A multi-tissue transcriptome strategy for genomic resource development in Pinus edulis
Premise:: Conifers comprise one-sixth of global forests and landscape genomic studies are urgently needed to understand their biology, yet relatively few conifer species have reference genomes. Targeted exon-capture is a practical alternative to whole-genome sequencing, but selecting loci without a reference genome remains a barrier. We developed a multi-tissue reference transcriptome for pi non…
In a significant advancement for conifer genomic research, a multi-tissue transcriptome strategy has been developed for piñon pine (Pinus edulis). This approach, which assembles a reference transcriptome from four diploid tissues (needle, phloem, root, vegetative bud) and one haploid tissue (megagametophyte), could prove valuable for other non-model plants with large genomes.
The strategy was designed to enhance probe design and address the challenge of selecting loci without a reference genome, a common barrier in targeted exon-capture methods. By prioritizing highly expressed P. edulis transcripts and those matching a conifer exon database, the researchers were able to design a probe-set that recovered 76% of conserved plant genes, with minimal duplication.
Further filtering resulted in a total of 15,664 transcripts, spanning approximately 31.4 Mb, which is less than 0.1% of the genome. These transcripts were found to exhibit tissue-specific expression, with 27.4% occurring exclusively in non-needle tissues. Functional annotation revealed that the transcriptome includes complementary contributions from various tissues, such as seed-desiccation and germination genes from megagametophytes, as well as defense- and stress-associated genes from roots and phloem.
This multi-tissue approach not only provides a comprehensive view of the P. edulis transcriptome but also serves as a roadmap for future studies on other non-model plants with large genomes.
Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.