Literature DB >> 12893965

Genetic variation in Oryza species detected by MITE-AFLP.

Kyong-Cheul Park1, Ju Kyong Lee, Nam-Hee Kim, Young-Boum Shin, Jeom-Ho Lee, Nam-Soo Kim.   

Abstract

MITE-AFLP markers were successfully used to study the genetic variation and species relationship in Oryza species. Analysis of 53 accessions of Oryza species with seven MITE-AFLP primer combinations detected a total of 250 polymorphic fragments. High polymorphism was detected within and between Oryza species. Species relationships were analyzed by the pattern of presence or absence of homologous fragments, because nucleotide sequences of the detected MITE-AFLP fragments revealed that the same fragments in different species shared very high sequence homology. The genetic distances (GDs) between species were higher than those within species and the GDs in O. sativa complex were higher than those in O. officinalis complex. The phylogenetic tree recognized two major groups at 62% genetic similarity; group I consists of all AA genome species of the O. sativa complex, and group II consists of BB-, CC-, EE- and BBCC genome species of the O. officinalis complex. Therefore, this study demonstrated that the MITE-AFLP technique provide a tool for studying the genetic variation and species relationship in Oryza species.

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Year:  2003        PMID: 12893965     DOI: 10.1266/ggs.78.235

Source DB:  PubMed          Journal:  Genes Genet Syst        ISSN: 1341-7568            Impact factor:   1.517


  4 in total

1.  Rim 2/Hipa CACTA transposon display: a new genetic marker technique in Oryza species.

Authors:  Soon-Jae Kwon; Kyong-Chul Park; Jin-Hong Kim; Ju Kyong Lee; Nam-Soo Kim
Journal:  BMC Genet       Date:  2005-03-14       Impact factor: 2.797

2.  Miniature Inverted Repeat Transposable Element Insertions Provide a Source of Intron Length Polymorphism Markers in the Carrot (Daucus carota L.).

Authors:  Katarzyna Stelmach; Alicja Macko-Podgórni; Gabriela Machaj; Dariusz Grzebelus
Journal:  Front Plant Sci       Date:  2017-05-09       Impact factor: 5.753

3.  MITE Digger, an efficient and accurate algorithm for genome wide discovery of miniature inverted repeat transposable elements.

Authors:  Guojun Yang
Journal:  BMC Bioinformatics       Date:  2013-06-07       Impact factor: 3.169

4.  Conservation and utilization of African Oryza genetic resources.

Authors:  Peterson W Wambugu; Agnelo Furtado; Daniel LE Waters; Desterio O Nyamongo; Robert J Henry
Journal:  Rice (N Y)       Date:  2013-10-29       Impact factor: 4.783

  4 in total

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