Fast seedling root growth leads to competitive superiority of invasive plants

The competitive superiority of invasive plants plays a key role in the process of plant invasions, enabling invasive plants to overcome the resistance of local plant communities. Fast aboveground growth and high densities lead to the competitive superiority of invasive species in the competition for light. However, little is understood of the role belowground root competition may play in invasion. We conducted an experiment to test the effect of root growth on the performance of an invasive shrub Cassia alata, a naturalized, non-invasive shrub Corchorus capsularis, and a native shrub Desmodium reticulatum. We compared seedling growth of the three species and their competitive ability in situ. The roots of the C. alata seedlings grew much faster than those of C. capsularis and D. reticulatum during the entire growth period although C. alata had shorter shoots than D. reticulatum. Furthermore, C. alata showed an apparent competition advantage compared to the other two species as evidenced by less biomass reduction in intraspecific competition and higher competitive effects in interspecific competition. Our study reveals that fast seedling root growth may be important in explaining the competitive advantages of invasive plants. Future studies should pay more attention to the belowground traits of invasive plants, the trade-off between shoot and root growth, and the role of root competition in affecting the population dynamics of invasive plants and the structures of invaded communities.     

Modeling and correct the GC bias of tumor and normal WGS data for SCNA based tumor subclonal population inferring

Background

Somatic copy number alternations (SCNAs) can be utilized to infer tumor subclonal populations in whole genome seuqncing studies, where usually their read count ratios between tumor-normal paired samples serve as the inferring proxy. Existing SCNA based subclonal population inferring tools consider the GC bias of tumor and normal sample is of the same fature, and could be fully offset by read count ratio. However, we found that, the read count ratio on SCNA segments presents a Log linear biased pattern, which influence existing read count ratios based subclonal inferring tools performance. Currently no correction tools take into account the read ratio bias.

Results

We present Pre-SCNAClonal, a tool that improving tumor subclonal population inferring by correcting GC-bias at SCNAs level. Pre-SCNAClonal first corrects GC bias using Markov chain Monte Carlo probability model, then accurately locates baseline DNA segments (not containing any SCNAs) with a hierarchy clustering model. We show Pre-SCNAClonal’s superiority to exsiting GC-bias correction methods at any level of subclonal population.

Conclusions

Pre-SCNAClonal could be run independently as well as serving as pre-processing/gc-correction step in conjuntion with exsiting SCNA-based subclonal inferring tools.

     

Engineered Tissue Folding by Mechanical Compaction of the Mesenchyme

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The Strength of Mechanical Forces Determines the Differentiation of Alveolar Epithelial Cells

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Using matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling in order to predict clinical outcomes of patients with heart failure

Background

Current risk prediction models in heart failure (HF) including clinical characteristics and biomarkers only have moderate predictive value. The aim of this study was to use matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling to determine if a combination of peptides identified with MALDI-MS will better predict clinical outcomes of patients with HF.

Methods

A cohort of 100 patients with HF were recruited in the biomarker discovery phase (50 patients who died or had a HF hospital admission vs. 50 patients who did not have an event). The peptide extraction from plasma samples was performed using reversed phase C18. Then samples were analysed using MALDI-MS. A multiple peptide biomarker model was discovered that was able to predict clinical outcomes for patients with HF. Finally, this model was validated in an independent cohort with 100 patients with HF.

Results

After normalisation and alignment of all the processed spectra, a total of 11,389 peptides (m/z) were detected using MALDI-MS. A multiple biomarker model was developed from 14 plasma peptides that was able to predict clinical outcomes in HF patients with an area under the receiver operating characteristic curve (AUC) of 1.000 (p?=?0.0005). This model was validated in an independent cohort with 100 HF patients that yielded an AUC of 0.817 (p?=?0.0005) in the biomarker validation phase. Addition of this model to the BIOSTAT risk prediction model increased the predictive probability for clinical outcomes of HF from an AUC value of 0.643 to an AUC of 0.823 (p?=?0.0021). Moreover, using the prediction model of fourteen peptides and the composite model of the multiple biomarker of fourteen peptides with the BIOSTAT risk prediction model achieved a better predictive probability of time-to-event in prediction of clinical events in patients with HF (p?=?0.0005).

Conclusions

The results obtained in this study suggest that a cluster of plasma peptides using MALDI-MS can reliably predict clinical outcomes in HF that may help enable precision medicine in HF.

     

The Association of Pet Ownership and Attachment with Perceived Stress among Chinese Adults

Pet ownership is associated with both positive and negative emotions. Given that not everyone responds to pet care in a stressful way, perceptions of companion animals may play a role in how owners respond to them. In this study, we explored the relationship between pet ownership and perceived stress among Chinese pet owners. We also examined the effect of care practices and perceptions of pets on perceived stress. A total of 288 Hong Kong Chinese, adult pet owners, aged 18 to 70 years, were recruited. Participants were surveyed using a self-administered questionnaire covering demographics, pet ownership background, pet attachment, and perceived stress. Regression analyses were performed to examine pet attachment in different demographic groups and its relationship with perceived stress. Moderation and mediation analyses were performed to elucidate their underlying mechanisms. After adjusting for demographics and pet ownership background, greater attachment to a pet was associated with lower stress in owners. The perception of pets as family members minimized the stressful burden of pet care. More time spent caring for a pet increased attachment to that animal which in turn reduced stress in owners. The findings suggest attachment to companion animals and the perception of them as family members can help manage and reduce stress in owners.     

Type 2 Diabetes with Comorbid Depression in Relation to Cognitive Impairment: an Opportunity for Prevention?

Studies show poor glycemic control is associated with increased risk of dementia among patients with Type 2 diabetes, indicating potential for prevention of dementia with improved glycemia. Emerging evidence suggests that a relationship between short-term glycemic control and cognitive function exists in Type 2 diabetes. However, detailed mechanisms relating diabetic dementia are lacking, as other concurrent conditions, such as depression, may also increase the risk of dementia in Type 2 diabetes. We examined the effects of glycemic control and depression on cognitive function in 88 patients (mean age, 67 ± 4 years) whose A1c (glycosylated hemoglobin) levels, comorbid depression, mini-mental state examination (MMSE) scores were recorded at baseline. Seventeen patients had depression; 14 agreed on anti-depressants. In 6 months, 69 patients reached A1c goal of < 7% (A1c from 9.7 ± 0.8 to 6.4 ± 0.3) while cognition improved significantly (MMSE scored from 20.2 ± 3.5 to 26.2 ± 2.1, p < 0.05). Cognitive increment in controlled diabetes was more consistently observed if their underlying depression was effectively treated (n ? 14). Nineteen patients did not reach A1c goal of < 7% (A1c from 9.6 ± 0.9 to 8.9 ± 0.9) while cognitive increment was minimal (MMSE scored from 20.6 ± 4.9 to 21.3 ± 5.1, p > 0.05). Cognitive decrements were observed among depressed diabetics who refused anti-depressants. Multivariate analysis adjusted for age, education, alcohol use, and other variables yielded similar results. We found controlled glycemia and depression prevent cognitive decline. Further research into mechanisms of cognitive impairment in diabetes may allow us to challenge the concept of dementia in those patients as an irremediable disease.     

Centromeric DNA characterization in the model grass Brachypodium distachyon provides insights on the evolution of the genus

Brachypodium distachyon is a well‐established model monocot plant, and its small and compact genome has been used as an accurate reference for the much larger and often polyploid genomes of cereals such as Avena sativa (oats), Hordeum vulgare (barley) and Triticum aestivum (wheat). Centromeres are indispensable functional units of chromosomes and they play a core role in genome polyploidization events during evolution. As the Brachypodium genus contains about 20 species that differ significantly in terms of their basic chromosome numbers, genome size, ploidy levels and life strategies, studying their centromeres may provide important insight into the structure and evolution of the genome in this interesting and important genus. In this study, we isolated the centromeric DNA of the B. distachyon reference line Bd21 and characterized its composition via the chromatin immunoprecipitation of the nucleosomes that contain the centromere‐specific histone CENH3. We revealed that the centromeres of Bd21 have the features of typical multicellular eukaryotic centromeres. Strikingly, these centromeres contain relatively few centromeric satellite DNAs; in particular, the centromere of chromosome 5 (Bd5) consists of only ~40 kb. Moreover, the centromeric retrotransposons in B. distachyon (CRBds) are evolutionarily young. These transposable elements are located both within and adjacent to the CENH3 binding domains, and have similar compositions. Moreover, based on the presence of CRBds in the centromeres, the species in this study can be grouped into two distinct lineages. This may provide new evidence regarding the phylogenetic relationships within the Brachypodium genus.     

The Arabidopsis CrRLK1L protein kinases BUPS1 and BUPS2 are required for normal growth of pollen tubes in the pistil

In flowering plants, the interaction of pollen tubes with female tissues is important for the accomplishment of double fertilization. Little information is known about the mechanisms that underlie signalling between pollen tubes and female tissues. In this study, two Arabidopsis pollen tube‐expressed CrRLK1L protein kinases, Buddha's Paper Seal 1 (BUPS1) and BUPS2, were identified as being required for normal tip growth of pollen tubes in the pistil. They are expressed prolifically in pollen and pollen tubes and are localized on the plasma membrane of the pollen tube tip region. Mutations in BUPS1 drastically reduced seed set. Most of the bups1 mutant pollen tubes growing in the pistil exhibited a swollen pollen tube tip, leading to failure of fertilization. The bups2 pollen tubes had a slightly abnormal morphology but could still accomplish double fertilization. The bups1 bups2 double mutant exhibited a slightly enhanced phenotype compared to the single bups1 mutants. The BUPS1 proteins could form homomers and heteromers with BUPS2, whereas BUPS2 could only form heteromers with BUPS1. The BUPS proteins could interact with the Arabidopsis pollen‐expressed RopGEFs in the yeast two‐hybrid (Y2H) and bimolecular fluorescence complementation (BiFC) assays. The results indicated that the BUPSs may mediate normal polar growth of pollen tubes in the pistil.     

Dithiocarbamates: Efficient metallo-β-lactamase inhibitors with good antibacterial activity when combined with meropenem

The activity of β-lactam antibiotics is compromised by metallo-β-lactamases (MBLs). Herein, a series of dithiocarbamate derivatives were designed and synthesized. Their antibacterial activities were tested in combination with meropenem (MEM) against several MBL (NDM and IMP type)-producing clinical isolates. Clinical isolates harboring NDM-1 and IMP-4 became susceptible to MEM when it was combined with dithiocarbamate compounds 4a, 4b or 4f synthesized in this work. Compounds 4a and 4b increased the effectiveness of MEM by up to 2560 times against strains. In vitro bactericidal dynamics tests showed that bacteria died within 24?h when they were treated with compound 4f?+?MEM. Compounds 4a, 4b and 4f were non-hemolytic and exhibited low toxicity toward HeLa cells in vitro. These data show that compounds containing dithiocarbamate functional group may be helpful in the development of MBL inhibitors.