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Phylogenetic analysis of chloroplast matK gene from Zingiberaceae for plant DNA barcoding.

ABSTRACT: MaturaseK gene (MatK) of chloroplast is highly conserved in plant systematics which is involved in Group II intron splicing. The size of the gene is 1500 bp in length, located with in the intron of trnK. In the present study, matK gene from Zingiberaceae was taken for the analysis of variants, parsimony site, patterns, transition/tranversion rates and phylogeny. The family of Zingiberaceae comprises 47 genera with medicinal values. The matK gene sequence have been obtained from genbank and used for the analysis. The sequence alignments were performed by Clustal X, transition/transversion rates were predicted by MEGA and phylogenetic analyses were carried out by PHYLIP package. The result indicates that the Zingiberaceae genus Afromonum, Alpinia, Globba, Curcuma and Zingiber shows polyphylogeny. The overall variants between the species are 24% and transition/transversion rate is 1.54. Phylogenetic tree was designed to identify the ideal regions that could be used for defining the inter and intera-generic relationships. From this study it could be concluded that the matK gene is a good candidate for DNA barcoding of plant family Zingiberaceae.

SUBMITTER: Selvaraj D

PROVIDER: S-EPMC2586133 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature

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Phylogenetic analysis of chloroplast matK gene from Zingiberaceae for plant DNA barcoding.

Selvaraj Dhivya D Sarma Rajeev Kumar RK Sathishkumar Ramalingam R

Bioinformation 20080908 1

MaturaseK gene (MatK) of chloroplast is highly conserved in plant systematics which is involved in Group II intron splicing. The size of the gene is 1500 bp in length, located with in the intron of trnK. In the present study, matK gene from Zingiberaceae was taken for the analysis of variants, parsimony site, patterns, transition/tranversion rates and phylogeny. The family of Zingiberaceae comprises 47 genera with medicinal values. The matK gene sequence have been obtained from genbank and used ...[more]

PMID: 19052662

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Project description:Accurate identification of Arctic plant species is critical for understanding potential climate-induced changes in their diversity and distributions. To facilitate rapid identification we generated DNA barcodes for the core plastid barcode loci (rbcL and matK) for 490 vascular plant species, representing nearly half of the Canadian Arctic flora and 93% of the flora of the Canadian Arctic Archipelago. Sequence recovery was higher for rbcL than matK (93% and 81%), and rbcL was easier to recover than matK from herbarium specimens (92% and 77%). Distance-based and sequence-similarity analyses of combined rbcL + matK data discriminate 97% of genera, 56% of species, and 7% of infraspecific taxa. There is a significant negative correlation between the number of species sampled per genus and the percent species resolution per genus. We characterize barcode variation in detail in the ten largest genera sampled (Carex, Draba, Festuca, Pedicularis, Poa, Potentilla, Puccinellia, Ranunculus, Salix, and Saxifraga) in the context of their phylogenetic relationships and taxonomy. Discrimination with the core barcode loci in these genera ranges from 0% in Salix to 85% in Carex. Haplotype variation in multiple genera does not correspond to species boundaries, including Taraxacum, in which the distribution of plastid haplotypes among Arctic species is consistent with plastid variation documented in non-Arctic species. Introgression of Poa glauca plastid DNA into multiple individuals of P. hartzii is problematic for identification of these species with DNA barcodes. Of three supplementary barcode loci (psbA-trnH, psbK-psbI, atpF-atpH) collected for a subset of Poa and Puccinellia species, only atpF-atpH improved discrimination in Puccinellia, compared with rbcL and matK. Variation in matK in Vaccinium uliginosum and rbcL in Saxifraga oppositifolia corresponds to variation in other loci used to characterize the phylogeographic histories of these Arctic-alpine species.

Project description:BACKGROUND: At present, plant molecular systematics and DNA barcoding techniques rely heavily on the use of chloroplast gene sequences. Because of the relatively low evolutionary rates of chloroplast genes, there are very few choices suitable for molecular studies on angiosperms at low taxonomic levels, and for DNA barcoding of species. METHODOLOGY/PRINCIPAL FINDINGS: We scanned the entire chloroplast genomes of 12 genera to search for highly variable regions. The sequence data of 9 genera were from GenBank and 3 genera were of our own. We identified nearly 5% of the most variable loci from all variable loci in the chloroplast genomes of each genus, and then selected 23 loci that were present in at least three genera. The 23 loci included 4 coding regions, 2 introns, and 17 intergenic spacers. Of the 23 loci, the most variable (in order from highest variability to lowest) were intergenic regions ycf1-a, trnK, rpl32-trnL, and trnH-psbA, followed by trnS(UGA)-trnG(UCC), petA-psbJ, rps16-trnQ, ndhC-trnV, ycf1-b, ndhF, rpoB-trnC, psbE-petL, and rbcL-accD. Three loci, trnS(UGA)-trnG(UCC), trnT-psbD, and trnW-psaJ, showed very high nucleotide diversity per site (? values) across three genera. Other loci may have strong potential for resolving phylogenetic and species identification problems at the species level. The loci accD-psaI, rbcL-accD, rpl32-trnL, rps16-trnQ, and ycf1 are absent from some genera. To amplify and sequence the highly variable loci identified in this study, we designed primers from their conserved flanking regions. We tested the applicability of the primers to amplify target sequences in eight species representing basal angiosperms, monocots, eudicots, rosids, and asterids, and confirmed that the primers amplified the desired sequences of these species. SIGNIFICANCE/CONCLUSIONS: Chloroplast genome sequences contain regions that are highly variable. Such regions are the first consideration when screening the suitable loci to resolve closely related species or genera in phylogenetic analyses, and for DNA barcoding.

Dataset Information

Phylogenetic analysis of chloroplast matK gene from Zingiberaceae for plant DNA barcoding.

Publications

Phylogenetic analysis of chloroplast matK gene from Zingiberaceae for plant DNA barcoding.

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