Molecular and Cytological Comparisons of Chromosomes 7el1, 7el2, 7E(e), and 7E ⁱ Derived from Thinopyrum.

Thinopyrum chromosomes 7el1, 7el2, 7E(e), and 7E(i), homoeologous to group 7 chromosomes of common wheat (Triticum aestivum), were determined to have many useful agronomical traits for wheat improvement. To analyze the genetic relationships among the 4 Thinopyrum 7E chromosomes, the conserved orthologous set markers, genomic in situ hybridization (GISH), and meiotic chromosome pairing were used in this study. The unweighted pair-group method with arithmetical averages (UPGMA) analysis indicated that 7el1, derived from T. ponticum, and 7E(i), derived from T. intermedium, were the most closely related. 7el2, derived from T. ponticum, was relatively distant from the 7el1-7E(i) complex. While 7E(e), derived from T. elongatum, was more distantly related to 7el1, 7el2, and 7E(i). This is the first report showing that 7el1 and 7E(i) may be similar, which could be explained by the similar chromosome signal distribution revealed by GISH as well as UPGMA analysis revealed by both molecular markers and the highest frequency of meiotic pairing. The newly developed genome-specific molecular markers may be useful for marker-assisted selection of Lr19, Bdv3, and Fhblop.

Acetylated anthraquinone glycosides from Cassia obtusifolia.

Three new acetylated anthraquinone glycosides (1-3) were isolated from the seed of Cassia obtusifolia, together with one parent anthraquinone glycoside (1a). Their structures were determined on the basis of spectroscopic methods and physicochemical properties as obtusifoline-2-O-ß-d-2, 6-di-O-acetylglucopyranoside (1), obtusifoline-2-O-ß-d-glucopyranoside (1a), obtusifoline-2-O-ß-d-3, 6-di-O-acetylglucopyranoside (2), and obtusifoline-2-O-ß-d-4, 6-di-O-acetylglucopyranoside (3).

Preprocessing of tandem mass spectrometric data based on decision tree classification.

In this study, we present a preprocessing method for quadrupole time-of-flight (Q-TOF) tandem mass spectra to increase the accuracy of database searching for peptide (protein) identification. Based on the natural isotopic information inherent in tandem mass spectra, we construct a decision tree after feature selection to classify the noise and ion peaks in tandem spectra. Furthermore, we recognize overlapping peaks to find the monoisotopic masses of ions for the following identification process. The experimental results show that this preprocessing method increases the search speed and the reliability of peptide identification.