Evidence map›Paper›PMID 19309524›Full record

ArticleBMC plant biology2009

Utility of EST-derived SSR in cultivated peanut (Arachis hypogaea L.) and Arachis wild species.

Xuanqiang Liang, Xiaoping Chen, Yanbin Hong, Haiyan Liu, Guiyuan Zhou, Shaoxiong Li, Baozhu Guo

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Article in BMC plant biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

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70citing papers in PubMed
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3 · Its place in the literature

Who cites it

70 citing papers in PubMed.

  1. Article
  2. Development and utility of SSR markers based onFrontiers in plant science · 2023
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  14. Transcriptome analysis and development of simple sequence repeat (SSR) markers inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2018
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10 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xuanqiang LiangCrops Research Institute, Guangdong Academy of Agricultural Sciences, Wushan 510640, Guangzhou, PR China. Liang-804@163.com
Xiaoping Chen
Yanbin Hong
Haiyan Liu
Guiyuan Zhou
Shaoxiong Li
Baozhu Guo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLack of sufficient molecular markers hinders current genetic research in peanuts (Arachis hypogaea L.). It is necessary to develop more molecular markers for potential use in peanut genetic research. With the development of peanut EST projects, a vast amount of available EST sequence data has been generated. These data offered an opportunity to identify SSR in ESTs by data mining.

resultsIn this study, we investigated 24,238 ESTs for the identification and development of SSR markers. In total, 881 SSRs were identified from 780 SSR-containing unique ESTs. On an average, one SSR was found per 7.3 kb of EST sequence with tri-nucleotide motifs (63.9%) being the most abundant followed by di- (32.7%), tetra- (1.7%), hexa- (1.0%) and penta-nucleotide (0.7%) repeat types. The top six motifs included AG/TC (27.7%), AAG/TTC (17.4%), AAT/TTA (11.9%), ACC/TGG (7.72%), ACT/TGA (7.26%) and AT/TA (6.3%). Based on the 780 SSR-containing ESTs, a total of 290 primer pairs were successfully designed and used for validation of the amplification and assessment of the polymorphism among 22 genotypes of cultivated peanuts and 16 accessions of wild species. The results showed that 251 primer pairs yielded amplification products, of which 26 and 221 primer pairs exhibited polymorphism among the cultivated and wild species examined, respectively. Two to four alleles were found in cultivated peanuts, while 3-8 alleles presented in wild species. The apparent broad polymorphism was further confirmed by cloning and sequencing of amplified alleles. Sequence analysis of selected amplified alleles revealed that allelic diversity could be attributed mainly to differences in repeat type and length in the microsatellite regions. In addition, a few single base mutations were observed in the microsatellite flanking regions.

conclusionThis study gives an insight into the frequency, type and distribution of peanut EST-SSRs and demonstrates successful development of EST-SSR markers in cultivated peanut. These EST-SSR markers could enrich the current resource of molecular markers for the peanut community and would be useful for qualitative and quantitative trait mapping, marker-assisted selection, and genetic diversity studies in cultivated peanut as well as related Arachis species. All of the 251 working primer pairs with names, motifs, repeat types, primer sequences, and alleles tested in cultivated and wild species are listed in Additional File 1.

Indexed as

Expressed Sequence TagsMicrosatellite RepeatsAllelesArachisBase SequenceDNA, PlantGenetic MarkersGenome, PlantMolecular Sequence DataPolymorphism, GeneticSequence Analysis, DNADNA, PlantGenetic Markers

Identifiers

PMID19309524
PMCPMC2678122

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.