Matt: local flexibility aids protein multiple structure alignment

Even when there is agreement on what measure a protein multiple structure alignment should be optimizing, finding the optimal alignment is computationally prohibitive. One approach used by many previous methods is aligned fragment pair chaining, where short structural fragments from all the proteins are aligned against each other optimally, and the final alignment chains these together in geometrically consistent ways. Ye and Godzik have recently suggested that adding geometric flexibility may help better model protein structures in a variety of contexts. We introduce the program Matt (Multiple Alignment with Translations and Twists), an aligned fragment pair chaining algorithm that, in intermediate steps, allows local flexibility between fragments: small translations and rotations are temporarily allowed to bring sets of aligned fragments closer, even if they are physically impossible under rigid body transformations. After a dynamic programming assembly guided by these “bent” alignments, geometric consistency is restored in the final step before the alignment is output. Matt is tested against other recent multiple protein structure alignment programs on the popular Homstrad and SABmark benchmark datasets. Matt's global performance is competitive with the other programs on Homstrad, but outperforms the other programs on SABmark, a benchmark of multiple structure alignments of proteins with more distant homology. On both datasets, Matt demonstrates an ability to better align the ends of α-helices and β-strands, an important characteristic of any structure alignment program intended to help construct a structural template library for threading approaches to the inverse protein-folding problem. The related question of whether Matt alignments can be used to distinguish distantly homologous structure pairs from pairs of proteins that are not homologous is also considered. For this purpose, a p-value score based on the length of the common core and average root mean squared deviation (RMSD) of Matt alignments is shown to largely separate decoys from homologous protein structures in the SABmark benchmark dataset. We postulate that Matt's strong performance comes from its ability to model proteins in different conformational states and, perhaps even more important, its ability to model backbone distortions in more distantly related proteins.     

Characterization of the NR1, NR2A, and NR2C receptor proteins.

N-Methyl-D-aspartate (NMDA) receptor subunits were characterized with seven polyclonal antibodies. The antibodies were directed against NR1-A, NR2A-N1, and NR2C-N1, representing N-terminal sequences of the NR1, NR2A, and NR2C subunits, and against NR1-E, NR2A-C1, and NR2C-C1, derived from C-terminal sequences of these subunits. The anti-NR1-D antibody was raised against the putative internal loop of NR1. A size of 118 kDa was found in sodium dodecyl sulfate-polyacrylamide gel electrophoresis for NR1 (from rat brain) detected by anti-NR1-D and -NR1-E, but not anti-NR1-A. With the anti-NR1-A antibody, a 125-kDa protein was discovered that may represent a glutamate receptor not yet characterized. NR2A and NR2C were identified as proteins with sizes of 175 and 140 kDa, respectively. Enzymatic N-deglycosylation generated a 97-kDa protein from NR1, a 105-kDa protein from the 125-kDa protein, a 162-kDa protein from NR2A, and a 127-kDa protein from NR2C. In contrast to the deglycosylation product of the NR2A, the 97- and 127-kDa proteins derived from NR1 and NR2C, respectively, were found significantly smaller than the molecular masses of 103 and 141 kDa, respectively, predicted on the basis of DNA data. These products may represent truncated proteins. The tissue content of the NR1 and NR2A was high in bovine hippocampus and cortex but lower in the cerebellum. In contrast, NR2C was solely found in the cerebellum. The 125-kDa protein was highest in the cerebellum and cortex.     

Competitive reversals and environment-dependent resource partitioning in Erodium

Summary Effects of drought and varying plant density on the competitive coexistence of two winter annual Erodium species were studied using multiple regression analysis. Significant indications of resource partitioning were detected for interspecific mixtures under spring drought. Competitive superiority also was environment-dependent with E. botrys dominating with drought in autumn, while E. brachycarpum dominated with drought in spring. The results suggest that competitive coexistence in Erodium is promoted by processes both equilibrial (e.g., resource partitioning) and nonequilibrial (e.g. competitive reversals).     

Trophic ecology of the invasive argentine ant: spatio-temporal variation in resource assimilation and isotopic enrichment

Studies of food webs often employ stable isotopic approaches to infer trophic position and interaction strength without consideration of spatio-temporal variation in resource assimilation by constituent species. Using results from laboratory diet manipulations and monthly sampling of field populations, we illustrate how nitrogen isotopes may be used to quantify spatio-temporal variation in resource assimilation in ants. First, we determined nitrogen enrichment using a controlled laboratory experiment with the invasive Argentine ant (Linepithema humile). After 12 weeks, worker δ¹⁵N values from colonies fed an animal-based diet had δ¹⁵N values that were 5.51% greater compared to colonies fed a plant-based diet. The shift in δ¹⁵N values in response to the experimental diet occurred within 10 weeks. We next reared Argentine ant colonies with or without access to honeydew-producing aphids and found that after 8 weeks workers from colonies without access to aphids had δ¹⁵N values that were 6.31% larger compared to colonies with access to honeydew. Second, we sampled field populations over a 1-year period to quantify spatio-temporal variability in isotopic ratios of L. humile and those of a common native ant (Solenopsis xyloni). Samples from free-living colonies revealed that fluctuations in δ¹⁵N were 1.6–2.4‰ for L. humile and 1.8–2.9‰ for S. xyloni. Variation was also detected among L. humile castes: time averaged means of δ¹⁵N varied from 1.2 to 2.5‰ depending on the site, with δ¹⁵N values for queens ≥ workers > brood. The estimated trophic positions of L. humile and S. xyloni were similar within a site; however, trophic position for each species differed significantly at larger spatial scales. While stable isotopes are clearly useful for examining the trophic ecology of arthropod communities, our results suggest that caution is warranted when making ecological interpretations when stable isotope collections come from single time periods or life stages.