Association genetics of oleoresin flow in loblolly pine: discovering genes and predicting phenotype for improved resistance to bark beetles and bioenergy potential. Issue 1 (28th March 2013)

• Record Type: Journal Article
• Authors: Westbrook, Jared W.; Resende, Marcio F. R.; Munoz, Patricio; Walker, Alejandro R.; Wegrzyn, Jill L.; Nelson, C. Dana; Neale, David B.; Kirst, Matias; Huber, Dudley A.; Gezan, Salvador A.; Peter, Gary F.; Davis, John M.
• Is Part Of: New phytologist. Volume 199:Issue 1(2013)
• Page Start: 89
• Page End: 100
• Publication Date: 2013-03-28
• Subjects: Botany -- Periodicals; 580
• DOI: 10.1111/nph.12240
• Languages: English
• ISSNs: 0028-646X

Abstract

<abstract abstract-type="main" id="nph12240-abs-0001"> <title>Summary</title> <p> <list id="nph12240-list-0001" list-type="bullet"> <list-item> <p>Rapidly enhancing oleoresin production in conifer stems through genomic selection and genetic engineering may increase resistance to bark beetles and terpenoid yield for liquid biofuels.</p> </list-item> <list-item> <p>We integrated association genetic and genomic prediction analyses of oleoresin flow (g 24 h<sup>−1</sup>) using 4854 single nucleotide polymorphisms (SNPs) in expressed genes within a pedigreed population of loblolly pine (<italic>Pinus taeda</italic>) that was clonally replicated at three sites in the southeastern United States.</p> </list-item> <list-item> <p>Additive genetic variation in oleoresin flow (<italic>h</italic><sup>2</sup> ≈ 0.12–0.30) was strongly correlated between years in which precipitation varied (<italic>r</italic><sub>a</sub> ≈ 0.95), while the genetic correlation between sites declined from 0.8 to 0.37 with increasing differences in soil and climate among sites. A total of 231 SNPs were significantly associated with oleoresin flow, of which 81% were specific to individual sites. SNPs in sequences similar to ethylene signaling proteins, ABC transporters, and diterpenoid hydroxylases were associated with oleoresin flow across sites.</p> </list-item> <list-item> <p>Despite this complex genetic architecture, we developed a genomic prediction model to accelerate breeding for enhanced oleoresin flow that is robust to environmental variation. Results imply that breeding could increase oleoresin flow 1.5‐ to 2.4‐fold in one generation.</p> </list-item> </list> </p> </abstract>