Glycerolipid synthesis in Chlorella kessleri 11h: I. Existence of a eukaryotic pathway

The fatty acid distributions at the sn-1 and sn-2 positions in major chloroplast lipids of Chlorella kessleri 11h, monogalactosyl diacylglycerol (MGDG) and digalactosyl diacylglycerol (DGDG), were determined to show the coexistence of both C₁₆ and C₁₈ acids at the sn-2 position, i.e. of prokaryotic and eukaryotic types in these galactolipids. For investigation of the biosynthetic pathway for glycerolipids in C. kessleri 11h, cells were fed with [¹⁴C]acetate for 30 min, and then the distribution of the radioactivity among glycerolipids and their constituent fatty acids during the subsequent chase period was determined. MGDG and DGDG were labeled predominantly as the sn-1-C₁₈-sn-2-C₁₆ (C₁₈/C₁₆) species as early as by the start of the chase, which suggested the synthesis of these lipids within chloroplasts via a prokaryotic pathway. On the other hand, the sn-1-C₁₈-sn-2-C₁₈ (C₁₈/C₁₈) species of these galactolipids gradually gained radioactivity at later times, concomitant with a decrease in the radioactivity of the C₁₈/C₁₈ species of phosphatidylcholine (PC). The change at later times can be explained by the conversion of the C₁₈/C₁₈ species of PC into galactolipids through a eukaryotic pathway. The results showed that C. kessleri 11h, distinct from most of other green algal species that were postulated mainly to use a prokaryotic pathway for the synthesis of chloroplast lipids, is similar to a group of higher plants designated as 16:3 plants in terms of the cooperation of prokaryotic and eukaryotic pathways to synthesize chloroplast lipids. We propose that the physiological function of the eukaryotic pathway in C. kessleri 11h is to supply chloroplast membranes with 18:3/18:3-MGDG for their functioning, and that the acquisition of a eukaryotic pathway by green algae was favorable for evolution into land plants.     

广东连州自然分布的3种植物体内及根际环境中稳定性碳和氮同位素的分析

以广东连州自然分布的3种国家重点保护野生植物南方红豆杉〔Taxus chinensis var.mairei(Lemée et Lévl.)Cheng et L.K.Fu〕、半枫荷(Semiliquidambar cathayensis Chang)和金荞麦〔Fagopyrum dibotrys(D.Don)Hara〕为研究对象,分析了根、茎和叶片及根际土壤和岩石的C、N含量和C:N比以及δ13 C和δ15 N值的差异;在此基础上,通过δ13 C和δ15 N值的散点图比较了3种植物生态位的差异.结果表明:在同种植物中,根、茎和叶片的C和N含量及C:N比总体高于根际土壤和岩石,其中,叶片中C和N含量均最高,茎的C:N比最高;而根际土壤和岩石的δ13 C和δ15 N值总体高于根、茎和叶片.在供试的3种植物间,根际土壤和岩石中C和N含量总体上无明显差异,但根、茎和叶片中C和N含量以及根、茎和叶片及根际土壤和岩石的C:N比、δ13 C和δ15 N值均有一定差异;其中,金荞麦根中C含量显著(P<0.05)低于南方红豆杉和半枫荷,其根、茎和叶片中N含量和δ15 N值均极显著(P<0.01)高于后二者,其根、茎和叶片的C:N比和δ13 C值均极显著低于后二者,其根际土壤和岩石的C:N比和δ13 C值总体上也低于后二者;南方红豆杉和半枫荷的叶片中C和N含量以及茎和叶片的δ13 C值、根际土壤和岩石的δ13 C和δ15 N值均存在显著差异,但二者的整体差异相对较小.从散点图上看,金荞麦的生态位远离南方红豆杉和半枫荷,而后二者的生态位有交集.综合分析结果显示:草本植物金荞麦与木本植物南方红豆杉和半枫荷的C和N含量以及δ13 C和δ15 N值的差异不仅与植物自身的生活型有关,而且与各自生境中的光照和土壤因子等相关.另外,供试3种植物的根、茎和叶片的δ13 C值变幅为-31.69‰~-26.46‰,符合C3植物的δ13 C值范畴.     

Effects of livestock grazing on rangeland biodiversity: A meta‐analysis of grouse populations

Livestock grazing affects over 60% of the world's agricultural lands and can influence rangeland ecosystem services and the quantity and quality of wildlife habitat, resulting in changes in biodiversity. Concomitantly, livestock grazing has the potential to be detrimental to some wildlife species while benefiting other rangeland organisms. Many imperiled grouse species require rangeland landscapes that exhibit diverse vegetation structure and composition to complete their life cycle. However, because of declining populations and reduced distributions, grouse are increasingly becoming a worldwide conservation concern. Grouse, as a suite of upland gamebirds, are often considered an umbrella species for other wildlife and thus used as indicators of rangeland health. With a projected increase in demand for livestock products, better information will be required to mitigate the anthropogenic effects of livestock grazing on rangeland biodiversity. To address this need, we completed a data‐driven and systematic review of the peer‐reviewed literature to determine the current knowledge of the effects of livestock grazing on grouse populations (i.e., chick production and population indices) worldwide. Our meta‐analysis revealed an overall negative effect of livestock grazing on grouse populations. Perhaps more importantly, we identified an information void regarding the effects of livestock grazing on the majority of grouse species. Additionally, the reported indirect effects of livestock grazing on grouse species were inconclusive and more reflective of differences in the experimental design of the available studies. Future studies designed to evaluate the direct and indirect effects of livestock grazing on wildlife should document (i) livestock type, (ii) timing and frequency of grazing, (iii) duration, and (iv) stocking rate. Much of this information was lacking in the available published studies we reviewed, but is essential when making comparisons between different livestock grazing management practices and their potential impacts on rangeland biodiversity.     

Plate assay for chemical- and radiation-induced mutagenesis of CAN1 in yeast as a function of post-treatment DNA replication: the effect of rad6-1

An agar post-treatment method was used to monitor levels of ultraviolte light-and hydrazine-induced mutagenesis at CAN1 in Saccharomyces cerevisiae as a function of post-treatment cell division prior to selection for canavanine-resistant mutants with a top-agar overlay containing canavanine. The advantage of this method is that its permits reliable measurements of mutation induction during the early period before, during, and after the first round of post-treatment DNA replication. In strains that are wild-type for DNA repair, ultraviolet light mutagenesis appears to be a pre-replicative phenomenon, while mutation by hydrazine involves a replicative or post-replicative mechanism. Most chemical mutagenesis in yeast requires a functional RAD6 gene. Hydrazine mutability is also reduced by rad6-1, suggesting a possible misrepair mechanism.     

Tissue-specific and constitutive expression of a hypothetical gene At2g37610 in transgenic Arabidopsis

Hypothetical genes should play important roles in plant growth and development, although their biological functions await elucidation. One of these genes, namely At2g37610, caught our attention during the gene cloning of several salt-tolerant mutants. Promoter-GUS fusion analysis indicated a unique tissue-specific expression pattern of At2g37610 in Arabidopsis. Constitutive expression of the gene under 35S promoter caused obvious morphological changes in transgenic Arabidopsis plants, such as curled rosette leaves and bushy phenotype at maturity. Phenotypic characterization revealed that the cause of the bushy phenotype was the enhanced lateral bud outgrowth at the bottom region of the primary inflorescence, which is different from that of reported mutant plants (bushy or branched) such as max, axr1, and bus mutants. Together, these data suggest that At2g37610 is a possible novel gene related to the regulation of leaf development and shoot patterning.     

Understanding ‘it depends’ in ecology: a guide to hypothesising,visualising and interpreting statistical interactions

Ecologists routinely use statistical models to detect and explain interactions among ecological drivers, with a goal to evaluate whether an effect of interest changes in sign or magnitude in different contexts. Two fundamental properties of interactions are often overlooked during the process of hypothesising, visualising and interpreting interactions between drivers: the measurement scale – whether a response is analysed on an additive or multiplicative scale, such as a ratio or logarithmic scale; and the symmetry – whether dependencies are considered in both directions. Overlooking these properties can lead to one or more of three inferential errors: misinterpretation of (i) the detection and magnitude (Type-D error), and (ii) the sign of effect modification (Type-S error); and (iii) misidentification of the underlying processes (Type-A error). We illustrate each of these errors with a broad range of ecological questions applied to empirical and simulated data sets. We demonstrate how meta-analysis, a widely used approach that seeks explicitly to characterise context dependence, is especially prone to all three errors. Based on these insights, we propose guidelines to improve hypothesis generation, testing, visualisation and interpretation of interactions in ecology.     

A novel deep learning method for maize disease identification based on small sample-size and complex background datasets

Maize diseases are a major source of yield loss, but due to the lack of human experience and limitations of traditional image-recognition technology, obtaining satisfactory large-scale identification results of maize diseases are difficult. Fortunately, the advancement of deep learning-based technology makes it possible to automatically identify diseases. However, it still faces issues caused by small sample sizes and complex field background, which affect the accuracy of disease identification. To address these issues, a deep learning-based method was proposed for maize disease identification in this paper. DenseNet121 was used as the main extraction network and a multi-dilated-CBAM-DenseNet (MDCDenseNet) model was built by combining the multi-dilated module and convolutional block attention module (CBAM) attention mechanism. Five models of MDCDenseNet, DenseNet121, ResNet50, MobileNetV2, and NASNetMobile were compared and tested using three kinds of maize leave images from the PlantVillage dataset and field-collected at Northeast Agricultural University in China. Furthermore, auxiliary classifier generative adversarial network (ACGAN) and transfer learning were used to expand the dataset and pre-train for optimal identification results. When tested on field-collected datasets with a complex background, the MDCDenseNet model outperformed compared to these models with an accuracy of 98.84%. Therefore, it can provide a viable reference for the identification of maize leaf diseases collected from the farmland with a small sample size and complex background.     

Dominance of mixed ether/ester,intact polar membrane lipids in five species of the order Rubrobacterales: Another group of bacteria not obeying the “lipid divide”

The composition of the core lipids and intact polar lipids (IPLs) of five Rubrobacter species was examined. Methylated (ω-4) fatty acids (FAs) characterized the core lipids of Rubrobacter radiotolerans, R. xylanophilus and R. bracarensis. In contrast, R. calidifluminis and R. naiadicus lacked ω-4 methyl FAs but instead contained abundant (i.e., 34–41 % of the core lipids) ω-cyclohexyl FAs not reported before in the order Rubrobacterales. Their genomes contained an almost complete operon encoding proteins enabling production of cyclohexane carboxylic acid CoA thioester, which acts as a building block for ω-cyclohexyl FAs in other bacteria. Hence, the most plausible explanation for the biosynthesis of these cyclic FAs in R. calidifluminis and R. naiadicus is a recent acquisition of this operon. All strains contained 1-O-alkyl glycerol ether lipids in abundance (up to 46 % of the core lipids), in line with the dominance (>90 %) of mixed ether/ester IPLs with a variety of polar headgroups. The IPL head group distribution of R. calidifluminis and R. naiadicus differed, e.g. they lacked a novel IPL tentatively assigned as phosphothreoninol. The genomes of all five Rubrobacter species contained a putative operon encoding the synthesis of the 1-O-alkyl glycerol phosphate, the presumed building block of mixed ether/ester IPLs, which shows some resemblance with an operon enabling ether lipid production in various other aerobic bacteria but requires more study. The uncommon dominance of mixed ether/ester IPLs in Rubrobacter species exemplifies our recent growing awareness that the lipid divide between archaea and bacteria/eukaryotes is not as clear cut as previously thought.