Robustness of inference of haplotype block structure.

In this report, we examine the validity of the haplotype block concept by comparing block decompositions derived from public data sets by variants of several leading methods of block detection. We first develop a statistical method for assessing the concordance of two block decompositions. We then assess the robustness of inferred haplotype blocks to the specific detection method chosen, to arbitrary choices made in the block-detection algorithms, and to the sample analyzed. Although the block decompositions show levels of concordance that are very unlikely by chance, the absolute magnitude of the concordance may be low enough to limit the utility of the inference. For purposes of SNP selection, it seems likely that methods that do not arbitrarily impose block boundaries among correlated SNPs might perform better than block-based methods.     

Removing heavy metals from synthetic effluents using “kamikaze” Saccharomyces cerevisiae cells

One key step of the bioremediation processes designed to clean up heavy metal contaminated environments is growing resistant cells that accumulate the heavy metals to ensure better removal through a combination of biosorption and continuous metabolic uptake after physical adsorption. Saccharomyces cerevisiae cells can easily act as cation biosorbents, but isolation of mutants that are both hyperaccumulating and tolerant to heavy metals proved extremely difficult. Instead, mutants that are hypersensitive to heavy metals due to increased and continuous uptake from the environment were considered, aiming to use such mutants to reduce the heavy metal content of contaminated waters. In this study, the heavy metal hypersensitive yeast strain pmr1∆ was investigated for the ability to remove Mn²⁺, Cu²⁺, Co²⁺, or Cd²⁺ from synthetic effluents. Due to increased metal accumulation, the mutant strain was more efficient than the wild-type in removing Mn²⁺, Cu²⁺, or Co²⁺ from synthetic effluents containing 1–2 mM cations, with a selectivity $ {\text{Mn}}^{{{\text{2}} + }} > {\text{Co}}^{{{\text{2}} + }} ~ > {\text{Cu}}^{{{\text{2}} + }} $ {\text{Mn}}^{{{\text{2}} + }} > {\text{Co}}^{{{\text{2}} + }} ~ > {\text{Cu}}^{{{\text{2}} + }} and also in removing Mn²⁺ and Cd²⁺ from synthetic effluents containing 20–50 μM cations, with a selectivity Mn²⁺ > Cd²⁺.     

Asiphonipponaphis, a new genus of Hormaphidinae (Hemiptera, Aphididae) causing galls on Distylium chinense from China, with description of a new species

The aphid genus Asiphonipponaphisgen. n. from China is new to science. Asiphonipponaphis vasigallasp. n. causing galls on Distylium chinense from Hunan, China is described and illustrated. Holotype and paratypes are deposited in the National Zoological Museum of China, Institute of Zoology, Chinese Academy of Sciences, Beijing, China (NZMCAS) and Kogakkan University, Japan.     

Classification of Tree Species in Overstorey Canopy of Subtropical Forest Using QuickBird Images

This paper proposes a supervised classification scheme to identify 40 tree species (2 coniferous, 38 broadleaf) belonging to 22 families and 36 genera in high spatial resolution QuickBird multispectral images (HMS). Overall kappa coefficient (OKC) and species conditional kappa coefficients (SCKC) were used to evaluate classification performance in training samples and estimate accuracy and uncertainty in test samples. Baseline classification performance using HMS images and vegetation index (VI) images were evaluated with an OKC value of 0.58 and 0.48 respectively, but performance improved significantly (up to 0.99) when used in combination with an HMS spectral-spatial texture image (SpecTex). One of the 40 species had very high conditional kappa coefficient performance (SCKC ≥ 0.95) using 4-band HMS and 5-band VIs images, but, only five species had lower performance (0.68 ≤ SCKC ≤ 0.94) using the SpecTex images. When SpecTex images were combined with a Visible Atmospherically Resistant Index (VARI), there was a significant improvement in performance in the training samples. The same level of improvement could not be replicated in the test samples indicating that a high degree of uncertainty exists in species classification accuracy which may be due to individual tree crown density, leaf greenness (inter-canopy gaps), and noise in the background environment (intra-canopy gaps). These factors increase uncertainty in the spectral texture features and therefore represent potential problems when using pixel-based classification techniques for multi-species classification.     

A quantum-theoretic approach to enzyme specificity: Proposals for a new type of biochemical control mechanism

A quantum-theoretic approach to the problem of enzymic specificity is presented. The concept of a “measuring system” analogized with the enzyme is utilized. Along these lines a quantum mechanical hypothesis for the mechanism of enzyme reactions was advanced (Enzymologia,35, 117–130, 1968). In the measuring process an ℐ-observable, linked to the proper values of the substrate'sA ₁...A _m observables will indicate the state of the measuring apparatus. On the corresponding Hilbert space of the enzymesubstrate complexH _ES , through the respective statistical operatorU _ES we get a “state” vector [s, a]. Theng:Γ _S xΓ _E →Γ _ES , that is, to an oriented pair 〈s, a〉 ∈Γ _S xΓ _E will correspond a “state” vector [s, a], and to a proper valuei _k of ℐ will correspond, throughg, the respective equivalence classes of Г-spaces. Introducing the concept of enzyme-substrate complex entropyL _ES , a theorem is demonstrated asserting thatL _S =L _ES -L _E + 1/2kn wheren is the number of the degrees of freedom which may fluctuate. The values ofL _ES are denoted “specific values,” and it is demonstrated that a microphysical systemS may be a substrate specific forE, if and only if it can realize one of theL _ES specific values. Along these lines a model of a stochastic process for the enzymic reaction is constructed, and the set of Kolmogorov equations for the respective probabilities is derived. When a “perturbation” is induced in our model, an interesting prediction concerning the fluctuations in the kinetics of the corresponding enzyme is obtained. A relevant experimental proof ensued from these theoretical considerations. When a “gentle perturbation” was induced in a substrate by mild X-ray or UV-irradiations, an interesting oscillatory behavior of enzymic activity was recorded. A biochemical control mechanism is constructed (a simple “flip-flop” type) utilizing nonoverlapping oscillations in the activity of two enzymes at a key metabolic intermediate level. Eventually, a relevant experimental proof for the respective control model is presented.     

Evaluating foot kinematics using magnetic resonance imaging: from maximum plantar flexion, inversion, and internal rotation to maximum dorsiflexion, eversion, and external rotation

The foot consists of many small bones with complicated joints that guide and limit motion. A variety of invasive and noninvasive means [mechanical, X-ray stereophotogrammetry, electromagnetic sensors, retro-reflective motion analysis, computer tomography (CT), and magnetic resonance imaging (MRI)] have been used to quantify foot bone motion. In the current study we used a foot plate with an electromagnetic sensor to determine an individual subject's foot end range of motion (ROM) from maximum plantar flexion, internal rotation, and inversion to maximum plantar flexion, inversion, and internal rotation to maximum dorsiflexion, eversion, and external rotation. We then used a custom built MRI-compatible device to hold each subject's foot during scanning in eight unique positions determined from the end ROM data. The scan data were processed using software that allowed the bones to be segmented with the foot in the neutral position and the bones in the other seven positions to be registered to their base positions with minimal user intervention. Bone to bone motion was quantified using finite helical axes (FHA). FHA for the talocrural, talocalcaneal, and talonavicular joints compared well to published studies, which used a variety of technologies and input motions. This study describes a method for quantifying foot bone motion from maximum plantar flexion, inversion, and internal rotation to maximum dorsiflexion, eversion, and external rotation with relatively little user processing time.     

Intellectual Disability Is Associated with Increased Runs of Homozygosity in Simplex Autism

Intellectual disability (ID), often attributed to autosomal-recessive mutations, occurs in 40% of autism spectrum disorders (ASDs). For this reason, we conducted a genome-wide analysis of runs of homozygosity (ROH) in simplex ASD-affected families consisting of a proband diagnosed with ASD and at least one unaffected sibling. In these families, probands with an IQ ≤ 70 show more ROH than their unaffected siblings, whereas probands with an IQ > 70 do not show this excess. Although ASD is far more common in males than in females, the proportion of females increases with decreasing IQ. Our data do support an association between ROH burden and autism diagnosis in girls; however, we are not able to show that this effect is independent of low IQ. We have also discovered several autism candidate genes on the basis of finding (1) a single gene that is within an ROH interval and that is recurrent in autism or (2) a gene that is within an autism ROH block and that harbors a homozygous, rare deleterious variant upon analysis of exome-sequencing data. In summary, our data suggest a distinct genetic architecture for participants with autism and co-occurring intellectual disability and that this architecture could involve a role for recessively inherited loci for this autism subgroup.