Biology subjects

Xia, Z.

Publications and source records attributed to Xia, Z..

At least 73 records · Page 4Linked to original sources

bioRxiv2021

Discovery of SARS-CoV-2 papain-like protease inhibitors through a combination of high-throughput screening and FlipGFP-based reporter assay

The papain-like protease (PLpro) of SARS-CoV-2 is a validated antiviral drug target. PLpro is involved in the cleavage of viral polyproteins and antagonizing host innate immune response through its deubiquitinating and deISG15ylating activities, rendering it a high profile antiviral drug target. Through a FRET-based high-throughput screening, several hits were identified as PLpro inhibitors with IC50 values at the single-digit micromolar range. Subsequent lead optimization led to potent inhibitors with IC50 values ranging from 0.56 to 0.90 {micro}M. To help prioritize lead compounds for the cellular antiviral assay against SARS-CoV-2, we developed the cell-based FlipGFP assay that is suitable for quantifying the intracellular enzymatic inhibition potency of PLpro inhibitors in the BSL-2 setting. Two compounds selected from the FlipGFP-PLpro assay, Jun9-53-2 and Jun9-72-2, inhibited SARS-CoV-2 replication in Caco-2 hACE2 cells with EC50 values of 8.89 and 8.32 {micro}M, respectively, which were 3-fold more potent than GRL0617 (EC50 = 25.1 {micro}M). The X-ray crystal structures of PLpro in complex with GRL0617 showed that binding of GRL0617 to SARS-CoV-2 induced a conformational change in the BL2 loop to the more closed conformation. Overall, the PLpro inhibitors identified in this study represent promising starting points for further development as SARS-CoV-2 antivirals, and FlipGFP-PLpro assay might be a suitable surrogate for screening PLpro inhibitors in the BSL-2 setting.

pharmacology and toxicology↗

bioRxiv2021

AsmMix: A pipeline for high quality diploid denovo assembly

In this paper, we report a pipeline, AsmMix, which is capable of producing both contiguous and high-quality diploid genomes. The pipeline consists of two steps. In the first step, two sets of assemblies are generated: one is based on co-barcoded reads, which are highly accurate and haplotype-resolved but contain many gaps, the other assembly is based on single-molecule sequencing reads, which is contiguous but error-prone. In the second step, those two sets of assemblies are compared and integrated into a haplotype-resolved assembly with fewer errors. We test our pipeline using a dataset of human genome NA24385, perform variant calling from those assemblies and then compare against GIAB Benchmark. We show that AsmMix pipeline could produce highly contiguous, accurate, and haplotype-resolved assemblies. Especially the assembly mixing process could effectively reduce small-scale errors in the long read assembly.

genomics↗

bioRxiv2020

Epitranscriptomic editing of the RNA N6-methyladenosine modification by dCasRx conjugated methyltransferase and demethylase

N6-methyladenosine (m6A) is the most common modification on endogenous RNA transcripts in mammalian cells. Currently, the lack of precise single-nucleotide RNA modification tools makes it challenging to understand the relationship between site-specific RNA methylation and the corresponding phenotypic outcomes. Here, we developed a bidirectional dCasRx epitranscriptome editing platform composed of a nucleus-localized dCasRx conjugated with either a methyltransferase, METTL3, or a demethylase, ALKBH5, to manipulate methylation events at targeted m6A sites in HEK293T and glioma stem cells. This platform specifically and efficiently edited m6A modifications at targeted sites, modulating both gene expression and cell proliferation. We then employed the dCasRx epitranscriptomic editor to further elucidate the molecular function of m6A-binding proteins YTH (DF1, DF2, DF3) family and found that the YTH paralogs act together to mediate RNA degradation. These findings collectively demonstrate that the dCasRx epitranscriptome perturbation platform reported in this study can be employed as site-specific m6A editors for delineating the functional roles of individual m6A modifications in the mammalian epitranscriptome.

molecular biology↗

bioRxiv2020

exosome-LncPICALM-AU1 regulates endothelial-mesenchymal transition in hepatopulmonary syndrome

As important mediators of intercellular communication, exosome have can modulate various cellular functions by transferring a variety of intracellular components to target cells. However, little is known about the role of exosome-mediated communication between distant organs. Hepatopulmonary syndrome (HPS) is a severe lung injury caused by chronic liver disease. A new long noncoding RNA (lncRNA) PICALM-AU1 was found and upregulated in the liver of HPS. It was located in the cholangiocytes of liver and then, secreted as exosome into the serum. PICALM-AU1 carrying serum exosomes induced endothelial-mesenchymal transition (EndMT) of PMVECs and promoted lung injury in vivo and in vitro. Furthermore, overexpression of PICALM-AU1 significantly suppressed miR144-3p and subsequently induced ZEB1 expression. Taken together, our findings identified cholangiocyte-derived exosomal lncRNA PICALM-AU1 plays a critical role in the EndMT of HPS lung. And PICALM-AU1 represents a noninvasive biomarker and potential therapeutic target for HPS.

pathology↗

bioRxiv2020

Resiniferatoxin (RTX) ameliorates acute respiratory distress syndrome (ARDS) in a rodent model of lung injury

Acute lung injury (ALI) is associated with cytokine release, pulmonary edema and in the longer term, fibrosis. A severe cytokine storm and pulmonary pathology can cause respiratory failure due to acute respiratory distress syndrome (ARDS), which is one of the major causes of mortality associated with ALI. In this study, we aimed to determine a novel neural component through cardiopulmonary spinal afferents that mediates lung pathology during ALI/ARDS. We ablated cardiopulmonary spinal afferents through either epidural T1-T4 dorsal root ganglia (DRG) application or intra-stellate ganglia delivery of a selective afferent neurotoxin, resiniferatoxin (RTX) in rats 3 days post bleomycin-induced lung injury. Our data showed that both epidural and intra-stellate ganglia injection of RTX significantly reduced plasma extravasation and reduced the level of lung pro-inflammatory cytokines providing proof of principle that cardiopulmonary spinal afferents are involved in lung pathology post ALI. Considering the translational potential of stellate ganglia delivery of RTX, we further examined the effects of stellate RTX on blood gas exchange and lung edema in the ALI rat model. Our data suggest that intra-stellate ganglia injection of RTX improved pO2 and blood acidosis 7 days post ALI. It also reduced wet lung weight in bleomycin treated rats, indicating a reduction in lung edema. Taken together, this study suggests that cardiopulmonary spinal afferents play a critical role in lung inflammation and edema post ALI. This study shows the translational potential for ganglionic administration of RTX in ARDS.

physiology↗

bioRxiv2020

Phenotype-guided subpopulation identification from single-cell sequencing data

Single-cell sequencing yields novel discoveries by distinguishing cell types, states and lineages within the context of heterogeneous tissues. However, interpreting complex single-cell data from highly heterogeneous cell populations remains challenging. Currently, most existing single-cell data analyses focus on cell type clusters defined by unsupervised clustering methods, which cannot directly link cell clusters with specific biological and clinical phenotypes. Here we present Scissor, a novel approach that utilizes disease phenotypes to identify cell subpopulations from single-cell data that most highly correlate with a given phenotype. This "phenotype-to-cell within a single step" strategy enables the utilization of a large amount of clinical information that has been collected for bulk assays to identify the most highly phenotype-associated cell subpopulations. When applied to a lung cancer single-cell RNA-seq (scRNA-seq) dataset, Scissor identified a subset of cells exhibiting high hypoxia activities, which predicted worse survival outcomes in lung cancer patients. Furthermore, in a melanoma scRNA-seq dataset, Scissor discerned a T cell subpopulation with low PDCD1/CTLA4 and high TCF7 expressions, which is associated with a favorable immunotherapy response. Thus, Scissor provides a novel framework to identify the biologically and clinically relevant cell subpopulations from single-cell assays by leveraging the wealth of phenotypes and bulk-omics datasets.

bioinformatics↗

bioRxiv2020

Neurofunctional mechanisms underlying audiovisual integration of characters and pinyin in Chinese children

Effortless print-sound integration is essential to reading development, and the superior temporal cortex (STC) is the most critical brain region. However, to date, the conclusion is almost restricted to alphabetic orthographies. To examine the neural basis in non-alphabetic languages and its relationship with reading abilities, we conducted a functional magnetic resonance imaging study in typically developing Chinese children. Two neuroimaging-based indicators of audiovisual processing--additive enhancement (higher activation in the congruent than the average activation of unimodal conditions) and neural integration (different activations between the congruent versus incongruent conditions)--were used to investigate character-sounds (opaque) and pinyin-sounds (transparent) processing. We found additive enhancement in bilateral STCs processing both character and pinyin stimulations. Moreover, the neural integrations in the left STC for the two scripts were strongly correlated. In terms of differentiation, first, areas beyond the STCs showed additive enhancement in processing pinyin-sounds. Second, while the bilateral STCs, left inferior/middle frontal and parietal regions manifested a striking neural integration (incongruent > congruent) for character-sounds, no significant clusters were revealed for pinyin-sounds. Finally, the neural integration in the left middle frontal gyrus for characters was specifically associated with silent reading comprehension proficiency, indicating automatic semantic processing during implicit character-sound integration. In contrast, the neural integration in the left STC for pinyin was specifically associated with oral reading fluency that relies on grapho-phonological mapping. To summarize, this study revealed both script-universal and script-specific neurofunctional substrates of print-sound integration as well as their processing- and region-dependent associations with reading abilities in typical Chinese children. HighlightsO_LIThe bilateral superior temporal cortices display additive enhancement in processing print-sound information regardless of orthographies. C_LIO_LIThe location, direction, and strength of the neural audiovisual integration are modulated by orthographic transparency. C_LIO_LIThe neural integration in the left middle frontal gyrus in processing character-sounds is correlated to reading comprehension. C_LIO_LIThe neural integration in the left superior temporal gyrus for pinyin is correlated with oral reading fluency. C_LIO_LIThe neural integrations of character-sounds and pinyin-sounds show spatial overlap and inter-subject correlation in the left superior temporal cortex. C_LI

neuroscience↗

bioRxiv2020

Advanced paternal age effect on offspring's reading ability: The mediating role of thalamic maturation

The importance of (inherited) genetic impact in reading development is well-established. De novo mutation is another important contributor that is recently gathering interest as a major liability of neurodevelopmental disorders, but has been neglected in reading research to date. Paternal age at childbirth (PatAGE) is known as the most prominent risk factor for de novo mutation, which has been repeatedly shown by molecular genetic studies. As one of the first efforts, we performed a preliminary investigation of the relationship between PatAGE, offsprings reading, and brain structure in a longitudinal neuroimaging study following 51 children from kindergarten through third grade. The results showed that greater PatAGE was associated significantly with worse reading, explaining an additional 9.5% of the variations after controlling for a number of confounds--including familial factors and cognitive-linguistic reading precursors. Moreover, this effect was mediated by volumetric maturation of the left posterior thalamus from ages 5 to 8. Complementary analyses indicated the PatAGE-related thalamic region was most likely located in the pulvinar nuclei and related to the dorsal attention network by using brain atlases, public datasets, and offsprings diffusion imaging data. Altogether, these findings provide novel insights into neurocognitive mechanisms underlying the PatAGE effect on reading acquisition during its earliest phase and suggest promising areas of future research. HighlightsO_LIPaternal age at childbirth (PatAGE) is negatively correlated with offsprings reading abilities. C_LIO_LIPatAGE is related to volumetric maturation of the left posterior thalamus. C_LIO_LIThalamic development mediates the PatAGE effect on reading. C_LIO_LIThe PatAGE-related thalamic area is more likely to connect with the dorsal attention network. C_LI

neuroscience↗

bioRxiv2020

Breakage of the Oligomeric CaMKII Hub by the Regulatory Segment of the Kinase

Ca2+/calmodulin dependent protein kinase II (CaMKII) is a dodecameric or tetradecameric enzyme with crucial roles in neuronal signaling and cardiac function. Activation of CaMKII is reported to trigger the exchange of subunits between holoenzymes, which can increase spread of the active state. Using mass spectrometry, we now show that peptides derived from the sequence of the CaMKII- regulatory segment can bind to the CaMKII- hub assembly and break it into smaller oligomers. Molecular dynamics simulations show that the regulatory segments can dock spontaneously at the interface between hub subunits, trapping large fluctuations in hub structure. Single-molecule fluorescence intensity analysis of human CaMKII- isolated from mammalian cells shows that activation of CaMKII- results in the destabilization of the holoenzyme. Our results show how the release of the regulatory segment by activation and phosphorylation could allow it to destabilize the hub, producing smaller CaMKII assemblies that can reassemble to form new holoenzymes.

bioinformatics↗

bioRxiv2020

Chromosome-Scale Genome Assembly Provides Insights into Speciation of Allotetraploid and Massive Biomass Accumulation of Elephant Grass (Pennisetum purpureum Schum.)

Elephant grass (Pennisetum purpureum Schum., AABB, 2n=4x=28), which is characterized as robust growth and high biomass, and widely distributed in tropical and subtropical areas globally, is an important forage, biofuels and industrial plant. We sequenced its allopolyploid genome and assembled 2.07 Gb (96.88%) into A and B sub-genomes of 14 chromosomes with scaffold N50 of 8.47 Mb. A total of 38,453 and 36,981 genes were annotated in A and B sub-genomes, respectively. A phylogenetic analysis with species in Pennisetum identified that the speciation of the allotetraploid occurred approximately 15 MYA after the divergence between S.italica and P. glaucum. Double whole-genome duplication (WGD) and polyploidization events resulted in large scale gene expansion, especially in the key steps of growth and biomass accumulation. Integrated transcriptome profiling revealed the functional differentiation between sub-genomes; A sub-genome contributed more to plant growth, development and photosynthesis whereas B sub-genome primarily offered functions of effective transportation and resistance to stimulation. The results uncovered enhanced cellulose and lignin biosynthesis pathways with 645 and 666 genes expanded in A and B sub-genomes, respectively. Our findings provided deep insights into the speciation and genetic basis of fast growth and high biomass accumulation in the species. The genetic, genomic, and transcriptomic resources generated in this study will pave the way for further domestication and selection of these economical species and making them more adaptive to industrial utilization.

genomics↗

bioRxiv2019

Advanced Whole Genome Sequencing Using a Complete PCR-free Massively Parallel Sequencing (MPS) Workflow

BackgroundSystematic errors can be introduced from DNA amplification during massively parallel sequencing (MPS) library preparation and sequencing array formation. Polymerase chain reaction (PCR)-free genomic library preparation methods were previously shown to improve whole genome sequencing (WGS) quality on the Illumina platform, especially in calling insertions and deletions (InDels). We hypothesized that substantial InDel errors continue to be introduced by the remaining PCR step of DNA cluster generation. In addition to library preparation and sequencing, data analysis methods are also important for the accuracy of the output data.In recent years, several machine learning variant calling pipelines have emerged, which can correct the systematic errors from MPS and improve the data performance of variant calling. ResultsHere, PCR-free libraries were sequenced on the PCR-free DNBSEQ arrays from MGI Tech Co., Ltd. (referred to as MGI) to accomplish the first true PCR-free WGS which the whole process is truly not only PCR-free during library preparation but also PCR-free during sequencing. We demonstrated that PCR-based WGS libraries have significantly (about 5 times) more InDel errors than PCR-free libraries.Furthermore, PCR-free WGS libraries sequenced on the PCR-free DNBSEQ platform have up to 55% less InDel errors compared to the NovaSeq platform, confirming that DNA clusters contain PCR-generated errors.In addition, low coverage bias and less than 1% read duplication rate was reproducibly obtained in DNBSEQ PCR-free using either ultrasonic or enzymatic DNA fragmentation MGI kits combined with MGISEQ-2000. Meanwhile, variant calling performance (single-nucleotide polymorphisms (SNPs) F-score>99.94%, InDels F-score>99.6%) exceeded widely accepted standards using machine learning (ML) methods (DeepVariant or DNAscope). ConclusionsEnabled by the new PCR-free library preparation kits, ultra high-thoughput PCR-free sequencers and ML-based variant calling, true PCR-free DNBSEQ WGS provides a powerful solution for improving WGS accuracy while reducing cost and analysis time, thus facilitating future precision medicine, cohort studies, and large population genome projects.

genomics↗

bioRxiv2019

TGF-β signaling is critical for maintenance of the tendon cell fate

Studies of cell fate focus on specification, but little is known about maintenance of the differentiated state. We find that TGF{beta} signaling plays an essential role in maintenance of the tendon cell fate. To examine the role TGF{beta} signaling in tenocytes TGF{beta} type II receptor was targeted in the Scleraxis cell lineage. Tendon development was not disrupted in mutant embryos, but shortly after birth tenocytes lost differentiation markers and reverted to a more stem/progenitor state. Targeting of Tgfbr2 using other Cre drivers did not cause tenocyte dedifferentiation suggesting a critical significance for the spatio-temporal activity of ScxCre. Viral reintroduction of Tgfbr2 to mutants was sufficient to prevent and even rescue mutant tenocytes suggesting a continuous and cell-autonomous role for TGF{beta} signaling in cell fate maintenance. These results uncover the critical importance of molecular pathways that maintain the differentiated cell fate and a key role for TGF{beta} signaling in these processes.

cell biology↗

bioRxiv2019

Detection and characterization of copy number variants based on whole-genome sequencing by MGI platforms

BackgroundNext-generation sequence (NGS) has rapidly developed in past years which makes whole-genome sequencing (WGS) becoming a more cost- and time-efficient choice in wide range of biological researches. We usually focus on some variant detection via WGS data, such as detection of single nucleotide polymorphism (SNP), insertion and deletion (Indel) and copy number variant (CNV), which playing an important role in many human diseases. However, the feasibility of CNV detection based on WGS by DNBSEQ platforms was unclear. We systematically analysed the genome-wide CNV detection power of DNBSEQ platforms and Illumina platforms on NA12878 with five commonly used tools, respectively.\n\nResultsDNBSEQ platforms showed stable ability to detect slighter more CNVs on genome-wide (average 1.24-fold than Illumina platforms). Then, CNVs based on DNBSEQ platforms and Illumina platforms were evaluated with two public benchmarks of NA12878, respectively. DNBSEQ and Illumina platforms showed similar sensitivities and precisions on both two benchmarks. Further, the difference between tools for CNV detection was analyzed, and indicated the selection of tool for CNV detection could affected the CNV performance, such as count, distribution, sensitivity and precision.\n\nConclusionThe major contribution of this paper is providing a comprehensive guide for CNV detection based on WGS by DNBSEQ platforms for the first time.

bioinformatics↗

bioRxiv2019

Electrochemical Roughening and Carbon Nanotube Coating of Tetrodes for Chronic Single-Unit Recording

Recording from single neurons in the brain for long periods of time has been a central goal in both basic neuroscience and translational neurology, in order to understand mechanisms underlying brain processes such as learning and to understand the pathogenesis of neurodynamic disease states 1. Recent advances in materials engineering, digital signal acquisition, and analysis algorithms have brought us closer to achieving this goal, and the possibility has gathered much public attention 2,3. However, it remains a challenge to record from the same units for weeks to months. Here, we record many high-quality tetrode neuronal signals reliably over long periods of time in both deep and superficial areas of the brain. We achieve this by combining electrochemical roughening and carbon nanotube coating of a flexible platinum/iridium substrate, with materials, packaging, and insertion optimized to minimize tip movement with brain pulsation. This \"Magdeburger\" probe enables recordings with long-term signal stability and high signal-to-noise ratio at a reasonable cost in both rodent brains and in substantially larger primate brains. Robust tetrode tracking of identified neurons over longer time periods, in multiple independently targeted areas of the brain, will allow fundamental advances in the study of cognitive learning, aging, and pathogenesis, and opens new possibilities for brain interfaces in humans.

bioengineering↗

bioRxiv2019

WinnerTakeAlmostAll: A parsimony approach integrating multi-targets improves marker gene profiling

Amplicon sequencing need to go from using single region to multiple region, one for higher resolution, one for technical replicates. WinnerTakeAlmostAll is an algorithm to calculate a minimum set of references based on the reference-query graph. We showed that this algorithm is superior in resolving species, as well as average out the run effect using technical replicates.

bioinformatics↗

bioRxiv2019

Identification of 67 pleiotropic genes for seven autoimmune diseases using multivariate statistical analysis

Although genome-wide association studies (GWAS) have a dramatic impact on susceptibility locus discovery, this univariate approach has limitation in detecting complex genotype-phenotype correlations. It is essential to identify shared genetic risk factors acting through common biological mechanisms of autoimmune diseases with a multivariate analysis. In this study, the GWAS summary statistics including 41,274 single nucleotide polymorphisms (SNPs) located in 11,516 gene regions was analyzed to identify shared variants of seven autoimmune diseases using metaCCA method. Gene-based association analysis was used to refine the pleiotropic genes. In addition, GO term enrichment analysis and protein-protein interaction network analysis were applied to explore the potential biological function of the identified genes. After metaCCA analysis, 4,962 SNPs (P<1.21x10-6) and 1,044 pleotropic genes (P<4.34x10-6) were identified. By screening the results of gene-based p-values, we identified the existence of 27 confirmed pleiotropic genes and highlighted 40 novel pleiotropic genes which achieved significance threshold in metaCCA analysis and were also associated with at least one autoimmune disease in the VEGAS2 analysis. The metaCCA method could identify novel variants associated with complex diseases incorporating different GWAS datasets. Our analysis may provide insights for some common therapeutic approaches of autoimmune diseases based on the pleiotropic genes and common mechanisms identified. Author summaryAlthough previous researches have clearly indicated varying degrees of overlapping genetic sensitivities in autoimmune diseases, it has proven GWAS only explain small percent of heritability. Here, we take advantage of recent technical and methodological advances to identify pleiotropic genes that act on common biological mechanisms and the overlapping pathophysiological pathways of autoimmune diseases. After selection using multivariate analysis and verification using gene-based analyses, we successfully identified a total of 67 pleiotropic genes and performed the functional term enrichment analysis. In particularly, 27 genes were identified to be pleiotropic in previous different types of studies, which were validated by our present study. Forty significant genes (16 genes were associated with one disease earlier, and 24 were novel) might be the novel pleiotropic candidate genes for seven autoimmune diseases. The improved detection not only yielded the shared genetic components but also provided better understanding for exploring the potential common biological pathogenesis of these major autoimmune diseases.

genetics↗

bioRxiv2019

Variation in assembly stoichiometry in non-metazoan homologs of the hub domain of Ca2+/Calmodulin-dependent protein kinase II

The multi-subunit Ca2+/calmodulin-dependent protein kinase II (CaMKII) holoenzyme plays a critical role in animal learning and memory. The kinase domain of CaMKII is connected by a flexible linker to a C-terminal hub domain that assembles into a 12- or 14-subunit scaffold that displays the kinase domains around it. Studies on CaMKII suggest that the stoichiometry and dynamic assembly/disassembly of hub oligomers may be important for CaMKII regulation. Although CaMKII is a metazoan protein, genes encoding predicted CaMKII-like hub domains, without associated kinase domains, are found in the genomes of some green plants and bacteria. We show that the hub domains encoded by three related green algae, Chlamydomonas reinhardtii, Volvox carteri f. nagarensis, and Gonium pectoral, assemble into 16-, 18-, and 20-subunit oligomers, as assayed by native protein mass spectrometry. These are the largest known CaMKII hub domain assemblies. A crystal structure of the hub domain from Chlamydomonas reinhardtii reveals an 18-subunit organization. We identified four intra-subunit hydrogen bonds in the core of the fold that are present in the Chlamydomonas hub domain, but not in metazoan hubs. When six point mutations designed to recapitulate these hydrogen bonds were introduced into the human CaMKII- hub domain, the mutant protein formed assemblies with 14 and 16 subunits, instead of the normal 12- and 14-subunit assemblies. Our results show that the stoichiometric balance of CaMKII hub assemblies can be shifted readily by small changes in sequence.

biochemistry↗

bioRxiv2019

Transcriptome analysis of the Molecular Mechanism underlying Immunity- and Reproduction trade-off in Locusta migratoria Infected by Micrococcus luteus

Immune response and reproductive success are two of the main energy-consuming processes in living organisms. However, it is unclear which process is prioritized when both are required. Therefore, the present study was designed to examine this question using one of the worlds most destructive agricultural pests, the migratory locust Locusta migratoria. Transcripts from the ovaries and fat bodies of newly emerged locusts were analyzed, using RNA-seq based transcriptome and qualitative real-time PCR, at 4 h and 6 d after being infected with the gram-positive bacteria Microcroccus luteus, and changes in the main biological pathways involved in reproduction and immunization were analyzed using bioinformatics. At 4 h after infection, 348 and 133 transcripts were up- and down-regulated, respectively, whereas 5699 and 44 transcripts were up- and down-regulated, respectively, at 6 d after infection. Meanwhile, KEGG analysis indicated that vital pathways related with immunity and reproduction, such as Insulin resistance, FoxO signaling, Lysosome, mTOR signaling, and Toll-like receptor signaling pathways were up-regulated. Among the differentially expressed genes, 22 and 17 were related to immunity and reproduction, respectively, and the expression levels of PPO1 and antimicrobial peptide defensin 3 were increased (log2FC = 5.93 and 6.75, respectively), whereas those of VgA and VgB were reduced (log2FC = -17.82 and -18.13, respectively). These results indicated that that locusts allocate energy and resources to maintain their own survival by increasing immune response when dealing with both immune and reproductive processes. The present study provides the first report of expression levels for genes related with reproduction and immunity in locusts, thereby providing a reference for future studies, as well as theoretical guidance for investigations of locust control.

animal behavior and cognition↗