Changes of Rubisco in Flag Leaves of Wheat with Different Quality Types during Grain Filling Stage

[ Objective] In this study, the formation mechanism of grain quality of soft wheat was investigated to provide support for soft wheat breeding. [ Meth- od] Using soft and hard wheat varieties as experimental materials, changes of Rubisco （ribulose-1,5-bisphosphate carboxylase/oxygenase） degradation in flag leav- es with different quality types during grain fillLing stage were investigated. [ Result] Chlorophyll content and Rubisco content were both gradually reduced in flag leaves of wheat cultivars with different quality types during grain filling stage. Changes of Rubisco content were insignificant at early grain firing stage, but Rubisco content in flag leaves of soft wheat was higher than that of hard wheat at mid-late grain filling stage. Degradation products of Rubisco large subunits with molecular weight of 51 kD could be detected in flag leaves of various wheat cultivars. Rubisco in flag leaves of hard wheat Zheng 9023 was significantly earlier degraded com- pared with Yangnmi 15, indicating that leaf senescence in hard wheat was earlier than soft wheat, which suggested that the protein accumulation in wheat grains may be related with Rubisco degradation in flag leaves after anthesis. [ Conclusion] This study implied the foundation of soft wheat breeding and optimization of cultiva- tion and wheat management in the field.

MicroPhenoDB Associates Metagenomic Data with Pathogenic Microbes, Microbial Core Genes, and Human Disease Phenotypes

Microbes play important roles in human health and disease.The interaction between microbes and hosts is a reciprocal relationship,which remains largely under-explored.Current computational resources lack manually and consistently curated data to connect metagenomic data to pathogenic microbes,microbial core genes,and disease phenotypes.We developed the MicroPhenoDB database by manually curating and consistently integrating microbe-disease association data.MicroPhenoDB provides 5677 non-redundant associations between 1781 microbes and 542 human disease phenotypes across more than 22 human body sites.MicroPhenoDB also provides 696,934 relationships between 27,277 unique clade-specific core genes and 685 microbes.Disease phenotypes are classified and described using the Experimental Factor Ontology(EFO).A refined score model was developed to prioritize the associations based on evidential metrics.The sequence search option in MicroPhenoDB enables rapid identification of existing pathogenic microbes in samples without running the usual metagenomic data processing and assembly.MicroPhenoDB offers data browsing,searching,and visualization through user-friendly web interfaces and web service application programming interfaces.MicroPhenoDB is the first database platform to detail the relationships between pathogenic microbes,core genes,and disease phenotypes.It will accelerate metagenomic data analysis and assist studies in decoding microbes related to human diseases.MicroPhenoDB is available through http://www.liwzlab.cn/microphenodb and http://lilab2.sysu.edu.cn/microphenodb.