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在多个桉树家系和环境中,生长和木材性质的数量性状位点的稳定性。

Stability of quantitative trait loci for growth and wood properties across multiple pedigrees and environments in Eucalyptus globulus.

机构信息

School of Plant Science, National Centre for Future Forest Industries, University of Tasmania, Private Bag 55, Hobart, Tas., 7001, Australia.

Co-operative Research Centre for Forestry, Private Bag 12, Hobart, Tas., 7001, Australia.

出版信息

New Phytol. 2013 Jun;198(4):1121-1134. doi: 10.1111/nph.12237. Epub 2013 Mar 20.

DOI:10.1111/nph.12237
PMID:23517065
Abstract

· Eucalypts are one of the most planted tree genera worldwide, and there is increasing interest in marker-assisted selection for tree improvement. Implementation of marker-assisted selection requires a knowledge of the stability of quantitative trait loci (QTLs). This study aims to investigate the stability of QTLs for wood properties and growth across contrasting sites and multiple pedigrees of Eucalyptus globulus. · Saturated linkage maps were constructed using 663 genotypes from four separate families, grown at three widely separated sites, and were employed to construct a consensus map. This map was used for QTL analysis of growth, wood density and wood chemical traits, including pulp yield. · Ninety-eight QTLs were identified across families and sites: 87 for wood properties and 11 for growth. These QTLs mapped to 38 discrete regions, some of which co-located with candidate genes. Although 16% of QTLs were verified across different families, 24% of wood property QTLs and 38% of growth QTLs exhibited significant genotype-by-environment interaction. · This study provides the most detailed assessment of the effect of environment and pedigree on QTL detection in the genus. Despite markedly different environments and pedigrees, many QTLs were stable, providing promising targets for the application of marker-assisted selection.

摘要

桉树是全球种植最广泛的树种之一,人们对利用标记辅助选择进行树木改良的兴趣日益增加。实施标记辅助选择需要了解数量性状位点(QTL)的稳定性。本研究旨在调查桉树木材性质和生长的 QTL 在不同地点和多个家系之间的稳定性。

利用来自四个不同家系的 663 个基因型在三个相距甚远的地点种植,构建了饱和连锁图谱,并用于构建共识图谱。该图谱用于生长、木材密度和木材化学特性(包括纸浆产量)的 QTL 分析。

在不同的家系和地点共鉴定到 98 个 QTL:87 个用于木材特性,11 个用于生长。这些 QTL 映射到 38 个离散区域,其中一些与候选基因共定位。尽管有 16%的 QTL 在不同的家系中得到了验证,但 24%的木材特性 QTL 和 38%的生长 QTL 表现出显著的基因型与环境互作。

本研究对环境和家系对该属 QTL 检测的影响进行了最详细的评估。尽管环境和家系明显不同,但许多 QTL 是稳定的,为应用标记辅助选择提供了有希望的目标。

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