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In silico genome comparison and distribution analysis of simple sequences repeats in cassava.

Identifieur interne : 002167 ( Main/Exploration ); précédent : 002166; suivant : 002168

In silico genome comparison and distribution analysis of simple sequences repeats in cassava.

Auteurs : Andrea Vásquez [Colombie] ; Camilo L Pez [Colombie]

Source :

RBID : pubmed:25374887

Abstract

We conducted a SSRs density analysis in different cassava genomic regions. The information obtained was useful to establish comparisons between cassava's SSRs genomic distribution and those of poplar, flax, and Jatropha. In general, cassava has a low SSR density (~50 SSRs/Mbp) and has a high proportion of pentanucleotides, (24,2 SSRs/Mbp). It was found that coding sequences have 15,5 SSRs/Mbp, introns have 82,3 SSRs/Mbp, 5' UTRs have 196,1 SSRs/Mbp, and 3' UTRs have 50,5 SSRs/Mbp. Through motif analysis of cassava's genome SSRs, the most abundant motif was AT/AT while in intron sequences and UTRs regions it was AG/CT. In addition, in coding sequences the motif AAG/CTT was also found to occur most frequently; in fact, it is the third most used codon in cassava. Sequences containing SSRs were classified according to their functional annotation of Gene Ontology categories. The identified SSRs here may be a valuable addition for genetic mapping and future studies in phylogenetic analyses and genomic evolution.

DOI: 10.1155/2014/471461
PubMed: 25374887
PubMed Central: PMC4211302


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<Reference>
<Citation>Mol Ecol Resour. 2008 May;8(3):682-5</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">21585870</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Plant Cell. 2010 Oct;22(10):3348-56</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">20889914</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>BMC Plant Biol. 2011 Jan 19;11:15</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">21247422</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Am J Bot. 2000 Nov;87(11):1647-55</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">11080115</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>PLoS One. 2011;6(6):e21298</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">21713003</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Theor Appl Genet. 2011 Apr;122(6):1161-70</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">21222095</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Mol Ecol. 2002 Dec;11(12):2453-65</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">12453231</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>BMC Genomics. 2009 Jan 14;10:22</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">19144180</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Genetics. 2006 Apr;172(4):2541-55</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16489220</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Genome Res. 2001 Aug;11(8):1441-52</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">11483586</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>BMC Genomics. 2008 Jul 30;9:357</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">18667065</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Genetics. 2000 Oct;156(2):847-54</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">11014830</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Theor Appl Genet. 2003 Oct;107(6):1083-93</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">12856084</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Trop Plant Biol. 2012 Mar;5(1):88-94</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">22523606</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Nucleic Acids Res. 1984 May 25;12(10):4127-38</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">6328411</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Trends Genet. 2000 Jun;16(6):276-7</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">10827456</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>DNA Res. 2011 Feb;18(1):65-76</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">21149391</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Trends Genet. 1997 Feb;13(2):74-8</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">9055609</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Mol Genet Genomics. 2007 May;277(5):469-80</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">17237941</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Plant J. 1993 Jan;3(1):175-82</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">8401603</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Nat Biotechnol. 2010 Sep;28(9):951-6</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">20729833</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Nat Genet. 2002 Feb;30(2):194-200</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">11799393</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Sci Am. 2010 May;302(5):78-82, 84</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">20443382</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Genome. 2007 Dec;50(12):1078-88</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">18059536</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>BMC Plant Biol. 2009 Sep 11;9:118</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">19747391</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Trends Biotechnol. 2005 Jan;23(1):48-55</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">15629858</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Genome Biol. 2006;7(2):R14</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16507170</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Nat Rev Genet. 2004 Jun;5(6):435-45</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">15153996</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Genet Mol Biol. 2009 Oct;32(4):822-33</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">21637460</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Mol Biol Evol. 2004 Jun;21(6):991-1007</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">14963101</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Bioinformatics. 2004 May 1;20(7):1081-6</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">14764542</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
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