二氧化碳浓度升高对茶树生理代谢的影响及应对技术

大气中的二氧化碳(CO2)浓度升高是工业革命以来全球范围内最重要的生态变化之一,将直接影响植物的生长发育和代谢过程。尽管CO2浓度升高对粮食作物的影响已经得到了广泛的研究,但其对茶树等重要经济作物的影响却很少受到关注。本文回顾和总结了CO2浓度升高对茶树的初级代谢(包括光合作用、呼吸作用和碳氮代谢)和次级代谢的影响,并探讨了CO2浓度升高环境下茶叶生产过程中的应对技术,旨在为CO2浓度升高背景下茶树优质高产栽培提供一定的理论基础和科学依据。     

茶树新品种--梦茗

"梦茗"系从安徽省岳西县来榜镇优良地方群体种中采用单株选育法育成的适制绿茶新品种。经安徽省内品比、推广示范和全国区试,发现"梦茗"物候期与福鼎大白茶相当,属早生种。品质优异,全国区试3个点感官审评总分均高于对照;内含物含量高,氨基酸含量4.9%、茶多酚总量26.9%、水浸出物总量40%。产量高,品比试验高于福鼎大白茶26.45%,全国区试产量与对照相当。抗旱能力强,抗寒能力与对照相当。     

基于nSSR和cpDNA序列的城步峒茶群体遗传多样性和结构研究

采用简单重复序列标记(nSSR)与叶绿体DNA序列(cpDNA)分析技术,对城步峒茶群体进行了遗传多样性、遗传结构和遗传分化等研究。结果表明,15对nSSR引物在参试81份资源中共获得142个等位位点,平均每对引物9.47个,城步峒茶群体的观测杂合度(Ho)、期望杂合度(He)和Nei期望杂合度(Nei)分别为0.49、0.62和0.62,具有较高的遗传多样性。Structure分析将79份峒茶资源分成3个类群,但各类群的遗传背景较为复杂,没有明显的群体结构。F检验表明,城步峒茶群体的近交系数F_IS为正值(F_IS=0.177 5),群体间的遗传分化系数F_ST较小(F_ST=0.034 5),分化程度较低,基因流Nm较高(Nm=7.01)。3对cpDNA引物分别获得了473 bp(rbcL)、704 bp(matK)和320 bp(psbH-trnA)的片段序列,变异位点占总位点的比例分别为0.42%、0.71%和1.25%。将3个序列依次拼接,共产生了9个单倍型,单倍型数由多到少的居群依次为TXZ(6)、DZC(4)、DPS(4)、TYS(3)、HJZ(2),群体的单倍型多样性(Hd)和核苷酸多样性(π)分别为0.732和0.001 39。9个单倍型中,单倍型H1和H5处于进化网络图的中心节点上,并且包含资源数量最多,属于比较原始的单倍型。同时,nSSR和cpDNA的AMOVA分析结果基本一致,居群内的变异百分比分别达到96.69%和80.54%,城步峒茶的遗传变异主要存在于居群内。     

转Pi9抗稻瘟病基因水稻株系的比较转录组分析

【目的】在转录水平上解析Pi9基因介导的稻瘟病抗性调控机理,为培育抗病水稻品种提供理论依据。【方法】向水稻品种日本晴(NPB)及其转Pi9抗稻瘟病基因株系(NPB/Pi9)接种稻瘟菌。分别于接种后0 h、12 h、24 h、36 h提取叶组织样品,选取12503个水稻基因定制基因芯片,进行水稻基因转录组分析,并通过qRT-PCR对部分差异表达基因进行验证。【结果】NPB/Pi9在接种后12 h、24 h和36 h的基因表达量分别与其接种0 h表达量比较,共检测到7754个差异表达基因;相应地,感病水稻NPB在以上时间点共检测到7385个差异表达基因;在接种后36 h,NPB/Pi9的差异表达基因数目显著多于NPB。比较NPB/Pi9和NPB相同时间点的基因表达量,共获得4065个差异表达基因,其中接种后36 h的差异表达基因显著多于接种后0 h、12 h或24 h。因此,NPB/Pi9的稻瘟病防御反应更强烈。对NPB/Pi9与NPB相同时间点的差异表达基因进行GO和KEGG分析,细胞外区域、植物对刺激应答、转录调控、氧化还原、离子结合、次生代谢和植物激素相关的GO分类在接种后呈显著富集,苯丙氨酸代谢、类黄酮生物合成和植物激素信号途径的KEGG通路在接种后显著富集。与效应分子触发的免疫反应(ETI)相关的水杨酸信号途径、几丁质酶,以及与病原相关分子模式触发的免疫反应(PTI)相关的胞外区域、对刺激的应答、木质素合成等,均在抗感水稻之间差异表达。而且PTI/ETI共有的WRKY转录因子、MAPK激酶、茉莉酸和乙烯信号途径等发生差异表达。综上所述,NPB/Pi9和NPB的差异表达模式与ETI和PTI相关,两者相互联系并在Pi9介导的稻瘟病抗性中发挥作用。【结论】与日本晴比较,抗病基因型NPB/Pi9对稻瘟病防御反应更强烈。转录因子、激酶、NBS-LRR基因、几丁质酶、水杨酸、茉莉酸和乙烯信号途径,以及植物次生代谢在Pi9介导的稻瘟病抗病反应中发挥重要作用。     

Regional and local scale variations in soil organic carbon stocks in West Greenland

The soil organic carbon (SOC) pool of the Northern Hemisphere contains about half of the global SOC stored in soils. As the Arctic is exceptionally sensitive to global warming, temperature rise and prolonged summer lead to deeper thawing of permafrost‐affected soils and might contribute to increasing greenhouse gas emissions progressively. To assess the overall feedback of soil organic carbon stocks (SOCS) to global warming in permafrost‐affected regions the spatial variation in SOCS at different environmental scales is of great interest. However, sparse and unequally distributed soil data sets at various scales in such regions result in highly uncertain estimations of SOCS of the Northern Hemisphere and here particularly in Greenland. The objectives of this study are to compare and evaluate three controlling factors for SOCS distribution (vegetation, landscape, aspect) at two different scales (local, regional). The regional scale reflects the different environmental conditions between the two study areas at the coast and the ice margin. On the local scale, characteristics of each controlling factor in form of defined units (vegetation units, landscape units, aspect units) are used to describe the variation in the SOCS over short distances within each study area, where the variation in SOCS is high. On a regional scale, we investigate the variation in SOCS by comparing the same units between the study areas. The results show for both study areas that SOCS are with 8 kg m^?2 in the uppermost 25 cm and 16 kg m^?2 in the first 100 cm of the soil, i.e., 3 to 6 kg m^?2 (37.5%) higher than existing large scale estimations of SOCS in West Greenland. Our approach allows to rank the scale‐dependent importance of the controlling factors within and between the study areas. However, vegetation and aspect better explain variations in SOCS than landscape units. Therefore, we recommend vegetation and aspect for determining the variation in SOCS in West Greenland on both scales.     

Mapping the current and future distributions of Onosma species endemic to Iran

Climate change may cause shifts in the natural range of species especially for those that are geographically restricted and/or endemic species. In this study, the spatial distribution of five endemic and threatened species belonging to the genus Onosma (including O. asperrima, O. bisotunensis, O. kotschyi, O. platyphylla, and O. straussii) was investigated under present and future climate change scenarios: RCP2.6 (RCP, representative concentration pathway; optimistic scenario) and RCP8.5 (pessimistic scenario) for the years 2050 and 2080 in Iran. Analysis was conducted using the maximum entropy (MaxEnt) model to provide a basis for the protection and conservation of these species. Seven environmental variables including aspect, depth of soil, silt content, slope, annual precipitation, minimum temperature of the coldest month, and annual temperature range were used as main predictors in this study. The model output for the potential habitat suitability of the studied species showed acceptable performance for all species (i.e., the area under the curve (AUC)>0.800). According to the models generated by MaxEnt, the potential current patterns of the species were consistent with the observed areas of distributions. The projected climate maps under optimistic and pessimistic scenarios (RCP2.6 and RCP8.5, respectively) of 2050 and 2080 resulted in reductions and expansions as well as positive range changes for all species in comparison to their current predicted distributions. Among all species, O. bisotunensis showed the most significant and highest increase under the pessimistic scenario of 2050 and 2080. Finally, the results of this study revealed that the studied plant species have shown an acute adaptability to environmental changes. The results can provide useful information to managers to apply appropriate strategies for the management and conservation of these valuable Iranian medicinal and threatened plant species in the future.     

Exploiting chemical ecology to manage hyperparasitoids in biological control of arthropod pests

Insect hyperparasitoids are fourth trophic level organisms that commonly occur in terrestrial food webs, yet they are relatively understudied. These top‐carnivores can disrupt biological pest control by suppressing the populations of their parasitoid hosts, leading to pest outbreaks, especially in confined environments such as greenhouses where augmentative biological control is used. There is no effective eco‐friendly strategy that can be used to control hyperparasitoids. Recent advances in the chemical ecology of hyperparasitoid foraging behavior have opened opportunities for manipulating these top‐carnivores in such a way that biological pest control becomes more efficient. We propose various infochemical‐based strategies to manage hyperparasitoids. We suggest that a push‐pull strategy could be a promising approach to ‘push’ hyperparasitoids away from their parasitoid hosts and ‘pull’ them into traps. Additionally, we discuss how infochemicals can be used to develop innovative tools improving biological pest control (i) to restrict accessibility of resources (e.g. sugars and alternative hosts) to primary parasitoid only or (ii) to monitor hyperparasitoid presence in the crop for early detection. We also identify important missing information in order to control hyperparasitoids and outline what research is needed to reach this goal. Testing the efficacy of synthetic infochemicals in confined environments is a crucial step towards the implementation of chemical ecology‐based approaches targeting hyperparasitoids. © 2019 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.     

Responses of plant community to the linkages in plant-soil C:N:P stoichiometry during secondary succession of abandoned farmlands,China

Succession is one of the central themes of ecology;however,the relationship between aboveground plant communities and underground soils during secondary succession remains unclear.In this study,we investigated the composition of plant community,plant-soil C:N:P stoichiometry and their relationships during secondary succession after the abandonment of farmlands for 0,10,20,30,40 and 50 a in China,2016.Results showed that the composition of plant communities was most diverse in the farmlands after secondary succession for 20 and 50 a.Soil organic carbon and total nitrogen contents slightly decreased after secondary succession for 30 a,but both were significantly higher than those of control farmland(31.21%-139.10%and 24.24%-121.21%,respectively).Moreover,C:N ratios of soil and microbe greatly contributed to the changes in plant community composition during secondary succession of abandoned farmlands,explaining 35.70%of the total variation.Particularly,soil C:N ratio was significantly and positively related with the Shannon-Wiener index.This study provides the evidence of synchronous evolution between plant community and soil during secondary succession and C:N ratio is an important linkage between them.