Association of the phenylpropanoid pathway with dormancy and adaptive trait variation in apricot (Prunus armeniaca)

Author:

Conrad Anna O1,Yu Jiali2,Staton Margaret E3,Audergon Jean-Marc4,Roch Guillaume5,Decroocq Veronique6,Knagge Kevin7,Chen Huadong7,Zhebentyayeva Tetyana8,Liu Zongrang9,Dardick Christopher9,Nelson C Dana1011,Abbott Albert G1

Affiliation:

1. Forest Health Research and Education Center, University of Kentucky, Lexington, KY 40546, USA

2. Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37996, USA

3. Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN 37996, USA

4. UR1052 GAFL Fruit and Vegetable Genetics and Breeding, INRA Centre PACA, Domaine St Maurice, 67 allée des chênes, CS60094, 84143 Montfavet Cedex, France

5. CEP Innovation, 23 rue Jean Baldassini, 69364 Lyon Cedex 07, France

6. UMR 1332 Biologie du Fruit et Pathologie, INRA, Univ. Bordeaux, 71 Av. E. Bourlaux, CS 20032, 33883 Villenave d’Ornon Cedex, France

7. David H. Murdock Research Institute, Kannapolis, NC 28081, USA

8. The Schatz Center for Tree Molecular Genetics, Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, PA 16802, USA

9. Appalachian Fruit Research Station, United States Department of Agriculture—Agriculture Research Service, Kearneysville, WV 25430, USA

10. Forest Health Research and Education Center, Southern Research Station, United States Department of Agriculture—Forest Service, Lexington, KY 40546, USA

11. Southern Institute of Forest Genetics, Southern Research Station, United States Department of Agriculture—Forest Service, Saucier, MS 39574, USA

Abstract

Abstract Trees use many mechanisms to adapt and respond to stressful conditions. The phenylpropanoid pathway in particular is known to be associated with a diverse suite of plant stress responses. In this study, we explored the relationship between the phenylpropanoid pathway metabolite production, gene expression and adaptive trait variation associated with floral bud reactivation during and following dormancy in Prunus armeniaca L. (apricot). Concentrations of eight phenylpropanoid metabolites were measured during chill accumulation and at developmental stages corresponding to the emergence of sepals and petals in floral buds of varieties that differ phenotypically in bloom date (BD). A significant interaction effect of chill hours and BD phenotype on the concentration of each of the compounds was observed (mixed analysis of variance, P < 0.05), with the concentration of most phenylpropanoid metabolites dropping precipitously when sepals and petals emerged. While phenylpropanoid biosynthetic gene expression patterns were more variable in general, expression changed over time and was impacted, although to a lesser degree, by BD phenotype. Furthermore, separation of BD phenotypic groups was most pronounced when early and late BD varieties were at different developmental stages, i.e., 800 chill hours. Taken together, these results suggest that the phenylpropanoid pathway is associated with floral bud reactivation in apricot. Furthermore, we show that the phenylpropanoid pathway is also impacted by phenological trait variation associated with dormancy. A better understanding of how apricot and other perennial tree species respond and adapt to environmental perturbations will be critical for improvement programs aimed at identifying and breeding trees more suitable for rapidly changing environments.

Funder

Agriculture and Food Research Initiative Competitive

National Institute of Food and Agriculture

Office of Experimental Program to Stimulate Competitive Research

University of Kentucky

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Physiology

Reference57 articles.

1. HTSeq—a Python framework to work with high-throughput sequencing data;Anders;Bioinformatics,2015

2. Understanding dormancy release in apricot flower buds (Prunus armeniaca L.) using several process-based phenological models;Andreini;Agric For Meteorol,2014

3. FastQC: a quality control tool for high throughput sequence data;Andrews,2010

4. Variety and breeding;Audergon;Acta Hortic X Int Symp Apric Cult,1993

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3