Molecular mapping of qBK1 WD , a major QTL for bakanae disease resistance in rice.

BACKGROUND: Bakanae or foot rot disease is a prominent disease of rice caused by Gibberella fujikuroi. This disease may infect rice plants from the pre-emergence stage to the mature stage. In recent years, raising rice seedlings in seed boxes for mechanical transplanting has increased the incidence of many seedling diseases; only a few rice varieties have been reported to exhibit resistance to bakanae disease. In this study, we attempted to identify quantitative trait loci (QTLs) conferring bakanae disease resistance from the highly resistant japonica variety Wonseadaesoo. RESULTS: A primary QTL study using the genotypes/phenotypes of the recombinant inbred lines (RILs) indicated that the locus qBK1 WD conferring resistance to bakanae disease from Wonseadaesoo was located in a 1.59 Mb interval delimited on the physical map between chr01_13542347 (13.54 Mb) and chr01_15132528 (15.13 Mb). The log of odds (LOD) score of qBK1 WD was 8.29, accounting for 20.2% of the total phenotypic variation. We further identified a gene pyramiding effect of two QTLs, qBK WD and previously developed qBK1. The mean proportion of healthy plant for 31 F4 RILs that had no resistance genes was 35.3%, which was similar to that of the susceptible check variety Ilpum. The proportion of healthy plants for the lines with only qBK WD or qBK1 was 66.1% and 55.5%, respectively, which was significantly higher than that of the lines without resistance genes and that of Ilpum. The mean proportion of the healthy plant for 15 F4 RILs harboring both qBK WD and qBK1 was 80.2%, which was significantly higher than that of the lines with only qBK WD or qBK1. CONCLUSION: Introducing qBK WD or pyramiding the QTLs qBK WD and qBK1 could provide effective tools for breeding rice with bakanae disease resistance. To our knowledge, this is the first report on a gene pyramiding effect that provides higher resistance against bakanae disease.

Tomographic imaging of a suspending single live cell using optical tweezer-combined full-field optical coherence tomography.

We propose a label-free depth-resolved tomographic scheme for imaging a single live cell in fluid. This approach utilizes a modified time-domain full-field optical coherence tomography (FF-OCT) system combined with an optical tweezer technique. The optical trap for holding a moving specimen is made by tightly focusing a 1064 nm Q-switching pulsed laser beam with a 1.0 NA microscope objective in the sample arm of the FF-OCT part. By cosharing the probe for both systems, the optical actions of trapping and cellular resolution tomographic imaging could be achieved simultaneously. Feasibility of the combined system is demonstrated by imaging micron-sized polystyrene beads and a living suspension cell in medium.

Gel-based proteomics approach for detecting low nitrogen-responsive proteins in cultivated rice species.

Nitrogen fertilization is essential for increasing rice production to meet the food demands of increasing world's population. We established an in vivo hydroponic rice seedling culture system to investigate physio-biochemical/molecular responses of various rice japonica and indica cultivars to low nitrogen (N). Three-week-old seedlings grown in Yoshida's nutrient solution manifested stable and reproducible symptoms, such as reduced shoot growth and length under low N. Out of 12 genetically selected cultivars, 11 cultivars showed varied degrees of growth reduction response to applied N (4 and 40 ppm N for treatment and control, respectively), whereas one cultivar (no. 12) showed similar growth as the control though its leaf width was smaller than control. Leaves of a representative low N-responsive cultivar (BG90-2) were sampled for revealing protein profiles between low and normal (control) N application by two-dimensional gel electrophoresis (2-DGE). Forty-one proteins were identified with MALDI-TOF-MS and nESI-LC-MS/MS. Assignment of proteins into major (energy metabolism, photosynthesis and oxidative stress) and minor functional categories, revealed many novel low N-responsive proteins, including those having energy/photosynthesis- and defense/stress- and iron homeostasis-related functions. Results suggest the usefulness of proteomics in identifying novel N-responsive proteins and may provide potential markers for rice response to low N.