RNAseq based variant dataset in a black poplar association panel

Area of Science:

• Plant genomics
• Ecology
• Bioinformatics

Background:

• Black poplar (Populus nigra L.) is an ecologically significant tree species native to Eurasia.
• It serves as a crucial parent for cultivated poplar hybrids.
• Understanding its genetic diversity is vital for conservation and breeding.

Purpose of the Study:

• To detect genetic variants in natural populations of black poplar.
• To provide a valuable dataset for population structure and genomics studies.
• To facilitate genome-wide association studies in black poplar.

Main Methods:

• Generated transcriptomics data from xylem and cambium tissues of 241 P. nigra genotypes.
• Utilized RNA sequencing (RNAseq) technology for data generation.
• Developed an in-silico pipeline to identify 878,957 biallelic polymorphisms.

Main Results:

• Identified 878,957 biallelic polymorphisms from transcriptomics data.
• Over 99% of detected variants are annotated.
• 98.8% of variants map to the P. trichocarpa reference genome.
• Data is publicly available for further research.

Conclusions:

• The study provides a comprehensive variant dataset for black poplar.
• This resource is essential for advancing population genomics and genetic studies.
• Facilitates future research on black poplar adaptation and breeding.