Identification and development of microsatellite markers in Hamamelis mollis (Hamamelidaceae).
Identification and development of microsatellite markers in Hamamelis mollis (Hamamelidaceae).
复制标题
金缕梅（金缕梅科）微卫星标记的鉴定和开发
DOI：
10.1002/aps3.1189
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发表时间：
2018-10
影响因子：
3.6
通讯作者：
Liao W
中科院分区：
文献类型：
--
作者：
Yin Q;Huang C;Huang Y;Chen S;Ye H;Fan Q;Liao W
研究前提金缕梅（Hamamelidaceae）是中国南方特有的第三纪孑遗物种。开发多态性微卫星标记来揭示该物种的遗传多样性。方法和结果 对 H. mollis 的基因组进行了测序，并从头组装成 642,351 个重叠群。根据在 63,419 个重叠群中鉴定的 80,282 个简单序列重复 (SSR) 标记，成功设计了总共 72,097 个配对引物。 PCR扩增结果显示，合成的136条引物中有96条能够成功扩增，其中22条表现出多态性。等位基因的平均数、观察到的杂合性水平和预期杂合性水平分别为 4.602 ± 0.140、0.632 ± 0.020 和 0.696 ± 0.010。 96 个引物对中的大多数可以在至少一种其他金缕梅科物种中扩增，包括 Distylium myricoides (60)、Loropetalum chinense (39)、Exbucklandia populnea (24) 和 E. tonkinensis (24)。结论 这些微卫星位点为评估木本观赏植物的遗传多样性提供了丰富的基因组SSR标记。
Premise of the Study Hamamelis mollis (Hamamelidaceae) is a Tertiary relict species endemic to southern China. Polymorphic microsatellite markers were developed to reveal the genetic diversity of this species. Methods and Results The genome of H. mollis was sequenced and de novo assembled into 642,351 contigs. A total of 72,097 paired primers were successfully designed from 80,282 simple sequence repeat (SSR) markers identified in 63,419 contigs. PCR amplification showed that 96 of the 136 synthesized primers could be successfully amplified, and 22 demonstrated polymorphism. The mean number of alleles, levels of observed heterozygosity, and levels of expected heterozygosity were 4.602 ± 0.140, 0.632 ± 0.020, and 0.696 ± 0.010, respectively. The majority of the 96 primer pairs could be amplified in at least one other Hamamelidaceae species, including Distylium myricoides (60), Loropetalum chinense (39), Exbucklandia populnea (24), and E. tonkinensis (24). Conclusions These microsatellite loci provide abundant genomic SSR markers to evaluate genetic diversity of this woody ornamental plant.
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影响因子：
3.6
作者：
Hatmaker EA;Wadl PA;Mantooth K;Scheffler BE;Ownley BH;Trigiano RN
通讯作者：
Trigiano RN
影响因子：
5.4
作者：
Thiel, T;Michalek, W;Graner, A
通讯作者：
Graner, A
影响因子：
1.9
作者：
Li, JH;Bogle, AL;Klein, AS
通讯作者：
Klein, AS
DOI：
10.1093/bioinformatics/bts460
发表时间：
2012-10-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Peakall R;Smouse PE
通讯作者：
Smouse PE
影响因子：
1.6
作者：
Wen, J;Shi, SH
通讯作者：
Shi, SH