Addison Audrey, Powell James A, Bentz Barbara J, Six Diana L
Department of Mathematics and Statistics, Utah State University, Logan, UT 84322-3900, USA.
USDA Forest Service, Rocky Mountain Research Station, Logan, UT 84321, USA.
J Theor Biol. 2015 Mar 7;368:55-66. doi: 10.1016/j.jtbi.2014.12.011. Epub 2014 Dec 31.
The fates of individual species are often tied to synchronization of phenology, however, few methods have been developed for integrating phenological models involving linked species. In this paper, we focus on mountain pine beetle (MPB, Dendroctonus ponderosae) and its two obligate mutualistic fungi, Grosmannia clavigera and Ophiostoma montium. Growth rates of all three partners are driven by temperature, and their idiosyncratic responses affect interactions at important life stage junctures. One critical phase for MPB-fungus symbiosis occurs just before dispersal of teneral (new) adult beetles, when fungi are acquired and transported in specialized structures (mycangia). Before dispersal, fungi must capture sufficient spatial resources within the tree to ensure contact with teneral adults and get packed into mycangia. Mycangial packing occurs at an unknown time during teneral feeding. We adapt thermal models predicting fungal growth and beetle development to predict overlap between the competing fungi and MPB teneral adult feeding windows and emergence. We consider a spectrum of mycangial packing strategies and describe them in terms of explicit functions with unknown parameters. Rates of growth are fixed by laboratory data, the unknown parameters describing various packing strategies, as well as the degree to which mycangial growth is slowed in woody tissues as compared to agar, are determined by maximum likelihood and two years of field observations. At the field location used, the most likely fungus acquisition strategy for MPB was packing mycangia just prior to emergence. Estimated model parameters suggested large differences in the relative growth rates of the two fungi in trees at the study site, with the most likely model estimating that G. clavigera grew approximately twenty-five times faster than O. montium under the bark, which is completely unexpected in comparison with observed fungal growth on agar.
单个物种的命运往往与物候同步相关,然而,目前很少有方法能够用于整合涉及相互关联物种的物候模型。在本文中,我们聚焦于山松甲虫(MPB,Dendroctonus ponderosae)及其两种专性共生真菌,即克劳氏格孢腔菌(Grosmannia clavigera)和山地长喙壳菌(Ophiostoma montium)。这三个共生伙伴的生长速率均受温度驱动,它们各自独特的响应会影响重要生命阶段节点处的相互作用。MPB与真菌共生关系的一个关键阶段恰好发生在嫩(新羽化)成虫甲虫扩散之前,此时真菌在特殊结构(菌囊)中被获取并运输。在扩散之前,真菌必须在树体内获取足够的空间资源,以确保与嫩成虫接触并被装入菌囊。菌囊装填发生在嫩成虫取食期间的某个未知时刻。我们采用预测真菌生长和甲虫发育的热模型,来预测竞争真菌与MPB嫩成虫取食窗口和羽化之间的重叠情况。我们考虑了一系列菌囊装填策略,并根据具有未知参数的显式函数对其进行描述。生长速率由实验室数据确定,描述各种装填策略的未知参数,以及与琼脂相比菌囊在木质组织中生长减缓的程度,通过最大似然法和两年的野外观察来确定。在所使用的野外地点,MPB最有可能的真菌获取策略是在羽化前装填菌囊。估计的模型参数表明,研究地点树木中两种真菌的相对生长速率存在很大差异,最有可能的模型估计,在树皮下方克劳氏格孢腔菌的生长速度比山地长喙壳菌快约25倍,与在琼脂上观察到的真菌生长情况相比,这完全出乎意料。