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Tang, J.

Publications and source records attributed to Tang, J..

At least 181 records · Page 10Linked to original sources

A Chitin-Binding Protein Ultra-highly expressed in the Outer Fold of Mantle is Related to Shell Colour in Pacific Oyster Crassostrea gigas

Molluscs constitute the second largest phylum of animals in the world, and shell colour and stripes are one of their most important phenotypic characteristics. Studies on the mechanism of shell pigmentation help understand the evolutionary and ecological significance of shell colour and serve as the basis for shell colour breeding. In this study, a matched-pair design was used in comparing the black- and white-striped mantles of the same oyster. The result showed that the stripes of shell surface are corresponding to the stripes of the mantle edge. Transcriptomic analysis identified an uncharacterized protein gene (we named it as Crassostrea gigas chitin-binding protein, CgCBP) highly expressed in the black mantles. Three folds (inner fold, middle fold and outer fold) were found on the mantle edge of oyster, but only the outer fold has the same colour as the shell. Transcriptomic comparison indicated that the three folds of the mantle edge are functionally differentiated, and the CgCBP gene is ultra-highly expressed only in the outer fold. We obtained new black and white shell periostraca from the shell notching experiment and found their structural differences by scanning electron microscope. Chitin was successfully extracted and identified from the shell periostraca. Proteomic analysis revealed differences in protein composition between the two shell periostraca. Particularly, the black shell periostraca have more proteins related to melanin biosynthesis and chitin binding compared with the white ones, and melanin particles were observed in the black mantle edge using transmission electron microscope. Magnetic bead binding and Western blot experiments showed that the CgCBP protein can specifically bind to chitin and in vivo RNAi screening indicated that CgCBP knockdown can change the structure of the shell periostracum and reduce its pigmentation. All these results suggest that the outer fold of mantle may have more important roles in shell pigmentation, shell periostracum structure is functionally correlated with shell pigmentation, and the CgCBP gene ultra-highly expressed in the outer fold may influence shell pigmentation by affecting its periostracum structure.

physiology↗

WNT5A-RHOA axis is a new vulnerability in small-cell lung cancer

WNT signaling presents an attractive target for cancer therapy due to its widespread oncogenic role. However, the molecular players involved in WNT signaling and the impact of their perturbation remain unknown for numerous recalcitrant cancers including small-cell lung cancer (SCLC). Here we show that beta-catenin, a master mediator of canonical WNT signaling, is not required for SCLC development in genetically engineered mouse models (GEMMs) and its transcriptional program is largely silenced during tumor development. Instead, inactivation of p130 in SCLC cells induces expression of WNT5A, a ligand for beta-catenin-independent WNT pathways. WNT5A is both sufficient and required for SCLC development and cell proliferation and selectively induces Rhoa transcription and activates RHOA protein to drive SCLC. Rhoa knockout suppresses SCLC development in vivo, and chemical perturbation of RHOA selectively inhibits SCLC cell proliferation. These findings suggest a novel requirement for the WNT5A-RHOA axis in SCLC that is distinct from other noncanonical WNT pathways. This vulnerability of p130-WNT5A-RHOA pathway provides critical insight into the development of novel therapeutic strategies for the recalcitrant cancer, as well as the stratification of patients who may benefit from them. This study also sheds new light on the heterogeneity of WNT signaling and the molecular determinants of its cell-type specificity.

cancer biology↗

Targeting N-Myc in Neuroblastoma with Selective Aurora Kinase A Degraders

Summary ParagraphMYCN amplification is the most frequent genetic driver in high-risk neuroblastoma (NB) and strongly associated with poor prognosis.1,2 The N-Myc transcription factor, which is encoded by MYCN, is a mechanistically validated, yet challenging target for NB therapy development.3,4 In normal neuronal progenitors, N-Myc undergoes rapid degradation, while in MYCN-amplified NB cells, Aurora kinase A (Aurora-A) binds to and stabilizes N-Myc, resulting in elevated protein levels.5,6 Allosteric Aurora-A inhibitors that displace N-Myc from binding can promote N-Myc degradation, but with limited efficacy.7-10 Here, we report a chemical approach to decrease N-Myc levels through the targeted protein degradation of Aurora-A. A first-in-class Aurora-A/N-Myc degrader, HLB-0532259 (compound 4), was developed from a novel Aurora-A-binding ligand that engages the Aurora-A/N-Myc complex. HLB-0532259 promotes the degradation of both Aurora-A and N-Myc with nanomolar potency and excellent selectivity and surpasses the cellular efficacy of established allosteric Aurora-A inhibitors. HLB-0532259 exhibits favorable pharmacokinetics properties and elicits tumor reduction in murine xenograft NB models. More broadly, this study delineates a novel strategy for targeting "undruggable" proteins that are reliant on accessory proteins for cellular stabilization.

cancer biology↗

Photoperiod modulates mu-opioid receptor availability in brown adipose tissue

Photoperiod drives metabolic activity of brown adipose tissue (BAT), and affects food intake and weight gain in mammals. Sympathetic innervation in BAT controls thermogenesis and facilitates physiological adaption to seasons, but the exact mechanism remains elusive. Previous studies show that the central opioid signaling tunes BAT heating and the brain muopioid receptor (MOR) levels have seasonal patterns. It is hence intriguing to know whether the peripheral MOR signaling shows seasonal variation. Here, we examined the effect of photoperiod on BAT MOR availability using [11C]carfentanil positron emission topography (PET). Adult rats (n = 9) were repeatedly imaged under changing photoperiods which simulates the local seasons. Long photoperiod downregulated MOR availability in BAT, while MOR availability in the muscles was unaffected. We confirmed the expression of MOR in BAT and muscle using immunofluorescence imaging. We conclude that photoperiod causally affects MOR availability in BAT, and sympathetic innervation of BAT may influence thermogenesis via the peripheral MOR system. Significance of the studyPhotoperiod impacts the metabolic activity of brown adipose tissue (BAT) with the exact mechanism still unclear. The current study shows that photoperiod causally affects the mu-opioid receptor (MOR) levels in BAT, with longer photoperiod leading to lower MOR availability. This possibly indicates down-regulated innervation during bright seasons. Immunofluorescence staining data reveal expression of MOR in both brain and peripheral tissues, drawing attention to the under-investigated peripheral MOR system. Also, the study highlights the feasibility of [11C]carfentanil PET in studying the peripheral MOR signaling.

molecular biology↗

Human endogenous retrovirus activation contributes to biliary atresia pathogenesis through re-education of resident macrophages

Biliary atresia (BA) is a life-threatening neonatal fibro-inflammatory disease characterized by hepatic fibrosis, cirrhosis, and end-stage liver failure. BA is also the most frequent indication of pediatric liver transplantation globally. Despite the devastating condition of BA, the pathogenesis mechanism is unknown. Viral infection has been suggested to be associated with BA, but definitive evidence to support this hypothesis is not available. To elucidate the virus-associated pathogenesis mechanism of BA and to understand the immune ecosystem, we performed single-cell transcriptomic and proteomic profiling of BA livers. We detected human endogenous virus (HERV) in infants with BA and their parents. HERV was mainly found in FOLR2+ resident macrophages, T cells, and NK cells. In addition, HERV activation re-educated the fetal-derived FOLR2+ resident macrophages, and reactive oxygen species scavenging neutrophil recruitment was impaired in patients with BA and HERV+, due to FOLR2+ resident macrophage re-education. Furthermore, we showed depletion of FOLR2+ resident macrophage and N-acetylcysteine treatment could rescue the liver damage in BA. Overall, our study revealed the HERV-associated immunopathology mechanism of BA. These results contribute to potential diagnosis and immunotherapy strategies for BA.

pathology↗

Generating Functional Cells Through Enhanced Interspecies Chimerism with Human Pluripotent Stem Cells

Obtaining functional human cells through interspecies chimerism with human pluripotent stem cells (hPSCs) remains unsuccessful due to its extreamly low efficiency. Here, we show that hPSCs failed to differentiate and contribute teratoma in presence of mouse PSCs (mPSCs). While, MYCN, a pro-growth factor dramatically promotes hPSC contribution in teratoma co-formation by hPSCs/mPSCs. MYCN combined with BCL2 (M/B) greatly enhanced conventional hPSCs to integrate into preimplantation embryos of different species, such as mice, rabbits and pigs and substrantially contributed to mouse post-implantation chimera in embryonic and extra-embyonic tissues. Strikingly, M/B-hPSCs injected into preimplantation Flk-1+/- mouse embryos show further enhanced chimerism that allows obtaining live human CD34+ blood progenitor cells from chimeras through cell sorting. The chimera derived human CD34+ cells further gave rise to various subtype blood cells in typical colony forming unit(CFU) assay. Thus, we proof the concept to obtain functional human cells through enchanced interspecies chimerism with hPSCs.

cell biology↗

LCK-14-3-3ζ-TRPM8 axis for regulating TRPM8 function/assembly promotes pancreatic cancer malignancy

The transient receptor potential melastatin 8 (TRPM8), function as a Ca2+-permeable channel in the plasma membrane (PM). Dysfunction of TRPM8 is associated with human pancreatic cancer and several other diseases in clinical patients, but with unclear underlying mechanisms. Here, we found lymphocyte-specific protein tyrosine kinase (LCK) directly interacts with TRPM8 and potentiates TRPM8 phosphorylation at Y1022. LCK positively regulated channel function characterized by increased TRPM8 currents densities through enhancing TRPM8 multimerization. Furthermore, 14-3-3{zeta} interacted with TRPM8 and positively modulated channel multimerization. LCK significantly enhanced the binding of 14-3-3{zeta} and TRPM8, whereas mutant TRPM8-Y1022F impaired TRPM8 multimerization and the binding of TRPM8 and 14-3-3{zeta}. Knockdown of 14-3-3{zeta} impaired the regulation of LCK on TRPM8 multimerization. Additionally, TRPM8 phosphotyrosine at Y1022 feedback regulated LCK activity by inhibition of Tyr505 phosphorylation and modulation of LCK ubiquitination. Finally, we revealed the importance of TRPM8 phosphorylation at Y1022 in the proliferation, migration and tumorigenesis of pancreatic cancer cells. Our findings demonstrate that LCK-14-3-3{zeta}-TRPM8 axis for regulating TRPM8 assembly, channel function, LCK activity and providing potential therapeutic targets for pancreatic cancer.

cell biology↗

Breadth of SARS-CoV-2 Neutralization and Protection Induced by a Nanoparticle Vaccine

Coronavirus vaccines that are highly effective against SARS-CoV-2 variants are needed to control the current pandemic. We previously reported a receptor-binding domain (RBD) sortase A-conjugated ferritin nanoparticle (RBD-scNP) vaccine that induced neutralizing antibodies against SARS-CoV-2 and pre-emergent sarbecoviruses and protected monkeys from SARS-CoV-2 WA-1 infection. Here, we demonstrate SARS-CoV-2 RBD-scNP immunization induces potent neutralizing antibodies in non-human primates (NHPs) against all eight SARS-CoV-2 variants tested including the Beta, Delta, and Omicron variants. The Omicron variant was neutralized by RBD-scNP-induced serum antibodies with a mean of 10.6-fold reduction of ID50 titers compared to SARS-CoV-2 D614G. Immunization with RBD-scNPs protected NHPs from SARS-CoV-2 WA-1, Beta, and Delta variant challenge, and protected mice from challenges of SARS-CoV-2 Beta variant and two other heterologous sarbecoviruses. These results demonstrate the ability of RBD-scNPs to induce broad neutralization of SARS-CoV-2 variants and to protect NHPs and mice from multiple different SARS-related viruses. Such a vaccine could provide the needed immunity to slow the spread of and reduce disease caused by SARS-CoV-2 variants such as Delta and Omicron.

immunology↗

Diet outweighs genetics in shaping gut microbiomes in Asian honeybee

BackgroundThe gut microbiome is a crucial element that facilitates a hosts adaptation to a changing environment. Host-specificity often coincides with distinctions in gut microbes, suggesting a co-evolution of the holobionts. However, it is unclear how gut microbiota shared by a common host ancestor would co-diversify with hosts and eventually become distinct among sister hosts. In this context, understanding the evolutionary pathway of gut microbiomes of the same host species could provide insight on how holobionts co-adapt along environmental gradients. Specifically, we ask which factor, nature or nurture, i.e., genetics or diets, contributes more to the shaping of gut microbiome, along with host diversification and range expansion. ResultsWe compared and analyzed the gut microbiomes of 99 Asian honeybees, Apis cerana, from genetically diverged populations covering 13 provinces across China. Bacterial composition varied significantly across populations at phylotype, sequence-discrete population (SDP), and strain levels, but with extensive overlaps, indicating the diversity of microbial community among A. cerana populations is driven by nestedness. Taken together, genetics exhibited tangential impacts, while pollen diets were significantly correlated with both the composition and function of gut microbiome. Core bacteria, Gilliamella and Lactobacillus Firm-5, showed antagonistic turnovers and contributed to the enrichment in carbohydrate transport and metabolism. By feeding and inoculation bioassays, we confirmed that the variations in pollen polysaccharide composition contributed to the trade-off of these core bacteria. ConclusionsProgressive change, i.e., nestedness, is the foundation of gut microbiome evolution in the Asian honeybee. Such a transition during the co-diversification of gut microbiomes is shaped primarily by environmental factors, diets in general, pollen polysaccharide in particular.

microbiology↗

NIMAA: an R/CRAN package to accomplish NomInal data Mining AnAlysis

SummaryNominal data is data that has been "labeled" and can be designated into a number of non-overlapping unordered groups. The analysis of this type of data is often trivial because it is not feasible to conduct extensive numerical methods on this type of data. Graphs or networks, on the other hand, are comprised of sets of nodes and edges that can also be considered as nominal variables. By integrating graph theory and data mining approaches, we offer the R package NIMAA to define a nominal data-mining pipeline to explore more information. Using nominal variables in a dataset, NIMAA provides functions for constructing weighted and unweighted bipartite graphs, analysing the similarity of labels in nominal variables, clustering labels or categories to super-labels, validating clustering results, predicting bipartite edges by missing weight imputation, and providing a variety of visualization tools. Here, we also indicated the application of nominal data mining in a biological dataset with well-riched nominal variables. AvailabilityNIMAAs official release and the beta update are available on CRAN and Github, respectively. URLs: https://CRAN.R-project.org/package=NIMAA and https://github.com/jafarilab/NIMAA Contactmohieddin.jafari@helsinki.fi; jing.tang@helisnki.fi ContributionsMJ conceived the study and developed the models, MJ and CC adopted and implemented the methods, MM improved the methods, JT provided the funding, MJ, CC, MM and JT wrote the paper.

bioinformatics↗

Wireless closed-loop smart bandage for chronic wound management and accelerated tissue regeneration

Chronic non-healing wounds represent a major source of morbidity for patients and a significant economic burden. Current wound care treatments are generally passive and are unable to adapt to changes in the wound environment in real time. By integrating multimodal sensors and adding stimulators in a bandage, real-time physiological monitoring is possible and provides an opportunity for active intervention into the complex wound environment. Here, we develop a battery-free flexible bioelectronic system consisting of wirelessly powered, closed-loop sensing and stimulation circuits with tissue-interfacing tough conducting hydrogel electrodes for robust signal transduction, on-demand adhesion, and detachment. Using multiple pre-clinical models, we demonstrate the capability of our wound care system to continuously monitor skin impedance and temperature, to trigger directional electrical stimulation. The accelerated wound closure was confirmed to be due to the activation of pro-regenerative genes linked to accelerated wound closure, increased neovascularization, and enhanced dermal recovery.

bioengineering↗

TACAN is a novel regulator of PKD2

Autosomal dominant polycystic kidney disease (ADPKD) is caused by mutations in membrane receptor PKD1 or cation channel PKD2. TACAN (also named TMEM120A), recently reported as an ion channel in neuron cells for mechano and pain sensing, is also distributed in diverse non-neuronal tissues such as kidney, heart and intestine, suggesting its involvement in other functions. In this study, we found that TACAN is in complex with PKD2 in native renal cell lines. Using the two-electrode voltage clamp in Xenopus oocytes we found that TACAN inhibited the channel activity of PKD2 gain-of-function mutant F604P. The first and last transmembrane domains of TACAN were found to interact with the PKD2 C-and N-terminal portions, respectively. We showed that the TACAN N-terminus acted as a blocking peptide and that TACAN inhibits the PKD2 function through the PKD2/TACAN binding. By patch clamping in mammalian cells, we found that TACAN inhibits both the single channel conductance and open probability of PKD2 and mutant F604P. PKD2 co-expressed with TACAN, but not PKD2 alone, exhibited pressure sensitivity. Furthermore, we also found that TACAN aggravates PKD2-dependent tail curvature and pronephric cysts in larval zebrafish, in support of the in vitro inhibitory effects of TACAN. In summary, this study revealed that TACAN acts as a PKD2 inhibitor and mediates mechano sensitivity of the PKD2/TACAN channel complex.

physiology↗

Evaluation of the effects of nicotine on the friction of the articular cartilage and the reversion of the estrogen in vitro

BackgroundOsteoarthritis is a severe disease for menopausal women, especially for those who exposed in the smoking and second hand-smoking. This study investigated the effect of the nicotine and estrogen on the articular cartilage. MethodsThe articular cartilages were treated by nicotine and estrogen in vitro. Then the frictional properties and morphology on the surface were investigated using atomic force microscope. Proteoglycan 4(PRG4), as the key boundary lubricant of articular cartilage was characterized. ResultsNicotine down-regulates the friction coefficient and secretion of PRG4 significantly and then the estrogen increase them again. The adhesion forces also showed the same trend due to the content of anti-adhesive PRG4. DiscussionThis study demonstrated that the present concentration nicotine has a negative effect on the articular cartilage and the estrogen has a better protecting effect. This may provide a potential guide for OA prevention and treatment.

biophysics↗

Combinatorial mRNA vaccination enhances protection against SARS-CoV-2 delta variant

Emergence of SARS-CoV-2 variants of concern (VOC), including the highly transmissible delta strain, has posed challenges to current COVID-19 vaccines that principally target the viral spike protein (S). Here, we report a nucleoside-modified mRNA vaccine that expresses the more conserved viral nucleoprotein (mRNA-N). We show that mRNA-N alone was able to induce a modest but significant control of SARS-CoV-2 in mice and hamsters. Critically, by combining mRNA-N with the clinically approved S-expressing mRNA vaccine (mRNA-S-2P), we found that combinatorial mRNA vaccination (mRNA-S+N) led to markedly enhanced protection against the SARS-CoV-2 delta variant compared to mRNA-S. In a hamster model, we demonstrated that while mRNA-S alone elicited significant control of the delta strain in the lungs ([~]45-fold reduction in viral loads compared to un-vaccinated control), its effectiveness in the upper respiratory tract was weak, whereas combinatorial mRNA-S+N vaccination induced markedly more robust control of the delta variant infection in the lungs ([~]450-fold reduction) as well as in the upper respiratory tract ([~]20-fold reduction). Immune analyses indicated that induction of N-specific immunity as well as augmented S-specific T-cell response and neutralizing antibody activity were collectively associated the enhanced protection against SARS-CoV-2 delta strain by combinatorial mRNA vaccination. These findings suggest that the combined effects of protection in the lungs and upper respiratory tract could both reduce the risk of severe disease as well as of infection and transmission.

microbiology↗

The ENDS of assumptions; an online tool for the Epistemic Nonparametric Drug-response Scoring

MotivationThe drugs sensitivity analysis is often elucidated from drug dose-response curves. These curves capture the degree of cell viability (or inhibition) over a range of induced drugs, often with parametric assumptions that are rarely validated. ResultsWe present a class of nonparametric models for the curve fitting and scoring of drug dose-responses. To allow a more objective representation of the drug sensitivity, these epistemic models devoid of any parametric assumptions attached to the linear fit, allow the parallel indexing such as IC50 and AUC. Specifically, three nonparametric models including Spline, Monotonic, and Bayesian (npS, npM, npB) and the parametric Logistic (pL) are implemented. Other indices including Maximum Effective Dose (MED) and Drug-response Span Gradient (DSG) pertinent to the npS are also provided to facilitate the interpretation of the fit. The collection of these models are implemented in an online app, standing as useful resource for drug dose-response curve fitting and analysis. AvailabilityThe ENDS is freely available online at https://irscope.shinyapps.io/ENDS/ and source codes can be obtained from https://github.com/AmiryousefiLab/ENDS. Supplementary informationSupplementary data are available at Bioinformatics and https://irscope.shinyapps.io/ENDS/ Contactali.amiryousefi@helisnki.fi; jing.tang@helisnki.fi. ContributionsAA conceived the study and developed the models, AA and BW adopted and implemented the methods, JT provided the funding, AA, BW, MJ, and JT wrote the paper.

pharmacology and toxicology↗

Nonmetric ANOVA: a generic framework for analysis of variance on dissimilarity measures

Classic Analysis of Variance (ANOVA; cA) tests the explanatory power of a partitioning on a set of objects. Nonparametric ANOVA (npA) extends to a case where instead of the object values themselves, their mutual distances are available. While considerably widening the applicability of the cA, the npA does not provide a statistical framework for the cases where the mutual dissimilarity measurements between objects are nonmetric. Based on the central limit theorem (CLT), we introduce nonmetric ANOVA (nmA) as an extension of the cA and npA models where metric properties (identity, symmetry, and subadditivity) are relaxed. Our model allows any dissimilarity measures to be defined between objects where a distinctiveness of a specific partitioning imposed on those are of interest. This derivation accommodates an ANOVA-like framework of judgment, indicative of significant dispersion of the partitioned outputs in nonmetric space. We present a statistic which under the null hypothesis of no differences between the mean of the imposed partitioning, follows an exact F-distribution allowing to obtain the consequential p-value. Three biological examples are provided and the performance of our method in relation to the cA and npA is discussed. Significance StatementThe Nonmetric Analysis of Variance (nmANOVA) conveys a framework that allows a compatible type of ANOVA for the cases where the proper metric measurements between objects are either lost, unknown or however inaccessible. While classic ANOVA is based on the measurements of the data from a base datum, the nmANOVA is formulated on the dissimilarity outputs (not necessarily metric) defined between all objects. As the main goal of ANOVA in providing a statistical test for assessing the significance of a considered partitioning on the data, the nmANOVA is yielding a paralleled scheme of inference with 1) accommodating the outcomes dissimilarities into within and between groups statistics, 2) assessing their respective divergence with a parametric distribution, and 3) providing a resultant p-value indicative of evidences fore rejecting the null hypothesis.

bioinformatics↗

PPAR-delta acts as a metabolic master checkpoint for metastasis in pancreatic cancer

SO_SCPLOWUMMARYC_SCPLOWIn pancreatic cancer, emerging evidence suggests that PPAR-{delta} overexpression is associated with tumor progression and metastasis, but a mechanistic link is still missing. Here we now show that PPAR-{delta} acts as the integrating upstream regulator for the metabolic rewiring, which is preceding the subsequent initiation of an invasive/metastatic program. Specifically, paracrine and metabolic cues regularly found in the metastasis-promoting tumor stroma consistently enhance, via induction of PPAR-{delta} activity, the glycolytic capacity and reserve of pancreatic cancer cells, respectively, accompanied by decreased mitochondrial oxygen consumption. Consequently, genetic or pharmacological inhibition of PPAR-{delta} results in reduced invasiveness and metastasis. Mechanistically, PPAR-{delta} acts by shifting the MYC/PGC1A balance towards MYC, enhancing metabolic plasticity. Targeting MYC similarly prevents the metabolic switch and subsequent initiation of invasiveness. Therefore, our data demonstrate that PPAR-{delta} is a key initiator for the metabolic reprogramming in pancreatic cancer, thereby acting as a checkpoint for the phenotypic change towards invasiveness. These findings provide compelling evidence for a novel treatment strategy to combat pancreatic cancer progression.

cancer biology↗

Comparative transcriptomic analysis of maize ear heterosis during the inflorescence meristem differentiation stage

Heterosis is widely used in many crops; however, its genetic mechanisms are only partly understood. Here, we sampled inflorescence meristem (IM) ears from the single-segment substitution maize (Zea mays) line lx9801hlEW2b, containing a heterotic locus hlEW2b associated with ear width, the receptor parent lx9801, the test parent Zheng58, and their corresponding hybrids. After transcriptomic analysis, 1638 genes were identified in at least one hybrid with nonadditively expressed patterns and different expression levels between the two hybrids. In particular, 2263 (12.89%) and 2352 (14.65%) genes showed allele-specific expression (ASE) in Zheng58 x lx9801 and Zheng58 x lx9801hlEW2b, respectively. A functional analysis showed that these genes were enriched in development-related processes and biosynthesis and catabolism processes, which are potentially associated with heterosis. Additionally, nonadditive expression and ASE may fine-tune the expression levels of crucial genes (such as WUS and KNOX that control IM development) controlling auxin metabolism and ear development to optimal states, and transcriptional variation may play important roles in maize ear heterosis. The results provide new information that increases our understanding of the relationship between transcriptional variation and heterosis formation during maize ear development, which may be helpful in clarifying the genetic and molecular mechanisms of heterosis.

genetics↗