[Comparation and utilization of crop-omics databases].

Omics plays an important role in life sciences, which studies all the components and their interrelations as a whole. The omics databases collected and sorted out the relevant information to support omics research. The crop-omics database, based on the major food crop information, especially on the sequencing information and data mining, is set up to improve the basic research level of crop sciences and production, which potentially benefit our grain stock. Here, we summarize crop genomics, transcriptomics, proteomics, metabolomics and phenomics, explore the development and utilization status of crop-omics, and reveal that the comprehensive utilization of multiple omics databases has become an important research method for crop sciences in the era of high throughput information.

Phylogenetic and recombination analysis of rice black-streaked dwarf virus segment 9 in China.

Rice black-streaked dwarf virus (RBSDV) is an economically important virus that causes maize rough dwarf disease and rice black-streaked dwarf disease in East Asia. To study RBSDV variation and recombination, we examined the segment 9 (S9) sequences of 49 RBSDV isolates from maize and rice in China. Three S9 recombinants were detected in Baoding, Jinan, and Jining, China. Phylogenetic analysis showed that Chinese RBSDV isolates could be classified into two groups based on their S9 sequences, regardless of host or geographical origin. Further analysis suggested that S9 has undergone negative and purifying selection.

[Comparative QTL mapping of resistance to sugarcane mosaic virus in maize based on bioinformatics].

The development of genomics and bioinformatics offers new tools for comparative gene mapping. In this paper, an integrated QTL map for Sugarcane mosaic virus (SCMV) resistance in maize was constructed by compiling a total of 81 QTL loci available with the Genetic Map IBM2 2005 Neighbors as reference. These 81 QTL loci were scattered on 7 chromosomes of maize, and most of them was clustered on chromosome 3 and 6. By using meta- analysis method, we identified one and two "consensus QTLs" on chromosomes 3 and 6, respectively. These three QTLs cover the genetic distances of 6.44 cM, 6.16 cM and 27.48 cM on the genetic map IBM2 2005 Neighbors, respectively. Four positional candidate resistant genes were identified within the "consensus QTL" on chromosome 3 via comparative genomics strategy. These results suggested that application of the combined meta-analysis within a species with sequence homologous comparison in a related model plant is an efficient approach to identify the major QTL and its candidate gene(s) for the target traits. The results of this study provided useful information for identifying and cloning of the major gene(s) conferring resistance to SCMV in maize.

Towards an expanded linkage map and exploration on co-dominant scoring of AFLPs in maize.

Simple sequence repeats (SSRs) and amplified fragment length polymorphisms (AFLPs) have become the most important markers for molecular mapping. Primarily based on restriction fragment length polymorphism (RFLP) markers, extensive linkage maps of maize had been developed. To construct a near-saturated genetic linkage map, an expanded maize genetic linkage map was constructed using a population of 234 F2 individuals derived from a cross of X178 and B73 base on an essential SSR framework map of maize. The level of polymorphisms and genetic properties of SSR and AFLP markers were characterized. A total of 249 markers consisting of 130 SSRs and 119 AFLPs have been landed on 10 chromosomes of maize. The 249-locus map spanned 1 659.3 centi-morgans (cM) and had a mean density of 6.66 cM. This mapping population and related information should connect further research involving analysis of quantitative trait loci, comparative genomics, and heterosis. Moreover, in many studies, AFLPs were analyzed on the basis of the presence or absence of a band on the electrophoresis gels. A new method based on double polymorphic bands of co-dominant scoring of AFLPs was explored according to the similarity of loci amplified from AFLP enzyme combination.