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    <titleInfo>
      <title>SSR mining in coffee tree EST databases: potential use of EST-SSRs as markers for the Coffea genus</title>
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      <namePart type="family">Tranchant</namePart>
      <namePart type="given">Christine</namePart>
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      <namePart type="family">Cayrel</namePart>
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      <namePart type="family">Kochko</namePart>
      <namePart type="given">Alexandre de</namePart>
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    <abstract>Expressed sequence tags (ESTs) from Coffea canephora leaves and fruits were used to search for types and frequencies of simple sequence repeats (EST-SSRs) with a motif length of 1-6 bp. From a non-redundant (NR) EST set of 5,534 potential unigenes, 6.8% SSR-containing sequences were identified, with an average density of one SSR every 7.73 kb of EST sequences. Trinucleotide repeats were found to be the most abundant (34.34%), followed by di- (25.75%) and hexa-nucleotide (22.04%) motifs. The development of unique genic SSR markers was optimized by a computational approach which allowed us to eliminate redundancy in the original EST set and also to test the specificity of each pair of designed primers. Twenty-five EST-SSRs were developed and used to evaluate cross-species transferability in the Coffea genus. The orthology was supported by the amplicon sequence similarity and the amplification patterns. The &gt; 94% identity of flanking sequences revealed high sequence conservation across the Coffea genus. A high level of polymorphic loci was obtained regardless of the species considered (from 75% for C. liberica to 86% for C. canephora). Moreover, the polymorphism revealed by EST-SSR was similar to that exposed by genomic SSR. It is concluded that Coffea ESTs are a valuable resource for microsatellite mining. EST-SSR markers developed from C. canephora sequences can be easily transferred to other Coffea species for which very little molecular information is available. They constitute a set of conserved orthologous markers, which would be ideal for assessing genetic diversity in coffee trees as well as for cross-referencing transcribed sequences in comparative genomics studies.</abstract>
    <targetAudience authority="marctarget">specialized</targetAudience>
    <subject>
      <topic>SSR mining</topic>
      <topic>EST SSR</topic>
      <topic>Coffea</topic>
      <topic>transferability</topic>
      <topic>genetic variation</topic>
    </subject>
    <classification authority="local">076</classification>
    <relatedItem type="host">
      <titleInfo>
        <title>Molecular Genetics and Genomics</title>
      </titleInfo>
      <part>
        <detail type="volume">
          <number>276</number>
        </detail>
        <detail type="volume">
          <number>5</number>
        </detail>
        <extent unit="pages">
          <list> 436-449</list>
        </extent>
      </part>
      <originInfo>
        <dateIssued>2006</dateIssued>
      </originInfo>
      <identifier type="issn">1617-4615</identifier>
    </relatedItem>
    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010037624</identifier>
    <identifier type="doi">10.1007/s00438-006-0153-5</identifier>
    <identifier type="issn">1617-4615</identifier>
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      <url usage="primary display" access="object in context">https://www.documentation.ird.fr/hor/fdi:010037624</url>
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      <recordCreationDate encoding="w3cdtf">2006-10-06</recordCreationDate>
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      <recordIdentifier>fdi:010037624</recordIdentifier>
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