Melotto-Passarin DM, Tambarussi EV, Dressano K, De Martin VF, Carrer H. Characterization of chloroplast DNA microsatellites from Saccharum spp and related species.
GENETICS AND MOLECULAR RESEARCH 2011;
10:2024-33. [PMID:
21948764 DOI:
10.4238/vol10-3gmr1019]
[Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Microsatellites, or simple sequence repeats (SSRs), and their flanking regions in chloroplast genomes (plastomes) of some species of the family Poaceae were analyzed in silico to look for DNA sequence variations. Comparison of the complete chloroplast DNA sequences (cpDNAs) of sugarcane (Saccharum hybrid cv. SP-80-3280 and S. officinarum cv. NCo310) and related species, Agrostis stolonifera, Brachypodium distachyon, Hordeum vulgare subsp vulgare, Lolium perenne, Oryza nivara, O. sativa subsp indica, O. sativa subsp japonica, Sorghum bicolor, Triticum aestivum, Zea mays, and Z. mays cv. B73, allowed us to examine the organization of chloroplast SSRs (cpSSRs) in genic and intergenic regions. We identified 204 cpSSRs in the sugarcane cpDNA; 22.5% were in genic regions. The ndh, rps, trn, and rpl gene clusters of the chloroplasts had the most repeats. Mononucleotide repeats were the most abundant cpSSRs in these species; however, di-, tri-, tetra-, penta-, and hexanucleotide repeats were also identified. Many base substitutions and deletions/insertions were identified in the cpSSR loci and their flanking regions. Multiple alignments of all cpSSR sequences of Poaceae species made identification of nucleotide variability possible; repeat motifs are not uniformly distributed across the Poaceae plastomes, but are mostly confined to intergenic regions. Phylogeny was determined by maximum parsimony and neighbor-joining inference methods. The cpSSRs of these species were found to be polymorphic. It appears that individual cpSSRs in the Poaceae are stable, at least over short periods of evolutionary time. We conclude that the plastome database can be exploited for phylogenetic analysis and biotechnological development.
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