Abundance,feeding, and morphology of passerine birds at Kowhai Bush,Kaikoura, New Zealand

Abstract

Five-minute stationary counts of birds at Kowhai Bush over 17 months suggest that the scores for grey warblers and chaffinches may reflect vocal conspicuousness, rather than abundance, and that the scores for shining cuckoos, goldfinches, and redpolls may reflect vocal and visual conspicuousness in combination. Counts in three types of kanuka forest show that cuckoos, robins, and bellbirds favoured the more dense and diverse suocessional stages; that riflemen, brown creepers, fantails, chaffinches, goldfinches, and redpolls were most abundant in less mature habitats; and that warblers and silvereyes were almost uniformly common. Cuckoos and robins overlapped the most in use of habitat, robins and redpolls the least. For both warblers and robins, indices of abundance varied between two of the habitats in proportion to the densities of resident adults, permitting calibration of the indices. Excepting creepers and robins, native species were apparently less abundant at Kowhai Bush than in climax forest near Reefton. At Kowhai Bush in winter, creepers, warblers, and silvereyes (three of the four small native gleaners of foliage) collected prey almost entirely from kanuka, the dominant tree. Warblers foraged on 80% of occasions from living foliage, whereas creepers fed almost equally from trunks, branches, twigs, and leaves, and silvereyes concentrated on leaves and trunks. Creepers and silvereyes overlapped the most in use of feeding stations. Also, they were exclusively gleaners, whereas warblers caught prey on 40% of occasions by hovering. Warblers gleaned only in the upright position, but creepers and silvereyes often gleaned from vertical surfaces or by hanging upside down. The greatest overlap in feeding behaviour was between creepers and silvereyes. Data for four of the five small native insectivores show that warblers were half as heavy as creepers and silvereyes, and lighter on average than fantails. The tail was longer than the wing in fantails, shorter than the wing in silvereyes, and equal to the wing in warblers and creepers. The ratio of wing length to tarsometatarsus length was greatest for fantails (3.4), as befits an aerial feeder. Warblers, silvereyes, and fantails had bills that were wider than deep; the creeper’s was slightly deeper than wide. Silvereyes had the longest bill, and creepers the longest tarsometatarsus. Indices of morphological difference show that silvereyes and creepers differed least.     

Atypical Antigen Recognition Mode of a Shark Immunoglobulin New Antigen Receptor (IgNAR) Variable Domain Characterized by Humanization and Structural Analysis

The immunoglobulin new antigen receptors (IgNARs) are a class of Ig-like molecules of the shark immune system that exist as heavy chain-only homodimers and bind antigens by their single domain variable regions (V-NARs). Following shark immunization and/or in vitro selection, V-NARs can be generated as soluble, stable, and specific high affinity monomeric binding proteins of ∼12 kDa. We have previously isolated a V-NAR from an immunized spiny dogfish shark, named E06, that binds specifically and with high affinity to human, mouse, and rat serum albumins. Humanization of E06 was carried out by converting over 60% of non-complementarity-determining region residues to those of a human germ line Vκ1 sequence, DPK9. The resulting huE06 molecules have largely retained the specificity and affinity of antigen binding of the parental V-NAR. Crystal structures of the shark E06 and its humanized variant (huE06 v1.1) in complex with human serum albumin (HSA) were determined at 3- and 2.3-Å resolution, respectively. The huE06 v1.1 molecule retained all but one amino acid residues involved in the binding site for HSA. Structural analysis of these V-NARs has revealed an unusual variable domain-antigen interaction. E06 interacts with HSA in an atypical mode that utilizes extensive framework contacts in addition to complementarity-determining regions that has not been seen previously in V-NARs. On the basis of the structure, the roles of various elements of the molecule are described with respect to antigen binding and V-NAR stability. This information broadens the general understanding of antigen recognition and provides a framework for further design and humanization of shark IgNARs.     

Development and characterization of a compensating wheat-Thinopyrum intermedium Robertsonian translocation with Sr44 resistance to stem rust (Ug99)

The emergence of the highly virulent Ug99 race complex of the stem rust fungus (Puccinia graminis Pers. f. sp. tritici Eriks. and Henn.) threatens wheat (Triticum aestivum L.) production worldwide. One of the effective genes against the Ug99 race complex is Sr44, which was derived from Thinopyrum intermedium (Host) Barkworth and D.R. Dewey and mapped to the short arm of 7J (designated 7J#1S) present in the noncompensating T7DS-7J#1L?7J#1S translocation. Noncompensating wheat-alien translocations are known to cause genomic duplications and deficiencies leading to poor agronomic performance, precluding their direct use in wheat improvement. The present study was initiated to produce compensating wheat-Th. intermedium Robertsonian translocations with Sr44 resistance. One compensating RobT was identified consisting of the wheat 7DL arm translocated to the Th. intermedium 7J#1S arm resulting in T7DL?7J#1S. The T7DL?7J#1S stock was designated as TA5657. The 7DL?7J#1S stock carries Sr44 and has resistance to the Ug99 race complex. This compensating RobT with Sr44 resistance may be useful in wheat improvement. In addition, we identified an unnamed stem rust resistance gene located on the 7J#1L arm that confers resistance not only to Ug99, but also to race TRTTF, which is virulent to Sr44. However, the action of the second gene can be modified by the presence of suppressors in the recipient wheat cultivars.     

Towards a metabolic engineering strain “commons”: An Escherichia coli platform strain for ethanol production

In the genome‐engineering era, it is increasingly important that researchers have access to a common set of platform strains that can serve as debugged production chassis and the basis for applying new metabolic engineering strategies for modeling and characterizing flux, engineering complex traits, and optimizing overall performance. Here, we describe such a platform strain of E. coli engineered for ethanol production. Starting with a fully characterized host strain (BW25113), we site‐specifically integrated the genes required for homoethanol production under the control of a strong inducible promoter into the genome and deleted the genes encoding four enzymes from competing pathways. This strain is capable of producing >30 g/L of ethanol in minimal media with <2 g/L produced of any fermentative byproduct. Using this platform strain, we tested previously identified ethanol tolerance genes and found that while tolerance was improved under certain conditions, any effect on ethanol production or tolerance was lost when grown under production conditions. Thus, our findings reinforce the need for a metabolic engineering “commons” that could provide a set of platform strains for use in more sophisticated genome‐engineering strategies. Towards this end, we have made this production strain available to the scientific community. Biotechnol. Bioeng. 2013; 110: 1520–1526. © 2013 Wiley Periodicals, Inc.     

Structural,catalytic and stabilizing consequences of aromatic cluster variants in human carbonic anhydrase II

The presence of aromatic clusters has been found to be an integral feature of many proteins isolated from thermophilic microorganisms. Residues found in aromatic cluster interact via π–π or C–H?π bonds between the phenyl rings, which are among the weakest interactions involved in protein stability. The lone aromatic cluster in human carbonic anhydrase II (HCA II) is centered on F226 with the surrounding aromatics F66, F95 and W97 located 12 Å posterior the active site; a location which could facilitate proper protein folding and active site construction. The role of F226 in the structure, catalytic activity and thermostability of HCA II was investigated via site-directed mutagenesis of three variants (F226I/L/W) into this position. The measured catalytic rates of the F226 variants via ¹⁸O-mass spectrometry were identical to the native enzyme, but differential scanning calorimetry studies revealed a 3–4 K decrease in their denaturing temperature. X-ray crystallographic analysis suggests that the structural basis of this destabilization is via disruption and/or removal of weak C–H?π interactions between F226 to F66, F95 and W97. This study emphasizes the importance of the delicate arrangement of these weak interactions among aromatic clusters in overall protein stability.     

Reporting of Adverse Events in Published and Unpublished Studies of Health Care Interventions: A Systematic Review

BackgroundWe performed a systematic review to assess whether we can quantify the underreporting of adverse events (AEs) in the published medical literature documenting the results of clinical trials as compared with other nonpublished sources, and whether we can measure the impact this underreporting has on systematic reviews of adverse events.ConclusionsThere is strong evidence that much of the information on adverse events remains unpublished and that the number and range of adverse events is higher in unpublished than in published versions of the same study. The inclusion of unpublished data can also reduce the imprecision of pooled effect estimates during meta-analysis of adverse events.     

Parallel Mapping of Antibiotic Resistance Alleles in Escherichia coli

Chemical genomics expands our understanding of microbial tolerance to inhibitory chemicals, but its scope is often limited by the throughput of genome-scale library construction and genotype-phenotype mapping. Here we report a method for rapid, parallel, and deep characterization of the response to antibiotics in Escherichia coli using a barcoded genome-scale library, next-generation sequencing, and streamlined bioinformatics software. The method provides quantitative growth data (over 200,000 measurements) and identifies contributing antimicrobial resistance and susceptibility alleles. Using multivariate analysis, we also find that subtle differences in the population responses resonate across multiple levels of functional hierarchy. Finally, we use machine learning to identify a unique allelic and proteomic fingerprint for each antibiotic. The method can be broadly applied to tolerance for any chemical from toxic metabolites to next-generation biofuels and antibiotics.