Plant Genome最新文献

{"title":"Chromosome-level genome assembly of Iodes seguinii and its metabonomic implications for rheumatoid arthritis treatment.","authors":"Xun Gong, Hantao Zhang, Yinluo Guo, Shaoshuai Yu, Min Tang","doi":"10.1002/tpg2.20534","DOIUrl":"10.1002/tpg2.20534","url":null,"abstract":"<p><p>Iodes seguinii is a woody vine known for its potential therapeutic applications in treating rheumatoid arthritis (RA) due to its rich bioactive components. Here, we achieved the first chromosome-level assembly of the nuclear genome of I. seguinii using PacBio HiFi and chromatin conformation capture (Hi-C) sequencing data. The initial assembly with PacBio data produced contigs with an N50 length of 9.71 Mb, and Hi-C data anchored these contigs into 13 chromosomes, achieving a total length of 273.58 Mb, closely matching the estimated genome size. Quality assessments, including BUSCO, long terminal repeat assembly index, transcriptome mapping rates, and sequencing coverage, confirmed the high quality, completeness, and continuity of the assembly, identifying 115.28 Mb of repetitive sequences, 1062 RNA genes, and 25,270 protein-coding genes. Additionally, we assembled and annotated the 150,599 bp chloroplast genome using Illumina sequencing data, containing 121 genes including key DNA barcodes, with maturase K (matK) proving effective for species identification. Phylogenetic analysis positioned I. seguinii at the base of the Lamiales clade, identifying significant gene family expansions and contractions, particularly related to secondary metabolite synthesis and DNA damage repair. Metabolite analysis identified 84 active components in I. seguinii, including the discovery of luteolin, with 119 targets predicted for RA treatment, including core targets like AKT1, toll-like receptor 4 (TLR4), epidermal growth factor receptor (EGFR), tumor necrosis factor (TNF), TP53, NFKB1, janus kinase 2 (JAK2), BCL2, mitogen-activated protein kinase 1 (MAPK1), and spleen-associated tyrosine kinase (SYK). Key active components such as flavonoids and polyphenols with anti-inflammatory activities were highlighted. The discovery of luteolin, in particular, underscores its potential therapeutic role. These findings provide a valuable genomic resource and a scientific basis for the development and application of I. seguinii, addressing the genomic gap in the genus Iodes and the order Icacinales and underscoring the need for further research in genomics, transcriptomics, and metabolomics to fully explore its potential.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20534"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729983/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142740850","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":"Future of durum wheat research and breeding: Insights from early career researchers.","authors":"Amanda R Peters Haugrud, Ana Laura Achilli, Raquel Martínez-Peña, Valentyna Klymiuk","doi":"10.1002/tpg2.20453","DOIUrl":"10.1002/tpg2.20453","url":null,"abstract":"<p><p>Durum wheat (Triticum turgidum ssp. durum) is globally cultivated for pasta, couscous, and bulgur production. With the changing climate and growing world population, the need to significantly increase durum production to meet the anticipated demand is paramount. This review summarizes recent advancements in durum research, encompassing the exploitation of existing and novel genetic diversity, exploration of potential new diversity sources, breeding for climate-resilient varieties, enhancements in production and management practices, and the utilization of modern technologies in breeding and cultivar development. In comparison to bread wheat (T. aestivum), the durum wheat community and production area are considerably smaller, often comprising many small-family farmers, notably in African and Asian countries. Public breeding programs such as the International Maize and Wheat Improvement Center (CIMMYT) and the International Center for Agricultural Research in the Dry Areas (ICARDA) play a pivotal role in providing new and adapted cultivars for these small-scale growers. We spotlight the contributions of these and others in this review. Additionally, we offer our recommendations on key areas for the durum research community to explore in addressing the challenges posed by climate change while striving to enhance durum production and sustainability. As part of the Wheat Initiative, the Expert Working Group on Durum Wheat Genomics and Breeding recognizes the significance of collaborative efforts in advancing toward a shared objective. We hope the insights presented in this review stimulate future research and deliberations on the trajectory for durum wheat genomics and breeding.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20453"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11733671/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960444","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":"Combining genome-wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot.","authors":"William R Rolling, Shelby Ellison, Kevin Coe, Massimo Iorizzo, Julie Dawson, Douglas Senalik, Philipp W Simon","doi":"10.1002/tpg2.20560","DOIUrl":"10.1002/tpg2.20560","url":null,"abstract":"<p><p>Carrots (Daucus carota L.) are a rich source of provitamin A, namely, α- and β-carotene. Breeding programs prioritize increasing β-carotene content for improved color and nutrition. Understanding the genetic basis of carotenoid accumulation is crucial for implementing genomic-assisted selection to develop high-carotenoid lines. While previous studies identified loci (Y2, Y, Or, and REC) associated with carrot color and carotenoid content, this study employed genome-wide association (GWA) in a diverse panel of 738 carrot accessions. We discovered a novel locus with a candidate gene encoding phytoene synthase, a key enzyme in carotenoid biosynthesis. The Y2, Y, Or, and REC loci are mostly fixed in orange varieties, yet considerable variation in carotenoid concentration persists. This suggests a multigenic trait influenced by the environment. GWA of carotenoid concentration identified a quantitative trait locus for total carotenoids and α-carotene. We explored the accuracy of genomic prediction (GP) models to predict carotenoid concentration. We determined the optimal number of plants and plots required for accurate carotenoid phenotyping, finding ≥5 plants per plot and three plots per site as the minimum effective sample per accession. GP models achieved accuracies ranging from 0.06 to 0.40 depending on the carotenoid measured and environment the carrots were assayed. Additional studies in breeding programs will clarify the potential of genomic-assisted selection for high-carotenoid carrots.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"18 1","pages":"e20560"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11782711/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143067704","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":"Combined transcriptomic and metabolomic analyses reveal the pharmacognostic mechanism of the metabolism of flavonoids in different parts of Polygonum capitatum.","authors":"Jie Yang, Yu Zhang, Bu-Fa Guo, Qi-Lun Peng, Hong-Yu Chen, Mao Ye, Wei Yi, Wei-Jun Ding","doi":"10.1002/tpg2.20543","DOIUrl":"10.1002/tpg2.20543","url":null,"abstract":"<p><p>The plant Polygonum capitatum (P. capitatum) contains a variety of flavonoids that are distributed differently among different parts. Nevertheless, differentially expressed genes (DEGs) associated with this heterogeneous distribution have not been identified. In this study, combined with transcriptomic and metabonomic analysis, we identified significant DEGs related to variations in flavonoid composition among different parts of P. capitatum. Subsequently, transcriptomic and nontargeted metabolomic analyses revealed that flavonoids and phenolic acids in different parts of P. capitatum were significantly enriched in the phenylpropanoid biosynthesis, shikimic acid biosynthesis, and flavonoid biosynthesis pathways. The expression levels of genes encoding enzymes, including shikimate O-hydroxycinnamoyltransferase (HCT), chalcone synthase (CHS), flavonoid 3',5'-hydroxylase (CYP75A), flavones 3-hydroxylase (F3H), flavonol synthase (FLS), leucoanthocyanidin reductase (LAR), trans-cinnamate 4-monooxygenase (CYP73A), and shikimate kinase (SK), were found to be the lowest in the leaves of P. capitatum via quantitative PCR. Interestingly, these genes are involved in the biosynthesis of quality markers such as gallic acid, quercetin, and quercitrin in P. capitatum. Finally, the targeted metabolomic results reconfirmed that the gallic acid, quercetin, and quercitrin contents were the highest in the leaves of P. capitatum. This research provides a theoretical basis for further understanding the differential regulatory mechanism of flavonoid metabolism in different parts of P. capitatum, providing novel insights into the pharmacognostic basis of P. capitatum.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"18 1","pages":"e20543"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729211/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142980357","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":"Leveraging historical trials to predict Fusarium head blight resistance in spring wheat breeding programs.","authors":"Charlotte Brault, Emily J Conley, Andrew J Green, Karl D Glover, Jason P Cook, Harsimardeep S Gill, Andrew C Read, Jason D Fiedler, James A Anderson","doi":"10.1002/tpg2.20559","DOIUrl":"10.1002/tpg2.20559","url":null,"abstract":"<p><p>Fusarium head blight (FHB) is a fungal disease posing a major threat to wheat production. Plant breeding that leverages genotyping is an effective method to improve the genetic resistance of cultivars. Started in 1995, the uniform regional scab nursery (URSN) consists of germplasm from several public breeding programs in the Northern US region. Its main objective is to showcase new sources of resistance and enable germplasm exchange among the cooperators; however, the data from the URSN have not been studied. Phenotypic and genotypic data from this nursery were gathered, as well as from two current breeding programs in the US Midwest. Genomic prediction on eight traits related to FHB and agronomic traits was applied, and the effects of statistical method, marker density, training set size, genetic structure, and genetic architecture of the trait were studied. Using the URSN population, reproducing kernel Hilbert space was the best method in various prediction settings, with an average accuracy of 0.63, marker density could be as low as 500 without decreasing the prediction accuracy, and training set optimization was useful for two traits. Furthermore, genotypic values were predicted in breeding programs using the URSN population as a training set with various prediction scenarios. Predicting unrelated populations led to a significant decrease in accuracy but with encouraging values for some traits and populations. Ultimately, when progressively decreasing the number of lines from breeding populations in the training set, the advantage of adding the URSN population was more pronounced, with an increase in accuracy up to 0.19.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"18 1","pages":"e20559"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11800066/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143256711","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":"Using genome-wide associations and host-by-pathogen predictions to identify allelic interactions that control disease resistance.","authors":"Owen Hudson, Jeremy Brawner","doi":"10.1002/tpg2.70006","DOIUrl":"10.1002/tpg2.70006","url":null,"abstract":"<p><p>Characterizing the molecular mechanisms underlying disease symptom expression has been used to improve human health and disease resistance in crops and animal breeds. Quantitative trait loci and genome-wide association studies (GWAS) are widely used to identify genomic regions that are involved in disease progression. This study extends traditional GWAS significance tests of host and pathogen marker main effects by utilizing dual-genome reaction norm models to evaluate the importance of host-single nucleotide polymorphism (SNP) by pathogen-SNP interactions. Disease symptom severity data from Fusarium ear rot (FER) on maize (Zea mays L.) is used to demonstrate the use of both genomes in genomic selection models for breeding and the identification of loci that interact across organisms to impact FER disease development. Dual genome prediction models improved heritability estimates, error variances, and model accuracy while providing predictions for host-by-pathogen interactions that may be used to test the significance of SNP-SNP interactions. Independent GWAS for maize and Fusarium populations identified significantly associated loci and predictions that were used to evaluate the importance of interactions using two different association tests. Predictions from dual genome models were used to evaluate the significance of the SNP-SNP interactions that may be associated with population structure or polygenic effects. As well, association tests incorporating host and pathogen markers in models that also included genomic relationship matrices were used to account for population structure. Subsequent evaluation of protein-protein interactions from candidate genes near the interacting SNPs provides a further in silico evaluation method to expedite the identification of interacting genes.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"18 1","pages":"e70006"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11850958/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143494402","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":"Genome-wide identification of WOX family members in rose and functional analysis of RcWUS1 in embryogenic transformation.","authors":"Xue Bai, Qi Fu, Weikun Jing, Hao Zhang, Hongying Jian, Xianqin Qiu, Hongjie Li, Qigang Wang, Shunting Yang, Yiping Zhang, Huichun Wang, Lihua Wang, Kaixue Tang, Ying Bao, Huijun Yan","doi":"10.1002/tpg2.70012","DOIUrl":"10.1002/tpg2.70012","url":null,"abstract":"<p><p>WUSCHEL-related homeobox (WOX) is a class of plant-specific transcription factors and plays vital roles in plant development and evolution. Here, we analyzed WOX family genes of three Rosa species and explored their potential functions in Rosa. A total of 351 WOX genes were identified from Rosa chinensis 'Old Blush' (208), Rosa wichuraiana 'Basye's Thornless' (21) and Rosa rugosa (122). The WOX genes were found to significantly expand in Rosa compared to Arabidopsis. Phylogenetic analysis showed that Rosa WOXs genes were classified into an ancient clade, an intermediate clade, and a WUS clade. Collinearity analysis suggested that gene duplication and purifying selection might be important driving forces in the evolution of WOXs. Expression patterns of WOXs found that higher levels of RcWUS1 expression were detected at the shoot apex somatic embryos. Furthermore, we found that RcWUS1 was a transcriptional repressor located in the nucleus. Overexpression of RcWUS1 enhanced the regeneration efficiency of somatic embryos. In summary, our results indicated the functional potential of RcWUS1 in embryogenic transformation, which can be further utilized to improve the genetic transformation efficiency in rose.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"18 1","pages":"e70012"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11873168/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537994","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":"Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi-environment genomic prediction models incorporating spectral and thermal information.","authors":"Jordan McBreen, Md Ali Babar, Diego Jarquin, Naeem Khan, Steve Harrison, Noah DeWitt, Mohamed Mergoum, Ben Lopez, Richard Boyles, Jeanette Lyerly, J Paul Murphy, Ehsan Shakiba, Russel Sutton, Amir Ibrahim, Kimberly Howell, Jared H Smith, Gina Brown-Guedira, Vijay Tiwari, Nicholas Santantonio, David A Van Sanford","doi":"10.1002/tpg2.20532","DOIUrl":"10.1002/tpg2.20532","url":null,"abstract":"<p><p>Enhancing predictive modeling accuracy in wheat (Triticum aestivum) breeding through the integration of high-throughput phenotyping (HTP) data with genomic information is crucial for maximizing genetic gain. In this study, spanning four locations in the southeastern United States over 3 years, models to predict grain yield (GY) were investigated through different cross-validation approaches. The results demonstrate the superiority of multivariate comprehensive models that incorporate both genomic and HTP data, particularly in accurately predicting GY across diverse locations and years. These HTP-incorporating models achieve prediction accuracies ranging from 0.59 to 0.68, compared to 0.40-0.54 for genomic-only models when tested under different prediction scenarios both across years and locations. The comprehensive models exhibit superior generalization to new environments and achieve the highest accuracy when trained on diverse datasets. Predictive accuracy improves as models incorporate data from multiple years, highlighting the importance of considering temporal dynamics in modeling approaches. The study reveals that multivariate prediction outperformed genomic prediction methods in predicting lines across years and locations. The percentage of top 25% lines selected based on multivariate prediction was higher compared to genomic-only models, indicated by higher specificity, which is the proportion of correctly identified top-yielding lines that matched the observed top 25% performance across different sites and years. Additionally, the study addresses the prediction of untested locations based on other locations within the same year and in new years at previously tested locations. Findings show the comprehensive models effectively extrapolate to new environments, highlighting their potential for guiding breeding strategies.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20532"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11726420/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142677430","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":"Camelina circRNA landscape: Implications for gene regulation and fatty acid metabolism.","authors":"Delecia Utley, Brianne Edwards, Asa Budnick, Erich Grotewold, Heike Sederoff","doi":"10.1002/tpg2.20537","DOIUrl":"10.1002/tpg2.20537","url":null,"abstract":"<p><p>Circular RNAs (circRNAs) are closed-loop RNAs forming a covalent bond between their 3' and 5' ends, the back splice junction (BSJ), rendering them resistant to exonucleases and thus more stable compared to linear RNAs. Identification of circRNAs and distinction from their cognate linear RNA is only possible by sequencing the BSJ that is unique to the circRNA. CircRNAs are involved in the regulation of their cognate RNAs by increasing transcription rates, RNA stability, and alternative splicing. We have identified circRNAs from C. sativa that are associated with the regulation of germination, light response, and lipid metabolism. We sequenced light-grown and etiolated seedlings after 5 or 7 days post-germination and identified a total of 3447 circRNAs from 2763 genes. Most circRNAs originate from a single homeolog of the three subgenomes from allohexaploid camelina and correlate with higher ratios of alternative splicing of their cognate genes. A network analysis shows the interactions of select miRNA:circRNA:mRNAs for regulation of transcript stabilities where circRNA can act as a competing endogenous RNA. Several key lipid metabolism genes can generate circRNA, and we confirmed the presence of KASII circRNA as a true circRNA. CircRNA in camelina can be a novel target for breeding and engineering efforts.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20537"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11726430/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830617","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":"Developing resistance to Fusarium wilt in chickpea: From identifying meta-QTLs to molecular breeding.","authors":"Jahad Soorni, Fatemeh Loni, Parisa Daryani, Nazanin Amirbakhtiar, Leila Pourhang, Hamid Reza Pouralibaba, Hamid Hassaneian Khoshro, Hadi Darzi Ramandi, Zahra-Sadat Shobbar","doi":"10.1002/tpg2.70004","DOIUrl":"10.1002/tpg2.70004","url":null,"abstract":"<p><p>Fusarium wilt (FW) significantly affects the growth and development of chickpea (Cicer arietinum L.), leading to substantial economic losses. FW resistance is a quantitative trait that is controlled by multiple genomic regions. In this study, a meta-analysis was conducted on 32 quantitative trait loci (QTLs) associated with FW resistance, leading to the identification of seven meta-QTL (MQTL) regions distributed across CaLG2, CaLG4, CaLG5, and CaLG6 of the chickpea linkage groups. The integrated analysis revealed several candidate genes potentially important for FW resistance, including genes associated with sensing (e.g., LRR-RLK), signaling (e.g., mitogen-activated protein kinase [MAPK1]), and transcription regulation (e.g., NAC, WRKY, and bZIP). Subsequently, a marker-assisted backcrossing (MABC) trial was executed leveraging the MQTL outcomes to introgress FW resistance from an FW-resistant chickpea cultivar (Ana) into a superior high-yielding Kabuli cultivar (Hashem). The breeding process was extended over 5 years (2018-2023) and resulted in the development of BC₃F₂ genotypes. Consequently, 12 genotypes carrying homozygous resistance alleles were chosen, with three genotypes showing genetic backgrounds matching 90%-96% of the recurrent parent. The findings of this study have significant implications for upcoming programs, encompassing fine-mapping, marker-assisted breeding, and genetic engineering, consequently contributing to the effective control of FW and the improved production of chickpea.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":"18 1","pages":"e70004"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11885688/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143574602","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}