ArticleNature communications2026
The Camellia sinensis var. sinensis cv. Fuding Dabaicha genome unveils structural variation-driven metabolic innovation.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tea plants possess a highly heterozygous genome and produce diverse beneficial metabolites, yet the genomic basis of its metabolic diversity remains fully elusive. Here, we show that single-cell sequencing of 107 sperm cells, combined with PacBio HiFi and ONT ultra-long sequencing, enables an accurate haplotype-resolved genome assembly of Fuding Dabaicha (FDDB). Structural variations (SVs) between the two haplotypes comprise 23.8% of the genome and strongly influence crossover patterns. Using these phased genomes, we establish a half-sib-based QTL mapping platform and identify a Gypsy LTR insertion in the promoter of CsDFRb, which associated with the increasing of p-coumaroylquinate levels in young leaves. Moreover, mGWAS reveals 2649 additional loci associated with 2837 metabolites when using the FDDB genome rather than the 'Tieguanyin' reference genome for variant calling. Functional validation of CsC3H and CsST2Ac confirms their role in determining chlorogenic acid and sulfated metabolite levels in tea plant. In addition, we observe that allelic heterogeneity at CsST2Ac affects sulfated metabolite abundance. These phased genomes illuminate how SVs drive metabolic diversity and offer valuable resources for tea breeding.
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.