Dataset Information

Linkage disequilibrium and phylogenetic congruence between chloroplast and mitochondrial haplotypes in Silene vulgaris.

ABSTRACT: Both the chloroplast and mitochondrial genomes are used extensively in studies of plant population genetics and systematics. In the majority of angiosperms, the chloroplast DNA (cpDNA) and mitochondrial DNA (mtDNA) are each primarily transmitted maternally, but rare biparental transmission is possible. The extent to which the cpDNA and mtDNA are in linkage disequilibrium is argued to be dependent on the fidelity of co-transmission and the population structure. This study reports complete linkage disequilibrium between cpDNA and mtDNA haplotypes in 86 individuals from 17 populations of Silene vulgaris, a gynodioecious plant species. Phylogenetic analysis of cpDNA and mtDNA haplotypes within 14 individuals supports a hypothesis that the evolutionary histories of the chloroplasts and mitochondria are congruent within S. vulgaris, as might be expected if this association persists for long periods. This provides the first documentation of the evolutionary consequences of long-term associations between chloroplast and mitochondrial genomes within a species. Factors that contribute to the phylogenetic and linkage associations, as well as the potential for intergenomic hitchhiking resulting from selection on genes in one organellar genome are discussed.

SUBMITTER: Olson MS

PROVIDER: S-EPMC1690734 | biostudies-literature | 2000 Sep

REPOSITORIES: biostudies-literature

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Publications

Linkage disequilibrium and phylogenetic congruence between chloroplast and mitochondrial haplotypes in Silene vulgaris.

Olson M S MS McCauley D E DE

Proceedings. Biological sciences 20000901 1454

Both the chloroplast and mitochondrial genomes are used extensively in studies of plant population genetics and systematics. In the majority of angiosperms, the chloroplast DNA (cpDNA) and mitochondrial DNA (mtDNA) are each primarily transmitted maternally, but rare biparental transmission is possible. The extent to which the cpDNA and mtDNA are in linkage disequilibrium is argued to be dependent on the fidelity of co-transmission and the population structure. This study reports complete linkage ...[more]

PMID: 12233780

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Project description:Genomic prediction is an effective way to estimate the genomic breeding values from genetic information based on statistical methods such as best linear unbiased prediction (BLUP). The used of haplotype, clusters of linked single nucleotide polymorphism (SNP) as markers instead of individual SNPs can improve the accuracy of genomic prediction. Since the probability of a quantitative trait loci to be in strong linkage disequilibrium (LD) with a cluster of markers is higher compared to an individual marker. To make haplotypes efficient in genomic prediction, finding optimal ways to define haplotypes is essential. In this study, 770K or 50K SNP chip data was collected from Hanwoo (Korean cattle) population consisted of 3,498 cattle. Using SNP chip data, haplotype was defined in three different ways based on 1) the number of SNPs included, 2) length of haplotypes (bp), and 3) agglomerative hierarchical clustering based on LD. To compare the methods in parallel, haplotypes defined by all methods were set to have comparable sizes; 5, 10, 20 or 50 SNPs on average per haplotype. A linear mixed model using haplotype to calculated the covariance matrix was applied for testing the prediction accuracy of each haplotype size. Also, conventional SNP-based linear mixed model was tested to evaluate the performance of the haplotype sets on genomic prediction. Carcass weight (CWT), eye muscle area (EMA) and backfat thickness (BFT) were used as the phenotypes. This study reveals that using haplotypes generally showed increased accuracy compared to conventional SNP-based model for CWT and EMA, but found to be small or no increase in accuracy for BFT. LD clustering-based haplotypes specifically the five SNPs size showed the highest prediction accuracy for CWT and EMA. Meanwhile, the highest accuracy was obtained when length-based haplotypes with five SNPs were used for BFT. The maximum gain in accuracy was 1.3% from cross-validation and 4.6% from forward validation for EMA, suggesting that genomic prediction accuracy can be increased by using haplotypes. However, the improvement from using haplotypes may depend on the trait of interest. In addition, when the number of alleles generated by each haplotype defining methods was compared, clustering by LD generated the least number of alleles, thereby reducing computational costs. Therefore, finding optimal ways to define haplotypes and using the haplotype alleles as markers can improve the accuracy of genomic prediction.

Dataset Information

Linkage disequilibrium and phylogenetic congruence between chloroplast and mitochondrial haplotypes in Silene vulgaris.

Publications

Linkage disequilibrium and phylogenetic congruence between chloroplast and mitochondrial haplotypes in Silene vulgaris.

Similar Datasets

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