ArticlePlant communications2026
Reverse BSA-QTLseq: A new genotype-driven bioinformatics approach for simultaneous trait mapping.
Article in Plant communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Temporal GWAS and QTL mapping of UAV-derived digital canopy height reveals stage-specific genetic effects in bread wheat.Plant phenomics (Washington, D.C.) · 2026Article
- DArTseq molecular markers associated with water stress tolerance and size reduction in citrandarins rootstocks.Frontiers in plant science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Bulked segregant analysis (BSA) is a widely used method for identifying genomic loci associated with traits of interest in crops. However, conventional BSA is limited by its reliance on phenotype-driven bulk sampling, which restricts its scalability and confines its applicability to single-trait analysis. This study introduces a novel method, reverse BSA-QTLseq, which uses genotype-driven bulk reconstruction through bioinformatics, enabling the simultaneous mapping of multiple traits from the same genotypic dataset. Reverse BSA-QTLseq uses a two-step strategy-low-resolution genotyping of the entire population followed by high-resolution sequencing of selected bulks-enabling cost-effective identification of genetically divergent lines to enhance the discovery of quantitative trait loci (QTLs). Using a bread wheat recombinant inbred line (RIL) population as a case study, we mapped loci associated with heading date and plant height , confirming approximately 95% of known QTLs, including both dwarfing genes (e.g., Rht-B1 and Rht-5) and flowering-time regulators (e.g., Vrn-A1), and identified novel QTLs and candidate loci with strong phenotypic effects. The phased genotyping strategy maximized genetic distance in the initial sampling, facilitating the in silico reconstruction of trait-specific contrasting bulks. Integration of transcriptional profiles from the parental lines of the RIL population, from which the bulks were derived, aided in identifying candidate genes and regulatory networks underlying the variation of traits such as photoperiod response, nutrient transport, and stress adaptation. The versatility and potential for data reuse offered by the proposed method represent a significant advancement in QTL mapping, with broad implications for marker-assisted breeding and selection programs. Future integration of transcriptomic and epigenomic data is expected to further enhance the power of reverse BSA-QTLseq, accelerating genetic improvement in crops.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.