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高度多倍体甘蔗全基因组连锁不平衡分析

Analysis of genome-wide linkage disequilibrium in the highly polyploid sugarcane.

作者信息

Raboin Louis-Marie, Pauquet Jérôme, Butterfield Mike, D'Hont Angélique, Glaszmann Jean-Christophe

机构信息

CIRAD (Centre de coopération internationale en recherche agronomique pour le développement), UMR PVBMT, Saint-Pierre, 97410, Reunion, France.

出版信息

Theor Appl Genet. 2008 Mar;116(5):701-14. doi: 10.1007/s00122-007-0703-1. Epub 2008 Jan 15.

Abstract

Linkage disequilibrium (LD) in crops, established by domestication and early breeding, can be a valuable basis for mapping the genome. We undertook an assessment of LD in sugarcane (Saccharum spp), characterized by one of the most complex crop genomes, with its high ploidy level (>or=8) and chromosome number (>100) as well as its interspecific origin. Using AFLP markers, we surveyed 1,537 polymorphisms among 72 modern sugarcane cultivars. We exploited information from available genetic maps to determine a relevant statistical threshold that discriminates marker associations due to linkage from other associations. LD is very common among closely linked markers and steadily decreases within a 0-30 cM window. Many instances of linked markers cannot be recognized due to the confounding effect of polyploidy. However, LD within a sample of cultivars appears as efficient as linkage analysis within a controlled progeny in terms of assigning markers to cosegregation groups. Saturating the genome coverage remains a challenge, but applying LD-based mapping within breeding programs will considerably speed up the localization of genes controlling important traits by making use of phenotypic information produced in the course of selection.

摘要

通过驯化和早期育种建立的作物连锁不平衡(LD),可为基因组作图提供有价值的基础。我们对甘蔗(Saccharum spp)的LD进行了评估,甘蔗具有最复杂的作物基因组之一,其多倍体水平高(≥8)、染色体数目多(>100)且起源于种间杂交。利用AFLP标记,我们在72个现代甘蔗品种中检测到1537个多态性。我们利用现有遗传图谱的信息来确定一个相关的统计阈值,以区分由连锁导致的标记关联与其他关联。紧密连锁的标记之间LD非常普遍,并且在0 - 30 cM的窗口内会稳步下降。由于多倍体的混杂效应,许多连锁标记的情况无法被识别。然而,就将标记分配到共分离组而言,品种样本中的LD在效率上与受控后代中的连锁分析相当。使基因组覆盖饱和仍然是一个挑战,但在育种计划中应用基于LD的作图将通过利用选择过程中产生的表型信息,大大加快控制重要性状的基因的定位。

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