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Related Experiment Video

Updated: Feb 13, 2026

An Improved Method of RNA Isolation from Loblolly Pine P. taeda L. and Other Conifer Species

An Improved Method of RNA Isolation from Loblolly Pine P. taeda L. and Other Conifer Species

Published on: February 22, 2010

Comparative Transcriptomics Among Four White Pine Species.

Ethan A G Baker¹, Jill L Wegrzyn², Uzay U Sezen¹

¹Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT.

G3 (Bethesda, Md.)

|March 22, 2018

Summary

This summary is machine-generated.

This study characterized needle transcriptomes of four North American white pine species. It identified conserved and unique genes, providing insights into conifer adaptation and resistance to environmental stressors.

Keywords:

Pinus albicaulis Pinus flexilis Pinus lambertiana Pinus monticola de novo transcriptome assembly five-needle pines white pines wpbr

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Last Updated: Feb 13, 2026

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Published on: February 22, 2010

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Published on: September 19, 2011

Area of Science:

Plant genomics
Forest ecology
Bioinformatics

Background:

Conifers are ecologically and economically vital global forest dominants.
North American white pines (subgenus Strobus) face threats from pathogens, insects, and climate change.
These species are understudied, necessitating genomic characterization.

Purpose of the Study:

To characterize needle transcriptomes of four key North American white pine species.
To identify shared and unique gene families among these species.
To investigate candidate genes related to stress tolerance and disease resistance.

Main Methods:

RNA sequencing of needles from four white pine species (Pinus monticola, P. flexilis, P. albicaulis, P. lambertiana).
De novo transcriptome assembly and annotation using custom bioinformatics pipelines.
Orthologous gene family analysis (Tribe-MCL) to compare gene space and estimate divergence.

Main Results:

Over 58,000 translated transcripts were analyzed.
2025 conserved gene families were identified across the four species.
408 gene families were aligned to assess divergence and selection patterns, with a focus on drought and disease resistance genes.

Conclusions:

The study provides a foundational genomic resource for understudied white pines.
Comparative transcriptomics reveals insights into conifer adaptation and resilience.
Identified candidate genes can inform conservation and breeding strategies for threatened pine populations.