Literature DB >> 30989557

Identification and development of microsatellite (SSRs) makers of Exbucklandia (HAMAMELIDACEAE) by high-throughput sequencing.

Cuiying Huang1, Qianyi Yin1, Dipak Khadka2, Kaikai Meng1, Qiang Fan1, Sufang Chen3, Wenbo Liao4.   

Abstract

Hamamelidaceae (Saxifragales, previously Rosales) comprises approximately six subfamily, 30 genera and 140 species, most of which are Tertiary relicts. Exbucklandia is the only genus of the subfamily Exbucklandioideae, Hamelidaceae, containing only 2-4 species. Of them, the species E. longipetala H. T. Chang is endemic to China and listed as endangered in The Biodiversity Red List of China: Higher Plant, yet some taxonomists put forward that E. longipetala should be merged into E. tonkinensis (Lecomte) H. T. Chang. Currently, there was nearly no phylogeographic studies on this genus possibly due to the deficiency of efficient molecular markers. In this study, we sequenced the genome of E. tonkinensis based on high throughput sequencing technology, and obtained approximately 6 G raw data, which was further de novo assembled into 303,481 contigs. Based on them, 15,326 SSRs were identified from 13,596 contigs, and primers were successfully designed for 10,660 SSRs. A total of 139 paired primers were synthesized, 106 of them were successfully amplified in six Exbucklandia individuals with expected PCR product size, and 24 demonstrated to be polymorphic among three Exbucklandia populations. Accordingly, the expected and observed heterozygosity were between 0.097-0.717 and 0.098-0.583. Based on these efforts, future researches on genetic diversity and population structure of Exbucklandia can be performed to understand its phylogenetic origins and phylogeographic pattern.

Entities:  

Keywords:  Conservation genetics; Exbucklandia; Genome sequencing; Microsatellite marker; Primers development

Mesh:

Substances:

Year:  2019        PMID: 30989557     DOI: 10.1007/s11033-019-04800-z

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


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