Literature DB >> 17519965

EST-SSRs as a resource for population genetic analyses.

J R Ellis1, J M Burke.   

Abstract

Simple-sequence repeats (SSRs) have increasingly become the marker of choice for population genetic analyses. Unfortunately, the development of traditional 'anonymous' SSRs from genomic DNA is costly and time-consuming. These problems are further compounded by a paucity of resources in taxa that lack clear economic importance. However, the advent of the genomics age has resulted in the production of vast amounts of publicly available DNA sequence data, including large collections of expressed sequence tags (ESTs) from a variety of different taxa. Recent research has revealed that ESTs are a potentially rich source of SSRs that reveal polymorphisms not only within the source taxon, but in related taxa, as well. In this paper, we review what is known about the transferability of EST-SSRs from one taxon to another with particular reference to the potential of these markers to facilitate population genetic studies. As an example of the utility of these resources, we then cross-reference existing EST databases against lists of rare, endangered and invasive plant species and conclude that half of all suitable EST databases could be exploited for the population genetic analysis of species of conservation concern. We then discuss the advantages and disadvantages of EST-SSRs in the context of population genetic applications.

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Year:  2007        PMID: 17519965     DOI: 10.1038/sj.hdy.6801001

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  128 in total

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2.  Analysis of expression sequence tags from a full-length-enriched cDNA library of developing sesame seeds (Sesamum indicum).

Authors:  Tao Ke; Caihua Dong; Han Mao; Yingzhong Zhao; Hong Chen; Hongyan Liu; Xuyan Dong; Chaobo Tong; Shengyi Liu
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3.  Developing new SSR markers from ESTs of pea (Pisum sativum L.).

Authors:  Ya-ming Gong; Sheng-chun Xu; Wei-hua Mao; Qi-zan Hu; Gu-wen Zhang; Ju Ding; Ya-dan Li
Journal:  J Zhejiang Univ Sci B       Date:  2010-09       Impact factor: 3.066

4.  Assessment of genetic diversity in the sorghum reference set using EST-SSR markers.

Authors:  P Ramu; C Billot; J-F Rami; S Senthilvel; H D Upadhyaya; L Ananda Reddy; C T Hash
Journal:  Theor Appl Genet       Date:  2013-05-25       Impact factor: 5.699

5.  Climate, not Aboriginal landscape burning, controlled the historical demography and distribution of fire-sensitive conifer populations across Australia.

Authors:  Shota Sakaguchi; David M J S Bowman; Lynda D Prior; Michael D Crisp; Celeste C Linde; Yoshihiko Tsumura; Yuji Isagi
Journal:  Proc Biol Sci       Date:  2013-10-30       Impact factor: 5.349

6.  Bin mapping of genomic and EST-derived SSRs in melon (Cucumis melo L.).

Authors:  I Fernandez-Silva; I Eduardo; J Blanca; C Esteras; B Picó; F Nuez; P Arús; J Garcia-Mas; Antonio José Monforte
Journal:  Theor Appl Genet       Date:  2008-09-20       Impact factor: 5.699

7.  Transferability of simple sequence repeat (SSR) markers developed in guava (Psidium guajava L.) to four Myrtaceae species.

Authors:  Manoj K Rai; Mahendra Phulwaria; N S Shekhawat
Journal:  Mol Biol Rep       Date:  2013-05-09       Impact factor: 2.316

Review 8.  Next-generation hybridization and introgression.

Authors:  A D Twyford; R A Ennos
Journal:  Heredity (Edinb)       Date:  2011-09-07       Impact factor: 3.821

9.  Development and characterization of novel polymorphic microsatellite loci in Siniperca scherzeri Steindachner and Siniperca chuatsi (Basilewsky).

Authors:  Wei Huang; Xufang Liang; Chunmei Qu; Jingjing Cao; Cheng Zhao; Liang Cao
Journal:  Mol Biol Rep       Date:  2012-12-08       Impact factor: 2.316

10.  De novo assembly and characterization of the leaf, bud, and fruit transcriptome from the vulnerable tree Juglans mandshurica for the development of 20 new microsatellite markers using Illumina sequencing.

Authors:  Zhuang Hu; Tian Zhang; Xiao-Xiao Gao; Yang Wang; Qiang Zhang; Hui-Juan Zhou; Gui-Fang Zhao; Ma-Li Wang; Keith E Woeste; Peng Zhao
Journal:  Mol Genet Genomics       Date:  2015-11-27       Impact factor: 3.291

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