Highly variable patterns of linkage disequilibrium in multiple soybean populations.
نویسندگان
چکیده
Prospects for utilizing whole-genome association analysis in autogamous plant populations appear promising due to the reported high levels of linkage disequilibrium (LD). To determine the optimal strategies for implementing association analysis in soybean (Glycine max L. Merr.), we analyzed the structure of LD in three regions of the genome varying in length from 336 to 574 kb. This analysis was conducted in four distinct groups of soybean germplasm: 26 accessions of the wild ancestor of soybean (Glycine soja Seib. et Zucc.); 52 Asian G. max Landraces, the immediate results of domestication from G. soja; 17 Asian Landrace introductions that became the ancestors of North American (N. Am.) cultivars, and 25 Elite Cultivars from N. Am. In G. soja, LD did not extend past 100 kb; however, in the three cultivated G. max groups, LD extended from 90 to 574 kb, likely due to the impacts of domestication and increased self-fertilization. The three genomic regions were highly variable relative to the extent of LD within the three cultivated soybean populations. G. soja appears to be ideal for fine mapping of genes, but due to the highly variable levels of LD in the Landraces and the Elite Cultivars, whole-genome association analysis in soybean may be more difficult than first anticipated.
منابع مشابه
Nucleotide diversity patterns of three divergent soybean populations: evidences for population‐dependent linkage disequilibrium and taxonomic status of Glycine gracilis
The level of linkage disequilibrium (LD) is a major factor to determine DNA polymorphism pattern of a population and to construct high-resolution maps useful in localizing and gene cloning of complicated traits. Here, we investigated LD level of three soybean populations with different genetic backgrounds and taxonomic status of G. gracilis by comparing the DNA polymorphism patterns of four hig...
متن کاملPopulation genomics: Linkage disequilibrium holds the key
Current efforts to find disease-causing genes depend on patterns of linkage disequilibrium in human populations. Recent work has shown that linkage disequilibrium can extend over much larger genomic regions than expected, and that the patterns of linkage disequilibrium can differ markedly among populations.
متن کاملDistinguishing recombination and intragenic gene conversion by linkage disequilibrium patterns.
Deterministic theory suggests that reciprocal recombination and intragenic, interallelic conversion have different effects on the linkage disequilibrium between a pair of genetic markers. Under a model of reciprocal recombination, the decay rate of linkage disequilibrium depends on the distance between the two markers, while under conversion the decay rate is independent of this distance, provi...
متن کاملAncestry Inference in Complex Admixtures via Variable-Length Markov Chain Linkage Models
Inferring the ancestral origin of chromosomal segments in admixed individuals is key for genetic applications, ranging from analyzing population demographics and history, to mapping disease genes. Previous methods addressed ancestry inference by using either weak models of linkage disequilibrium, or large models that make explicit use of ancestral haplotypes. In this paper we introduce ALLOY, a...
متن کاملDemography, Recombination Hotspot Intensity, and the Block Structure of Linkage Disequilibrium
BACKGROUND Effective gene mapping based on genetic association data will require detailed knowledge of patterns of linkage disequilibrium (LD) in human populations. It has been recently suggested that linkage disequilibrium in humans may be organized in a block-like structure, with islands of high LD separated by regions of rapid breakdown of LD due to recombination hotspots. The experimental d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Genetics
دوره 175 4 شماره
صفحات -
تاریخ انتشار 2007