresponding targets including ghr-miR164-GhNAC100 module participate plant defence.

molecular biology↗

bioRxiv2018

Downregulation of insulin-like growth factor binding protein 5 is involved in intervertebral disc degeneration via the ERK signaling pathway

Introduction Introduction Results Discussion Material and methods Conflict of interest References Intervertebral disc degeneration (IDD) is a disease of discs connecting adjoining vertebrae in which structural damage causes the degeneration of the disc and the surrounding area. This disease represents a common cause of back pain, and its treatment is costly and relatively ineffective (Kepler et al., 2013), with patients who do not achieve improvement with conservative management possibly requiring surgery (Lurie et al., 2014; Postacchini, 1996). It has been reported that the central features of IDD are the reduction in the nucleus pulposus (NP) cell population and the loss of extracellular matrix molecules (ECM), which eventually leads to major changes in the ...

molecular biology↗

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

The monothiol glutaredoxin Grx4 interacts with the Cryptococcus iron regulator Cir1 and regulates iron homeostasis and virulence in the Cryptococcus neoformans

The acquisition of iron and the maintenance of iron homeostasis are important aspects of the virulence in the pathogenic fungus Cryptococcus neoformans. In this study, we identified the monothiol glutaredoxin Grx4 as a binding partner of Cir1, a master regulator of iron-responsive genes and virulence factor elaboration in C. neoformans. Monothiol glutaredoxins are important regulators of iron homeostasis because of their conserved roles in [2Fe-2S] cluster sensing and trafficking. We confirmed that Grx4 binds Cir1 and demonstrated that iron repletion promotes the relocalization of Grx4 from the nucleus to the cytoplasm. Nuclear retention is partially dependent on Cir1 and also influenced by treatment with the proteasome inhibitor bortezomib. Cir1 remains in the nucleus in both iron replete and iron limiting conditions. We also found that a grx4{Delta} mutant displayed iron-related phenotypes similar to those of a cir1{Delta} mutant, including poor growth upon iron deprivation. Importantly, a grx4{Delta} mutant was avirulent in mice, a phenotype consistent with observed defects in the key virulence determinants, capsule and melanin, and poor growth at 37{degrees}C. A comparative transcriptome analysis of a grx4{Delta} mutant and the WT strain in low iron and iron-replete conditions confirmed a central role for Grx4 in iron homeostasis. Dysregulation of iron-related metabolism was consistent with grx4{Delta} mutant phenotypes related to oxidative stress, mitochondrial function, and DNA repair. Overall, the phenotypes of the grx4{Delta} mutant and the RNA-Seq analysis support the hypothesis that Grx4 functions as a sensor of iron levels, in part through an interaction with Cir1, to extensively regulate iron homeostasis and contribute to virulence.

microbiology↗