ISWI proteins participate in the genome‐wide nucleosome distribution in Arabidopsis

Chromatin is a highly organized structure with repetitive nucleosome subunits. Nucleosome distribution patterns, which contain information on epigenetic controls, are dynamically affected by ATP‐dependent chromatin remodeling factors (remodelers). However, whether plants have specific nucleosome distribution patterns and how plant remodelers contribute to the pattern formation are not clear. In this study we used the micrococcal nuclease digestion followed by deep sequencing (MNase‐seq) assay to show the genome‐wide nucleosome pattern in Arabidopsis thaliana. We demonstrated that the nucleosome distribution patterns of Arabidopsis are associated with the gene expression level, and have several specific characteristics that are different from those of animals and yeast. In addition, we found that remodelers in the A. thaliana imitation switch (AtISWI) subfamily are important for the formation of the nucleosome distribution pattern. Double mutations in the AtISWI genes, CHROMATIN REMODELING 11 (CHR11) and CHR17, resulted in the loss of the evenly spaced nucleosome pattern in gene bodies, but did not affect nucleosome density, supporting a previous idea that the primary role of ISWI is to slide nucleosomes in gene bodies for pattern formation.     

Lipid changes after leaf wounding in Arabidopsis thaliana: expanded lipidomic data form the basis for lipid co‐occurrence analysis

A direct‐infusion electrospray ionization triple–quadrupole mass spectrometry method with multiple reaction monitoring (MRM) was employed to measure 264 lipid analytes extracted from leaves of Arabidopsis thaliana subjected to mechanical wounding. The method provided precise measurements with an average coefficient of variation of 6.1%. Lipid classes analyzed comprised galactolipids and phospholipids (including monoacyl molecular species, molecular species with oxidized acyl chains, phosphatidic acids (PAs)), tri‐ and tetra‐galactosyldiacylglycerols (TrGDGs and TeGDGs), head‐group‐acylated galactolipids, and head‐group‐acylated phosphatidylglycerol (acPG), sulfoquinovosyldiacylglycerols (SQDGs), sphingolipids, di‐ and tri‐acylglycerols (DAGs and TAGs), and sterol derivatives. Of the 264 lipid analytes, 254 changed significantly in response to wounding. In general, levels of structural lipids decreased, whereas monoacyl molecular species, galactolipids and phosphatidylglycerols (PGs) with oxidized fatty acyl chains, PAs, TrGDGs, TeGDGs, TAGs, head‐group‐acylated galactolipids, acPG, and some sterol derivatives increased, many transiently. The observed changes are consistent with activation of lipid oxidizing, hydrolyzing, glycosylating, and acylating activities in the wounding response. Correlation analysis of the levels of lipid analytes across individual control and treated plants was used to construct a lipid dendrogram and to define clusters and sub‐clusters of lipid analytes, each composed of a group of lipids which occurred in a coordinated manner. Current knowledge of metabolism supports the notion that observed sub‐clusters comprise lipids generated by a common enzyme and/or metabolically downstream of a common enzyme. This work demonstrates that co‐occurrence analysis, based on correlation of lipid levels among plants, is a powerful approach to defining lipids generated in vivo by a common enzymatic pathway.     

Natural products in Glycyrrhiza glabra (licorice) rhizome imaged at the cellular level by atmospheric pressure matrix‐assisted laser desorption/ionization tandem mass spectrometry imaging

The rhizome of Glycyrrhiza glabra (licorice) was analyzed by high‐resolution mass spectrometry imaging and tandem mass spectrometry imaging. An atmospheric pressure matrix‐assisted laser desorption/ionization imaging ion source was combined with an orbital trapping mass spectrometer in order to obtain high‐resolution imaging in mass and space. Sections of the rhizome were imaged with a spatial resolution of 10 μm in the positive ion mode, and a large number of secondary metabolites were localized and identified based on their accurate mass and MS/MS fragmentation patterns. Major tissue‐specific metabolites, including free flavonoids, flavonoid glycosides and saponins, were successfully detected and visualized in images, showing their distributions at the cellular level. The analytical power of the technique was tested in the imaging of two isobaric licorice saponins with a mass difference of only 0.02 Da. With a mass resolving power of 140 000 and a bin width of 5 ppm in the image processing, the two compounds were well resolved in full‐scan mode, and appeared with different distributions in the tissue sections. The identities of the compounds and their distributions were validated in a subsequent MS/MS imaging experiment, thereby confirming their identities and excluding possible analyte interference. The use of high spatial resolution, high mass resolution and tandem mass spectrometry in imaging experiments provides significant information about the biosynthetic pathway of flavonoids and saponins in legume species, combing the spatially resolved chemical information with morphological details at the microscopic level. Furthermore, the technique offers a scheme capable of high‐throughput profiling of metabolites in plant tissues.     

High‐resolution time‐resolved imaging of in vitro Arabidopsis rosette growth

Although quantitative characterization of growth phenotypes is of key importance for the understanding of essential networks driving plant growth, the majority of growth‐related genes are still being identified based on qualitative visual observations and/or single‐endpoint quantitative measurements. We developed an in vitro growth imaging system (IGIS) to perform time‐resolved analysis of rosette growth. In this system, Arabidopsis plants are grown in Petri dishes mounted on a rotating disk, and images of each plate are taken on an hourly basis. Automated image analysis was developed in order to obtain several growth‐related parameters, such as projected rosette area, rosette relative growth rate, compactness and stockiness, over time. To illustrate the use of the platform and the resulting data, we present the results for the growth response of Col–0 plants subjected to three mild stress conditions. Although the reduction in rosette area was relatively similar at 19 days after stratification, the time‐lapse analysis demonstrated that plants react differently to salt, osmotic and oxidative stress. The rosette area was altered at various time points during development, and leaf movement and shape parameters were also affected differently. We also used the IGIS to analyze in detail the growth behavior of mutants with enhanced leaf size. Analysis of several growth‐related parameters over time in these mutants revealed several specificities in growth behavior, underlining the high complexity of leaf growth coordination. These results demonstrate that time‐resolved imaging of in vitro rosette growth generates a better understanding of growth phenotypes than endpoint measurements.     

A dual‐color marker system for in vivo visualization of cell cycle progression in Arabidopsis

Visualization of the spatiotemporal pattern of cell division is crucial to understand how multicellular organisms develop and how they modify their growth in response to varying environmental conditions. The mitotic cell cycle consists of four phases: S (DNA replication), M (mitosis and cytokinesis), and the intervening G1 and G2 phases; however, only G2/M‐specific markers are currently available in plants, making it difficult to measure cell cycle duration and to analyze changes in cell cycle progression in living tissues. Here, we developed another cell cycle marker that labels S‐phase cells by manipulating Arabidopsis CDT1a, which functions in DNA replication origin licensing. Truncations of the CDT1a coding sequence revealed that its carboxy‐terminal region is responsible for proteasome‐mediated degradation at late G2 or in early mitosis. We therefore expressed this region as a red fluorescent protein fusion protein under the S‐specific promoter of a histone 3.1‐type gene, HISTONE THREE RELATED2 (HTR2), to generate an S/G2 marker. Combining this marker with the G2/M‐specific CYCB1‐GFP marker enabled us to visualize both S to G2 and G2 to M cell cycle stages, and thus yielded an essential tool for time‐lapse imaging of cell cycle progression. The resultant dual‐color marker system, Cell Cycle Tracking in Plant Cells (Cytrap), also allowed us to identify root cells in the last mitotic cell cycle before they entered the endocycle. Our results demonstrate that Cytrap is a powerful tool for in vivo monitoring of the plant cell cycle, and thus for deepening our understanding of cell cycle regulation in particular cell types during organ development.     

节腹泥蜂族分类研究进展

本文对节腹泥蜂族的分类研究现状进行了总结。该族目前世界已知2属911种。文中对该族的分类研究简史和生物学特性作了简要概述,并对种类的地理分布作了统计分析。     

遥感技术在昆虫生态学中的应用途径与进展

结合雷达、航空和卫星遥感本身的特点 ,从害虫本身、害虫所造成的危害、影响害虫发展的环境因子三方面介绍了遥感技术在区域性害虫的早期监测及预测中的应用途径与最新进展。针对害虫本身的个体大小、可动性和种群所在空间尺度的影响 ,作者强调应发挥不同遥感系统各自独特的优势 ,同时 ,综合应用“3S”技术和时空模型方法 ,才能够实现害虫动态的可视化、立体化、实时化和精确化监测及预测。     

Climate trends account for stalled wheat yields in Australia since 1990

Global food security requires that grain yields continue to increase to 2050, yet yields have stalled in many developed countries. This disturbing trend has so far been only partially explained. Here, we show that wheat yields in Australia have stalled since 1990 and investigate the extent to which climate trends account for this observation. Based on simulation of 50 sites with quality weather data, that are representative of the agro‐ecological zones and of soil types in the grain zone, we show that water‐limited yield potential declined by 27% over a 26 year period from 1990 to 2015. We attribute this decline to reduced rainfall and to rising temperatures while the positive effect of elevated atmospheric CO₂ concentrations prevented a further 4% loss relative to 1990 yields. Closer investigation of three sites revealed the nature of the simulated response of water‐limited yield to water availability, water stress and maximum temperatures. At all three sites, maximum temperature hastened time from sowing to flowering and to maturity and reduced grain number per m² and average weight per grain. This 27% climate‐driven decline in water‐limited yield is not fully expressed in actual national yields. This is due to an unprecedented rate of technology‐driven gains closing the gap between actual and water‐limited potential yields by 25 kg ha^?1 yr^?1 enabling relative yields to increase from 39% in 1990 to 55% in 2015. It remains to be seen whether technology can continue to maintain current yields, let alone increase them to those required by 2050.     

Next‐generation sequencing (NGS)‐based identification of induced mutations in a doubly mutagenized tomato (Solanum lycopersicum) population

The identification of mutations in targeted genes has been significantly simplified by the advent of TILLING (Targeting Induced Local Lesions In Genomes), speeding up the functional genomic analysis of animals and plants. Next‐generation sequencing (NGS) is gradually replacing classical TILLING for mutation detection, as it allows the analysis of a large number of amplicons in short durations. The NGS approach was used to identify mutations in a population of Solanum lycopersicum (tomato) that was doubly mutagenized by ethylmethane sulphonate (EMS). Twenty‐five genes belonging to carotenoids and folate metabolism were PCR‐amplified and screened to identify potentially beneficial alleles. To augment efficiency, the 600‐bp amplicons were directly sequenced in a non‐overlapping manner in Illumina MiSeq, obviating the need for a fragmentation step before library preparation. A comparison of the different pooling depths revealed that heterozygous mutations could be identified up to 128‐fold pooling. An evaluation of six different software programs (camba , crisp , gatk unified genotyper , lofreq , snver and vipr ) revealed that no software program was robust enough to predict mutations with high fidelity. Among these, crisp and camba predicted mutations with lower false discovery rates. The false positives were largely eliminated by considering only mutations commonly predicted by two different software programs. The screening of 23.47 Mb of tomato genome yielded 75 predicted mutations, 64 of which were confirmed by Sanger sequencing with an average mutation density of 1/367 Kb. Our results indicate that NGS combined with multiple variant detection tools can reduce false positives and significantly speed up the mutation discovery rate.     

Generation of chromosomal deletions in dicotyledonous plants employing a user‐friendly genome editing toolkit

Genome editing facilitated by Cas9‐based RNA‐guided nucleases (RGNs) is becoming an increasingly important and popular technique for reverse genetics in both model and non‐model species. So far, RGNs were mainly applied for the induction of point mutations, and one major challenge consists in the detection of genome‐edited individuals from a mutagenized population. Also, point mutations are not appropriate for functional dissection of non‐coding DNA. Here, the multiplexing capacity of a newly developed genome editing toolkit was exploited for the induction of inheritable chromosomal deletions at six different loci in Nicotiana benthamiana and Arabidopsis. In both species, the preferential formation of small deletions was observed, suggesting reduced efficiency with increasing deletion size. Importantly, small deletions (<100 bp) were detected at high frequencies in N. benthamiana T₀ and Arabidopsis T₂ populations. Thus, targeting of small deletions by paired nucleases represents a simple approach for the generation of mutant alleles segregating as size polymorphisms in subsequent generations. Phenotypically selected deletions of up to 120 kb occurred at low frequencies in Arabidopsis, suggesting larger population sizes for the discovery of valuable alleles from addressing gene clusters or non‐coding DNA for deletion by programmable nucleases.