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Song, B.

Publications and source records attributed to Song, B..

77 records · Page 5Linked to original sources

A weighted sequence alignment strategy for gene structure annotation lift over from reference genome to a newly sequenced individual

Genome sequences and gene structure annotation are very important for genomic analysis, while only the reference gene structure annotation is widely used for a wide range of investigations of different natural variation individuals. Herein, we are reporting the software GEAN which could lift over the reference gene structure annotation to other individuals belonging to the same or closely related species whose genome sequence was determined by whole-genome resequencing or de novo assembly. We found that inconsistent sequence alignment makes the coordinate lift over between different individual genomes unreliable, thus obscuring the lift over of gene structure annotations and genomic variants functional prediction. We designed a zebraic dynamic programming (ZDP) algorithm by providing different weights to different genetic features to refine the gene structure lift over. Using the lift over gene structure annotation as anchors, a base-pair resolution whole-genome-wide sequence alignment and variant calling pipeline for de novo assembly have been implemented. Taking Arabidopsis thaliana as example, we show that the natural variation alleles expression level of apoptosis death and defence response related genes might could be better quantified using GEAN. And GEAN could be used to refine the functional annotation of genetic variants, annotate de novo assembly genome sequence, detect syntenic blocks, improve the quantification of gene expression levels using RNA-seq data and genomic variants encoding for population genetic analysis. We expect that GEAN will be a standard gene structure annotation lift over and genome sequence alignment tool for the coming age of de novo assembly population genetics analysis.

plant biology↗

Draft genome sequence of the Solanum aethiopicum provides insights into disease resistance, drought tolerance and the evolution of the genome

BackgroundS. aethiopicum is a close relative to S. melongena and has been routinely used to improve disease resistance in S. melongena. However, these efforts have been greatly limited by the lack of a reference genome and the clear understanding of the genes involved during biotic and abiotic stress response. ResultsWe present here a draft genome assembly of S. aethiopicum of 1.02 Gb in size, which is predominantly occupied by repetitive sequences (76.2%), particularly long terminal repeat elements. We annotated 37,681 gene models including 34,905 protein-coding genes. We observed an expansion of resistance genes through two rounds of amplification of LTR-Rs, occurred around 1.25 and 3.5 million years ago, respectively. The expansion also occurred in gene families related to drought tolerance. A number of 14,995,740 SNPs are identified by re-sequencing 65 S. aethiopicum genotypes including "Gilo" and "Shum" accessions, 41,046 of which are closely linked to resistance genes. The domestication and demographic history analysis reveals selection of genes involved in drought tolerance in both "Gilo" and "Shum" groups. A pan-genome of S. aethiopicum with a total of 36,250 protein-coding genes was assembled, of which 1,345 genes are missing in the reference genome. ConclusionsOverall, the genome sequence of S. aethiopicum increases our understanding of the genomic mechanisms of its extraordinary disease resistance and drought tolerance. The SNPs identified are available for potential use by breeders. The information provided here will greatly accelerate the selection and breeding of the African eggplant as well as other crops within the Solanaceae family.

genomics↗

Gene Panel Sequencing in a Chinese High-risk Breast Cancer Cohort

Currently, over 20 genes have been defined that can confer susceptibility for high-risk breast cancer. Although research has proved the utility of multiple-gene sequencing in the assessment of breast cancer risk, there is little data from China patients. Here, we use a multiple-gene sequencing panel to identify the variant spectrum in Chinese high-risk breast cancer subjects.\n\nA total of 829 Chinese high-risk breast cancer patients participated in the research. The coding regions of 115 hereditary cancer susceptibility genes were sequenced using a next generation sequencing platform. In total, 193 pathogenic variants were identified in 45 genes from 177 patients. The pathogenic variant carrier rate is 21.4%: with 10.5% patients carrying a BRCA1 or BRCA2 mutation only, 10.0% of patients carried non-BRCA gene mutations only, while 1.0% of patients carried both a BRCA1/2 and a non-BRCA gene mutation. Variants of uncertain significance (VUS) totaling 2632 were identified in 115 genes from 787 of 829 patients: 82.5% patients carried more than one VUS, and only 5.1% patients did not carry any VUS. Families carrying pathogenic variants were tracked and adenoma was founded in three of them. Our data provide a comprehensive analysis of potential susceptibility variations of high-risk for breast cancer in a Chinese population. This data will be useful for the comparison of the susceptibility variation spectrum between different populations and to discover potential pathogenic variants to improve the prevention and treatment of high-risk breast cancer.

cancer biology↗

Enhanced nitrous oxide production in denitrifying Dechloromonas aromatica strain RCB under salt and alkaline conditions

Salinity and pH are important environmental parameters with direct and indirect impacts on the viability and metabolic activities of microorganisms. In this study, the effects of salt and alkaline stresses on the kinetic balance between nitrous oxide (N2O) production and consumption in the denitrification pathway of Dechloromonas aromatica strain RCB were examined. N2O accumulated transiently only in insignificant amounts at low salinity ([≤]0.5% NaCl) and circumneutral pH (7.0 and 7.5). Incubation at 0.7% salinity resulted in substantially longer lag phase and slower growth rate, along with the increase in the amounts of transiently accumulated N2O (15.8{+/-}2.8 moles N2O-N/vessel). Incubation at pH 8.0 severely inhibited growth and resulted in permanent accumulation of 29.9{+/-}1.3 moles N2O-N/vessel from reduction of 151{+/-}20 moles NO3-. The transcription analyses observed decreased nosZ/(nirS1+nirS2) ratios coinciding with N2O accumulation. The N2O consumption rates of resting D. aromatica cells subjected to the salt and alkaline stress conditions were significantly lower than the rates of N2O production from NO2- reduction at N2O / NO2- concentration of 0.1 mM, but not at a higher concentration (1.0 mM). These results indicate that alteration in N2O consumption kinetics was another cause of enhanced N2O production observed under the stress conditions. The findings in this study suggest that canonical denitrifiers may become a significant N2O source when faced with abrupt environmental changes.

microbiology↗

Cell rounding causes genomic instability by dissociation of single-stranded DNA-binding proteins

Genomic instability can cause a wide range of diseases, including cancer and cellular senescence, which is also a major challenge in stem cell therapy. However, how a single event can cause extremely high levels of genomic instability remains unclear. Using our developed method, cell in situ electrophoresis (CISE), and models of normal, cancer, and embryonic stem cells, we found that cell rounding as a catastrophic source event ubiquitously observed in vivo and in vitro might lead to large-scale DNA deprotection, genomic instability, chromosomal shattering, cell heterogeneity, and senescent crisis by dissociation of single-stranded DNA-binding proteins (SSBs). Understanding the mechanism may facilitate the development of clinical strategies for cancer therapy, improve the safety of stem cell therapy, and prevent pathological aging.

cell biology↗