Objective To analyze the genetic difference of biological characters on germplasm resources of fenugreek(Trigonella foenumgraecum) and to study the genetic diversity of them.Methods Thirty-two fenugreek germplasm resources from Ningxia, other provinces in China,and abroad were used to investigate the biological characters on plant height,pod formation height,nodes per main stem,branches number,effective pod per plant and so on.The tested materials were planted in the farm of Ningxia University.The genetic diversity based on the phenotype was analyzed by Word′s minimum variance method.Results The variance analyses of ten biological characters were of significance or the most significance except pod length.The branches number and effective pod per plant possessed the largest coefficient of variance(CV). The pairwise Euclidean distance of the tested materials ranged from 1.11 to 9.49,averaged 4.01.Mean Euclidean distance of single tested material ranged from 2.94 to 6.54.The tested germplasm resources could be divided into three groups in D=6.86,which coincided with the district of collecting germplasm resources on the whole.Conclusion There is a little genetic difference in various fenugreek germplasm resources.Compared with Euclidean distance of germplasm resources from Ningxia,the Euclidean distance of most from abroad is far away from that of other provinces in China.

The Genome Warehouse (GWH) is a public repository housing genome assembly data for a wide range of species and delivering a series of web services for genome data submission, storage, release, and sharing. As one of the core resources in the National Genomics Data Center (NGDC), part of the China National Center for Bioinformation (CNCB;https://ngdc.cncb.ac.cn), GWH accepts both full and partial (chloroplast, mitochondrion, and plasmid) genome sequences with different assembly levels, as well as an update of existing genome assemblies. For each assembly, GWH collects detailed genome-related metadata of biological project, biological sample, and genome assembly, in addition to genome sequence and annotation. To archive high-quality genome sequences and annotations, GWH is equipped with a uniform and standardized procedure for quality control. Besides basic browse and search functionalities, all released genome sequences and annotations can be visualized with JBrowse. By May 21, 2021, GWH has received 19,124 direct submissions covering a diversity of 1108 species and has released 8772 of them. Collectively, GWH serves as an important resource for genome-scale data management and provides free and publicly accessible data to support research activities throughout the world. GWH is publicly accessible at https://ngdc.cncb.ac.cn/gwh.

On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integra-tion of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation,and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, hap-lotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.