Biology subjects

Moghe, G. D.

Publications and source records attributed to Moghe, G. D..

12 recordsLinked to original sources

bioRxiv2026

Systematic functional annotation of thousands of BAHD acyltransferases in plant genomes using Protein Language Model and phylogenomic tools

The functional annotation of plant genes lags significantly behind their genomic annotation. Closing this gap requires thorough cataloging of reported protein activities alongside predictive methods that scale beyond sequence-similarity inference. Focusing on the BAHD acyltransferase enzyme family as a model, we assembled FuncZymeDB-BAHD, a large database of 2,705 LLM-retrieved and curated enzyme-acceptor-donor activities covering 336 BAHDs from 156 plant species, a 2-to-6-fold expansion over Swiss-Prot and prior compilations. We further developed FuncPred-OG, which maps queries to orthologous groups and previously characterized enzymes in FuncZymeDB-BAHD, returning hits with high evidence provenance. FuncPred-OG enabled functional prediction of over half of BAHDs across 85 plant proteomes, of which five novel predictions were validated via in vitro assays and recent studies. For the remaining BAHDs without FuncPred-OG annotation, we developed FuncPred-AI, where logistic-regression classifiers trained on protein language model embeddings achieved high Area-Under-the-Precision-Recall-curve (AUPR) scores and correct-hit rates up to 93%. FuncPred-AI yielded [≥]1 probable donor/acceptor annotation for 99.9% (8894/8897) of BAHDs in our pan-plant dataset. Finally, the FuncPred workflow and datasets were deployed on a web portal for broader utilization, potentially reducing experimentalists efforts for selecting candidates from days to minutes. Overall, this framework provides a generalizable template for functional annotation of entire enzyme families.

bioinformatics↗

bioRxiv2023

NYUS.2: an Automated Machine Learning Prediction Model for the Large-scale Real-time Simulation of Grapevine Freezing Tolerance in North America

O_LIAccurate and real-time monitoring of grapevine freezing tolerance is crucial for the sustainability of the grape industry in cool climate viticultural regions. However, on-site data is limited. Current prediction models underperform under diverse climate conditions, which limits the large-scale deployment of these methods. C_LIO_LIWe combined grapevine freezing tolerance data from multiple regions in North America and generated a predictive model based on hourly temperature-derived features and cultivar features using AutoGluon, an automatic machine learning engine. Feature importance was quantified by AutoGluon and SHAP value. The final model was evaluated and compared with previous models for its performance under different climate conditions. C_LIO_LIThe final model achieved an overall 1.36 {degrees}C root-mean-square error during model testing and outperformed two previous models using three test cultivars at all testing regions. Two feature importance quantification methods identified five shared essential features. Detailed analysis of the features indicates that the model might have adequately extracted some biological mechanisms during training. C_LIO_LIThe final model, named NYUS.2, was deployed along with two previous models as an R shiny-based application in the 2022-2023 dormancy season, enabling large-scale and real-time simulation of grapevine freezing tolerance in North America for the first time. C_LI

plant biology↗

bioRxiv2022

Characterization and visualization of global metabolomic responses of Brachypodium distachyon to environmental changes

Plant responses to environmental change are mediated via changes in cellular metabolomes. However, <5% of signals obtained from tandem liquid chromatography mass spectrometry (LC-MS/MS) can be identified, limiting our understanding of how different metabolite classes change under biotic/abiotic stress. To address this challenge, we performed untargeted LC-MS/MS of leaves, roots and other organs of Brachypodium distachyon, a model Poaceae species, under 17 different organ-condition combinations, including copper deficiency, heat stress, low phosphate and arbuscular mycorrhizal symbiosis (AMS). We used a combination of information theory-based metrics and machine learning-based identification of metabolite structural classes to assess metabolomic changes. Both leaf and root metabolomes were significantly affected by the growth medium. Leaf metabolomes were more diverse than root metabolomes, but the latter were more specialized and more responsive to environmental change. We also found that one week of copper deficiency shielded the root metabolome, but not the leaf metabolome, from perturbation due to heat stress. Using a recently published deep learning based method for metabolite class predictions, we analyzed the responsiveness of each metabolite class to environmental change, which revealed significant perturbations of various lipid classes and phenylpropanoids such as cinnamic acids and flavonoids. Co-accumulation analysis further identified condition-specific metabolic biomarkers. Finally, to make these results publicly accessible, we developed a novel visualization platform on the Bioanalytical Resource website, where significantly perturbed metabolic classes can be readily visualized. Overall, our study illustrates how emerging chemoinformatic methods can be applied to reveal novel insights into the dynamic plant metabolome and plant stress adaptation.

plant biology↗

bioRxiv2022

Identification of BAHD acyltransferases associated with acylinositol biosynthesis in Solanum quitoense (naranjilla)

Plants make a variety of specialized metabolites that can mediate interactions with animals, microbes and competitor plants. Understanding how plants synthesize these compounds enables studies of their biological roles by manipulating their synthesis in vivo as well as producing them in vitro. Acylsugars are a group of protective metabolites that accumulate in the trichomes of many Solanaceae family plants. Acylinositol biosynthesis is of interest because it appears to be restricted to a subgroup of species within the Solanum genus. Previous work characterized a triacylinositol acetyltransferase involved in acylinositol biosynthesis in the Andean fruit plant Solanum quitoense (lulo or naranjillo). We characterized three additional S. quitoense trichome expressed enzymes, and found that virus induced gene silencing of each caused changes in acylinositol accumulation. Surprisingly, the in vitro triacylinositol products of these enzymes are distinct from those that accumulate in planta. These enzymes, nonetheless, provide an opportunities to test the biological impact and properties of these triacylinositols in vitro.

plant biology↗

bioRxiv2021

Computational metabolomics illuminates the lineage-specific diversification of resin glycoside acylsugars in the morning glory (Convolvulaceae) family

Acylsugars are a class of plant defense compounds produced across many distantly related families. Members of the horticulturally important morning glory (Convolvulaceae) family produce a diverse sub-class of acylsugars called resin glycosides (RGs), which comprise oligosaccharide cores, hydroxyacyl chain(s), and decorating aliphatic and aromatic acyl chains. While many RG structures are characterized, the extent of structural diversity of this class in different genera and species is not known. In this study, we asked whether there has been lineage-specific diversification of RG structures in different Convolvulaceae species that may suggest diversification of the underlying biosynthetic pathways. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) was performed from root and leaf extracts of 26 species sampled in a phylogeny-guided manner. LC-MS/MS revealed thousands of peaks with signature RG fragmentation patterns with one species producing over 300 signals, mirroring the diversity in Solanaceae-type acylsugars. A novel RG from Dichondra argentea was characterized using Nuclear Magnetic Resonance spectroscopy, supporting previous observations of RGs with open hydroxyacyl chains instead of closed macrolactone ring structures. Substantial lineage-specific differentiation in utilization of sugars, hydroxyacyl chains, and decorating acyl chains was discovered, especially among Ipomoea and Convolvulus - the two largest genera in Convolvulaceae. Adopting a computational, knowledge-based strategy, we further developed a high-recall workflow that successfully explained ~72% of the MS/MS fragments, predicted the structural components of 11/13 previously characterized RGs, and partially annotated ~45% of the RGs. Overall, this study improves our understanding of phytochemical diversity and lays a foundation for characterizing the evolutionary mechanisms underlying RG diversification.

plant biology↗

bioRxiv2020

Ancestral class-promiscuity as a driver of functional diversity in the BAHD acyltransferase family in plants

Large enzyme families catalyze metabolic diversification by virtue of their ability to use diverse chemical scaffolds. How enzyme families attain such functional diversity is not clear. Here, we addressed this question using BAHD acyltransferases as a model, and identified the routes by which duplication, promiscuity and sequence changes influenced BAHD diversification. This fast-evolving family expanded drastically during land plant evolution from 1-5 copies in algae to [~]100 copies in diploid angiosperm genomes. In vitro characterization of fourteen BAHDs against a substrate panel and compilation of >160 published activities revealed the wide prevalence of promiscuity among BAHDs. Using phylogenetic analysis, we predicted the substrate classes that the ancestral enzymes were likely capable of using prior to land plant origins. While the anthocyanin acylation activity was fixed in BAHDs later near the origin of angiosperms, in vitro testing of BAHDs from non-seed plant lineages suggested that the ability to acylate anthocyanins likely existed promiscuously millions of years prior to its fixation. Motif enrichment analysis in anthocyanin-acylating BAHDs identified two motifs fixed in the largest anthocyanin acylating clade. Molecular dynamic simulations and enzyme kinetics revealed the important role of an active site tryptophan, whose bulkiness, hydrophobicity and aromaticity are critical for anthocyanin acylation. Our results thus describe the molecular processes in robust, evolvable enzymes that drive emergence of functional diversity in enzyme families. One sentence summaryUsing a combination of phylogenetics, biochemistry and protein structure analysis, we investigated how the BAHD acyltransferase family evolved to use a structurally diverse array of substrates.

plant biology↗

bioRxiv2020

Migration through a major Andean ecogeographic disruption as a driver of genotypic and phenotypic diversity in a wild tomato species

The large number of species on our planet arises from the phenotypic variation and reproductive isolation occurring at the population level. In this study, we sought to understand the origins of such population-level variation in defensive acylsugar chemistry and mating systems in Solanum habrochaites - a wild tomato species found in diverse Andean habitats in Ecuador and Peru. Using Restriction-Associated-Digestion Sequencing (RAD-seq) of 50 S. habrochaites accessions, we identified eight population clusters generated via isolation and hybridization dynamics of 4-6 ancestral populations. Estimation of heterozygosity, fixation index, isolation by distance, and migration probabilities, allowed identification of multiple barriers to gene flow leading to the establishment of extant populations. One major barrier is the Amotape-Huancabamba Zone (AHZ) - a geographical feature in the Andes with high endemism, where the mountainous range breaks up into isolated microhabitats. The AHZ was associated with emergence of alleles for novel reproductive and acylsugar phenotypes. These alleles led to the evolution of self-compatibility in the northern populations, where alleles for novel defense-related enzyme variants were also found to be fixed. We identified geographical distance as a major force causing population differentiation in the central/southern part of the range, where S. habrochaites was also inferred to have originated. Findings presented here highlight the role of the diverse ecogeography of Peru and Ecuador in generating new, reproductively isolated populations, and enhance our understanding of the microevolutionary processes that lay a path to speciation.

plant biology↗

bioRxiv2020

Assessing extraction methods and diversity of anthocyanins from purple-fleshed sweet potatoes grown in cooler climates

Anthocyanins are economically valuable phytochemicals of significant relevance to human health. Multiple fruit and vegetable sources for industrial-scale anthocyanin purification exist, however, each source has distinct anthocyanin levels and profiles conferred by modifications to the central anthocyanidin core. In this study, we assessed three purple-fleshed and one orange-fleshed cultivars of sweet potato, with the goal of studying their anthocyanin yield and diversity when this warm-weather crop is grown in cooler, northern latitudes. Comparison of multiple anthocyanin extraction methods revealed acidified ethanol extraction of lyophilized roots as the optimal method, producing a high, average yield of [~]800 mg anthocyanins/100g dry weight. Mass spectrometric analysis of sweet potato extracts identified eighteen high-confidence anthocyanins - all derived from peonidin and cyanidin cores - contributing to over 90% of the total anthocyanin signal. The concentrations of different anthocyanins were variable between the three purple-fleshed cultivars, while low anthocyanin accumulation was observed in the orange-fleshed cultivar. Further assessment of the untargeted high-resolution mass spectrometry data using MS/MS molecular networking revealed existence of low-abundance anthocyanins with delphinidin and pelargonidin cores, as well as over 250 peaks comprising of potential anthocyanins and flavonoids. These results provide a comprehensive insight into anthocyanin yields of purple-fleshed sweet potato grown in the northern latitudes and reveal the large diversity of anthocyanins and flavonoids in this popular crop.

plant biology↗

bioRxiv2020

An improved Nicotiana benthamiana strain for aphid and whitefly research

Nicotiana benthamiana is used extensively as a platform for transient gene expression and as a model system for studying plant-virus interactions. However, many tobacco-feeding generalist herbivores, including Myzus persicae (green peach aphid), Bemisia tabaci (whitefly), Macrosiphum euphorbiae (potato aphid), Heliothis virescens (tobacco budworm), Trichoplusia ni (cabbage looper), and Helicoverpa zea (corn earworm), grow poorly on N. benthamiana, limiting its utility for research on plant-insect interactions. Using CRISPR/Cas9, we generated knockout mutations in two N. benthamiana acylsugar acyltransferases, ASAT1 and ASAT2, which contribute to the biosynthesis of insect-deterrent acylsucroses. Whereas asat1 mutations reduced the abundance of two predominant acylsucroses, asat2 mutations caused almost complete depletion of foliar acylsucroses. The tested hemipteran and lepidopteran species survived, gained weight, and/or reproduced significantly better on asat2 mutant plants than on wildtype N. benthamiana. Furthermore, both asat1 and asat2 mutations reduced the water content and increased the temperature of leaves, indicating that foliar acylsucroses can protect against desiccation. Two experiments demonstrated the utility of the N. benthamiana asat2 mutant line for insect bioassays. Transmission of turnip mosaic virus by M. persicae was significantly improved by an asat2 mutation. Tobacco rattle virus constructs were used for virus-induced gene silencing of acetylcholinesterase, squalene synthase, toll-like receptor 7, and tubulin-specific chaperon D genes in B. tabaci, an experiment that would have been difficult with wild-type N. benthamiana due to high insect mortality. Additionally, the absence of acylsugars in asat2 mutant lines will simplify transient expression assays for the functional analysis of acylsugar biosynthesis genes from other Solanaceae.

plant biology↗

bioRxiv2020

Solanaceae specialized metabolism in a non-model plant: trichome acylinositol biosynthesis

Plants make hundreds of thousands of biologically active specialized metabolites varying widely in structure, biosynthesis and the processes that they influence. An increasing number of these compounds are documented to protect plants from harmful insects, pathogens, or herbivores, or mediate interactions with beneficial organisms including pollinators and nitrogen fixing microbes. Acylsugars - one class of protective compounds - are made in glandular trichomes of plants across the Solanaceae family. While most described acylsugars are acylsucroses, published examples also include acylsugars with hexose cores. The South American fruit crop Solanum quitoense (Naranjilla) produces acylsugars that contain a myo-inositol core. We identified an enzyme that acetylates triacylinositols, a function homologous to the last step in the Solanum lycopersicum acylsucrose biosynthetic pathway. Our analysis reveals parallels between S. lycopersicum acylsucrose and S. quitoense acylinositol biosynthesis, suggesting a common evolutionary origin. Material availabilityThe author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantphysiol.org) is: Robert L. Last (lastr@msu.edu). One sentence summaryEvidence that the final step in Solanum quitoense acylinositol biosynthesis evolved from an acylsucrose acetyltransferase enzyme.

biochemistry↗

bioRxiv2018

Evolutionary characteristics of intergenic transcribed regions indicate widespread noisy transcription in the Poaceae

Extensive transcriptional activity occurring in unannotated, intergenic regions of genomes has raised the question whether intergenic transcription represents the activity of novel genes or noisy expression. To address this, we evaluated cross-species and post-duplication sequence and expression conservation of intergenic transcribed regions (ITRs) in four Poaceae species. Most ITR sequences are species-specific. Those found across species tend to be more divergent in expression and have more recent duplicates compared to annotated genes. To assess if ITRs are functional (under selection), machine learning models were established in Oryza sativa (rice) that could distinguish between benchmark functional (phenotype genes) and nonfunctional (pseudogenes) sequences with high accuracy based on 44 evolutionary and biochemical features. Based on the prediction models, 584 rice ITRs (8%) are classified as likely functional that tend to have conserved expression and ancient retained duplicates. However, most ITRs do not exhibit sequence or expression conservation across species or following duplication, consistent with computational predictions that suggest 61% ITRs are not under selection. We outline key evolutionary characteristics that are tightly associated with likely-functional ITRs and provide a framework to identify novel genes to improve genome annotation and move toward connecting genotype to phenotype in crop and model systems.

genomics↗

bioRxiv2017

Multi-omic analysis of a hyper-diverse plant metabolic pathway reveals evolutionary routes to biological innovation

The diversity of life on Earth is a result of continual innovations in molecular networks influencing morphology and physiology. Plant specialized metabolism produces hundreds of thousands of compounds, offering striking examples of these innovations. To understand how this novelty is generated, we investigated the evolution of the Solanaceae family-specific, trichome-localized acylsugar biosynthetic pathway using a combination of mass spectrometry, RNA-seq, enzyme assays, RNAi and phylogenetics in non-model species. Our results reveal that hundreds of acylsugars are produced across the Solanaceae family and even within a single plant, revealing this phenotype to be hyper-diverse. The relatively short biosynthetic pathway experienced repeated cycles of innovation over the last 100 million years that include gene duplication and divergence, gene loss, evolution of substrate preference and promiscuity. This study provides mechanistic insights into the emergence of plant chemical novelty, and offers a template for investigating the [~]300,000 non-model plant species that remain underexplored.

genomics↗