Biology subjects

Behera, S.

Publications and source records attributed to Behera, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Genetic and Epigenetic Landscape of Self-Identified Hispanics/Latino in All Of Us

Human genetic studies still underrepresent many populations, limiting discovery and interpretation of medically relevant variation. Extensive admixture in self-identified Hispanic/Latino populations increases the need for representative reference data and ancestry-aware interpretation of medically relevant variation. We used long-read sequencing to analyze genetic variation, ancestry, and DNA methylation in 1,490 self-identified Hispanic/Latino participants from the All of Us Research Program. We identified 10 million novel variants and more than 100 candidate phenotype associations, with fine-mapping prioritizing structural variants over nearby single-nucleotide variants in more than half. We linked 3,329 tandem repeats to DNA methylation, resolved widespread allele-specific methylation, and identified ancestry-linked regulation across paralogous genes. These results reveal previously inaccessible genetic and regulatory variation and show the value of long-read sequencing for diverse populations.

genetics↗

bioRxiv2026

Integrative genomics reveals shared and stress-specific adaptive pathways underlying acidic soil-associated metal toxicity in rice

Soil acidity-associated toxicities of aluminum (Al), cadmium (Cd), and manganese (Mn) severely constrain rice productivity in upland ecosystems. To investigate the genomic basis of adaptation to acidic soil-related metal stress, we conducted an integrated meta-QTL (M-QTL) and functional genomics analysis in rice. Meta-analysis of 681 QTLs and MTAs from 53 QTL mapping and GWAS studies identified 79 robust M-QTLs, including ten overlapping regions associated with Al-, Cd-, and Mn-responsive traits. A multi-criteria prioritization framework identified 98 candidate genes supported by positional overlap, transcriptomic recurrence, and functional annotation, enriched for ion transport, detoxification, and redox regulation pathways. M-QTL10.9 emerged as a major hotspot enriched for glutathione-S-transferase genes, whereas M-QTL9.5 contained the highest density of prioritized candidates linked to Al and Cd responses. Comparative physiological & biochemical analyses of the contrasting rice genotypes Sahasarang and IR64 revealed genotype-dependent differences in antioxidant responses, metal partitioning, metabolic regulation, and cell wall remodeling under individual and combined metal stresses. Expression profiling of prioritized candidate genes, including OsACO family genes, OsZIP10, and OsGSTU10, further revealed genotype-dependent transcriptional divergence under combined stress. The identification of overlapping M-QTLs across Al, Cd, and Mn datasets suggests both shared and stress-specific adaptive responses to acidic soil-associated metal stress in rice.

genomics↗

bioRxiv2026

Multilevel computational approach to unlock the potential inhibitors of biofilm-EPS, persistence and quinolone signalling in Pseudomonas aeruginosa using mangrove-derived bioactive phytochemicals

Pseudomonas aeruginosa, a Gram-negative opportunistic pathogen is well known for life-threatening acute infections among the human population. The bacterium can withstand most antibiotics by using their high levels of inherent and acquired resistance mechanisms such as Biofilm-EPS, Persistence, and Quorum sensing (QS). Owing to the importance of adaptive antibiotic multi-drug resistance of P. aeruginosa, the current investigation is aimed to explore the phytochemicals derived from mangrove plants as potential agents to control biofilm and drug resistance mechanisms through a multi-mechanistic computational approach. For identifying potential compounds and target, In-silico drug repurposing technique is implemented by docking/virtual screening of 49 phytochemical compounds against 18 proteins involved in the Persister Cell formation, QS, and EPS synthesis in P. aeruginosa which resulted the proteins RelA and SpoT (persistence), PqsA, and PqSR (QS), and PelA and PelB (EPS synthesis) and compounds Taraxerone and Taraxerol to be potential. The results of docking were well corroborated with MD simulations. These targets and compounds explored through in-silico approach, are found to target potential antimicrobial pathways involving EPS synthesis, persistence genes, and QS, aiming to enhance antibiotic efficacy. Further, this study could be reference for in-vivo and in-vitro investigations to evaluate the further effectiveness of the compounds and potentiality of the proteins for MDR therapeutics of P. aeruginosa.

microbiology↗

bioRxiv2026

ADT-030, a novel PDE10 inhibitor, demonstrates potent antitumor activity in pancreatic ductal adenocarcinoma

Phosphodiesterase 10 (PDE10) has been noted to be highly expressed in multiple types of cancer and is crucial for the growth and maintenance of cancer cells found in colon, lung, and ovarian cancers. Here, we studied a novel orally bioavailable PDE10 inhibitor, ADT-030, and found that it potently inhibits the proliferation and clonogenicity of KRAS-mutant pancreatic ductal adenocarcinoma (PDAC) cells at levels that block recombinant PDE10. ADT-030 also inhibited PDAC cell motility and triggered G2/M cell cycle halt and programmed cell death. These impacts were facilitated by raised cAMP/cGMP levels, activation of PKA/PKG, reduced {beta}-catenin and RAS signaling. Notably, ADT-030 diminished the proliferation of PDAC cells with KRASG12D and KRASG12C mutations that were resistant to both allele-specific and pan-RAS inhibitors. When administered orally, ADT-030 markedly decreased tumor growth, lowered the metastasis to the lungs and liver, and enhanced survival rates without causing systemic toxicity in both syngeneic and patient-derived xenograft (PDX) models of PDAC. ADT-030 also increased chemotherapy response in orthotopic PDAC models. Immune phenotyping and single-cell RNA sequencing revealed remodeling of the tumor microenvironment by ADT-030 with a more favorable anti-tumor immune profile. The findings suggest that ADT-030 holds promise as a potential drug development candidate for treating KRAS-mutant PDAC by simultaneously targeting key oncogenic signaling pathways, resulting in tumor-intrinsic and immunomodulatory effects.

cancer biology↗

bioRxiv2025

Ca2+-dependent nanodomain enrichment is crucial for the perception of bacterial outer membrane vesicles in plants

O_LIXanthomonas oryzae pv. oryzae (Xoo) releases OMVs; however, the role of Xoo-OMVs in Xoo-rice interaction has not yet been studied. We investigated the early signalling events underlying Xoo-OMV perception by rice to gain insight into early plant-pathogen interactions. C_LIO_LIWe observed that Xoo-OMVs are perceived by rice through a rapid and unique Ca2+ signal that is essential to evoke an immune response. By confocal imaging and proteomic analysis of the rice PM, we found that the Ca2+ signal is required for Xoo-OMV-induced nanodomain enrichment and for the aggregation of defence response-associated proteins in rice PM. C_LIO_LIThe differential assembly of proteins in the PM helps the plant defend itself against Xoo. In the absence of the early Ca2+ signal, Xoo-OMVs are not perceived by the plant, resulting in a compromised immune response. C_LIO_LICollectively, our study shows that Xoo-OMVs are recognised by rice via Ca2+ signal-induced nanodomain assembly leading to protein reorganisation in the PM to prepare the plant for an imminent pathogen invasion. C_LI

plant biology↗

bioRxiv2025

Interleukin-3 as a Potential Bone Anabolic Agent in treating Postmenopausal Osteoporosis

Postmenopausal osteoporosis (PMO), a silent disorder caused due to estrogen deficiency, is characterized by loss of bone mass and low bone mineral density. Despite advancements in treatment, current medications often fail to fully restore bone integrity and prevent fragility fractures in the osteoporotic individuals. Thus, there is a high demand of novel therapeutic modalities in dealing with osteoporosis. Interleukin-3 (IL-3), a cytokine secreted by activated T cells, emerges as a promising therapeutic candidate. The dual role of IL-3 in inhibiting osteoclast differentiation and promoting osteoblast differentiation, offers protection against bone and joint degeneration in arthritic mice. However, its role in osteoporosis is not yet delineated. Therefore, our investigation focuses on elucidating the role of IL-3 in PMO, employing both prophylactic and therapeutic strategies in ovariectomized mice, mimicking human PMO. In our study, at the onset of osteoporosis, IL-3 treatment effectively preserved trabecular bone architecture and enhanced bone mineral density in OVX mice, particularly notable in therapeutic interventions where fully developed osteoporosis was addressed. Notably, in preventive measures, IL-3 inhibited osteoclast differentiation, thereby suppressing bone resorption, while in therapeutic approaches, it enhanced osteoblast differentiation, promoting bone formation. Irrespective of gender specific, microCT analysis of IL-3-/- (KO) mice showed reduced trabecular bone development compared to its respective wild type (WT) mice, highlighting essential role of IL-3 in skeletal integrity. Moreover, IL-3 increased Treg cells population while inhibiting B cell lymphopoiesis in ovariectomized mice with no adverse effects on hematopoiesis or vital organs. In conclusion, our findings collectively underscore the potential of IL-3 as a novel therapy for PMO, offering insights into its mechanisms of action and clinical applications. One Sentence SummaryIL-3 has a dual action on bone: anti-osteoclastic and pro-osteoblastic in OVX mice, thus can be a novel therapeutic drug in treating postmenopausal osteoporosis.

pathology↗

bioRxiv2024

Exercise-induced differential transcriptional output of AMPK signalling improves axon regeneration and functional recovery

In adulthood, the regenerative capacity of the injured brain circuit is poor preventing functional restoration. Rehabilitative physical exercise is a promising approach to overcome such functional impairment and the metabolic sensor AMPK has emerged to be a critical mediator for this. However, the mechanistic understanding of upstream and downstream components of AMPK signalling in the physical exercise-mediated enhancement of axon regeneration is not clear. We combined swimming exercise with laser axotomy of posterior lateral microtubule (PLM) neurons of Caenorhabditis elegans to address this question. We found that direct activation of AMPK through AICAR treatment is sufficient to improve axon regeneration and functional recovery. The PAR-4/Liver kinase B1 (LKB1) acts upstream of AMPK to enhance functional recovery following swimming exercise. Using genetics, tissue-specific RNAi, and AICAR treatment, we found that the transcriptional regulators DAF-16 and MDT-15 act downstream of AMPK in mediating the positive effects of swimming. We found that MDT-15 acts in neuron to mediate the benefit of AMPK activation in axon regeneration, whereas DAF-16 acts both in neuron and muscle to promote regrowth downstream to AMPK. We also showed that swimming exercise induces nuclear localization of DAF-16 in an AMPK-dependent manner. Our results showed that neuronal and non-neuronal arms of AMPK signalling play an integrative role in response to physical exercise to promote functional recovery after axon injury. Significance statementFinding ways to promote functional recovery after accidental damage to the nervous system has been challenging as adult neurons lose the capability to regenerate. Rehabilitation therapy is the most promising approach to improve the health condition of patients with nervous system injury. Even in the roundworm C. elegans, axon regeneration could be enhanced through swimming exercise, which is mediated by the metabolic energy sensor AMP Kinase. In this study, using sensory neurons in worm, we found that PAR-4/ Liver kinase B1 acts upstream of AMPK. Whereas, the transcription factor DAF-16/ FOXO and the transcriptional co-regulator MDT-15 act as downstream signalling arms in muscle and neuron tissues. Excitingly, both of these arms could be harnessed through agonist-mediated activation of AMPK to promote functional recovery in adulthood.

neuroscience↗

bioRxiv2024

Synergistic control of axon regeneration and functional recovery by let-7 miRNA and Insulin signalling (IIs) pathways

The capability of neurons to regenerate after injury becomes poor in adulthood. Previous studies indicated that loss of either let-7 miRNA or components of Insulin signalling (IIs) can overcome the age-related decline in axon regeneration in C. elegans. In this study, we wanted to understand the relationship between these two pathways in axon regeneration. We found that the simultaneous removal of let-7 and the gene for insulin receptor daf-2 synergistically increased the functional recovery involving posterior touch sensation following axotomy of PLM neuron in adulthood. Conversely, the loss of let-7 could bypass the regeneration block due to the loss of DAF-16, a transcriptional target of DAF-2. Similarly, the loss of daf-2 could bypass the requirement of LIN-41, a transcriptional co-factor of the let-7 pathway. Our analysis revealed that these two pathways synergistically control targeting of the regenerating axon to the ventral nerve cord, which leads to functional recovery. The computational analysis of the gene expression data revealed a large number of genes, their interacting modules, and hub genes under let-7 and IIs pathway are exclusive in nature. Our study highlights a potential to promote neurite regeneration by harnessing the independent gene expression program involving the let-7 and Insulin signalling pathways.

neuroscience↗

bioRxiv2024

Comprehensive and accurate genome analysis at scale using DRAGEN accelerated algorithms

Research and medical genomics require comprehensive and scalable solutions to drive the discovery of novel disease targets, evolutionary drivers, and genetic markers with clinical significance. This necessitates a framework to identify all types of variants independent of their size (e.g., SNV/SV) or location (e.g., repeats). Here we present DRAGEN that utilizes novel methods based on multigenomes, hardware acceleration, and machine learning based variant detection to provide novel insights into individual genomes with [~]30min computation time (from raw reads to variant detection). DRAGEN outperforms all other state-of-the-art methods in speed and accuracy across all variant types (SNV, indel, STR, SV, CNV) and further incorporates specialized methods to obtain key insights in medically relevant genes (e.g., HLA, SMN, GBA). We showcase DRAGEN across 3,202 genomes and demonstrate its scalability, accuracy, and innovations to further advance the integration of comprehensive genomics for research and medical applications.

genomics↗

bioRxiv2023

Single-cell somatic copy number variants in brain using different amplification methods and reference genomes

The presence of somatic mutations, including copy number variants (CNVs), in the brain is well recognized. Comprehensive study requires single-cell whole genome amplification, with several methods available, prior to sequencing. We compared PicoPLEX with two recent adaptations of multiple displacement amplification (MDA): primary template-directed amplification (PTA) and droplet MDA, across 93 human brain cortical nuclei. We demonstrated different properties for each, with PTA providing the broadest amplification, PicoPLEX the most even, and distinct chimeric profiles. Furthermore, we performed CNV calling on two brains with multiple system atrophy and one control brain using different reference genomes. We found that 38% of brain cells have at least one Mb-scale CNV, with some supported by bulk sequencing or single-cells from other brain regions. Our study highlights the importance of selecting whole genome amplification method and reference genome for CNV calling, while supporting the existence of somatic CNVs in healthy and diseased human brain.

neuroscience↗

bioRxiv2023

Computational prediction of gamma-oryzanol as potential agonist of human peroxisome proliferator-activated receptor gamma (ppar-γ)

Diabetes mellitus is one of the complex metabolic disorders associated with individuals leading sedentary lifestyles. It leads to several complications rendering the normal function of vital organs like heart, liver, kidney, eye and brain. Scientists and doctors across the globe are involved in research for understanding the complex genetics of this disorder and formulating newer therapeutics accordingly. The finding of potential chemical entities and their underlying agonists or antagonist activities significantly controls the disorder but with some consequences. Thus there is demand for natural compounds and indigenous treatment methods for controlling the disorder with least or no adverse consequences. In the current work we present computational prediction of gamma-oryzanol as potential agonist of human peroxisome proliferator-activated receptor gamma (PPAR-{gamma}). A group of four gamma-oryzanol compound structures reported in PubChem database were downloaded and docked in the ligand binding site of five different human PPAR-{gamma} structures reported in PDB database. It was observed that most of the gamma-oryzanol compounds occupied themselves in the ligand binding P1, P2, P3, P4 sites with similar orientations as that of co-crystal agonists. Their binding conformations were assisted by some reasonable docking scores (-7 to -11 kcal/mol) and hydrogen bond interactions with some important conserved amino acid residues lining the ligand binding site. Additionally we have done a comparative molecular dynamics studies to reveal the flexibility of gamma-oryzanol in the ligand binding site in comparison to the co-crystal agonist and a scaffold analysis using the structure of six agonists and gamma-oryzanol for fetching potential scaffolds which may helpful in designing of new chemical entities.

bioinformatics↗

bioRxiv2023

Identification of allele-specific KIV-2 repeats and impact on Lp(a) measurements for cardiovascular disease risk

The abundance of Lp(a) protein holds significant implications for the risk of cardiovascular disease (CVD), which is directly impacted by the copy number (CN) of KIV-2, a 5.5 kbp sub-region. KIV-2 is highly polymorphic in the population and accurate analysis is challenging. In this study, we present the DRAGEN KIV-2 CN caller, which utilizes short reads. Data across 166 WGS show that the caller has high accuracy, compared to optical mapping and can further phase [~]50% of the samples. We compared KIV-2 CN numbers to 24 previously postulated KIV-2 relevant SNVs, revealing that many are ineffective predictors of KIV-2 copy number. Population studies, including USA-based cohorts, showed distinct KIV-2 CN, distributions for European-, African-, and Hispanic-American populations and further underscored the limitations of SNV predictors. We demonstrate that the CN estimates correlate significantly with the available Lp(a) protein levels and that phasing is highly important.

genomics↗

bioRxiv2023

Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation

Long-read sequencing technologies substantially overcome the limitations of short-reads but to date have not been considered as feasible replacement at scale due to a combination of being too expensive, not scalable enough, or too error-prone. Here, we develop an efficient and scalable wet lab and computational protocol for Oxford Nanopore Technologies (ONT) long-read sequencing that seeks to provide a genuine alternative to short-reads for large-scale genomics projects. We applied our protocol to cell lines and brain tissue samples as part of a pilot project for the NIH Center for Alzheimers and Related Dementias (CARD). Using a single PromethION flow cell, we can detect SNPs with F1-score better than Illumina short-read sequencing. Small indel calling remains difficult within homopolymers and tandem repeats, but is comparable to Illumina calls elsewhere. Further, we can discover structural variants with F1-score comparable to state-of-the-art methods involving Pacific Biosciences HiFi sequencing and trio information (but at a lower cost and greater throughput). Using ONT-based phasing, we can then combine and phase small and structural variants at megabase scales. Our protocol also produces highly accurate, haplotype-specific methylation calls. Overall, this makes large-scale long-read sequencing projects feasible; the protocol is currently being used to sequence thousands of brain-based genomes as a part of the NIH CARD initiative. We provide the protocol and software as open-source integrated pipelines for generating phased variant calls and assemblies.

bioinformatics↗

bioRxiv2022

Revisiting the burden borne by fumarase: enzymatic hydration of an olefin

Fumarate hydratase (FH) is a remarkable catalyst that decreases the free energy of the catalyzed reaction by 30 kcal mol-1, much larger than most exceptional enzymes with extraordinary catalytic rates. Two classes of FH are observed in nature: class-I and class-II, that have different folds, yet catalyze the same reversible hydration/dehydration reaction of the dicarboxylic acids fumarate/malate, with equal efficiencies. Using class-I FH from the hyperthermophilic archaeon Methanocaldococcus jannaschii (Mj) as a model along with comparative analysis with the only other available class-I FH structure from Leishmania major (Lm), we provide insights into the molecular mechanism of catalysis in this class of enzymes. The structure of MjFH apo-protein has been determined, revealing that large inter-subunit rearrangements occur across apo- and the holo-protein forms, with a largely preorganized active site for substrate binding. Site-directed mutagenesis of active site residues, kinetic analysis and computational studies including DFT and natural population analysis, together show that residues interacting with the carboxylate group of the substrate play a pivotal role in catalysis. Our study establishes that an electrostatic network at the active site of class-I FH, polarizes the substrate fumarate through interactions with its carboxylate groups, thereby permitting an easier addition of a water molecule across the olefinic bond. We propose a mechanism of catalysis in FH that occurs through transition state stabilization involving the distortion of the electronic structure of the substrate olefinic bond mediated by the charge polarization of the bound substrate at the enzyme active site. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=133 SRC="FIGDIR/small/506457v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@f2f7feorg.highwire.dtl.DTLVardef@1774e6aorg.highwire.dtl.DTLVardef@1bd180eorg.highwire.dtl.DTLVardef@1764941_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2022

COMPUTATIONAL IDENTIFICATION VALIDATION AND STRUCTURAL CHARACTERIZATION OF SOME POTENTIAL CANDIDATE GENES FOR DIABETES MELLITUS

Diabetes mellitus seems to be a complex metabolic disorder due to its association with several complications like cardiovascular, ocular, neurologic, skeletal, hepatic and renal abnormalities etc. Current estimations by WHO suggest that most of the low and middle-income countries of the world are worst affected by this disorder with a prediction that the prevalence may double between 2020 and 2030. Thus both doctors and scientists across the globe are involved in research to disclose the complex genetics of this disorder associated with several environmental and demographic factors. In the last 10 years, several predictions have been made in the lane of omics approaches and computational biology which makes the process quite generous. In the current work, we present a computational analysis of potential candidate genes for diabetes mellitus and their differential expressions in targeted human tissue systems. About 220 reported genes for diabetes mellitus were selected for the study and their protein-protein interaction network (5090 nodes) was extracted using medium-confidence interactions of the HIPPIE database. From the network, the top 10% (509) genes were categorised as hub genes after calculation of about 11 centralities, their consensus ranking and rank correlations. The same set of 220 genes was used for gene ontology enrichment analysis featuring about 1483 genes. About 89 candidate genes were predicted for diabetes mellitus and their differential expressions were studied in adipose, pancreas, skeletal, hepatic and renal tissue systems using the information from NCBI GEOdatabase. Then the differentially expressed gene sets for each tissue system were further validated by fetching them in the potential clusters of the PPI network designed earlier with their functional enrichment analysis using information from the STRINGS database. About 77 genes were prioritized with help of our scoring system and their structural characterization was done with protein centric annotations from UniProtKB database information and molecular model building. We hope our findings are helpful in understanding the expression of diabetes-related genes in different human tissue systems which may lead to the design of newer therapeutic strategies.

systems biology↗

bioRxiv2022

Multiscale Analysis of Pangenome Enables Improved Representation of Genomic Diversity For Repetitive And Clinical Relevant Genes

The advancements in sequencing technologies and assembly methods enable the regular production of high-quality genome assemblies characterizing complex regions. However, challenges remain in efficiently interpreting variations at various scales, from smaller tandem repeats to megabase re-arrangements, across many human genomes. We present a pangenome research toolkit enabling analyses of complex pangenome variations at multiple scales. A graph decomposition method is developed for interpreting such variations. Surveying a set of 395 challenging and medically important genes in pangenome provides quantitative insights into repetitiveness and diversity that could impact the accuracy of variant calls. We apply the graph decomposition methods to the Y-chromosome gene, DAZ1/DAZ2/DAZ3/DAZ4, of which structural variants have been linked to male infertility, and X-chromosome genes OPN1LW and OPN1MW linked to eye disorders, highlighting the power of PGR-TK and pangenomics to resolve complex variation in regions of the genome that were previously too complex to analyze across many haplotypes.

bioinformatics↗

bioRxiv2022

Fixing reference errors efficiently improves sequencing results

The GRCh38 reference is the current standard in human genomics research and clinical applications, but includes errors across 33 protein-coding genes, including 12 with medical relevance. Current studies rely on the correctness of this reference genome and require an accurate and cost-effective way to improve variant calling and expression analysis across these erroneous loci. We identified likely artifacts in GTEx, gnomAD, 1000 Genomes Project, and other important genomic resources leading to wrong interpretations for these genes. Here, we present FixItFelix together with a modified GRCh38 version that improves the subsequent analysis across these genes within minutes for an existing BAM/CRAM file. We showcase these improvements over multi-ethnic control samples across short and long-read DNA-, and RNA-sequencing. Furthermore, applying our approach across thousands of genomes demonstrates improvements for population variant calling as well as eQTL studies. Still, some genes e.g., DUSP22 indicate mixed results due to their complexity.

genomics↗

bioRxiv2022

Interplay between MYZUS PERSICAE-INDUCED LIPASE 1 and OPDA signaling in controlling green peach aphid infestation on Arabidopsis thaliana

MYZUS PERSICAE-INDUCED LIPASE1 (MPL1) encodes a lipase in Arabidopsis thaliana that is required for controlling infestation by the green peach aphid (GPA; Myzus persicae), an important phloem sap-consuming insect pest. Previously, we demonstrated that MPL1 expression was upregulated in response to GPA infestation, and GPA fecundity was higher on the mpl1 mutant, compared to the wild-type (WT), and lower on 35S:MPL1 plants that constitutively expressed MPL1 from the 35S promoter. Here, we show that the MPL1 promoter is active in the phloem and expression of the MPL1 coding sequence from the phloem-specific SUC2 promoter is sufficient to restore resistance to the GPA in the mpl1 mutant. The GPA infestation-associated upregulation of MPL1 requires CYCLOPHILIN 20-3 (CYP20-3), which encodes a 12-oxo- phytodienoic acid (OPDA)-binding protein that is involved in OPDA signaling and is required for controlling GPA infestation. OPDA promotes MPL1 expression to limit GPA fecundity, a process that requires CYP20-3 function. These results along with our observation that constitutive expression of MPL1 from the 35S promoter restores resistance to the GPA in the cyp20-3 mutant, and MPL1 feedbacks to limit OPDA levels in GPA-infested plants, suggest that an interplay between MPL1, OPDA, and CYP20-3 contributes to resistance to the GPA. HighlightInteraction between MYZUS PERSICAE-INDUCED LIPASE 1 function in the phloem, and 12-oxo-phytodienoic acid (OPDA) and CYCLOPHILIN 20-3, which encodes an OPDA-binding protein that is involved in OPDA signaling, is involved in controlling green peach aphid infestation on Arabidopsis thaliana.

plant biology↗