Environment outweighs the effects of fishing in regulating demersal community structure in an exploited marine ecosystem

Global climate change has already caused bottom temperatures of coastal marine ecosystems to increase worldwide. These ecosystems face many pressures, of which fishing is one of the most important. While consequences of global warming on commercial species are studied extensively, the importance of the increase in bottom temperature and of variation in fishing effort is more rarely considered together in these exploited ecosystems. Using a 17 year time series from an international bottom trawl survey, we investigated covariations of an entire demersal ecosystem (101 taxa) with the environment in the Celtic Sea. Our results showed that over the past two decades, biotic communities in the Celtic Sea were likely controlled more by environmental variables than fisheries, probably due to its long history of exploitation. At the scale of the entire zone, relations between taxa and the environment remained stable over the years, but at a local scale, in the center of the Celtic Sea, dynamics were probably driven by interannual variation in temperature. Fishing was an important factor structuring species assemblages at the beginning of the time series (2000) but decreased in importance after 2009. This was most likely caused by a change in spatial distribution of fishing effort, following a change in targeted taxa from nephrops to deeper water anglerfish that did not covary with fishing effort. Increasing bottom temperatures could induce additional changes in the coming years, notably in the cold‐water commercial species cod, hake, nephrops, and American plaice. We showed that analyzing covariation is an effective way to screen a large number of taxa and highlight those that may be most susceptible to future simultaneous increases in temperature and changes in exploitation pattern by fisheries. This information can be particularly relevant for ecosystem assessments.     

Redundancy in wildflower strip species helps support spatiotemporal variation in wild bee communities on diversified farms

Wildflower strips are a management practice increasingly used to provide floral resources to wild bees in agroecosystems. Yet, despite known spatiotemporal variation in wild bee communities, the degree to which different wildflower strip species consistently support wild bee communities is poorly understood. Additionally, whether such consistency is related to the functional roles wildflower species play (e.g., in supporting diverse, rare, or unique suites of bee species) has not been considered. Over three years and on four diversified farms, we evaluated spatiotemporal variation in wild bee communities and bee-flower interactions in wildflower strips to better understand the roles of flower strip species in supporting bees. We documented spatiotemporal variation in the abundance, richness, and composition of local wild bee communities. Certain wildflower species consistently supported the highest richness of wild bees across years. These wildflower species were regularly core members of the bee-flower interaction network, visited by both generalist and specialist bees. By contrast, wildflower species supporting the most unique suites of bees were variable in this role among farms. In order to select plant species for wildflower strips that consistently support a high diversity of wild bee communities within farm landscapes, it is useful to consider several different functional roles that plants may play. Whereas a handful of wildflower species may be visited by the majority of local wild bee species, achieving support for the remaining, and perhaps rarer, bee species will require planting additional flower species, which may appear redundant until the spatiotemporal variation in wild bee communities is more thoroughly considered. This functional approach to selecting wildflower species for bee conservation efforts is important for making practical recommendations to land managers and for guiding best management practices in different regions and with diverse management goals.     

白腐真菌血红密孔菌漆酶复合酶预处理烟梗丝的响应面法优化

烟梗是烟草工业的重要副产物,也是宝贵的自然资源。本研究首先利用白腐菌漆酶对烟梗丝进行预处理,提升了添加烟梗丝的卷烟品质;然后分别以木质素、纤维素、半纤维素和果胶的降解率为响应值,采用Box-Behnken设计建立方程模型,对漆酶、纤维素酶、半纤维素酶和果胶酶组成的复合酶预处理烟梗丝条件进行了优化。结果表明：每100g烟梗丝加入30U漆酶,在料液比为35%、温度为30℃、酶解pH为5处理48h的条件下预处理的烟梗丝对提升卷烟品吸效果最佳,烟梗丝中木质素、纤维素、半纤维素和果胶的降解率分别为20.16%、15.10%、7.20%和12.40%;为获得与之相同的各组分降解率,响应面法优化漆酶复合酶最佳处理条件为：每100g烟梗丝加入漆酶14.72U、纤维素酶1.00U、半纤维素酶1.00U、果胶酶8.45U。验证发现烟梗丝各组分降解率实测值与理论值无显著性差异,且显微结构观察显示复合酶处理后的烟梗丝表面致密结构被破坏,孔洞数量明显增加。本研究获得的白腐菌漆酶预处理后的烟梗丝在卷烟中的添加能有效改善卷烟品质,且漆酶复合酶的使用大幅减少了漆酶的用量,降低了漆酶预处理烟梗丝的成本,为废弃烟梗生物质的资源化利用提供了重要依据。     

中国华南地区多孔菌多样性研究

2002至2019年对广东、广西和海南主要森林生态系统的72个保护区、森林公园、植物园、公园和林场等的多孔菌进行了采集和调查,共采集标本2 095号,经对这些材料全面和系统的研究,发现多孔菌500种,按照最新的系统学研究分属于8个目、20个科、145个属,其中多孔菌科和锈革孔菌科分别有173种和124种,约占总数的60%,是最重要的多孔菌类群。此外,其中有10个新属和132个新种是作者等人根据华南地区模式标本发现描述的。本文对华南地区多孔菌多样性进行了系统归纳,按最新的分类系统以属名顺序给出了名录,根据采集材料提供了每种的生长基质,并对所有种类的生长基质习性进行了统计。其中,294、138、112、97、78、77和29种分别生长在倒木、落枝、朽木、死树、活立木、树桩、掉落小枝和地上,故倒木是多孔菌最重要的生长基质。     

采自祁连山的冷杉侧耳生物学特性及栽培条件探索

以采自甘肃省祁连山国家级自然保护区菌物保育区的野生侧耳作为试验材料,通过形态学及系统发育分析方法将其鉴定为冷杉侧耳Pleurotus abieticola。对该菌株生物学特性及栽培条件进行初步研究,结果表明：菌丝体最适生长温度为25℃;最适pH为7.0;最适碳源为玉米粉;最适氮源为豆粉;在以棉籽壳、木屑和麸皮为栽培料时,可获得子实体。     

利用地域野生资源创制地方适栽的优质香菇新品种

香菇是我国深受欢迎的食药用菌,产量居食用菌产业之首。为拓宽栽培香菇菌株的遗传背景,解决现有主栽香菇菌株种性退化的问题,本研究以香菇‘808’菌株与3个香菇野生资源、3个栽培菌株（辽抚4号、BY1和荷香）开展单-双杂交育种,开发适合当地栽培环境的主栽品种。研究结果显示：在270对单-双杂交组合中,通过锁状联合观察和与亲本的拮抗试验,鉴定出89个杂交子,进一步通过栽培试验筛选出10个性状相对优良的候选菌株;最终通过农艺性状对比试验,筛选出ZJXG 5和ZJXG 8两个优良杂交菌株,这两个菌株均以当地长白山野生资源S1和本地主栽菌株BY1为双核杂交亲本选育而来,表现出超亲显著、菇形圆整、颜色呈浅褐色的特性,前4潮生物学效率在86%-88%之间。本研究结果揭示,在香菇杂交育种中,当亲本菌株来源地域与杂交后代菌株筛选地域相近时,单双杂交亲和率、杂交菌株的出菇率和丰产性指标较高,这提示我们,利用当地野生香菇资源更有利于创制适合当地自然环境的地方品种。     

小黑杨PsnHB13基因在烟草中的遗传转化与功能分析

克隆小黑杨HD-ZIP家族基因PsnHB13,对该基因进行生物信息学分析、过表达载体构建、烟草的遗传转化。结果表明小黑杨PsnHB13基因cDNA全长870 bp,编码289个氨基酸。成功构建植物过表达载体pROKⅡ-PsnHB13,并通过农杆菌介导的叶盘法将外源基因转入野生型烟草。检测结果显示PsnHB13已成功整合入烟草基因组中,并在mRNA水平表达。通过观察转基因烟草的生长,发现过表达PsnHB13基因的烟草与野生型相比出现叶面积变小、叶型变长,根系生长缓慢,花朵变小等明显表型。说明PsnHB13基因主要对烟草叶片、根系及花的生长发育起到负调控作用。本文为研究PsnHB13基因对杨树生长发育的影响提供理论基础。     

Topographic heterogeneity lengthens the duration of pollinator resources

The availability of sufficient and diverse resources across time is important for maintenance of biodiversity and ecosystem functioning. In this study, we examine the potential for variation in environmental conditions across topographic gradients to extend floral resource timing. Flowering time on a landscape may vary across topography due to differences in abiotic factors, species turnover, or genotypic differences. However, the extent to which this variation in phenology affects overall flowering duration on a landscape, and the components of diversity that influence flowering duration, are unexplored. We investigate whether differences in flowering time due to topography yield an overall extension in duration of flowering resources in a northern California grassland. We recorded flowering time of pollinator resource species across four successive spring growing seasons (2015–2018) on paired north and south aspects. Flowering time differences were evaluated both at the community level and within species present on both paired aspects. The role of plasticity was examined in an experimental case study using genotypes of Lasthenia gracilis. We found that aspect is a strong determinant of phenology, with earlier flowering on warmer south‐facing slopes. Aspect differences resulted in complementarity in timing of flowering resources across sites, as aspects that started flowering earlier also ended earlier. Complementarity between north and south aspects served to extend the flowering time of pollinator resources by an average of 4–8 days (8%–15%), depending on the year. This extension can be attributed to both within‐species responses to aspect differences and species turnover. Flowering of L. gracilis genotypes was distinct across aspects, demonstrating that plasticity can drive the extension of flowering duration. Our findings indicate that heterogeneous topography can extend overall flowering time of pollinator resources, which may support pollinator biodiversity. Extension was most pronounced at the community level, which incorporates species turnover as well as plastic and genotypic differences within species.