Gene editing of the wheat homologs of TONNEAU1‐recruiting motif encoding gene affects grain shape and weight in wheat

Grain size and weight are important components of a suite of yield‐related traits in crops. Here, we showed that the CRISPR‐Cas9 gene editing of TaGW7, a homolog of rice OsGW7 encoding a TONNEAU1‐recruiting motif (TRM) protein, affects grain shape and weight in allohexaploid wheat. By editing the TaGW7 homoeologs in the B and D genomes, we showed that mutations in either of the two or both genomes increased the grain width and weight but reduced the grain length. The effect sizes of mutations in the TaGW7 gene homoeologs coincided with the relative levels of their expression in the B and D genomes. The effects of gene editing on grain morphology and weight traits were dosage dependent with the double‐copy mutant showing larger effect than the respective single copy mutants. The TaGW7‐centered gene co‐expression network indicated that this gene is involved in the pathways regulating cell division and organ growth, also confirmed by the cellular co‐localization of TaGW7 with α‐ and β‐tubulin proteins, the building blocks of microtubule arrays. The analyses of exome capture data in tetraploid domesticated and wild emmer, and hexaploid wheat revealed the loss of diversity around TaGW7‐associated with domestication selection, suggesting that TaGW7 is likely to play an important role in the evolution of yield component traits in wheat. Our study showed how integrating CRISPR‐Cas9 system with cross‐species comparison can help to uncover the function of a gene fixed in wheat for allelic variants targeted by domestication selection and select targets for engineering new gene variants for crop improvement.     

干旱荒漠区生态环境质量遥感动态监测——以古尔班通古特沙漠为例

利用遥感生态指数(RSEI)对区域生态变化进行评价,可以快速、高效、客观地获取研究区生态环境变化状况.本研究以两期Landsat数据为数据源,计算研究区绿度、湿度、热度、干度4个生态因子的遥感生态指数,并基于主成分分析法确定其权重,对古尔班通古特沙漠2006—2017年间的生态环境时空格局进行定性和定量评价.结果表明: 湿度和绿度对古尔班通古特沙漠生态环境质量起正面作用,而热度和干度对生态环境质量起负面作用,其中代表绿度指标的归一化植被指数(NDVI)的贡献最大.2006—2017年间,古尔班通古特沙漠的RSEI有所下降,其均值从0.294下降至0.243,降幅达20.1%,研究区的生态环境状况呈现整体变差的趋势.古尔班通古特沙漠中部生态环境较为稳定,东北部植被覆盖密集区及南缘灌溉区生态环境质量变好,沙漠南部及西北部区域生态环境质量变差.     

体外多酶分子机器的现状和最新进展

体外多酶分子机器遵循所设计的多酶催化路径,将若干种纯化或部分纯化的酶元件进行合理的优化与适配,高效地在体外将特定的底物转化为目标化合物。体外多酶分子机器反应系统呈现元件化和模块化的特点,在设计、组装和调控方面具有较高的自由度。近年来,体外多酶分子机器在实现反应过程的精准调控和提高产品得率方面的优势逐渐体现,展示了其在生物制造领域重要的应用潜力。对体外多酶分子机器的相关研究已成为合成生物学的一个重要分支领域,日益受到广泛的关注。文中系统地综述了基于酶元件/模块的体外多酶分子机器的构建策略,以及改善该分子机器中酶元件/模块之间适配性的研究进展,并分析了该生物制造平台的发展前景与挑战。     

橄榄果实发育过程中细胞壁物质和相关酶活性变化

为了解橄榄(Canarium album)果实质地差异形成的原因,以鲜食型橄榄‘清榄1号’和加工型橄榄‘长营’为材料,对果实发育过程中细胞壁物质含量和相关酶活性进行了测定。结果表明,随着橄榄果实的成熟,‘清榄1号’较‘长营’维持较高的果胶甲酯酶(PME)活性,促进了果胶的水解,离子型果胶(ISP)含量较高而共价型果胶(CSP)含量较低。2个橄榄品种纤维素含量均较高,‘清榄1号’果实的半纤维素含量低于‘长营’。‘清榄1号’木质素含量低于‘长营’,较高的苯丙氨酸解氨酶(PAL)和过氧化物酶(POD)活性促进了木质素含量的增加。因此,ISP、CSP、半纤维素和木质素含量的不同可能是2个橄榄品种果实质地差异形成的原因。     

基于Nextflow构建的宏条形码自动化分析流程EPPS

基于宏条形码技术的物种快速检测有助于生物多样性的评估、预测和保护。本文介绍了常用宏条形码分析的步骤和参数设定方法。我们利用Nextflow搭建了一款宏条形码分析流程EPPS, 可以自动化地运行从原始数据的质量控制到环境多样性的比较。Nextflow软件还拥有流程监控的功能, 可视化输出每个进程所消耗的时间与内存。本文还使用测试数据和已发表数据证明该平台能够有效地分析宏条形码数据并可靠地分析环境生物多样性的相似性。     

An analysis of intraoperative blood transfusion of cardiac surgery in one hospital from 2014 to 2016

To investigate the usage of blood componentsfor cardiac surgery inthe First Hospital of Lanzhou University, data from January 2014 to December 2016 were collected for analysis, including the number of cardiac surgeries and blood transfusions. There were 1 589 males and 1 076 females, aged from 1 to 73 years, with an average age of (53.97 ± 11.33) years, in this study. The results showed that the rate of blood-free surgery in the hospital increased year by year,while the proportion of blood-used operation to total operations decreased every year. The ratio of plasma and platelets used in cardiac surgery decreased, while the cryoprecipitate ratio used in cardiac surgery increased. This study indicates that the transfusion medical level in cardiac surgery is improved continuously, and that the infusion of blood components has become more secure, efficient and rational.     

Breeding Potential of Some Exotic Tomato Lines: A Combined Study of Morphological Variability,Genetic Divergence,and Association of Traits

Tomato (Solanum lycopersicum L.) is called ‘the poor man’s orange’ due to its low price and improved nutritional values. An experiment was conducted to study the breeding potential of some exotic tomato lines by assessing various qualitative and quantitative traits conferring yield and quality attributes. Among the qualitative traits, greater variability was observed for growth type, stem hairiness, and fruit shape and size. A determinate growth habit was observed in the genotype AVTO9802 while the genotype AVTO0102 produced yellow color fruits. A significant (p ≤ 0.01) variation was also observed for the studied quantitative traits. Based on yield and traits attributed to yield, the genotypes AVTO0314, GPB0107, GPB0120 and AVTO9802 were selected as promising genotypes. The differences between the genotypic and phenotypic coefficients of variation (GCV and PCV) of the studied quantitative traits were very low. This suggests that the apparent variation was mainly due to the genotypes. The higher GCV and PCV values were observed for the number of primary branches plant⁻¹ (NPB), number of fruits cluster⁻¹ (NFC), individual fruit weight (IFW) and total soluble solids (TSS). High heritability was recorded for all quantitative traits in a broad sense. However, the individual fruit diameter showed the highest heritability (99.56). The highest (102.75) genetic advance (GA) was observed for the number of fruits plant⁻¹ (NFP). High heritability coupled with high GA as percentage of mean were recorded for the traits NFP, NFC, fruit yield plant⁻¹ (FYP) and IFW. FYP showed a significant positive correlation with NFC (0.714***) and a negative correlation with days to the first harvest (−0.539***) and plant height (−0.492**). Principal component analysis revealed that the first four components explained 78.5% of the total variation among the genotypes. Thus, the promising genotypes (AVTO0314, GPB0107, GPB0120, AVTO9802 and AVTO0102) isolated from this study can be used for developing high-yielding and high-quality tomato varieties.