ArticleFrontiers in plant science2021
Identification of Novel Quantitative Trait Nucleotides and Candidate Genes for Bacterial Wilt Resistance in Tobacco (
Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Genome-wide associations of leaf spectral variation in MAGIC lines of Nicotiana attenuata.Ecology · 2026Article
- Spatiotemporal reprogramming of auxin signaling and resistance outputs across model plants and solanaceae crops underFrontiers in plant science · 2026Review
- Identification of Leaf Rust-Related Gene Signature in Wheat (Triticum Aestivum L.) Using High-Throughput Sequencing, Network Analysis, and Machine Learning Algorithms.Rice (New York, N.Y.) · 2025Article
- Identifying SSR/InDel loci related to tobacco bacterial wilt resistance using association mapping.Heliyon · 2024Article
- Intestinal metabolomics in premature infants with late-onset sepsis.Scientific reports · 2024Article
- Superiority of native seed core microbiomes in the suppression of bacterial wilt disease.Frontiers in microbiology · 2024Article
- Uncovering the transcriptional responses of tobacco (Nicotiana tabacum L.) roots to Ralstonia solanacearum infection: a comparative study of resistant and susceptible cultivars.BMC plant biology · 2023Article
- Genome-wide identification and development of InDel markers in tobacco (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022Article
- Comprehensive transcriptome analysis reveals heat-responsive genes in flowering Chinese cabbage (Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tobacco bacterial wilt (TBW) is a devastating soil-borne disease threatening the yield and quality of tobacco. However, its genetic foundations are not fully understood. In this study, we identified 126,602 high-quality single-nucleotide polymorphisms (SNPs) in 94 tobacco accessions using genotyping-by-sequencing (GBS) and a 94.56 KB linkage disequilibrium (LD) decay rate for candidate gene selection. The population structure analysis revealed two subpopulations with 37 and 57 tobacco accessions. Four multi-locus genome-wide association study (ML-GWAS) approaches identified 142 quantitative trait nucleotides (QTNs) in E1-E4 and the best linear unbiased prediction (BLUP), explaining 0.49-22.52% phenotypic variance. Of these, 38 novel stable QTNs were identified across at least two environments/methods, and their alleles showed significant TBW-DI differences. The number of superior alleles associated with TBW resistance for each accession ranged from 4 to 24; eight accessions had more than 18 superior alleles. Based on TBW-resistant alleles, the five best cross combinations were predicted, including MC133 × Ruyuan No. 1 and CO258 × ROX28. We identified 52 candidate genes around 38 QTNs related to TBW resistance based on homologous functional annotation and KEGG enrichment analysis, e.g.,
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