Biology subjects

Zhao, J.

Publications and source records attributed to Zhao, J..

At least 415 records · Page 23Linked to original sources

bioRxiv2022

ABL1 Kinase plays an important role in spontaneous and chemotherapy-induced genomic instability in multiple myeloma

Genomic instability contributes to cancer progression and is at least partly due to dysregulated homologous recombination. Here, we show that an elevated level of ABL1 kinase overactivates the HR pathway and causes genomic instability in multiple myeloma (MM) cells. Inhibiting ABL1 with either shRNA or a pharmacological inhibitor (nilotinib) inhibits HR activity, reduces genomic instability, and slows MM cell growth. Moreover, inhibiting ABL1 rescues the HR dysregulation and genomic instability caused by melphalan, a chemotherapeutic agent used in MM treatment, and increases melphalans efficacy and cytotoxicity in vivo in a subcutaneous tumor model. In these tumors, nilotinib inhibits endogenous as well as melphalan-induced HR activity. These data demonstrate that inhibiting ABL1 using the clinically approved drug nilotinib reduces MM cell growth, promotes genome stability, increases the cytotoxicity of melphalan (and similar chemotherapeutic agents), and can potentially prevent or delay progression in MM patients.

cancer biology↗

bioRxiv2022

Preclinical evaluation of RQ3013, a broad-spectrum mRNA vaccine against SARS-CoV-2 variants

The global emergence of SARS-CoV-2 variants has led to increasing breakthrough infections in vaccinated populations, calling for an urgent need to develop more effective and broad-spectrum vaccines to combat COVID-19. Here we report the preclinical development of RQ3013, an mRNA vaccine candidate intended to bring broad protection against SARS-CoV-2 variants of concern (VOCs). RQ3013, which contains pseudouridine-modified mRNAs formulated in lipid nanoparticles, encodes the spike(S) protein harboring a combination of mutations responsible for immune evasion of VOCs. Here we characterized the expressed S immunogen and evaluated the immunogenicity, efficacy, and safety of RQ3013 in various animal models. RQ3013 elicited robust immune responses in mice, hamsters, and nonhuman primates (NHP). It can induce high titers of antibodies with broad cross-neutralizing ability against the Wild-type, B.1.1.7, B.1.351, B.1.617.2, and the omicron B.1.1.529 variants. In mice and NHP, two doses of RQ3013 protected the upper and lower respiratory tract against infection by SARS-CoV-2 and its variants. We also proved the safety of RQ3013 in NHP models. Our results provided key support for the evaluation of RQ3013 in clinical trials.

immunology↗

bioRxiv2022

Chemotherapy drugs induce different gut microbiota disorder pattern and NODs/RIP2/NF-κB signaling pathway activation that lead to different degrees of intestinal injury

5-Fluorouracil (5-FU), irinotecan (CPT-11), oxaliplatin (L-OHP) and calcium folinate (CF) are the widely used chemotherapy drugs to treat colorectal cancer. However, the use of chemotherapy is often accompanied by intestinal inflammation and gut microbiota disorder. Moreover, the change of gut microbiota may lead to destruction of the intestinal barrier, which contributes to the severity of intestinal injury. There was no detailed comparison of intestinal injury and gut microbiota disorder among 5-FU, CPT-11, L-OHP and CF, which is not benefit for the development of targeted detoxification therapy after chemotherapy. In this project, a model of chemotherapy-induced intestinal injury in tumor-bearing mice was established by intraperitoneal injection of chemotherapy drugs at a clinically equivalent dose. 16S rDNA sequencing was used to detect gut microbiota. We found that 5-FU, CPT-11 and L-OHP caused intestinal injury, inflammatory cytokine (IFN-{gamma}, TNF-, IL-1{beta}, and IL-6) secretion, and gut microbiota disorder. Importantly, we established a complex but clear network between the gut microbiota change pattern and intestinal damage degree induced by different chemotherapy drugs. L-OHP caused the most severe damage in intestine and disorder of gut microbiota, and showed considerable overlap of the microbiota change pattern with 5-FU and CPT-11. The phylogenetic investigation of communities by reconstruction of unobserved states, V1.0 (PICRUSt) analysis showed that the microbiota disorder pattern induced by 5-FU, CPT-11 and L-OHP was related to the NOD like signaling pathway. Therefore, we detected the protein expression of the NODs/RIP2/NF-{kappa}B signaling pathway and found that L-OHP activated that pathway highest. Furthermore, by RDA/CCA analysis, we found that Bifidobacterium, Akkermansia, Allobaculum, Catenibacterium, Mucispirillum, Turicibacter, Helicobacter, Proteus, Escherichia Shigella, Alloprevotealla, Vagococcus, Streptococcus and Candidatus Saccharimonas were highly correlated with the NODs/RIP2/NF-{kappa}B signaling pathway, and influenced by chemotherapy drugs. IMPORTANCEThe chemotherapy-induced intestinal injury limit drugs clinical use. Intestinal injury involves multiple signaling pathways and the disruption of microbiota. Our results suggest that the degree of intestinal injury caused by different drugs of the first-line colorectal chemotherapy regimen is related to the change pattern of microbiota. Moreover, the NODs/RIP2/NF-{kappa}B signaling pathway was activated in different degrees is also related to the change pattern of microbiota. We found L-OHP caused the most severe change of gut microbiota, and showed considerable overlap of the microbiota changes pattern with 5-FU and CPT-11. Here, we have established a network of different chemotherapy drugs, gut microbiota and NODs/RIP2/NF-{kappa}B signaling pathway, which may provide a new basis for further elucidating the mechanism and clinical treatment of intestinal injury caused by chemotherapy.

molecular biology↗

bioRxiv2022

Highly efficient healing of critical sized articular cartilage defect in situ using a chemically nucleoside-modified mRNA-enhanced cell therapy

Critical sized cartilage defects heal poorly and MSC-based therapies holds promise functional cartilage regeneration either used alone or in combination with growth factors. However, Recombinant protein growth factors were proven to have minimal benefits while to have adverse side effects and high cost. Nonviral mRNA delivery provides a promising, alternative approach to delivering therapeutic proteins within defect lesion for an extended period of time. Despite successful therapeutic outcome in bone and other vascularized tissues, the therapeutic application of mRNA in poorly vascularized tissues such as cartilage is still facing many challenges and rarely studied. We report here using chemically modified messenger RNA encoding TGF-{beta}3(TGF-{beta}3 cmRNA) to enhance the therapeutic efficacy of BMSCs to efficient repair of cartilage defect. Local administration of TGF-{beta}3 cmRNA enhanced BMSCs therapy restored critical-sized cartilage defects in situ in a rat model within 6 weeks with structural and molecular markers similar to its nature counterparts. In addition, the development of osteoarthritis caused by cartilage damage was prevented by this mRNA-enhanced BMSCs therapy evidenced by minimal late-stage OA pharmacological presentations. This novel mRNA enhanced-MSC technology extend the development of new therapeutic approaches for treating functional cartilage repair.

synthetic biology↗

bioRxiv2022

Apurinic/apyrimidinic nuclease 1 drives genomic evolution contributing to chemoresistance and tumorigenesis in solid tumor

Genomic instability fuels genomic alterations that befit cancer cells with necessary adaptations to keep proliferating and overcome the impact of host anti-tumor immunity and cytotoxic therapy. Since DNA breaks are required for genomic rearrangements to take place, we hypothesized that dysregulated nuclease activity mediates genomic instability in cancer. Using an integrated genomics protocol, we identified a four gene deoxyribonuclease signature correlating with genomic instability in six human cancers which included adenocarcinomas of esophagus (EAC), lung, prostate, stomach, pancreas and triple negative breast cancer. Functional screens confirmed the role of these nucleases in genomic instability and growth of cancer cells. Apurinic/apyrimidinic nuclease 1 (APE1), identified as top nuclease in functional screen, was further investigated in five cell lines representing four solid tumors (EAC, lung, prostate and breast cancer). We demonstrate that chemical as well as transgenic suppression of APE1 impaired growth/colony formation and increased cytotoxicity of chemotherapeutic agent, whereas inhibited spontaneous as well as chemotherapy-induced DNA breaks, homologous recombination (HR) activity and genomic instability in all cancer cell types tested. Treatment with APE1 inhibitor also impaired tumor growth and significantly increased efficacy of a chemotherapeutic agent in a subcutaneous mouse model of EAC. Overexpression of APE1 in normal esophageal epithelial cells increased DNA breaks and HR activity, leading to massive mutational, copy number as well as karyotypic instability. Evaluation of by whole genome sequencing identified HR as the top mutational process activated by APE1. Normal cells overexpressing APE1 grew as tumors in mice and tumors removed from mice displayed additional karyotypic changes, providing evidence of genomic instability in vivo. Overall, our data demonstrate that elevated APE1 dysregulates HR activity, G2/M checkpoint and genome stability thus contributing to tumorigenesis and chemoresistance in cancer. Therefore, inhibitors of APE1 have potential to inhibit growth and increase cytotoxicity of chemotherapeutic agents while minimizing spontaneous as well as chemotherapy-induced genomic damage and instability in EAC and other solid tumors.

cancer biology↗

bioRxiv2022

Protein kinase D promotes prostate cancer cell bone metastasis by positively regulating Runx2 in a MEK/ERK1/2-dependent manner

Most cancer patients die because of tumor metastasis not due to tumors at the primary site. Prostate tumors in advance stages frequently metastasize to the bone, which is the main cause of death for the disease. The family of protein kinase D (PKD) has been implicated in prostate cancer development, however, its role in prostate cancer metastasis has not been investigated. In this study, we examined the contribution of PKD to the metastatic potential of prostate cancer cells and the impact of PKD inhibition on prostate cancer bone metastasis in vivo. Our data showed that depletion of PKDs by siRNA or inhibition of PKD by an inhibitor CRT0066101 in a highly invasive prostate cancer PC3-ML cells potently inhibited colony formation and cell migration. Furthermore, depletion or inhibition of PKD significantly blocked invasion of PC3-ML cells and suppressed expression of genes related to bone metastasis. The reduced invasive activity resulted from PKD depletion was in part mediated through the transcription factor Runx2 as its silencing decreased PKD-mediated metastatic gene expression. Mechanistically, our data indicate that PKD modulated Runx2 target gene expression through the MEK/ERK1/2 signaling axis. Additionally, we examined whether PKD inhibitor CRT0066101 could prevent prostate cancer bone metastasis in a mouse model of metastasis, where intracardiac injection of PC3-ML cells led to metastasis of cells to the bone. We found that CRT0066101 potently decreased the frequency of micrometastases in mouse bone. These results indicate that PKDs play an important role in bone metastasis of prostate cancer cells and its inhibition may be beneficial for treatment of advanced stages of cancer.

cancer biology↗

bioRxiv2022

CRISPR activation rescues abnormalities in SCN2A haploinsufficiency-associated autism spectrum disorder

The majority of autism spectrum disorder (ASD) risk genes are associated with ASD due to haploinsufficiency, where only one gene copy is functional. Here, using SCN2A haploinsufficiency, a major risk factor for ASD, we show that increasing the expression of the existing functional SCN2A allele with CRISPR activation (CRISPRa) can provide a viable therapeutic approach. We first demonstrate therapeutic potential by showing that restoring Scn2a expression in adolescent heterozygous Scn2a conditional knock-in mice rescues electrophysiological deficits associated with Scn2a haploinsufficiency. Next, using an rAAV-CRISPRa based treatment, we restore electrophysiological deficits in both Scn2a heterozygous mice and human stem-cell-derived neurons. Our results provide a novel therapeutic approach for numerous ASD-associated genes and demonstrate that rescue of Scn2a haploinsufficiency, even at adolescent stages, can ameliorate neurodevelopmental phenotypes.

neuroscience↗

bioRxiv2022

Phase-separated TRB-PRC2 aggregates contribute to Polycomb silencing in plants

Local accumulation of Polycomb Repressive Complex 2 (PRC2) is essential to gene silencing. Liquid-liquid phase separation (LLPS) mechanism is emerging as a paradigm to concentrate transcriptional machinery for effective gene regulation. Here, we elucidate that a rice single Myb transcription factor TRBF2 forms phase-separated droplets, which aggregate with PRC2 through direct protein interaction. Furthermore, TRB1, the closest homolog of TRBF2 in Arabidopsis, also forms phase-separated aggregates with PRC2. Mutants of TRBF2 and PRC2 component CLF display similar developmental defects, share common differentially expressed genes, and reduced H3K27me3 chromatin regions. Chromatin immunoprecipitation analysis supports that TRBF2 concentrates PRC2 at target loci to promote H3K27me3 deposition. Therefore, we propose that the aggregation of the plant-specific TRBs with PRC2 by the LLPS mechanism contributes to Polycomb silencing. One-Sentence SummaryThe phase-separated plant-specific single Myb transcription factor aggregates with PRC2 to facilitate Polycomb silencing.

plant biology↗

bioRxiv2022

Single cell Transcriptome and T cell Repertoire Mapping of the Mechanistic Signatures and T cell Trajectories Contributing to Vascular and Dermal Manifestations of Behcet Disease

Behcets disease (BD) is a form of vasculitis characterized by complex multi-organ manifestations that may frequently recur and induce major tissue damage. Although genetic association studies have identified a number of risk factors, the etiology of BD and its tissue manifestations remains unknown, and the landscape of immune responses in BD is opaque, particularly in terms of inflammatory recurrence. In this study, we mapped the transcriptomes of the immune cell compartment in BD at single-cell resolution, sampling both circulation and affected skin in order to chart the immune interplay driving pathogenesis. Through comprehensive expression and communication analysis of the twenty major cell types identified, we observe striking mechanistic differences in immune response between BD skin lesions and peripheral circulation involving TNF signaling and T cell migration. Through integrated TCR sequencing, we further discover a pattern of clonal sharing between circulating and skin CD8+T cell populations along a trajectory defined by the acquisition of tissue-residential properties. In addition, we also identify a population of expanded CD4+ Tregs with the propensity to produce IL-32. Instead of suppressing effector T cell proliferation and function, IL-32 triggers increased expression of CD97, and may thus encourage prolonged local T cell activity in the skin. Collectively, our data serve to advance understandings of contributions of varying immune cell types to BD pathogenesis in the vasculature and skin, as well as the lifecycle patterns of T cells clones in this context. These data may also assist in further investigations of the mechanisms contributing to Treg dysfunction in systemic autoimmunity, while generating a conceptual model of T cell function contributing to BD recurrence.

immunology↗

bioRxiv2022

Rapidly evolving genes underlie Aedes aegypti mosquito reproductive resilience during drought

Female Aedes aegypti mosquitoes impose a severe global public health burden as vectors of multiple viral pathogens. Under optimal environmental conditions, Aedes aegypti females have access to human hosts that provide blood proteins for egg development, conspecific males that provide sperm for fertilization, and freshwater that serves as an egg-laying substrate suitable for offspring survival. As global temperatures rise, Aedes aegypti females are faced with climate challenges like intense droughts and intermittent precipitation, which create unpredictable, suboptimal conditions for egg-laying. Here we show that under drought-like conditions simulated in the laboratory, females retain mature eggs in their ovaries for extended periods, while maintaining the viability of these eggs until they can be laid in freshwater. Using transcriptomic and proteomic profiling of Aedes aegypti ovaries, we identify two previously uncharacterized genes named tweedledee and tweedledum, each encoding a small, secreted protein that both show ovary-enriched, temporally-restricted expression during egg retention. These genes are mosquito-specific, linked within a syntenic locus, and rapidly evolving under positive selection, raising the possibility that they serve an adaptive function. CRISPR-Cas9 deletion of both tweedledee and tweedledum demonstrates that they are specifically required for extended retention of viable eggs. These results highlight an elegant example of taxon-restricted genes at the heart of an important adaptation that equips Aedes aegypti females with "insurance" to flexibly extend their reproductive schedule without losing reproductive capacity, thus allowing this species to exploit unpredictable habitats in a changing world.

neuroscience↗

bioRxiv2022

Plant autophagosomes mature into amphisomes prior to their delivery to the central vacuole

Autophagosomes are double-membraned vesicles that traffic harmful or unwanted cellular macromolecules to the vacuole for recycling. Although autophagosome biogenesis has been extensively studied, mechanisms of autophagosome maturation, i.e., delivery and fusion with the vacuole, remain largely unknown in plants. Here, we have identified an autophagy adaptor, CFS1, that directly interacts with the autophagosome marker ATG8 and localizes on both membranes of the autophagosome. Autophagosomes form normally in Arabidopsis thaliana cfs1 mutants, but their delivery to the vacuole is disrupted. CFS1s function is evolutionarily conserved in plants as it also localizes to the autophagosomes and plays a role in autophagic flux in the liverwort Marchantia polymorpha. CFS1 regulates autophagic flux by connecting autophagosomes with the ESCRT-I component VPS23, leading to the formation of amphisomes. Disrupting the VPS23-CFS1 interaction affects autophagic flux and renders plants sensitive to starvation stress. Altogether, our results reveal a deeply conserved mechanism of vacuolar delivery in plants that is mediated by amphisomes.

plant biology↗

bioRxiv2022

A Self-attention Graph Convolutional Network for Precision Multi-tumour Early Diagnostics with DNA Methylation Data

DNA methylation data-based precision tumor early diagnostics is emerging as state of the art technology, which could capture the signals of cancer occurrence 3[~]5 years in advance and clinically more homogenous groups. At present, the sensitivity of early detection for many tumors is about 30%, which needs to be significantly improved. Nevertheless, based on the genome wide DNA methylation information, one could comprehensively characterize the entire molecular genetic landscape of the tumors and subtle differences among various tumors. With the accumulation of DNA methylation data, we need to develop high-performance methods that can model and consider more unbiased information. According to the above analysis, we have designed a self-attention graph convolutional network to automatically learn key methylation sites in a data-driven way for precision multi-tumor early diagnostics. Based on the selected methylation sites, we further trained a multi-class classification support vector machine. Large amount experiments have been conducted to investigate the performance of the computational pipeline. Experimental results demonstrated the effectiveness of the selected key methylation sites which are highly relevant for blood diagnosis.

bioinformatics↗

bioRxiv2022

rG4-seq 2.0: enhanced transcriptome-wide RNA G-quadruplex structure sequencing for low RNA input samples

RNA G-quadruplexes (rG4s) are non-canonical structural motifs that have diverse functional and regulatory roles such as transcription termination, alternative splicing, mRNA localization and stabilization and translational process. We recently developed RNA G-quadruplex structure sequencing (rG4-seq) technique and discovered many rG4s in both eukaryotic and prokaryotic transcriptomes. However, rG4-seq suffers from complicated gel purification step and limited PCR product yield and thus requires a high RNA input amount, limiting its applications for physiologically or clinically relevant studies. In this study, we have developed rG4-seq 2.0 by introducing a new ssDNA adapter containing deoxyuridine in the library preparation to enhance the library quality with no gel purification step, less PCR amplification cycles and higher yield of PCR products. We demonstrate that rG4-seq 2.0 produced high quality cDNA libraries that supported reliable and reproducible rG4 identification at varying RNA inputs (as low as 10 ng amount of RNA). rG4-seq 2.0 also improved the rG4-seq calling outcome and nucleotide bias in rG4 detection persistent in rG4-seq 1.0. Our new method can improve the identification and study of rG4s in low abundance transcripts, and our findings can provide insights to optimize cDNA library preparation in other related methods.

genomics↗

bioRxiv2022

Transcription Factor-Centric Approach to Identify Non-Recurring Putative Regulatory Drivers in Cancer

Recent efforts to sequence the genomes of thousands of matched normal-tumor samples have led to the identification of millions of somatic mutations, the majority of which are non-coding. Most of these mutations are believed to be passengers, but a small number of non-coding mutations could contribute to tumor initiation or progression, e.g. by leading to dysregulation of gene expression. Efforts to identify putative regulatory drivers rely primarily on information about the recurrence of mutations across tumor samples. However, in regulatory regions of the genome, individual mutations are rarely seen in more than one donor. Instead of using recurrence information, here we present a method to identify putative regulatory driver mutations based on the magnitude of their effects on transcription factor-DNA binding. For each gene, we integrate the effects of mutations across all its regulatory regions, and we ask whether these effects are larger than expected by chance, given the mutation spectra observed in regulatory DNA in the cohort of interest. We applied our approach to analyze mutations in a liver cancer data set with ample somatic mutation and gene expression data available. By combining the effects of mutations across all regulatory regions of each gene, we identified dozens of genes whose regulation in tumor cells is likely to be significantly perturbed by non-coding mutations. Overall, our results show that focusing on the functional effects of non-coding mutations, rather than their recurrence, has the potential to identify putative regulatory drivers and the genes they dysregulate in tumor cells.

genomics↗

bioRxiv2022

Combating the SARS-CoV-2 Omicron variant with non-Omicron neutralizing antibodies

The highly mutated and transmissible Omicron variant has provoked serious concerns over its decreased sensitivity to the current coronavirus disease 2019 (COVID-19) vaccines and evasion from most anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) neutralizing antibodies (NAbs). In this study, we explored the possibility of combatting the Omicron variant by constructing bispecific antibodies based on non-Omicron NAbs. We engineered ten IgG-like bispecific antibodies with non-Omicron NAbs named GW01, 16L9, 4L12, and REGN10987 by fusing the single-chain variable fragments (scFvs) of two antibodies through a linker and then connecting them to the Fc region of IgG1. Surprisingly, eight out of ten bispecific antibodies showed high binding affinity to the Omicron receptor-binding domain (RBD) and exhibited extreme breadth and potency against pseudotyped SARS-CoV-2 variants of concern (VOCs) including Omicron, as well as authentic Omicron(+R346K) variants. Six bispecific antibodies containing the cross-NAb GW01 neutralized Omicron variant and retained their abilities to neutralize other sarbecoviruses. Bispecific antibodies inhibited Omicron infection by binding to the ACE2 binding site. A cryo-electron microscopy (cryo-EM) structure study of the representative bispecific antibody FD01 in complex with the Omicron spike (S) revealed 5 distinct trimers and one unique bi-trimer conformation. The structure and mapping analyses of 34 Omicron S variant single mutants elucidated that two scFvs of the bispecific antibody synergistically induced the RBD-down conformation into 3-RBD-up conformation, enlarged the interface area, accommodated the S371L mutation, improved the affinity between a single IgG and the Omicron RBD, and hindered ACE2 binding by forming bi-trimer conformation. Our study offers an important foundation for anti-Omicron NAb design. Engineering bispecific antibodies based on non-Omicron NAbs may provide an efficient solution to combat the Omicron variant.

microbiology↗

bioRxiv2022

Phenotypic dissection of epithelial lineages and therapeutic manipulation of differentiation programs in human Adenoid Cystic Carcinomas

Adenoid Cystic Carcinoma (ACC) is a rare and aggressive form of salivary gland cancer, characterized by the co-existence within tumor tissues of two distinct populations of malignant cells, phenotypically similar to the myoepithelial and ductal lineages of normal salivary glands. Using a novel computational approach for single-cell RNA-seq analysis, we identified two cell-surface markers (CD49f, KIT) that enable the differential purification of myoepithelial-like (CD49fhigh/KITneg) and ductal-like (CD49flow/KIT+) cells from ACC patient derived xenografts (PDX). Using prospective xeno-transplantation experiments, we demonstrate that myoepithelial-like cells act as progenitors of ductal-like cells. Using three-dimensional (3D) organoid cultures, we demonstrate that agonists of retinoic acid (RA) signaling promote differentiation of myoepithelial-like cells into ductal-like cells, while inhibitors of RA signaling selectively kill ductal-like cells. Finally, we demonstrate that BMS493, an inverse agonist of RA signaling, can be successfully leveraged for the in vivo treatment of human ACCs.

cancer biology↗

bioRxiv2022

Expansion and Adaptive Evolution of the mTERF Gene Family in Plants

Mitochondrial transcription termination factor (mTERF) genes are encoded in the nucleus and bind to nucleic acids to regulate the replication, transcription and translation of mitochondrial genomes. Plants possess a large family of mTERF genes that play important roles in regulating organellar gene expression and stress response. However, their origin and expansion in land plants has not been examined. Here, we conducted a comprehensive molecular evolution analysis of 611 mTERF genes identified in 18 plant species, including algae, moss, fern, gymnosperm and flowering plants. Higher plants have more mTERF genes compared to lower plants, forming a huge higher plant-specific clade (M-class mTERF genes). M-class mTERF genes occur in clusters, suggesting that tandem duplication contributed to their expansion. Compared to other mTERF genes, M-class mTERF genes have undergone rapid evolution, and several significant positively selected sites were located in nucleic acid-binding sites. The strong correlation between the number of M-class mTERF genes and corresponding mitochondrial genome variation suggests that the rapid evolution of M-class mTERF genes might account for the changes in the complex machinery for expression regulation of plant mitochondrial genomes, providing molecular evidence for the host-parasite interaction hypothesis between the nucleus and mitochondria.

plant biology↗

bioRxiv2021

Effects of homoeologous exchange on gene expression and alternative splicing in a newly formed allotetraploid wheat

Homoeologous exchange (HE) is a major mechanism generating post-polyploidization genetic variation with important evolutionary consequences. However, the direct impacts of HE without entangling with additional evolutionary forces on gene expression remains to be fully understood. Here, we analyzed high-throughput RNA-seq data of young leaves from individuals of a synthetic allotetraploid wheat (AADD), which contain variable numbers of HEs. We aimed to investigate if and to which extent HE directly impacts gene expression and alternative splicing (AS). We found that HE impacts expression of genes located within HE regions primarily via cis-acting dosage effect, which led to significant changes in the total expression of homoeolog pairs, especially for homoeologs whose original expression was biased. In parallel, HE influences expression of a large amount of genes residing in non-HE regions by trans-regulation leading to convergent expression of homoeolog pairs. Intriguingly, when taking into account of the original relative homoeolog expression states, homoeolog pairs under trans-effect are more prone to showing convergent response to HE whereas those under cis-effect trended to show subgenome-specific expression. Moreover, HE induced quantitative, largely individual-specific, changes of alternative splicing (AS) events. Like homoeologs expression, homoeo-AS events which related to trans effect were more responsive to HE. HE therefore exerts multifaceted immediate effects on gene expression and, to a less extent, also transcript diversity in nascent allopolyploidy.

plant biology↗