Baio Huaxing
MultiTrait BSA
Baio Huaxing has recently launched the MultiTrait BSA service, which utilizes bioinformatics and genotype-driven pooled reconstruction to simultaneously locate multiple traits from the same genotype dataset. Compared to traditional BSA, this method is cost-effective and has a shorter cycle, allowing breeders to quickly identify key genes for multiple agronomic traits, providing a continuous and efficient technical driving force for molecular breeding.
Workflow Comparison
Traditional BSA constructs mixed pools based on extreme values of a single trait phenotype, followed by sequencing and comparative analysis, making it suitable only for single traits. In contrast, MultiTrait BSA adopts a “genotype-driven” process: first, individuals with the greatest genetic background differences are selected for separate sequencing based on whole-genome SNP data (e.g., PCA analysis). After obtaining the data, computer virtual pooled reconstruction and analysis can be flexibly performed based on any target trait, making it applicable to multiple traits.
BSA (left) and MultiTrait BSA (right) flowchart[1]
Technical Route
Product Advantages
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Can achieve simultaneous analysis of dozens of traits such as agronomic, quality, and disease resistance, greatly accelerating the breeding process;
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Cost-effective, high data utilization, with one sequencing usable for unlimited future analyses of any new traits;
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Core materials are scientifically selected based on whole-genome genetic divergence, with high sensitivity and accuracy for QTL detection.
References:
1.Esposito S, D’Agostino N, Taranto F, et al. Reverse BSA-QTLseq: a new genotype-driven bioinformatics approach for simultaneous trait mapping. Plant Commun. 2025 Nov 7:101588. doi: 10.1016/j.xplc.2025.101588.
About Baio Huaxing
Baio Huaxing was founded in 2023, focusing on AI and gene editing. With strong research capabilities, proprietary platforms, and data resources, it develops gene editing tools and AI algorithm models, aiming to create breakthrough breeding technologies. Team members have led over ten national fund projects and developed multiple new varieties. Core staff have over ten years of industry experience, applying for more than ten patents related to core technologies in gene editing and intelligent breeding, and have published dozens of articles in academic journals such as NG, NC, PNAS, and MP, receiving qualifications such as “National High-tech Enterprise,” “Integrity Demonstration Unit,” “National Science Small,” and “Innovative SMEs.”
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