Original data of chloroplast genomes of 3 Ulmus pumila cultivars ('Xu Ri', 'Yang Gang', and 'Zhao Yang')

The raw FASTQ files are provided per cultivar and contain unprocessed reads with quality scores suitable for downstream analysis. Data Interpretation and Usage The data can be interpreted and utilized in several ways: Cultivar identification: Identified SNPs and SSRs can be developed into molecular markers for rapid and accurate discrimination of U. pumila cultivars, aiding in nursery quality control and intellectual property protection.

Breeding and conservation: Insights into genetic diversity and relatedness among cultivars can inform cross-breeding strategies for improved traits and guide conservation of elite germplasm. Comparative genomics: Alignments among cultivars will reveal mutation hotspots and structural variants, contributing to understanding chloroplast genome evolution under domestication and selection. Raw data serves as a valuable resource for testing assembly algorithms and teaching plant organellar genomics.

Researchers should process raw reads using standard QC tools (FastQC, Trimmomatic) followed by assembly with GetOrganelle or NOVOPlasty. Assemblies should be validated by read mapping and coverage analysis. The data are shared to promote reproducibility and enable broader comparative studies within Ulmus.