Li Fagen, Zhou Changpin, Weng Qijie, Li Mei, Yu Xiaoli, Guo Yong, Wang Yu, Zhang Xiaohong, Gan Siming
State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Xiangshan Road, Beijing, 100091, China.
Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China.
PLoS One. 2015 Dec 22;10(12):e0145144. doi: 10.1371/journal.pone.0145144. eCollection 2015.
Dense genetic maps, along with quantitative trait loci (QTLs) detected on such maps, are powerful tools for genomics and molecular breeding studies. In the important woody genus Eucalyptus, the recent release of E. grandis genome sequence allows for sequence-based genomic comparison and searching for positional candidate genes within QTL regions. Here, dense genetic maps were constructed for E. urophylla and E. tereticornis using genomic simple sequence repeats (SSR), expressed sequence tag (EST) derived SSR, EST-derived cleaved amplified polymorphic sequence (EST-CAPS), and diversity arrays technology (DArT) markers. The E. urophylla and E. tereticornis maps comprised 700 and 585 markers across 11 linkage groups, totaling at 1,208.2 and 1,241.4 cM in length, respectively. Extensive synteny and colinearity were observed as compared to three earlier DArT-based eucalypt maps (two maps with E. grandis × E. urophylla and one map of E. globulus) and with the E. grandis genome sequence. Fifty-three QTLs for growth (10-56 months of age) and wood density (56 months) were identified in 22 discrete regions on both maps, in which only one colocalizaiton was found between growth and wood density. Novel QTLs were revealed as compared with those previously detected on DArT-based maps for similar ages in Eucalyptus. Eleven to 585 positional candidate genes were obained for a 56-month-old QTL through aligning QTL confidence interval with the E. grandis genome. These results will assist in comparative genomics studies, targeted gene characterization, and marker-assisted selection in Eucalyptus and the related taxa.
高密度遗传图谱以及在此类图谱上检测到的数量性状基因座(QTL),是基因组学和分子育种研究的有力工具。在重要的木本属桉树中,最近公布的巨桉基因组序列使得基于序列的基因组比较以及在QTL区域内寻找位置候选基因成为可能。在此,利用基因组简单序列重复(SSR)、表达序列标签(EST)衍生的SSR、EST衍生的酶切扩增多态性序列(EST-CAPS)以及多样性阵列技术(DArT)标记,构建了尾叶桉和细叶桉的高密度遗传图谱。尾叶桉和细叶桉的图谱分别包含跨越11个连锁群的700个和585个标记,总长度分别为1208.2厘摩和1241.4厘摩。与之前基于DArT的三张桉树图谱(两张巨桉×尾叶桉图谱和一张蓝桉图谱)以及巨桉基因组序列相比,观察到了广泛的同线性和共线性。在两张图谱的22个离散区域中鉴定出了53个生长(10 - 56月龄)和木材密度(56月龄)的QTL,其中生长和木材密度之间仅发现一个共定位。与之前在类似年龄的基于DArT图谱上检测到的QTL相比,发现了新的QTL。通过将QTL置信区间与巨桉基因组比对,为一个56月龄的QTL获得了11至585个位置候选基因。这些结果将有助于桉树及相关类群的比较基因组学研究、目标基因表征和标记辅助选择。