ArticleNature communications2026
Two telomere-to-telomere Nelumbo genome assemblies reveal domestication history and empower precision breeding.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
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Who cites it
1 citing paper in PubMed.
- Two telomere-to-telomere Nelumbo genome assemblies reveal domestication history and empower precision breeding.Nature communications · 2026Article
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Authors and funding
13 authors.
Funding
Abstract
Lotus (Nelumbo) is an ancient aquatic plant of major ecological, economic, and cultural importance, yet its genomic architecture and domestication history remain incompletely resolved. Here, we generate telomere-to-telomere reference genomes for the two extant species, Asian lotus (N. nucifera) and American lotus (N. lutea). Comparative genomics analysis reveals divergence in centromeric regions and chromosomal structural variation between the two species. Population analysis of 832 globally distributed lotus accessions supports tropical Asia as the primary dispersal cradle of Asian lotus. We detect historical introgression events contributing to modern cultivated gene pools, and identify key loci regulating flower color variation and rhizome enlargement. To support research and breeding, we develop the Nelumbo Multi-omics Genome Platform (NMGP; http://182.92.235.125:18888/lotus/home/ ), integrating multi-omics data with a Pearson correlation-weighted Fusion of machine learning Models for Genomic Prediction (PFMGP) framework. These resources provide foundation for studying lotus evolution and genome-informed breeding.
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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.