Dongling Zhang

A core collection and mini core collection of Oryza sativa L. in China

The extent of and accessibility to genetic variation in a large germplasm collection are of interest to biologists and breeders. Construction of core collections (CC) is a favored approach to efficient exploration and conservation of novel variation in genetic resources. Using 4,310 Chinese accessions of Oryza sativa L. and 36 SSR markers, we investigated the genetic variation in different sized sub-populations, the factors that affect CC size and different sampling strategies in establishing CC. Our results indicated that a mathematical model could reliably simulate the relationship between genetic variation and population size and thus predict the variation in large germplasm collections using randomly sampled populations of 700–1,500 accessions. We recommend two principles in determining the CC size: (1) compromising between genetic variation and genetic redundancy and (2) retaining the main types of alleles. Based on the most effective scheme selected from 229 sampling schemes, we finally developed a hierarchical CC system, in which different population scales and genetic diversities allow a flexible use of genetic resources. The CC, comprising 1.7% (932) of the accessions in the basic collection, retained more than 85% of both the SSR and phenotypic variations. A mini core collection, comprising 0.3% (189) of the accessions in the basic collection, retained 70.65% of the SSR variation and 76.97% of the phenotypic variation, thus providing a rational framework for intensive surveys of natural variation in complex traits in rice genetic resources and hence utilization of variation in rice breeding.

Genetic structure and differentiation of Oryza sativa L. in China revealed by microsatellites.

China is one of the largest centers of genetic diversity of Oryza sativa L. in the world. Using a genetically representative primary core collection of 3,024 rice landraces in China, we analyzed the genetic structure and intraspecific differentiation of O. sativa, and the directional evolution of SSR. The genetic structure was investigated by model-based structure analysis and construction of neighbor-joining phylogenetic tree. Comparison between genetic structure and predefined populations according to Ting’s taxonomic system revealed a hierarchical genetic structure: two distinct subspecies, each with three ecotypes and different numbers of geo-ecogroups within each ecotype. Two subspecies evidently resulted from adaptation to different environments. The different cropping systems imposed on the subspecies led to further differentiation, but the variation within each subspecies resulted from different causes. Indica, under tropical-like or lowland-like environments, exhibited clear differentiation among seasonal ecotypes, but not among soil-watery ecotypes; and japonica showed clear differences between soil water regime ecotypes, but not among seasonal ecotypes. Chinese cultivated rice took on evident directional evolution in microsatellite allele size at several aspects, such as subspecies and geographical populations. Japonica has smaller allele sizes than indica, and this may partly be the result of their different domestication times. Allele size was also negatively correlated with latitude and altitude, and this may be interpreted by different mutation rates, selection pressures, and population size effects under different environments and cropping systems.

Genetic analysis of cold tolerance at the germination and booting stages in rice by association mapping.

Low temperature affects the rice plants at all stages of growth. It can cause severe seedling injury and male sterility resulting in severe yield losses. Using a mini core collection of 174 Chinese rice accessions and 273 SSR markers we investigated cold tolerance at the germination and booting stages, as well as the underlying genetic bases, by association mapping. Two distinct populations, corresponding to subspecies indica and japonica showed evident differences in cold tolerance and its genetic basis. Both subspecies were sensitive to cold stress at both growth stages. However, japonica was more tolerant than indica at all stages as measured by seedling survival and seed setting. There was a low correlation in cold tolerance between the germination and booting stages. Fifty one quantitative trait loci (QTLs) for cold tolerance were dispersed across all 12 chromosomes; 22 detected at the germination stage and 33 at the booting stage. Eight QTLs were identified by at least two of four measures. About 46% of the QTLs represented new loci. The only QTL shared between indica and japonica for the same measure was qLTSSvR6-2 for SSvR. This implied a complicated mechanism of old tolerance between the two subspecies. According to the relative genotypic effect (RGE) of each genotype for each QTL, we detected 18 positive genotypes and 21 negative genotypes in indica, and 19 positive genotypes and 24 negative genotypes in japonica. In general, the negative effects were much stronger than the positive effects in both subspecies. Markers for QTL with positive effects in one subspecies were shown to be effective for selection of cold tolerance in that subspecies, but not in the other subspecies. QTL with strong negative effects on cold tolerance should be avoided during MAS breeding so as to not cancel the effect of favorable QTL at other loci.

Assessing indica-japonica differentiation of improved rice varieties using microsatellite markers.

To assess the indica-japonica differentiation of improved rice varieties, a total of 512 modern varieties including 301 indica and 211 japonica accessions were analyzed using 36 microsatellites. The Fst coefficients ranged from 0.002 to 0.730 among the loci with an average of 0.315. Significant differentiation was detected at 94.4% of the loci studied (P < 0.05, pairwise Fst tests), indicating that there was a high level of indica-japonica differentiation within the improved varieties. At 18 loci, about 74%-98% of the alleles of indica and japonica accessions were distributed in two ranges of amplicon length. Linkage disequilibrium analysis showed that the distribution trends were significantly nonrandomly associated. Using the differentiation trends at the 18 loci, microsatellite index (MI) was proposed for discrimination of the two subspecies. When rice accessions with MI value greater than zero were classified as indica, and those with MI value smaller than zero were classified as japonica, about 96.1% of the accessions could be classified. This result agrees with the classification based on morphological-physiological characters, indicating that this method is feasible and effective.

Genetic Structure and Eco-Geographical Differentiation of Cultivated Keng Rice (Oryza sativa L. subsp. japonica) in China Revealed by Microsatellites

Indica is not only an important rice subspecies widely planted in Asia and the rest of the world, but it is also the genetic background of the majority of hybrid varieties in China. Studies on genetic structure and genetic diversity in indica germplasm resources are important for the classification and utilization of cultivated rice in China. Using a genetically representative core collection comprising 1482 Chinese indica landraces, we analysed the genetic structure, geographic differentiation and diversity. Model-based structure analysis of varieties within three ecotypes revealed nine eco-geographical types partially accordant with certain ecological zones in China. Differentiation of eco-geographical types was attributed to local ecological adaption and physical isolation. These groups may be useful for developing heterotic groups of indica. To facilitate the identification of different ecotypes and eco-geographical types, we identified characteristic SSR alleles of each ecotype and eco-geographical type and a rapid index of discrimination based on characteristic alleles. The characteristic alleles and rapid discrimination index may guide development of heterotic groups, and selection of hybrid parents.