Non-destructive assessment of flesh firmness and dietary antioxidants of greenhouse-grown tomato (Solanum lycopersicum L.) at different fruit maturity stages

Non-destructive methods have been widely recognized for evaluating fruit quality traits of many horticultural crops and food processing industry. Destructive (analytical) test, and non-destructive evaluation of the quality traits were investigated and compared for ‘Red Rose’ tomato (Solanum lycopersicum L.) fruit grown under protected environment. Fresh tomato fruit at five distinctive maturity stages namely; breaker (BK), turning (TG), pink (PK), light-red (LR), and red (RD) were labeled and scanned using the handheld near infra-red (NIR) enhanced spectrometer at a wavelength range of 285–1200 nm. The labeled tomato samples were then measured analytically for flesh firmness, lycopene, β-carotene, total phenolic content (TPC) and total flavonoids content (TFC). The results revealed that quality traits could be estimated using NIR spectroscopy with a relatively high coefficient of determination (R²): 0.834 for total phenolic content, 0.864 for lycopene, 0.790 for total flavonoid content, 0.708 for β-carotene; and 0.679 for flesh firmness. The accumulation of Lyco and β-Car rapidly increased in tomatoes harvested between the TG and the LR maturity stages. Harvesting tomatoes at BK maturity stage resulted in significantly higher flesh firmness than harvesting at the later maturity stages. Tomato fruits had the lowest TPC and TFC contents at the earliest maturity stage (BK), while they had intermediate TPC and TFC levels at LR and RD maturity stages. NIR spectroscopic measurements of fruit firmness and lipophilic antioxidants in tomato fruit at various maturity stages were partially in accordance with those estimated by destructive (analytical) methods. Based on these findings, we recommend using non-destructive NIR spectroscopy as an effective tool for predicting tomato fruit quality during harvest stage and postharvest processing.     

Climate change decreases the cooling effect from postfire albedo in boreal North America

Fire is a primary disturbance in boreal forests and generates both positive and negative climate forcings. The influence of fire on surface albedo is a predominantly negative forcing in boreal forests, and one of the strongest overall, due to increased snow exposure in the winter and spring months. Albedo forcings are spatially and temporally heterogeneous and depend on a variety of factors related to soils, topography, climate, land cover/vegetation type, successional dynamics, time since fire, season, and fire severity. However, how these variables interact to influence albedo is not well understood, and quantifying these relationships and predicting postfire albedo becomes increasingly important as the climate changes and management frameworks evolve to consider climate impacts. Here we developed a MODIS‐derived ‘blue sky’ albedo product and a novel machine learning modeling framework to predict fire‐driven changes in albedo under historical and future climate scenarios across boreal North America. Converted to radiative forcing (RF), we estimated that fires generate an annual mean cooling of ?1.77 ± 1.35 W/m² from albedo under historical climate conditions (1971–2000) integrated over 70 years postfire. Increasing postfire albedo along a south–north climatic gradient was offset by a nearly opposite gradient in solar insolation, such that large‐scale spatial patterns in RF were minimal. Our models suggest that climate change will lead to decreases in mean annual postfire albedo, and hence a decreasing strength of the negative RF, a trend dominated by decreased snow cover in spring months. Considering the range of future climate scenarios and model uncertainties, we estimate that for fires burning in the current era (2016) the cooling effect from long‐term postfire albedo will be reduced by 15%–28% due to climate change.     

林火干扰对广东省桉树林生态系统碳密度的影响

林火作为森林非连续的生态因子,引起森林生态系统碳库碳储量与碳分配的变化,影响森林演替进程及固碳能力。以桉树林不同林火干扰强度的火烧迹地为对象,采用相邻样地比较法,以野外调查采样与室内试验分析相结合为主要手段,研究不同林火干扰强度对森林生态系统各碳库及生态系统碳密度变化和空间分布格局的影响,探讨林火干扰对生态系统碳密度与碳分布格局的影响机制。结果表明:林火干扰降低了植被碳密度(P<0.05),轻度、中度和重度林火干扰样地植被碳密度依次为67.88、35.68和15.50 t·hm^-2,相比对照分别下降了15.86%、55.78%和80.79%;在轻度、中度和重度林火干扰样地中,凋落物碳密度分别为1.43、0.94和0.81 t·hm^-2,相比对照分别降低了28.14%、52.76%和59.30%;不同林火干扰强度样地土壤有机碳密度均低于对照,且减少幅度随土壤剖面深度增加而逐渐变小,轻度、中度和重度林火干扰样地土壤有机碳密度分别为103.30、84.33和70.04 t·hm^-2,相比对照分别下降了11.67%、27.89%和40.11%;轻度、中度和重度林火干扰后桉树林生态系统碳密度分别为172.61、120.95和86.35 t·hm^-2,相比对照依次下降了13.53%、39.41%和56.74%;林火干扰降低了桉树林的碳密度,表现为随林火干扰强度增加,碳密度呈递减的规律;与对照相比,轻度林火干扰强度对桉树林碳密度的影响不显著(P>0.05),而中度和重度林火干扰强度对桉树林碳密度的影响差异显著(P<0.05)。     

我国林火发生预测模型研究进展

通过文献回顾,总结了国内林火发生预测模型的研究现状,并从林火发生驱动因子、林火发生概率预测模型、林火发生频次预测模型和模型检验方法等方面进行归纳分析。得出以下结论: 1)气象、地形、植被、可燃物、人类活动等因素是影响林火发生及模型预测精度的主要驱动因子;2)林火发生概率模型中,地理加权逻辑斯蒂回归模型考虑了变量之间的空间相关性,Gompit回归模型适宜非对称结构的林火数据,随机森林模型不需要多重共线性检验,在避免过度拟合的同时提高了预测精度,是林火发生概率预测模型的优选方法之一;3)林火发生频次模型中,负二项回归模型更适合对过度离散数据进行模拟,零膨胀模型和栅栏模型可以处理林火数据中包含大量零值的问题;4)ROC检验、AIC检验、似然比检验和Wald检验方法是林火概率和频次模型的常用检验方法。林火发生预测模型研究仍是我国当前林火管理工作的重点,预测模型的选择需要依据不同地区林火数据特点。此外,构建林火预测模型时需要考虑更多的影响因素,以提高模型预测精度;未来,需要进一步探索其他数学模型在林火发生预测中的应用,不断提高林火发生预测模型的准确度。     

Simple inheritance,complex regulation: Supergene‐mediated fire ant queen polymorphism

The fire ant Solenopsis invicta exists in two alternate social forms: monogyne nests contain a single reproductive queen and polygyne nests contain multiple reproductive queens. This colony‐level social polymorphism corresponds with individual differences in queen physiology, queen dispersal patterns and worker discrimination behaviours, all evidently regulated by an inversion‐based supergene that spans more than 13 Mb of a “social chromosome,” contains over 400 protein‐coding genes and rarely undergoes recombination. The specific mechanisms by which this supergene influences expression of the many distinctive features that characterize the alternate forms remain almost wholly unknown. To advance our understanding of these mechanisms, we explore the effects of social chromosome genotype and natal colony social form on gene expression in queens sampled as they embarked on nuptial flights, using RNA‐sequencing of brains and ovaries. We observe a large effect of natal social form, that is, of the social/developmental environment, on gene expression profiles, with similarly substantial effects of genotype, including: (a) supergene‐associated gene upregulation, (b) allele‐specific expression and (c) pronounced extra‐supergene trans‐regulatory effects. These findings, along with observed spatial variation in differential and allele‐specific expression within the supergene region, highlight the complex gene regulatory landscape that emerged following divergence of the inversion‐mediated Sb haplotype from its homologue, which presumably largely retained the ancestral gene order. The distinctive supergene‐associated gene expression trajectories we document at the onset of a queen’s reproductive life expand the known record of relevant molecular correlates of a complex social polymorphism and point to putative genetic factors underpinning the alternate social syndromes.     

Genomic and phenomic analysis of island ant community assembly

Island biodiversity has long fascinated biologists as it typically presents tractable systems for unpicking the eco‐evolutionary processes driving community assembly. In general, two recurring themes are of central theoretical interest. First, immigration, diversification, and extinction typically depend on island geographical properties (e.g., area, isolation, and age). Second, predictable ecological and evolutionary trajectories readily occur after colonization, such as the evolution of adaptive trait syndromes, trends toward specialization, adaptive radiation, and eventual ecological decline. Hypotheses such as the taxon cycle draw on several of these themes to posit particular constraints on colonization and subsequent eco‐evolutionary dynamics. However, it has been challenging to examine these integrated dynamics with traditional methods. Here, we combine phylogenomics, population genomics and phenomics, to unravel community assembly dynamics among Pheidole (Hymenoptera, Formicidae) ants in the isolated Fijian archipelago. We uphold basic island biogeographic predictions that isolated islands accumulate diversity primarily through in situ evolution rather than dispersal, and population genomic support for taxon cycle predictions that endemic species have decreased dispersal ability and demography relative to regionally widespread taxa. However, rather than trending toward island syndromes, ecomorphological diversification in Fiji was intense, filling much of the genus‐level global morphospace. Furthermore, while most endemic species exhibit demographic decline and reduced dispersal, we show that the archipelago is not an evolutionary dead‐end. Rather, several endemic species show signatures of population and range expansion, including a successful colonization to the Cook islands. These results shed light on the processes shaping island biotas and refine our understanding of island biogeographic theory.     

火干扰强度对亚热带四种森林类型土壤理化性质的影响

火干扰是通过改变土壤理化性质而影响土壤生态系统功能的重要因素之一。探讨火干扰强度对不同森林类型下土壤理化性质的影响,为利用火干扰促进林分更新及经营提供理论指导。2014年在湖南省株洲市和湘潭市4种次生林(枫香次生林、马尾松-木荷混交林、杉木-木荷混交林及檫木-杉木混交林)内设置16块20 m×20 m样地进行试验,研究了火干扰强度(对照、低强度、中强度、高强度火烧)和林分类型对土壤容重(BD)、土壤斥水性(SWR)、有机质(SOM)、pH、全氮(TN)、全磷(TP)和全钾(TK)的影响。通过描述性统计分析、单因素方差分析和Fisher LSD检验研究各土壤性质在同一林分不同火干扰间,以及同一火干扰下不同林分间的显著性差异和变化趋势(P0.05)。研究发现BD、SWR、pH、TK都随火强度的增大呈上升的趋势,而SOM、TP随火强度增大而减少,TN则随火强度增大没有规律性变化。在同一林分内与对照组相比,低强度火烧对BD、SWR、pH和SOM的影响不显著,中强度有一定影响,而高强度火烧影响显著;而TN、TP、TK在火烧前后均无显著性差异。火干扰后,TN和TP在同一火强度下不同林分间均存在显著性差异(P0.05),而BD、pH值和TP在同一林分内不同火强度间均存在显著性差异(P0.05)。BD、SOM、pH、TK在枫香次生林内普遍显著大于其他林分。结果说明火干扰强度和林分类型在影响土壤理化性质方面起着重要作用。高强度火干扰对土壤性质影响最大,枫香次生林中土壤理化性质与其他混交林相比普遍存在显著性差异。BD、pH和TP受火强度影响显著,BD、SOM、pH、TN、TK和TP受林分类型影响显著。     

适用于种群遗传管理的小熊猫微卫星亲子鉴定体系的建立

由于标记缺失、生产记录不详、亲权关系不明及部分个体来源不清等历史问题,中国小熊猫圈养种群存在谱系错漏、近亲繁殖等风险。近年来,随着小熊猫种群规模不断扩大,管理者们对谱系的准确性提出了更高的需求,亲子鉴定工作也成为了研究的重点。本文采用26个微卫星标记,对国内3个小熊猫圈养种群进行了亲缘关系运算,完成了相关谱系的查错与整理。26个位点多态性与稳定性良好,联合非亲排除概率达到0.9999以上,可解决国内小熊猫圈养种群的各类亲子鉴定需求。在单亲未知或双亲未知的情况下,8或11个位点组合可实现亲子鉴定。5个位点组合可进行个体识别。在小熊猫圈养管理过程中,应用一套亲子鉴定体系对小熊猫圈养的谱系进行查漏补缺,有利于制定科学的配对计划、避免近亲繁殖,对小熊猫种群保护有着重要意义。     

Wildfires in the Eastern Arc Mountains of Tanzania: Burned areas,underlying causes and management challenges

The Eastern Arc Mountains are one of the most important ecosystems that conserve biodiversity in the world. These ecosystems are threatened by the increasing occurrence of wildfires. Nevertheless, there is inadequate information useful for the development of effective strategies to prevent or respond to future fires. This paper analyses the current extent of dry season fires, underlying causes and the effectiveness of the fire management strategy being implemented in and around the Uluguru Nature Forest Reserve (UNFR) between 2016 and 2021. Differenced Normalised Burn Ratio derived from Landsat satellite images was applied to determine the extent of burned areas, and focus group discussions were held to determine the underlying causes of fires and the extent of implementation of fire management strategies. About 2% (472 ha) of reserved UNFR and 5% (2,854 ha) of unreserved forests were burned in 2017. Some of the fires impacted on 60% (370 ha) of the grassy Lukwangule plateau, which is home to a fire‐sensitive endemic species. The underlying causes of fires varied spatially across the mountains but generally, fire escaping from farm preparation and hunting activities were found to be the most prevalent. On average, survey participants perceived that fire management strategy objectives were achieved by only 29% mainly constrained by a shortage of financial and human resources. Our findings suggest that ignitions and fire spread in UNFR could be prevented or controlled through sustainable funding of fire management activities and the effective engagement of local communities in the management of the reserve.     

opn1lw2基因在红光诱导斑马鱼皮肤 色素细胞形成中的作用

为了探究感红光视蛋白2基因opn1lw2在红光诱导斑马鱼(Danio rerio)皮肤色素细胞形成中的作用,针对AB品系野生型斑马鱼利用CRISPR/Cas9基因编辑技术敲除感红光视蛋白2基因opn1lw2,构建opn1lw2缺失的纯合opn1lw2~(-/-)品系。使用光强(800±100)lx的红光LED灯(每天光照24 h)对15日龄野生型斑马鱼和opn1lw2~(-/-)品系斑马鱼进行60 d水面照射,发现野生型斑马鱼背部皮肤黑色素细胞数量显著多于opn1lw2~(-/-)品系斑马鱼。实时荧光定量PCR分析发现,黑色素细胞标记基因kit在野生型斑马鱼背部皮肤表达量显著高于opn1lw2~(-/-)品系,黄色素细胞标记基因csf1ra和虹彩细胞标记基因pnp4a在opn1lw2~(-/-)品系及野生斑马鱼背部皮肤表达无显著差异。表明红光能通过opn1lw2基因调控斑马鱼背部皮肤黑色素细胞的形成,但不影响皮肤黄色素细胞和虹彩细胞的形成;而且,调控黑色素细胞分化的α-MSH促黑激素的前体基因pomca在红光持续照射60d的opn1lw2~(-/-)品系斑马鱼背部皮肤中的表达显著低于野生型,表明红光通过opn1lw2基因调控pomca基因的表达从而诱导黑色素细胞的形成。实时荧光定量PCR检测发现,野生型斑马鱼皮肤中视黄醛脱氢酶基因raldh3表达量显著高于opn1lw2~(-/-)品系,而视黄醛脱氢酶基因raldh2的表达,在两种类型斑马鱼中没有差异,表明opn1lw2基因可介导红光诱导视黄醛脱氢酶基因raldh3表达,进而调控黑色素细胞的形成。这些结果对于深入理解红光诱导鱼类皮肤色素细胞形成有重要帮助。