University of Kansas

About: University of Kansas is a education organization based out in Lawrence, Kansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 38183 authors who have published 81381 publications receiving 2986312 citations. The organization is also known as: KU & Univ of Kansas.

Resource limitation is a driver of local adaptation in mycorrhizal symbioses

Abstract: Symbioses may be important mechanisms of plant adaptation to their environment. We conducted a reciprocal inoculation experiment to test the hypothesis that soil fertility is a key driver of local adaptation in arbuscular mycorrhizal (AM) symbioses. Ecotypes of Andropogon gerardii from phosphorus-limited and nitrogen-limited grasslands were grown with all possible “home and away” combinations of soils and AM fungal communities. Our results indicate that Andropogon ecotypes adapt to their local soil and indigenous AM fungal communities such that mycorrhizal exchange of the most limiting resource is maximized. Grasses grown in home soil and inoculated with home AM fungi produced more arbuscules (symbiotic exchange structures) in their roots than those grown in away combinations. Also, regardless of the host ecotype, AM fungi produced more extraradical hyphae in their home soil, and locally adapted AM fungi were, therefore, able to sequester more carbon compared with nonlocal fungi. Locally adapted mycorrhizal associations were more mutualistic in the two phosphorus-limited sites and less parasitic at the nitrogen-limited site compared with novel combinations of plants, fungi, and soils. To our knowledge, these findings provide the strongest evidence to date that resource availability generates evolved geographic structure in symbioses among plants and soil organisms. Thus, edaphic origin of AM fungi should be considered when managing for their benefits in agriculture, ecosystem restoration, and soil-carbon sequestration.

Axioms for Probability and Belief-Function Propagation.

Abstract: In this paper, we describe an abstract framework and axioms under which exact local computation of marginals is possible. The primitive objects of the framework are variables and valuations. The primitive operators of the framework are combination and marginalization. These operate on valuations. We state three axioms for these operators and we derive the possibility of local computation from the axioms. Next, we describe a propagation scheme for computing marginals of a valuation when we have a factorization of the valuation on a hypertree. Finally we show how the problem of computing marginals of joint probability distributions and joint belief functions fits the general framework.

Prosocial and Coercive Configurations of Resource Control in Early Adolescence: A Case for the Well-Adapted Machiavellian

Abstract: This is the publisher's version, which is also available electronically from http://www.jstor.org/stable/23096057.

Comorbidity of migraine and depression: Investigating potential etiology and prognosis

Abstract: Background: An association between migraine and major depression has been observed in clinical and community samples. The factors that contribute to this association and their implications remain unclear. Objective: To determine the factors contributing to the association of migraine and major depression. Methods: A cohort study of persons aged 25 to 55 years with migraine (n = 496) or with other headaches of comparable severity (n = 151) and control subjects with no history of severe headaches (n = 539) randomly selected from the general community were interviewed first in 1997 and then reinterviewed in 1999. Results: Major depression at baseline predicted the first-onset migraine during the 2-year follow-up period (odds ratio [OR] = 3.4; 95% CI = 1.4, 8.7) but not other severe headaches (OR = 0.6; 95% CI = 0.1, 4.6). Migraine at baseline predicted the first-onset major depression during follow-up (OR = 5.8; 95% CI = 2.7, 12.3); the prospective association from severe headaches to major depression was not significant (OR = 2.7; 95% CI = 0.9, 8.1). Comorbid major depression did not influence the frequency of migraine attacks, their persistence, or the progression of migraine-related disability over time. Conclusions: Major depression increased the risk for migraine, and migraine increased the risk for major depression. This bidirectional association, with each disorder increasing the risk for first onset of the other, was not observed in relation to other severe headaches. With respect to other severe headaches, there was no increased risk associated with pre-existing major depression, although the possibility of an influence in the reverse direction (i.e., from severe headaches to depression) cannot be securely ruled out.