Using evolutionary tools to facilitate the prediction and prevention of host‐based differentiation in biological control: a review and perspective

The unprecedented success of biological control (biocontrol) agents led some of the proponents of this technology to promote its use as a panacea for all pest problems. Following an accumulation of non‐target host interactions, because of generalist or new association introductions, techniques to help ensure classical biocontrol agent's success and reduce non‐target interactions were implemented. Even with these new measures in place, public and scientific mistrust and lack of consistency has resulted in increased regulation of biocontrol introductions. This has likely decreased the probability of effective, sustainable control measures being expeditiously implemented. With the current apprehension concerning the safety of biocontrol, we should incorporate the processes (adaptation, selection, etc.) and theoretical concepts of evolutionary biology to predict and enhance the effectiveness of biocontrol. The microevolutionary perspective that involves mutation, drift, selection and gene flow may be a crucial consideration in the realm of biocontrol. Here, we discuss how and why spatial and evolutionary models should be implemented into future risk assessment analyses of potential biocontrol agents. We suggest that it is necessary to re‐assess the approach that has developed over the past approximately 100 years of sustained releases and illuminate them in the context of an evolutionary timescale.     

BIOADHESION IN CAULERPA MEXICANA (CHLOROPHYTA): RHIZOID‐SUBSTRATE ADHESION1

The attachment of the psammophytic alga Caulerpa mexicana Sond. ex Kütz., a coenocytic green alga, to crushed CaCO₃ particles was examined utilizing the scanning electron microscope and fluorescently tagged antivitronectin antibodies. Plants attached to the substrate through morphologically variable tubular rhizoidal extensions that grew from the stolon. In this study, we describe two means of attachment: (i) the rhizoid attachment to limestone gravel by thigmoconstriction, where tubular extensions of the rhizoid wrapped tightly around the substrate and changed morphology to fit tightly into crevices in the limestone, and (ii) through adhesion pads that formed in contact with the limestone granules. Flattened rhizoidal pads were observed to secrete a fibrillar material that contained vitronectin‐like proteins identified through immunolocialization and that facilitated binding of the rhizoid to the substrate.     

Detection of common mutations in the GALT gene through ARMS

Type I galactosemia is an inborn error resulting from mutations on both alleles of the GALT gene, which leads to the absence or deficiency of galactose-1-phosphate uridyltranseferase (GALT), the second of three enzymes catalyzing the conversion of galactose into glucose. On the basis of residual GALT activity, Type I galactosemia is classified into severe “Classical” and mild “Duarte” phenotypes. Classical galactosemia is frequently associated with S135L, Q188R and K285N mutations in the GALT gene. The functionally neutral N314D variation in the GALT gene is associated with Duarte galactosemia and is widespread among various worldwide populations. The present study aimed at detecting S135L, Q188R and K285N mutations and the N314D variant in the GALT gene by PCR using amplification refractory mutation system (ARMS). ARMS assays were established using standard DNA samples and were used for 8 galactosemia patients and 190 unrelated normal subjects all of Pakistani origin. S135L and K285N mutations were present neither in galactosemia patients nor in normal subjects. Only one galactosemia patient carried Q188R mutation that was in homozygous state. However, the N314D variant was frequently found both in affected (7 out of 16 alleles) and normal subjects (55 out of 380 alleles). This finding indicates that Duarte allele D314 might be far more common in Pakistani population than in European and North American ones.     

The Dual Arrhenius and Michaelis–Menten kinetics model for decomposition of soil organic matter at hourly to seasonal time scales

Decomposition of soil carbon stocks is one of the largest potential biotic feedbacks to climate change. Models of decomposition of soil organic matter and of soil respiration rely on empirical functions that relate variation in temperature and soil water content to rates of microbial metabolism using soil‐C substrates. Here, we describe a unifying modeling framework to combine the effects of temperature, soil water content, and soluble substrate supply on decomposition of soluble soil‐C substrates using simple functions based on process concepts. The model's backbone is the Michaelis–Menten equation, which describes the relationship between reaction velocity and soluble organic‐C and O₂ substrate concentrations at an enzyme's reactive site, which are determined by diffusivity functions based on soil water content. Temperature sensitivity is simulated by allowing the maximum velocity of the reaction (V_max) to vary according to Arrhenius function. The Dual Arrhenius and Michaelis–Menten kinetics (DAMM) model core was able to predict effectively observations from of laboratory enzyme assays of β‐glucosidase and phenol‐oxidase across a range of substrate concentrations and incubation temperatures. The model also functioned as well or better than purely empirical models for simulating hourly and seasonal soil respiration data from a trenched plot in a deciduous forest at the Harvard Forest, in northeastern United States. The DAMM model demonstrates that enzymatic processes can be intrinsically temperature sensitive, but environmental constrains of substrate supply under soil moisture extremes can prevent that response to temperature from being observed. We discuss how DAMM could serve as a core module that is informed by other modules regarding microbial dynamics and supply of soluble‐C substrates from plant inputs and from desorption of physically stabilized soil‐C pools. Most importantly, it presents a way forward from purely empirical representation of temperature and moisture responses and integrates temperature‐sensitive enzymatic processes with constraints of substrate supply.     

Temperature adaptation of bacterial communities in experimentally warmed forest soils

A detailed understanding of the influence of temperature on soil microbial activity is critical to predict future atmospheric CO₂ concentrations and feedbacks to anthropogenic warming. We investigated soils exposed to 3–4 years of continuous 5 °C‐warming in a field experiment in a temperate forest. We found that an index for the temperature adaptation of the microbial community, T_min for bacterial growth, increased by 0.19 °C per 1 °C rise in temperature, showing a community shift towards one adapted to higher temperature with a higher temperature sensitivity (Q_{10(5–15 °C)} increased by 0.08 units per 1 °C). Using continuously measured temperature data from the field experiment we modelled in situ bacterial growth. Assuming that warming did not affect resource availability, bacterial growth was modelled to become 60% higher in warmed compared to the control plots, with the effect of temperature adaptation of the community only having a small effect on overall bacterial growth (<5%). However, 3 years of warming decreased bacterial growth, most likely due to substrate depletion because of the initially higher growth in warmed plots. When this was factored in, the result was similar rates of modelled in situ bacterial growth in warmed and control plots after 3 years, despite the temperature difference. We conclude that although temperature adaptation for bacterial growth to higher temperatures was detectable, its influence on annual bacterial growth was minor, and overshadowed by the direct temperature effect on growth rates.     

Protected raspberry production alters aphid–plant interactions but not aphid population size

• 1 Aphid population dynamics in crops are often driven by interactions with their host plants, which can be extensively influenced by environmental change. Protective environments (i.e. plastic tunnels) are now frequently used for soft fruit production, which may affect the localized climate and alter such interactions. This two year study on red raspberry (Rubus idaeus) addressed how protected environments affected two aphid species; the large raspberry aphid Amphorophora idaei (LRA) and the small raspberry aphid Aphis idaei (SRA).
• 2 Temperatures were higher (up to 7–10 °C) in tunnels compared with the field. Plants in tunnels grew approximately 1.4 cm/week faster and had lower (approximately 35%) foliar amino acid concentrations than plants in the field.
• 3 Aphids affected plant growth differently depending on growing environment; they promoted plant growth by 18–37% in tunnels, although they had no such effect in the field. Aphids reduced total and essential amino acid concentrations, with SRA causing greatest reductions (approximately 40% and 33%, respectively).
• 4 Aphid population sizes were similar in both environments, although individual LRA were smaller in tunnels (30% smaller in 2007) compared with those in the field. We suggest that faster aphid development rates inside warmer tunnels were not realized as a result of the variable effects of the growing environment on amino acid composition.
• 5 We conclude that the increasing use of protected environments in crop production will not necessarily cause predictable increases in aphid populations, although it may alter aphid–plant interactions in terms of aphid‐induced changes to plant growth.

     

哀牢山中山湿性常绿阔叶林土壤呼吸季节和昼夜变化特征及影响因子比较

 由于受到多种生物和非生物因素的影响,土壤呼吸在不同时间尺度上的动态变化可能不一致。对不同时间尺度的土壤呼吸动态变化的研究有助 于深入了解土壤呼吸变化的机理,也有利于精确推算土壤碳的排放。采用红外CO₂分析法测定哀牢山中山湿性常绿阔叶林季节间(2004年4月～ 2005年3月)和昼夜间 (2004年7、9和11月及2005年1、3和5月共6次)的土壤呼吸。哀牢山中山湿性常绿阔叶林中土壤呼吸的季节变化显著,其中 湿季(5～10月)的土壤呼吸高于干季(11月～翌年4月),全年土壤呼吸的平均值为0.442 g CO₂&;#8226;m^－2&;#8226;h^－1。6 次测定的土壤呼吸日变化模式并不 相同,7和9月、翌年1和3月夜间土壤呼吸大于昼间土壤呼吸,11月和翌年5月则相反;5、7和9月昼夜间的土壤呼吸最大值与最小值的差异比11 月、翌年1和3月的测定结果大。季节间土壤呼吸与土壤温度(p=0.000)和土壤含水量(p=0. 007) 均有显著的指数相关,土壤温度可以解释土壤 呼吸变化的56.1％,土壤含水量可以解释土壤呼吸变化的11.1％。不同季节测定的土壤呼吸日变化与土壤温度、气温和土壤含水量则没有显著 的指数相关。由土壤呼吸与土壤温度拟合的指数方程计算Q₁₀值,在温度为 5.9～16.6 ℃内,全年土壤呼吸的Q₁₀值为4.53,在温度为5.9～ 11.0 ℃内,干季土壤呼吸的Q₁₀值为7.17,在温度为10.3～16.6 ℃内,湿季土壤呼吸的Q₁₀值为2.34。在不同时间尺度上,生物和非生物因素 对哀牢山中山湿性常绿阔叶林的土壤呼吸表现出不同的影响。土壤呼吸的季节变化主要受非生物因子温度和水分变化的调控,而土壤呼吸的昼 夜变化则可能主要受植物的生理活动周期性等生物因素的影响。通过温度的指数函数关系,用土壤呼吸的瞬时值来推算土壤呼吸的日通量和年 通量时,需要考虑温度和水分外的其它生物因子的影响。