Prediction of head and neck squamous cell carcinoma survival based on the expression of 15 lncRNAs

Recent evidence suggests that long noncoding RNAs (lncRNAs) are essential regulators of many cancer-related processes, including cancer cell proliferation, invasion, and migration. There is thus a reason to believe that the detection of lncRNAs may be useful as a diagnostic and prognostic strategy for cancer detection, however, at present no effective genome-wide tests are available for clinical use, constraining the use of such a strategy. In this study, we performed a comprehensive assessment of lncRNAs expressed in samples in the head and neck squamous cell carcinoma (HNSCC) cohort available in The Cancer Genome Atlas database. A risk score (RS) model was constructed based on the expression data of these 15 lncRNAs in the validation data set of HNSCC patients and was subsequently validated in validation data set and the entire data set. We were able to stratify patients into high- and low-risk categories, using our lncRNA expression panel to determine an RS, with significant differences in overall survival (OS) between these two groups in our test set (median survival, 1.863 vs. 5.484 years; log-rank test, p < 0.001). We were able to confirm the predictive value of our 15-lncRNA signature using both a validation data set and a full data set, finding our signature to be reproducible and effective as a means of predicting HNSCC patient OS. Through the multivariate Cox regression and stratified analyses, we were further able to confirm that the predictive value of this RS was independent of other predictive factors such as clinicopathological parameters. The Gene set enrichment analysis revealed potential functional roles for these 15 lncRNAs in tumor progression. Our findings indicate that an RS established based on a panel of lncRNA expression signatures can effectively predict OS and facilitate patient stratification in HNSCC.     

Structural variation in two human genomes mapped at single-nucleotide resolution by whole genome de novo assembly

Here we use whole-genome de novo assembly of second-generation sequencing reads to map structural variation (SV) in an Asian genome and an African genome. Our approach identifies small- and intermediate-size homozygous variants (1-50 kb) including insertions, deletions, inversions and their precise breakpoints, and in contrast to other methods, can resolve complex rearrangements. In total, we identified 277,243 SVs ranging in length from 1-23 kb. Validation using computational and experimental methods suggests that we achieve overall <6% false-positive rate and <10% false-negative rate in genomic regions that can be assembled, which outperforms other methods. Analysis of the SVs in the genomes of 106 individuals sequenced as part of the 1000 Genomes Project suggests that SVs account for a greater fraction of the diversity between individuals than do single-nucleotide polymorphisms (SNPs). These findings demonstrate that whole-genome de novo assembly is a feasible approach to deriving more comprehensive maps of genetic variation.     

福建柏开花与结实物候期的研究

福建柏1年2次花期,春花期4—5月,果期当年10月,种子无生活力;秋花期9～10月,果期翌年10月,种子有生活力,有效花期在秋季。开花结实的生物学及物候学特性与适生区的地点、地类、海拔、温度等地理气候因子紧密相关,总体变异规律：秋花期、球果成熟期、种子散落期山区比半山区早,半山区比丘陵区早,高海拔地区比低海拔地区早．发芽率山区〉半山区〉丘陵区。     

檵木与红花檵木的解剖结构研究

对7个不同地点的野生檵木、野生红花檵木、栽培红花檵木花的解剖结构进行了研究,浏阳大围山野生檵木花的数性遗传结构与其它地区的野生檵木有较大差异,4数性花和5～6数性花各占50%;红花檵木野生和栽培类型均以5数性花数量居多,不同于文献记载的檵木属植物4数性花的分类属征(每朵花花瓣、雄蕊、退化雄蕊及萼片均为4数).利用花的结构遗传变异探讨了红花檵木的起源和品种演化历史.     

湖南永顺县落叶木莲资源考察研究

首次报道湘西武陵山地永顺县发现国家一级保护植物落叶木莲。分布面积2000 hm2,多呈散生分布,稀有小面积群落,成年大树有5000余株,胸径5 cm以下幼树及小苗有20000余株。落叶木莲群落属常绿与落叶阔叶混交林,分布海拔400~900 m的山坡中下部,主要有枫香、野漆树、落叶木莲和甜槠、星毛石栎、落叶木莲等群落类型。此前,落叶木莲仅分布江西幕阜山地宜春市明月山,是木兰科木莲属极度濒危的唯一一个落叶树种,对探讨被子植物的起源和木兰科的系统演化有重要的科学意义。     

Isolation and functional analysis of MxNAS3 involved in enhanced iron stress tolerance and abnormal flower in transgenic Arabidopsis

Metal trace elements, such as Fe, Zn, and Mn, are necessary micronutrients required by all plants. In this study, the MxNAS3 gene was cloned from Malus xiaojinensis and MxNAS3 was localized in the cytoplasmic membrane. The expression level of MxNAS3 in root and new leaf was higher than in mature leaf and phloem, which was greatly influenced by high and low Fe stresses, IAA and ABA treatments in M. xiaojinensis. Over-expression of MxNAS3 in transgenic Arabidopsis thaliana contributed to enhanced Fe stress tolerance, as well as higher levels of root length, fresh weight, concentrations of chlorophyll, nicotianamine, Fe, Zn, and Mn, especially under high and low Fe stresses. More importantly, it was the first time for us to find that higher expression of MxNAS3 in transgenic A. thaliana contributed to misshappen flowers. Moreover, the MxNAS5-OE A. thaliana had increased expression levels of flowering-related genes (AtYSL1, AtYSL3, AtAFDL, AtAP1, ATMYB21, and AtSAP).     

Revealing genetic diversity of tree peonies at micro-evolution level with hyper-variable chloroplast markers and floral traits

Key message

Highly variable regions of chloroplast genome were found to be useful in the detection of plant genetic diversity at micro-evolution level. Our methodology will improve understanding and conservation of plant diversity.

Abstract

Tree peonies are famous flowers with about 2,000 cultivars in the world, belonging to Paeonia sect. Moutan of the Paeoniaceae. They are traditionally classified based on flower forms and colors. Due to the limited number of DNA and morphological markers, and the existence of synonyms and homonyms, evaluation on genetic diversity of so many cultivars remains a challenge. In most cases, it is difficult and even impossible to discriminate tree peony cultivars when they are not in flower. In this study, single nucleotide polymorphism detected from the hyper-variable regions of chloroplast genome was employed to separate tree peony cultivars into different maternal lineages which can be expressed briefly by a nucleotide molecular formula. Our approach enabled a much higher resolution of cultivar identification and classification that has not been obtained before. The newly developed hyper-variable chloroplast markers, as an independent source of taxonomic characteristics, provided novel evidences and higher resolution ability that are helpful in building an effective classification system for evaluation, conservation, and utilization of the tree peony germplasm resources at cultivar level.