Putting the Pieces Together: High-performance LC-MS/MS Provides Network-, Pathway-, and Protein-level Perspectives in Populus

High-performance mass spectrometry (MS)-based proteomics enabled the construction of a detailed proteome atlas for Populus, a woody perennial plant model organism. Optimization of experimental procedures and implementation of current state-of-the-art instrumentation afforded the most detailed look into the predicted proteome space of Populus, offering varying proteome perspectives: (1) network-wide, (2) pathway-specific, and (3) protein-level viewpoints. Together, enhanced protein retrieval through a detergent-based lysis approach and maximized peptide sampling via the dual-pressure linear ion trap mass spectrometer (LTQ Velos), have resulted in the identification of 63,056 tryptic peptides. The technological advancements, specifically spectral-acquisition and sequencing speed, afforded the deepest look into the Populus proteome, with peptide abundances spanning 6 orders of magnitude and mapping to ∼25% of the predicted proteome space. In total, tryptic peptides mapped to 11,689 protein assignments across four organ-types: mature (fully expanded, leaf plastichronic index (LPI) 10–12) leaf, young (juvenile, LPI 4–6) leaf, root, and stem. To resolve protein ambiguity, identified proteins were grouped by sequence similarity (≥ 90%), thereby reducing the protein assignments into 7538 protein groups. In addition, this large-scale data set features the first systems-wide survey of protein expression across different Populus organs. As a demonstration of the precision and comprehensiveness of the semiquantitative analysis, we were able to contrast two stages of leaf development, mature versus young leaf. Statistical comparison through ANOVA analysis revealed 1432 protein groups that exhibited statistically significant (p ≤ 0.01) differences in protein abundance. Experimental validation of the metabolic circuitry expected in mature leaf (characterized by photosynthesis and carbon fixation) compared with young leaf (characterized by rapid growth and moderate photosynthetic activities) strongly testifies to the credibility of the approach. Instead of quantitatively comparing a few proteins, a systems view of all the changes associated with a given cellular perturbation could be made.Mass spectrometry (MS)-based proteomics has experienced tremendous growth in recent years, leading to the establishment of numerous protocols, platforms, and workflows for the characterization of protein expression at the genome level (1). Although these advancements have facilitated comprehensive proteomic investigations of simple bacterial isolates and microbial communities, the application of MS-based proteomics for plants and other higher eukaryotes remains underdeveloped. Recently, large-scale proteomic studies have been directed at characterization of Populus, a woody perennial model organism. With the recent release and subsequent curation of the P. trichocarpa genome (2), these large-scale MS-based proteomic investigations offer the potential to introduce new biological insights into woody perennial plant biology (3, 4, 5). For example, we have recently demonstrated the ability to measure ∼17% of the Populus proteome by coupling multidimensional liquid chromatography (MudPIT)¹ with nano-electrospray tandem mass spectrometry (2D-LC-MS/MS) (6). Relative to the two-dimensional gel-based approaches (7), MudPIT provides enhanced separation and when used in conjunction with MS/MS, surpasses the throughput and number of identifiable proteins detected in complex mixtures (8). Although we have demonstrated the general effectiveness of this approach, the identification and quantitation of the proteins expressed in a plant cell or tissue are still notoriously complicated by a number of factors, including the size and complexity of plant genomes, abundance of protein variants, as well as the dynamic range of protein identification. To overcome these challenges, improvements are needed in sample preparation, MS instrumentation, and data interpretation.The architecture of plant cell walls provides resistance to chemical and biological degradation, thus requiring mechanical and detergent-based lysis for optimal proteome analysis. However, this criterion presents a major challenge for plant proteomic research using electrospray mass spectrometry, as detergent-containing solutions can impede enzymatic digestion and cause significant analyte suppression (9). Therefore, most plant proteomic studies using the “MudPIT” strategy apply mechanical disruption in conjunction with a detergent-free preparation method (10). Typically, strong chaotropic agents such as urea and guanidine hydrochloride are used for the extraction, denaturation, and digestion of proteins. In a recent study, Mann et al. (2009) introduced a filter-aided sample preparation (FASP) method that uses and effectively removes sodium dodecyl sulfate (SDS) before enzymatic digestion and electrospray analysis (11). This study demonstrated enhanced retrieval of peptides from biological materials, yielding a more accurate representation of the proteome. We developed a similar experimental approach for extraction of proteins from plant tissue to obtain a more comprehensive, unbiased proteome characterization well beyond that achievable with currently available methods. Similar to the FASP method, we demonstrate the power of SDS for proteomic sample preparation, not only in its ability to more-thoroughly lyse cells, but also its ability to better solubilize both hydrophilic and hydrophobic proteins. This powerful attribute gives proteolytic enzymes maximum opportunity to generate peptides specific to their cleavage potential so that at least a few representative peptides can be obtained for proteins that would have otherwise been discarded or lost because of insolubility, e.g. membrane-bound proteins. Rather than performing a buffer exchange with urea, depletion of SDS is achieved by precipitating proteins out of solution using trichloroacetic acid.Characterization of protein expression in plants is further complicated by the heterogeneous mixture of various cell types, each with a unique proteome signature and individualized response to environmental chemical or physical signals. This inherent complexity of plant proteomes and the large dynamic range in protein abundance overwhelms current analytical platforms (12). Moreover, biochemical regulatory networks in plants are more elaborate and dynamic than in microbial species; consequently, many biological components are left undiscovered, including modified peptides and low-abundance proteins (13, 14, 15). Recent developments in ion-trap MS instrumentation, namely the dual-pressure linear ion trap mass spectrometer (LTQ Velos), have demonstrated improved ability to comprehensively characterize complex proteomics samples (16). Featuring a newly designed ion source and a two-chamber ion trap mass analyzer, the LTQ Velos achieves greater dynamic range, sensitivity, and speed of spectral acquisition when applied to complex proteomic samples. Cumulatively, the technological advancements afford substantial increases in the detection and identification of both proteins and unique peptides when compared with existing state-of-the-art technologies. Therefore, to satisfy the need for depth of proteome characterization in plants, we apply the newly developed LTQ Velos for mass spectrometry measurements of the Populus proteome.For most terrestrial plants, life begins and ends in the same physical location. For woody perennial plants, this sedentary lifestyle may last thousands of years. One consequence of this lifestyle is that each plant typically experiences dramatic changes in its ambient environment throughout its lifetime and, at any given time, equilibrium between endogenous growth processes and exogenous constraints exerted by the environment must be tightly controlled. To survive under varying environmental conditions, temporal plastic responses evoke patterns of protein expression that progressively influence morphological, anatomical, and functional traits of three principal organs—leaf, root, and stem. Collectively and individually, these organs operate to perceive and respond to periodic and chronic environment conditions. Currently, a comprehensive understanding of the spatial variation in protein expression patterns across the organ types is lacking for woody perennial plants, in which most large-scale proteome analyses with Populus were performed on isolated organs, tissues, organelles, or subcellular structures. For this reason, we combined the state-of-the-art LTQ-Velos platform with the SDS/TCA sample preparation methodology to generate a high-coverage proteome atlas of the principal organ types from Populus.     

Maintenance of temporal synchrony between syrphid flies and floral resources despite differential phenological responses to climate

Variation in species’ responses to abiotic phenological cues under climate change may cause changes in temporal overlap among interacting taxa, with potential demographic consequences. Here, we examine associations between the abiotic environment and plant–pollinator phenological synchrony using a long‐term syrphid fly–flowering phenology dataset (1992–2011). Degree‐days above freezing, precipitation, and timing of snow melt were investigated as predictors of phenology. Syrphids generally emerge after flowering onset and end their activity before the end of flowering. Neither flowering nor syrphid phenology has changed significantly over our 20‐year record, consistent with a lack of directional change in climate variables over the same time frame. Instead we document interannual variability in the abiotic environment and phenology. Timing of snow melt was the best predictor of flowering onset and syrphid emergence. Snow melt and degree‐days were the best predictors of the end of flowering, whereas degree‐days and precipitation best predicted the end of the syrphid period. Flowering advanced at a faster rate than syrphids in response to both advancing snow melt and increasing temperature. Different rates of phenological advancements resulted in more days of temporal overlap between the flower–syrphid community in years of early snow melt because of extended activity periods. Phenological synchrony at the community level is therefore likely to be maintained for some time, even under advancing snow melt conditions that are evident over longer term records at our site. These results show that interacting taxa may respond to different phenological cues and to the same cues at different rates but still maintain phenological synchrony over a range of abiotic conditions. However, our results also indicate that some individual plant species may overlap with the syrphid community for fewer days under continued climate change. This highlights the role of interannual variation in these flower–syrphid interactions and shows that species‐level responses can differ from community‐level responses in nonintuitive ways.     

A high density physical map of chromosome 1BL supports evolutionary studies,map-based cloning and sequencing in wheat

Background

As for other major crops, achieving a complete wheat genome sequence is essential for the application of genomics to breeding new and improved varieties. To overcome the complexities of the large, highly repetitive and hexaploid wheat genome, the International Wheat Genome Sequencing Consortium established a chromosome-based strategy that was validated by the construction of the physical map of chromosome 3B. Here, we present improved strategies for the construction of highly integrated and ordered wheat physical maps, using chromosome 1BL as a template, and illustrate their potential for evolutionary studies and map-based cloning.

Results

Using a combination of novel high throughput marker assays and an assembly program, we developed a high quality physical map representing 93% of wheat chromosome 1BL, anchored and ordered with 5,489 markers including 1,161 genes. Analysis of the gene space organization and evolution revealed that gene distribution and conservation along the chromosome results from the superimposition of the ancestral grass and recent wheat evolutionary patterns, leading to a peak of synteny in the central part of the chromosome arm and an increased density of non-collinear genes towards the telomere. With a density of about 11 markers per Mb, the 1BL physical map provides 916 markers, including 193 genes, for fine mapping the 40 QTLs mapped on this chromosome.

Conclusions

Here, we demonstrate that high marker density physical maps can be developed in complex genomes such as wheat to accelerate map-based cloning, gain new insights into genome evolution, and provide a foundation for reference sequencing.     

Aging in Mice Reduces the Ability to Sustain Sleep/Wake States

One of the most significant problems facing older individuals is difficulty staying asleep at night and awake during the day. Understanding the mechanisms by which the regulation of sleep/wake goes awry with age is a critical step in identifying novel therapeutic strategies to improve quality of life for the elderly. We measured wake, non-rapid eye movement (NREM) and rapid-eye movement (REM) sleep in young (2–4 months-old) and aged (22–24 months-old) C57BL6/NIA mice. We used both conventional measures (i.e., bout number and bout duration) and an innovative spike-and-slab statistical approach to characterize age-related fragmentation of sleep/wake. The short (spike) and long (slab) components of the spike-and-slab mixture model capture the distribution of bouts for each behavioral state in mice. Using this novel analytical approach, we found that aged animals are less able to sustain long episodes of wakefulness or NREM sleep. Additionally, spectral analysis of EEG recordings revealed that aging slows theta peak frequency, a correlate of arousal. These combined analyses provide a window into the mechanisms underlying the destabilization of long periods of sleep and wake and reduced vigilance that develop with aging.     

miR-192 Directly Binds and Regulates Dicer1 Expression in Neuroblastoma

Neuroblastoma (NB) arises from the embryonic neural crest and is the most common extracranial solid tumor in children under 5 years of age. Reduced expression of Dicer1 has recently been shown to be in correlation with poor prognosis in NB patients. This study aimed to investigate the mechanisms that could lead to the down-regulation of Dicer1 in neuroblastoma. We used computational prediction to identify potential miRs down-regulating Dicer1 in neuroblastoma. One of the miRs that were predicted to target Dicer1 was miR-192. We measured the levels of miR-192 in 43 primary tumors using real time PCR. Following the silencing of miR-192, the levels of dicer1 cell viability, cell proliferation and migration capability were analyzed. Multivariate analysis identified miR-192 as an independent prognostic marker for relapse in neuroblastoma patients (p=0.04). We were able to show through a dual luciferase assay and side-directed mutational analysis that miR-192 directly binds the 3'' UTR of Dicer1 on positions 1232-1238 and 2282-2288. An increase in cell viability, proliferation and migration rates were evident in NB cells transfected with miR-192-mimic. Yet, there was a significant decrease in proliferation when NB cells were transfected with an miR-192-inhibitor We suggest that miR-192 might be a key player in NB by regulating Dicer1 expression.     

Why Are Babies Dying in the First Month after Birth? A 7-Year Study of Neonatal Mortality in Northern Ghana

Objectives

To determine the neonatal mortality rate in the Kassena-Nankana District (KND) of northern Ghana, and to identify the leading causes and timing of neonatal deaths.

Methods

The KND falls within the Navrongo Health Research Centre’s Health and Demographic Surveillance System (HDSS), which uses trained field workers to gather and update health and demographic information from community members every four months. We utilized HDSS data from 2003–2009 to examine patterns of neonatal mortality.

Results

A total of 17,751 live births between January 2003 and December 2009 were recorded, including 424 neonatal deaths 64.8%(275) of neonatal deaths occurred in the first week of life. The overall neonatal mortality rate was 24 per 1000 live births (95%CI 22 to 26) and early neonatal mortality rate was 16 per 1000 live births (95% CI 14 to 17). Neonatal mortality rates decreased over the period from 26 per 1000 live births in 2003 to 19 per 1000 live births in 2009. In all, 32%(137) of the neonatal deaths were from infections, 21%(88) from birth injury and asphyxia and 18%(76) from prematurity, making these three the leading causes of neonatal deaths in the area. Birth injury and asphyxia (31%) and prematurity (26%) were the leading causes of early neonatal deaths, while infection accounted for 59% of late neonatal deaths. Nearly 46% of all neonatal deaths occurred during the first three postnatal days. In multivariate analysis, multiple births, gestational age <32 weeks and first pregnancies conferred the highest odds of neonatal deaths.

Conclusions

Neonatal mortality rates are declining in rural northern Ghana, with majority of deaths occurring within the first week of life. This has major policy, programmatic and research implications. Further research is needed to better understand the social, cultural, and logistical factors that drive high mortality in the early days following delivery.     

Child Behavior Checklist—Mania Scale (CBCL-MS): Development and Evaluation of a Population-Based Screening Scale for Bipolar Disorder

Context

Early identification of Bipolar Disorder (BD) remains poor despite the high levels of disability associated with the disorder.

Objective

We developed and evaluated a new DSM orientated scale for the identification of young people at risk for BD based on the Child Behavior Checklist (CBCL) and compared its performance against the CBCL-Pediatric Bipolar Disorder (CBCL-PBD) and the CBCL-Externalizing Scale, the two most widely used scales.

Methods

The new scale, CBCL-Mania Scale (CBCL-MS), comprises 19 CBCL items that directly correspond to operational criteria for mania. We tested the reliability, longitudinal stability and diagnostic accuracy of the CBCL-MS on data from the TRacking Adolescents'' Individual Lives Survey (TRAILS), a prospective epidemiological cohort study of 2230 Dutch youths assessed with the CBCL at ages 11, 13 and 16. At age 19 lifetime psychiatric diagnoses were ascertained with the Composite International Diagnostic Interview. We compared the predictive ability of the CBCL-MS against the CBCL-Externalising Scale and the CBCL-PBD in the TRAILS sample.

Results

The CBCL-MS had high internal consistency and satisfactory accuracy (area under the curve = 0.64) in this general population sample. Principal Component Analyses, followed by parallel analyses and confirmatory factor analyses, identified four factors corresponding to distractibility/disinhibition, psychosis, increased libido and disrupted sleep. This factor structure remained stable across all assessment ages. Logistic regression analyses showed that the CBCL-MS had significantly higher predictive ability than both the other scales.

Conclusions

Our data demonstrate that the CBCL-MS is a promising screening instrument for BD. The factor structure of the CBCL-MS showed remarkable temporal stability between late childhood and early adulthood suggesting that it maps on to meaningful developmental dimensions of liability to BD.