Variation and Probability Grading of Fruit Firmness in Peach Germplasm Resource

Objective The aim was to provide basis for further studies on fruit firmness in peach fruits and the standardization and standardization of peach germplasm resource. [ Method] The analysis of fruit firmness of peach germplasm resource was based on the improved firmness measurement, and the probability grading of characteristics was carried out on peach fruit firmness. [Result] The coefficient of variation of peach fruit firmness with skin was less than that of fruit firmness without skin; the fruit firmness with skin and fruit firmness without skin were both fitted the normal distribution; the probability grading of characteristics were divided into five series based on four points of （X-1. 281 8s）, （X-0. 524 6s）, （X＋0. 524 6s） and （X＋1.281 8s）, so that the probability of 1 -5 were 10%, 20%, 40%, 20% and 10%. [Conclusion] There was more abundant genetic basis in fruit firmness, which held a potential for greater choice.

Staged-probability strategy of processing shotgun proteomic data to discover more functionally important proteins

Biologically important proteins related to membrane receptors,signal transduction,regulation,transcription,and translation are usually low in abundance and identified with low probability in mass spectroscopy(MS)-based analyses.Most valuable proteomics information on them were hitherto discarded due to the application of excessively strict data filtering for accurate identification.In this study,we present a stagedprobability strategy for assessing proteomic data for potential functionally important protein clues.MS-based protein identifications from the second(L2)and third(L3)layers of the cascade affinity fractionation using the Trans-Proteomic Pipeline software were classified into three probability stages as 1.00–0.95,0.95–0.50,and 0.50–0.20 according to their distinctive identification correctness rates(i.e.100%–95%,95%–50%,and 50%–20%,respectively).We found large data volumes and more functionally important proteins located at the previously unacceptable lower probability stages of 0.95–0.50 and 0.50–0.20 with acceptable correctness rate.More importantly,low probability proteins in L2 were verified to exist in L3.Together with some MS spectrogram examples,comparisons of protein identifications of L2 and L3 demonstrated that the stagedprobability strategy could more adequately present both quantity and quality of proteomic information,especially for researches involving biomarker discovery and novel therapeutic target screening.