Plant Genome最新文献

{"title":"Association mapping for canopy temperature under irrigated and rainfed conditions at 12 environments identified both known and novel genetic loci.","authors":"Siva K Chamarthi, T M Shaikh, Felix B Fritschi, Larry C Purcell, Hussein Abdel-Haleem, James R Smith, Jason D Gillman","doi":"10.1002/tpg2.70272","DOIUrl":"10.1002/tpg2.70272","url":null,"abstract":"<p><p>Soybean (Glycine max (L.) Merrill) is the most widely cultivated oilseed crop and faces significant yield challenges due to drought stress. Canopy temperature has been proposed as an effective proxy for evaluation of differences in genotypic responses to water limitation, as well as indirectly assessing transpiration and stomatal conductance. Cooler canopy temperatures are associated with higher transpiration and open stomata, whereas warmer canopy temperatures are associated with reduced transpiration and stomatal closure. This study evaluated a diverse group of 205 soybean maturity group IV genotypes across six irrigated and six rainfed environments. Genome-wide association mapping identified 111 loci associated with normalized canopy temperature (nCT). Among these, only three loci overlapped with previously identified nCT loci, while 63 loci were aligned with other drought-associated traits, and the remaining 45 loci were novel. Additionally, we identified 542 putative candidate genes in close proximity to significant single nucleotide polymorphisms, which have gene ontology annotations related to drought response mechanisms such as water transport, stomata regulation, response to temperature, and root development. Our findings were substantially consistent with previous studies on other drought tolerance traits, underscoring the interconnected nature of drought-tolerance responses, as well as highlighting common genetic resources for breeding programs to develop more drought tolerant soybean cultivars. These confirmed genomic loci offer a valuable resource for enhancing soybean resilience to drought by pyramiding favorable alleles for nCT, thereby expediting breeding for cooler canopies.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"19 3","pages":"e70272"},"PeriodicalIF":4.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13403220/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148593944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The afterlife of a horizontally transferred gene: Expansion and functional diversification of a C1A peptidase in wild Hordeum species.","authors":"Václav Mahelka, Petra Caklová, Radim Čegan, Simón Villanueva-Corrales, Jiřina Josefiová, Jana Kneřová, David Kopecký, Michaela Nagy-Nejedlá, Marek Szecówka, Karol Krak","doi":"10.1002/tpg2.70242","DOIUrl":"10.1002/tpg2.70242","url":null,"abstract":"<p><p>Horizontal gene transfer (HGT) can accelerate plant adaptation, but the evolutionary fate of newly acquired nuclear genes is often unclear. Here, we analyzed a papain-like cysteine peptidase horizontally transferred from Panicoideae to wild Hordeum (Poaceae). Using chromosome-level assemblies of 21 diploid Hordeum species, we assessed presence/absence, copy-number variation, coding diversity, selection, predicted protein functionality, and expression. To infer donor relationships, we screened 77 Panicoideae accessions (48 species, 20 genera) by polymerase chain reaction and sequenced positive amplicons with Nanopore. The transferred locus, likely acquired as part of a larger panicoid DNA segment, is retained across Hordeum sect. Stenostachys but shows strong post-transfer diversification, with 1-8 copies per species, extensive transposable-element insertions, and numerous coding-sequence variants. Close homologs in Panicoideae were rare and restricted to Panicum and Paspalum; gene trees identified Panicum bergii as the closest sampled relative. Selection analyses indicated heterogeneous constraints and episodic positive selection in some Hordeum lineages. Only a minority of copies retained an intact catalytic triad, whereas most were predicted to be pseudopeptidases. Transcripts were detected across species and tissues. These results indicate that an HGT-derived DNA block can persist, amplify, and diversify in recipient genomes, generating raw material for later functional evolution.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"19 3","pages":"e70242"},"PeriodicalIF":4.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13520124/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A pangenome-based approach reveals genes associated with polyploidy and apomixis in Eragrostis curvula.","authors":"Giacomo Bongiorno, José Carballo, Juan Pablo Selva, Diego Zappacosta, Emidio Albertini, Viviana Echenique","doi":"10.1002/tpg2.70303","DOIUrl":"10.1002/tpg2.70303","url":null,"abstract":"<p><p>Eragrostis curvula is a forage grass species in which multiple cytotypes coexist and shifts between sexual and apomictic reproduction are common. This study investigates genetic variation among these cytotypes in relation to ploidy levels and reproductive modes. To this end, a panel of accessions was assembled to capture the species' intraspecific diversity. The panel was used to construct a whole-genome sequencing-based linear pangenome by iteratively mapping Illumina short reads and de novo assembling unmapped reads, thereby expanding the available reference genome and improving the representation of the species' gene pool. The panel and the resulting pangenome were then used for gene content detection, functional annotation, and variant calling. Using this approach, extensive variation in gene content was observed among E. curvula accessions, with polyploid cytotypes containing a higher fraction of newly assembled pangenome sequences than diploids. In addition, candidate genes associated with polyploidization and apomixis were identified. Polyploid-associated genes were mainly associated with cell-cycle regulation and DNA replication, whereas apomixis-associated genes were mainly associated with post-transcriptional regulation. Moreover, phylogenetic relationships among cytotypes were inferred, and allele-frequency distributions revealed ploidy-associated differences among accessions. Thus, this work identified candidate genes associated with polyploidy and apomictic reproduction, highlighting ploidy-associated changes in gene content and post-transcriptional regulatory processes and providing insights into how polyploidization and reproductive shifts have shaped genome evolution in this agamic grass species.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"19 3","pages":"e70303"},"PeriodicalIF":4.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13591433/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Natural variation in the atypical resistance gene Ptr confers broad-spectrum neck blast resistance in rice.","authors":"Ian Paul Navea, Mohammad Abdul Monsur, Mary Jeanie Telebanco-Yanoria, Dianne Gene De La Rosa, Sherry Lou Hechanova, Arvin Paul Tuaño, Christian Joseph Cumagun, Il-Ryong Choi, Suresh Kadaru, Sung-Ryul Kim, Bo Zhou, Van Schepler-Luu","doi":"10.1002/tpg2.70290","DOIUrl":"10.1002/tpg2.70290","url":null,"abstract":"<p><p>Neck blast (NB), caused by Magnaporthe oryzae, infects rice (Oryza sativa L.) and reduces yield. Knowledge of NB resistance remains limited due to the lack of reliable resistance evaluation methods. Here, we applied a newly established neck injection method and performed a genome-wide association study (GWAS) on 335 diverse accessions from the 3K Rice Genomes Project to identify loci associated with NB resistance. We detected a significant association on chromosome 12 (qNB1) explaining 15%-18% of the phenotypic variations caused by a highly virulent blast isolate (M64-1-3-9-1). Linkage disequilibrium analysis refined this region to a 42.3-kb interval containing Ptr, a known gene for leaf blast resistance. We found that two Ptr allelic variants, Ptr_a and Ptr_c, both harboring the variant A/G (Lys879) in the last exon (Chr12:10,833,400), are associated with NB resistance. IR64 and the CO39 near-isogenic line (NIL) (IRBLta2-Pi[CO]), both harboring Ptr_a, were resistant, whereas CRISPR-Cas9 knockout of Ptr_a in IR64 caused susceptibility to M64-1-3-9-1 and IK81-25 isolates. Furthermore, the CO39 near-isogenic line (IRBLta2-Pi[CO]) and Lijiangxintuanheigu monogenic line (IRBLta2-Pi) harboring the Ptr_a allele exhibited resistance to 75% (six of eight isolates) and 85% (17 of 20 isolates) of Philippine differential blast isolates, respectively. Haplotype analysis revealed a superior haplotype containing two major single-nucleotide polymorphism (SNPs; A/G and A/C at Chr12:10,833,400 and Chr12:10,845,095, respectively) and occurring in 83% of International Rice Research Institute (IRRI) elite indica breeding lines. These SNPs can be used to select NB-resistant genotypes with an accuracy of 86%. Our findings identify Ptr_a as a major contributor to NB resistance and provide a valuable genetic resource for developing blast-resistant rice.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"19 3","pages":"e70290"},"PeriodicalIF":4.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13492586/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148723919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodality, interaction modeling, and multimodule architectures in genomic prediction: A unified conceptual framework.","authors":"J Crossa, J Sun, A Montesinos-López, P Pérez-Rodríguez, P Vitale, S Pérez-Elizalde, R Howard, O A Montesinos López","doi":"10.1002/tpg2.70278","DOIUrl":"10.1002/tpg2.70278","url":null,"abstract":"<p><p>The rapid expansion of genomic, environmental, phenomic, and other high-dimensional data sources has transformed genomic prediction in plant breeding. However, the terms multimodal, interaction modeling, and multimodule architecture are often used inconsistently, generating ambiguity regarding whether they refer to biological assumptions, data integration strategies, or computational design. These dimensions are conceptually independent in the sense that none logically requires or implies the others. Interaction modeling may be implemented within a multimodule architecture, but modular computation does not inherently encode biological interaction. Multimodality refers strictly to the joint use of heterogeneous biological data sources; interaction modeling reflects explicit assumptions about biological dependencies such as genotype-by-environment effects; and multimodularity describes how computation is architecturally organized. We illustrate the proposed framework using conceptual and literature-based examples from wheat breeding, emphasizing interpretation rather than introducing new experimental results. By clarifying terminology and model design principles, this framework aims to improve methodological transparency, facilitate fair comparison among prediction approaches, and strengthen communication between quantitative geneticists, data scientists, and breeding practitioners. While often grouped under the umbrella of artificial intelligence, the approaches used here are more precisely framed as statistical learning methods designed to model and predict measurable genotype-environment-phenotype relationships rather than to generate synthetic or human-like outputs.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"19 3","pages":"e70278"},"PeriodicalIF":4.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13403215/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148580751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Focus on DnaJ protein research from Arabidopsis to crop improvement.","authors":"Muhammad Arif, Hafiz Mamoon Rehman, Sehrish Bashir, Noman Mahmood, Atul Kumar Srivastava, Yakov Kuzyakov, Moh Sajid Ansari, Hon-Ming Lam, Mingfang Yang","doi":"10.1002/tpg2.70291","DOIUrl":"10.1002/tpg2.70291","url":null,"abstract":"<p><p>DnaJ proteins (Hsp40s) are essential components of the cellular proteostasis network, functioning as molecular co-chaperones that regulate protein folding, stability, and stress-responsive homeostasis in plants. Beyond their classical role as Hsp70 partners, accumulating evidence demonstrates that DnaJ proteins participate in diverse biological processes by integrating proteostasis with hormonal, developmental, and defense signaling pathways. This review synthesizes recent advances in the structural diversity, evolutionary distribution, and functional specialization of DnaJ proteins across model plants and crops, including Arabidopsis, rice, maize, tomato, soybean, grapevine, citrus, cucumber, and other economically important species. We summarize mechanistic evidence demonstrating their involvement in abiotic stress tolerance, including heat, drought, salinity, osmotic, oxidative, and cold stress, through regulation of protein quality control, reactive oxygen species detoxification, ion homeostasis, abscisic acid and melatonin signaling, and transcriptional stress networks. Emerging studies further reveal their roles in biotic stress responses by modulating immune signaling, pathogen resistance, and host-microbe interactions, while additional evidence links DnaJ proteins to reproductive development, root architecture, chloroplast stability, fruit ripening, and postharvest quality maintenance. Advances in genome-wide identification, transcriptomic profiling, gene editing, transgenic validation, and functional genomics have substantially expanded understanding of DnaJ-mediated molecular networks and their contributions to climate resilience. By integrating mechanistic biology with translational breeding strategies, this review highlights DnaJ proteins as promising molecular targets for crop improvement and climate-smart agriculture aimed at increasing productivity, stress tolerance, and postharvest performance under changing environmental conditions.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"19 3","pages":"e70291"},"PeriodicalIF":4.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13493703/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148800485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A yield-reducing introgression linked to sd1 in rice.","authors":"Flavia Furlan, Brijesh Angira, Maria Montiel, Jonathan Richards, Tommaso Cerioli, Christopher Hernandez, Roberto Fritsche-Neto, John Platten, Jomar Punzalan, Susan McCouch, Kelly Robbins, Xueyan Sha, Adam Famoso","doi":"10.1002/tpg2.70295","DOIUrl":"10.1002/tpg2.70295","url":null,"abstract":"<p><p>The semi-dwarf (sd1) allele was central to the Green Revolution, but its widespread use in US tropical japonica rice (Oryza sativa L.) may have introduced unintended effects through linkage drag. This study examined the genomic region surrounding sd1 using genome-wide association and haplotype analyses in a multiparent population (MP6/8) evaluated across environments and in a biparental population (MP-D) for validation. Genomic and phenotypic evidence indicated that an indica-derived haplotype upstream of sd1 persists in US tropical japonica and global indica semi-dwarf germplasm and is associated with reduced grain yield. Genome-wide association analysis confirmed sd1 as the primary determinant of reduced plant height and identified a quantitative trait locus at 36.69 Mb upstream of sd1 that was consistently associated with reduced grain yield (0.6-0.9 t ha^-1) across populations and environments. Haplotype analysis identified an indica-derived Presidio haplotype spanning this upstream region was associated with significant yield reductions in both populations. Pedigree analysis traced this unfavorable haplotype to the Taichung Native 1 donor lineage, representing one historically deployed sd1-linked introgression class. Although its frequency has declined in modern cultivars, its persistence highlights the long-term impact of linkage drag following major trait introgression. These findings emphasize the value of marker-assisted selection and targeted recombination to separate favorable dwarfing alleles from linked yield penalties and sustain yield gains in US rice improvement programs.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"19 3","pages":"e70295"},"PeriodicalIF":4.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13504454/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finlay-Wilkinson random regression for yield and yield stability prediction in cereals.","authors":"Pablo Sandro, Justin Blancon, Jeffrey Neyhart, Julie Dawson, Lucia Gutiérrez","doi":"10.1002/tpg2.70269","DOIUrl":"10.1002/tpg2.70269","url":null,"abstract":"<p><p>Year-to-year climate variability poses a challenge for agriculture by increasing crop yield variability; therefore, there is a need to identify genotypes that can withstand these fluctuations. With the right selection criteria, genotypes with yield stability across variable environmental conditions can be selected. Methods such as Finlay-Wilkinson random regression (FWRR) may allow us to use sparse datasets-common in plant breeding pipelines-and incorporate genomic data to leverage phenotypic information from related genotypes to predict yield stability. Our objective was to examine how the number of environments and the variance among those environments affect stability predictions. We also integrate FWRR as a genomic prediction tool for characterizing yield stability, comparing it to the traditional genomic prediction models as a reference. We used three datasets: one highly unbalanced dataset for oats (Avena sativa L.) and two completely balanced datasets with different numbers of environments for barley (Hordeum vulgare L.) and wheat (Triticum aestivum L.). We fit standard Finlay-Wilkinson (FW) and FWRR models to estimate grain yield and stability under various scenarios. We found that the estimated stability values obtained were similar using balanced datasets for FW or FWRR. FWRR also achieved moderate predictive ability for stability using unbalanced datasets under 10-fold cross-validation (CV1) with new genotypes. In terms of environmental representation, selecting the right set of environments for inclusion in the model was more important than adding more environments. Our results suggest the possibility of using FWRR to select stable genotypes earlier in line development, as well as to design resource-efficient stability-testing schemes.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"19 3","pages":"e70269"},"PeriodicalIF":4.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13555820/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148913813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic analyses of leaf traits in an interspecific Zoysia japonica × Zoysia matrella F₂ population.","authors":"Shreena Pradhan, Thomas H Pendergast, John J Spiekerman, John H Lagergren, Daniel A Jacobson, Katrien M Devos","doi":"10.1002/tpg2.70282","DOIUrl":"10.1002/tpg2.70282","url":null,"abstract":"<p><p>Zoysiagrass (Zoysia spp.) is an important warm-season turfgrass cultivated across tropical, subtropical, and temperate regions of the world. The genus is characterized by the presence of salt-secreting glands on the adaxial leaf surface, which contribute to its high salt tolerance. In this study, we analyzed an interspecific F₂ population, derived from selfing an F₁ from a cross between Z. japonica acc. Meyer and Z. matrella acc. PI 231146, for variation in adaxial salt gland density, leaf width, and vein count. Using composite interval mapping with a previously constructed genetic map as a framework, we identified three quantitative trait loci (QTL) for leaf width, two QTL for vein count, and two QTL for salt gland density. We complemented the QTL analysis with bulked segregant RNA-seq (BSR-seq) to identify shared genomic regions and candidate genes for leaf width and salt gland density. BSR-seq identified four trait-associated regions, but only a single region identified for leaf width on Chr08 overlapped with a QTL for the same trait. We highlight putative candidate genes underlying the leaf width and salt gland density QTL and discuss their potential roles in leaf development. Together, the QTL and candidate genes provide an important resource for breeding stress-resilient Zoysia germplasm.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"19 3","pages":"e70282"},"PeriodicalIF":4.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13403221/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148580757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systematic prioritization of candidate genes in camptothecin biosynthesis using multi-omics and deep learning.","authors":"Shenqi Wang, Xing Wu, Maria Moreno, Joonseok Oh, Stephen L Dellaporta, Jason M Crawford, Farren J Isaacs","doi":"10.1002/tpg2.70284","DOIUrl":"10.1002/tpg2.70284","url":null,"abstract":"<p><p>Camptothecin (CPT), a plant-derived monoterpene indole alkaloid first identified in Camptotheca acuminata, is a drug precursor widely used for cancer chemotherapeutics. However, the full set of genes responsible for CPT biosynthesis remains unclear, hindering efforts to elucidate the complete pathway or establish biosynthetic production of CPT in heterologous hosts. In this study, we engineered an experimental callus system for inducible production of CPT, which enabled multi-omics and deep learning analyses to identify candidate genes in CPT biosynthesis. We first generated an improved genome assembly and gene annotation for C. acuminata. We then leveraged the natural variation of CPT levels in C. acuminata tissues and performed transcriptomic analysis of multiple callus and tissue types to shortlist candidate enzymes responsible for CPT biosynthesis. Finally, we conducted large-scale deep learning-enabled protein-ligand complex structure prediction to prioritize 117 candidate enzymes for studies that map their roles in CPT biochemical reactions. By integrating experimental, genomic, transcriptomic, and deep learning approaches, this study provides a valuable foundation for the complete elucidation of the CPT biosynthetic pathway.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"19 3","pages":"e70284"},"PeriodicalIF":4.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13459069/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148680697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}