BSA-seq integrated with transcriptomics and metabolomics revealing the candidate genes associated with safflower colors and flavonoid glycosides biosynthesis.

Haotian Wang, Beixuan He, Shuyi Qi, Yue Gao, Xin Dong, Meili Guo

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Article in Horticulture research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

6 authors.

Haotian WangDepartment of Pharmacognosy, College of Pharmacy, Naval Medical University, Shanghai 200433, China.

Beixuan HeDepartment of Pharmacognosy, College of Pharmacy, Naval Medical University, Shanghai 200433, China.

Shuyi QiDepartment of Pharmacognosy, College of Pharmacy, Naval Medical University, Shanghai 200433, China.

Yue GaoDepartment of Pharmacognosy, College of Pharmacy, Naval Medical University, Shanghai 200433, China.

Xin DongSchool of Medicine, Shanghai University, Shanghai 200444, China.

Meili GuoDepartment of Pharmacognosy, College of Pharmacy, Naval Medical University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Safflower is featured with time-honored medical and economic values and developing into diverse phenotypic and genetic variations. In this study, to explore the critical genes associated with color phenotypes and flavonoid derivatives biosynthesis of safflower, BSA-seq, conflated with transcriptomic and metabolic methods were performed in two extreme colors (yellow and white) in the population of 'ZHH0119' and 'XHH007.' After crossing two parent plants reciprocally, the F

Identifiers

PMID42292962

DOI10.1093/hr/uhag068

PMCPMC13253347

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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 OpenQuestion graph.