Notes

Fresh comprehension of rapid ovarian insufficiency.
typographus life stages. Large disparities in the gut bacterial community of male adults were observed when the beetles were treated with S-(-)-α-pinene and R-(+)-α-pinene. The relative abundances of Lactococcus (Lactobacillales Streptococcaceae) and Lelliottia (Enterobacteriales Enterobacteriaceae) increased drastically with R-(+)-α-pinene and S-(-)-α-pinene treatment, respectively. This indicated a distinct enantiomer-specific effect of α-pinene on the I. typographus gut bacteria. This study demonstrated the plasticity of gut bacteria during I. AMG 232 typographus development, when α-pinene host monoterpenes are encountered. This study provides new insights into the relationship between 'I. typographus-gut bacteria' symbionts and host trees.
The AUDIT-C is a brief and commonly used alcohol screening tool, with few data available on the relative validity of the three individual items in older adult populations. The aim of this study was to explore the validity of the AUDIT-C items in identifying unhealthy drinking among older people, with a view to developing a single-item screener.

A sample of 143 older adults (mean age=71) were recruited from non-clinical settings in the UK. AUDIT-C scores were compared to an unhealthy drinking reference category of consuming more than the UK recommended weekly units of alcohol. Standard analyses were conducted for men and women, and for those prescribed medications for long term conditions.

The AUDIT-C items performed well in identifying unhealthy drinking in this sample of older people, with generally high sensitivity, specificity and area under the ROC curve. No significant differences were found in the validity of the three items, though the combined sensitivity and specificity scores and ROC values for item 3 were consistently slightly lower than for items 1 and 2. The findings were similar for men and women, and for participants prescribed medications for long-term conditions.

AUDIT-C items 1 and 2 performed as well as item 3 in identifying unhealthy drinking among older people in this study. Both are reasonable single-item screener candidates, especially given relative ease of administration, with further validation study needed to examine psychometrics and how alcohol screening for older people can best be implemented in clinical settings.
AUDIT-C items 1 and 2 performed as well as item 3 in identifying unhealthy drinking among older people in this study. Both are reasonable single-item screener candidates, especially given relative ease of administration, with further validation study needed to examine psychometrics and how alcohol screening for older people can best be implemented in clinical settings.
Conventional methods to analyze genomic data do not make use of the interplay between multiple factors, such as between microRNAs (miRNAs) and the messenger RNA (mRNA) transcripts they regulate, and thereby often fail to identify the cellular processes that are unique to specific tissues. We developed PUMA (PANDA Using MicroRNA Associations), a computational tool that uses message passing to integrate a prior network of miRNA target predictions with target gene co-expression information to model genome-wide gene regulation by miRNAs. We applied PUMA to 38 tissues from the Genotype-Tissue Expression project, integrating RNA-Seq data with two different miRNA target predictions priors, built on predictions from TargetScan and miRanda, respectively. We found that while target predictions obtained from these two different resources are considerably different, PUMA captures similar tissue-specific miRNA-target regulatory interactions in the different network models. Furthermore, the tissue-specific functions of miRNAs we identified based on regulatory profiles (available at https//kuijjer.shinyapps.io/puma_gtex/) are highly similar between networks modeled on the two target prediction resources. This indicates that PUMA consistently captures important tissue-specific miRNA regulatory processes. In addition, using PUMA we identified miRNAs regulating important tissue-specific processes that, when mutated, may result in disease development in the same tissue.

PUMA is available in C++, MATLAB and Python on GitHub (https//github.com/kuijjerlab and https//netzoo.github.io/).

Supplementary data are available at Bioinformatics online.
Supplementary data are available at Bioinformatics online.Beneficial root microbes may mitigate negative effects of crop pests by enhancing plant tolerance or resistance. We used a greenhouse experiment to investigate impacts of commercially available microbial root inoculants on growth and biomass allocation of wheat (Triticum aestivum L. [Cyperales Poaceae]) and on survival and growth of the gall-inducing wheat pest Hessian fly, Mayetiola destructor (Say). A factorial design was used, with two near-isogenic wheat lines (one susceptible to Hessian fly, the other resistant), two levels of insect infestation (present, absent), and four inoculants containing 1) Azospirillum brasilense  Tarrand et al. (Rhodospirillales Azospirillaceae), a plant growth-promoting bacterium, 2) Rhizophagus intraradices (N.C. Schenck & G.S. Sm.) (Glomerales Glomeraceae), an arbuscular mycorrhizal fungus, 3) A. brasilense + R. intraradices, and 4) control, no inoculant. Larval feeding stunted susceptible wheat shoots and roots. Plants had heavier roots and allocated a greater proportion of biomass to roots when plants received the inoculant with R. intraradices, regardless of wheat genotype or insect infestation. Plants receiving the inoculant containing A. brasilense (alone or with R. intraradices) had comparable numbers of tillers between infested and noninsect-infested plants and, if plants were susceptible, a greater proportion of aboveground biomass was allocated to tillers. However, inoculants did not impact density or performance of Hessian fly immatures or metrics associated with adult fitness. Larvae survived and grew normally on susceptible plants and mortality was 100% on resistant plants irrespective of inoculants. This initial study suggests that by influencing plant biomass allocation, microbial inoculants may offset negative impacts of Hessian flies, with inoculant identity impacting whether tolerance is related to root or tiller growth.
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