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81.
Nora Stern Ayala Hochman Naty Zemach Nir Weizman Ilan Hammel Yosef Shiloh Galit Rotman Ari Barzilai 《The Journal of biological chemistry》2002,277(1):602-608
Ataxia-telangiectasia (A-T) is a human genetic disorder caused by mutational inactivation of the ATM gene. A-T patients display a pleiotropic phenotype, in which a major neurological feature is progressive ataxia due to degeneration of cerebellar Purkinje and granule neurons. Disruption of the mouse Atm locus creates a murine model of A-T that exhibits most of the clinical and cellular features of the human disease, but the neurological phenotype is barely expressed. We present evidence for the accumulation of DNA strand breaks in the brains of Atm(-/-), supporting the notion that ATM plays a major role in maintaining genomic stability. We also show a perturbation of the steady state levels of pyridine nucleotides. There is a significant decrease in both the reduced and the oxidized forms of NAD and in the total levels of NADP(T) and NADP(+) in the brains of Atm(-/-) mice. The changes in NAD(T), NADH, NAD(+), NADP(T), and NADP(+) were progressive and observed primarily in the cerebellum of 4-month-old Atm(-/-) mice. Higher rates of mitochondrial respiration were also recorded in 4-month-old Atm(-/-) cerebella. Taken together, our findings support the hypothesis that absence of functional ATM results in continuous stress, which may be an important cause of the degeneration of cerebellar neurons in A-T. 相似文献
82.
Logan J. Pallin Nick M. Kellar Debbie Steel Natalia Botero-Acosta C. Scott Baker Jack A. Conroy Daniel P. Costa Chris M. Johnson David W. Johnston Ross C. Nichols Doug P. Nowacek Andrew J. Read Oksana Savenko Oscar M. Schofield Sharon E. Stammerjohn Deborah K. Steinberg Ari S. Friedlaender 《Global Change Biology》2023,29(8):2108-2121
The krill surplus hypothesis of unlimited prey resources available for Antarctic predators due to commercial whaling in the 20th century has remained largely untested since the 1970s. Rapid warming of the Western Antarctic Peninsula (WAP) over the past 50 years has resulted in decreased seasonal ice cover and a reduction of krill. The latter is being exacerbated by a commercial krill fishery in the region. Despite this, humpback whale populations have increased but may be at a threshold for growth based on these human-induced changes. Understanding how climate-mediated variation in prey availability influences humpback whale population dynamics is critical for focused management and conservation actions. Using an 8-year dataset (2013–2020), we show that inter-annual humpback whale pregnancy rates, as determined from skin-blubber biopsy samples (n = 616), are positively correlated with krill availability and fluctuations in ice cover in the previous year. Pregnancy rates showed significant inter-annual variability, between 29% and 86%. Our results indicate that krill availability is in fact limiting and affecting reproductive rates, in contrast to the krill surplus hypothesis. This suggests that this population of humpback whales may be at a threshold for population growth due to prey limitations. As a result, continued warming and increased fishing along the WAP, which continue to reduce krill stocks, will likely impact this humpback whale population and other krill predators in the region. Humpback whales are sentinel species of ecosystem health, and changes in pregnancy rates can provide quantifiable signals of the impact of environmental change at the population level. Our findings must be considered paramount in developing new and more restrictive conservation and management plans for the Antarctic marine ecosystem and minimizing the negative impacts of human activities in the region. 相似文献
83.
84.
The rate of in vitro Nicotiana tabacum L. “Bel-W3” pollen tube growth was reduced 62 and 44%, respectively, when pollen tubes were exposed to 120 ppb ozone (O3) for 3 hr or 300 μW/cm2 ultraviolet-B (u.v.-B) radiation for 30 min. Petunia hybrida Vilm. “White Cascade” pollen tube growth was reduced 34 and 59%, respectively, upon exposure to O3 or u.v.-B at the above doses. The combination of u.v.-B at 300 μW/cm2 for 30 min, followed by O3 at 120 ppb for 3 hr, reduced pollen tube growth by 79% for “Bel-W3” and 75% for “White Cascade”. The effect appeared to be additive, implying that different target areas may be affected by the two stressors. In the Northeast, plants are exposed to both u.v.-B and O3 during the normal growing season. This may result in an unexpectedly higher stress on the reproductive system than had been previously suspected based on these two stressors acting individually. 相似文献
85.
Glen R. Hood Thomas H. Q. Powell Meredith M. Doellman Sheina B. Sim Mary Glover Wee L. Yee Robert B. Goughnour Monte Mattsson Dietmar Schwarz Jeffrey L. Feder 《Evolution; international journal of organic evolution》2020,74(1):156-168
Ecological speciation via host-shifting is often invoked as a mechanism for insect diversification, but the relative importance of this process is poorly understood. The shift of Rhagoletis pomonella in the 1850s from the native downy hawthorn, Crataegus mollis, to introduced apple, Malus pumila, is a classic example of sympatric host race formation, a hypothesized early stage of ecological speciation. The accidental human-mediated introduction of R. pomonella into the Pacific Northwest (PNW) in the late 1970s allows us to investigate how novel ecological opportunities may trigger divergent adaptation and host race formation on a rapid timescale. Since the introduction, the fly has spread in the PNW, where in addition to apple, it now infests native black hawthorn, Crataegus douglasii, and introduced ornamental hawthorn, Crataegus monogyna. We use this “natural experiment” to test for genetic differentiation among apple, black, and ornamental hawthorn flies co-occurring at three sympatric sites. We report evidence that populations of all three host-associations are genetically differentiated at the local level, indicating that partial reproductive isolation has evolved in this novel habitat. Our results suggest that conditions suitable for initiating host-associated divergence may be common in nature, allowing for the rapid evolution of new host races when ecological opportunity arises. 相似文献
86.
87.
Ulukaya E Acilan C Yilmaz M Yilmaztepe-Oral A Ari F Zik B Ursavas A Tokullugil AH 《Cell biochemistry and function》2010,28(7):565-570
The Fas/Fas Ligand (FasL) system and survivin have counteracting roles in cell survival. Therefore, we explored the role of circulating soluble Fas (sFas) and the tissue levels of Fas and survivin with regard to response to chemotherapy in lung cancer patients. Serum samples from 52 lung cancer patients and 54 control subjects (19 benign lung disease and 35 healthy control subjects) were collected prior to and 24 and 48 h after chemotherapy. sFas was statistically significantly higher in the cancer group than that in the control groups (p < 0.001). Baseline (before chemotherapy) sFas values showed a statistically significant inverse correlation with overall survival (r = ?0.599, p < 0.001). There was a significant increase in serum sFas levels 24 h after treatment (p < 0.05). Contrarily, tissue levels of Fas and survivin were not changed following the chemotherapy (p > 0,05). In conclusion, increased sFas may be an indicator of poor outcome in lung cancer patients. However, cisplatin‐based chemotherapy may not be effective via neither the Fas/FasL system nor survivin pathway. Indeed, larger sample size is required for further evaluation. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
88.
Ari Jumpponen Karen Keating Gary Gadbury Kenneth L Jones J David Mattox 《Plant signaling & behavior》2010,5(9):1157-1161
Diverse fungal mutualists, pathogens and saprobes colonize plant leaves. These fungi face a complex environment, in which stochastic dispersal interplays with abiotic and biotic filters. However, identification of the specific factors that drive the community assembly seems unattainable. We mined two broad data sets and identified chemical elements, to which dominant molecular operational taxonomic units (OTUs) in the foliage of a native tree respond most extremely. While many associations could be identified, potential complicating issues emerged. Those were related to unevenly distributed OTU frequency data, a large number of potentially explanatory variables and the disproportionate effects of outlier observations.Key words: community assembly, environmental filter, fungi, heavy metal enrichment, nutrient enrichment, oak, Quercus macrocarpaHyperdiverse fungal communities inhabit the foliage of most plants1,2 and these fungal communities have been reported for virtually every plant that has been examined.3 Baas-Becking hypothesis states that environment selects microbial communities from the abundant and possibly globally distributed propagule pools.4 Although the foliage-associated communities—like other microbial communities—are suspected to be sensitive to environmental drivers, determination of the mechanisms that control the assembly of these foliar communities has remained difficult and elusive. Some of the proposed mechanisms include distance limitations to propagule dispersal,5–7 volume limitations to propagule loads,7 or limitations set by the environmental conditions either on the scale of the site of fungal colonization8 or more broadly on a landscape level.6,9 The forces that may control the fungal community assembly are overlaid by additional biotic controls that include compatibilities between the fungi and host species10,11 or genotypes6,12 and the competitive or facilitative interactions among the component fungal genotypes.6,10–13 Although a variety of potential controls for the foliage-associated fungal communities have been speculated, very little consensus exists on the relative importance of the different drivers. For example, while macronutrient and heavy metal enrichment may have an influence on the composition fungal communities14 and populations,15 relative importance of various chemical elements in the foliage remains yet to be investigated.To evaluate the use of multi-element fingerprinting data produced by Inductively Coupled Plasma Mass Spectrometry (ICP-MS) in combination with high throughput 454-pyrosequencing for determining influential chemical elements in structuring of the leaf-associated fungal communities, we mined a recent dataset16 that explored the effects of urbanization on the diversity and composition of the fungal communities associated with a native tree Quercus macrocarpa. From a total list of more than 700 non-singleton fungal OTUs, we selected fifty with highest overall frequency to provide an observationrich dataset for elemental effect assessment; these OTUs accounted for 84.5% of all sequences. Even so, many of these OTUs had a number of zero frequencies (Fig. 1), highlighting one of the difficulties in the use of environmental sequencing data. We omitted one OTU (OTU630 with a likely affinity to Trimmatostroma cordae [Mycosphaerellaceae]) that was strongly affected by the original land use design (urbanization; Wilcoxon rank sum test with a Bonferroni adjustment) and therefore unlikely to be representative for the present analyses of elemental drivers. This OTU was replaced with one with the next highest frequency. The frequencies of these 50 OTUs were investigated in the context of concentrations for 29 elements after the omission of five (Ag, Au, C, δ13C, δ15N) in the final analyses because of their strong association with the land use or the difficulty of finding a biological relevance. Of the remaining elements three (Fe, Cr and Ni) had pairwise correlations exceeding 0.98 between the three pairings; others showed no similar high correlations. To allow comparable evaluation across the broad array of elements, all concentrations were standardized to have a mean equal to zero and a standard deviation equal to one.Open in a separate windowFigure 1Rank-ordered distribution of observed frequencies for those OTU s whose frequency had an extreme slope when associated with the concentrations of one or more chemical elements in the mixed effects model. The asterisk denotes one extreme frequency for OTU 313 with a value 0.8636. Numbers in parentheses indicate the number of observations with a frequency equal to zero. The OTU s were assigned to approximate taxa using BLAST:20 425: Alternaria alternata (Pleosporaceae); 46: Phoma glomerata (Pleosporaceae); 686: Aureobasidium pullulans (Dothioraceae); 520: Davidiella tassiana (Davidiellaceae); 567: Cladosporioum tenuissimum (Davidiellaceae); 313 Oidium heveae (mitosporic Erysiphaceae); 586: Erysiphe hypogena (Erysiphaceae); 671: Mycosphaerella microsora (Mycosphaerellaceae); 555: Pestalotiopsis sp. (Amphisphaeriaceae); 607: Pleiochaeta setosa (incertae sedis).To rank elements according to their magnitude of association with the abundance of each OTU, a total of 1,450 models (50 OTUs times 29 elements) relating element concentration to OTU abundance were fit to the data. For each model, OTU frequency was the dependent variable, element concentration and time (a factor with three levels) were fixed effects, and—to account for the spatial arrangement of the experimental units—random effects associated with tree nested within site were included in the error structure. Time by element interactions were also investigated and tested using a likelihood ratio test. These mixed effect models were fit using R and the package lme4 (www.rproject.org).Statistical “tests of significance” that produce p-values can be sensitive to assumptions or outliers. Because of this and the fact that our analyses evaluated a total of 1,450 models, p-values themselves were not considered a reliable measure of importance when associating elements with OTU frequency. Instead, we emphasized metrics that highlight extraordinary findings rather than rely on tests of statistical significance. This approach facilitates finding few elements that have the strongest effect on OTU frequency. Note that the use of standardized element concentrations (above) provided slope coefficients that are comparable across all models. “Extreme slopes”, i.e., models where the OTU response to element concentration was strongest, were identified as those with estimated slope coefficients in the lower or upper 2.5 percentile, i.e., those farther than 1.8 standard deviations from the mean across all estimated slopes (Fig. 2). Using this approach, we identified a total of 69 models with extreme slopes (Open in a separate windowFigure 2Distribution of estimated slopes (i.e., the slope for element concentration) for a model relating OTU frequency to element concentration, time and a concentration by time interaction, including a tree-nested-within-site random effect. The mean across all 1,450 OTU s is approximately zero; the two vertical lines identify upper and lower 2.5 percentiles, beyond which the slopes were considered extreme (large black symbols). The horizontal line identifies the cut off maximum leverage (0.24), above which the slopes were considered to have observations with high leverage. Models with observations with a high leverage were tested for extreme slopes by refitting without those observations. Models are ranked from bottom to top in order of increasing leverage and the element for which the high-leverage observations and extreme slopes were recorded are identified on the right y-axis.
Open in a separate windowPositive slopes are indicated by +, negative by −. Parentheses indicate where a statistically significant (α = 0.05) interaction was observed (likelihood ratio test). Extreme slopes with observations with high leverage are identified by an asterisk (*) and those where omission of high-leverage observations lead to a non-extreme slopes are identified by two asterisks (**). Note that eight of the ten OTU s in the table had an extreme slope with at least one element concentration after accounting for high leverage and interactions in the model.Unfortunately, the models with extreme slopes were often affected by high leverage observations (outliers in the explanatory variables) that may have exerted substantial influence on the magnitudes of the slopes. We accounted for this by computing leverage values based on the fixed effect model matrix (element concentration and time) for each model. High leverage was defined as those observations with leverage approximately twice the mean leverage over all samples for a particular model as is considered conventional by some authors.17 This value was approximately 0.24 for our models. The models with high leverage and extreme slopes were re-evaluated by refitting the model to the data after omission of the influential observations. Of the 69 models with extreme slopes only 22 were void of influential observations by our metric (Fig. 1). Our analyses included the possibility of identifying those models that were affected by numerous low frequencies and a few high frequency observations. We argue that the few higher frequencies are most likely indicative of those elements that also have extreme concentrations in the same samples; we did not want to miss such findings. Second, no one element controls the occurrence of all or even majority, of the OTUs, but the OTUs appear to respond positively or negatively to different drivers. This is strongly visible even among the eight that remained through our rigorous evaluation of a vast number of models. This can be interpreted in the context of a niche. Foliage represents a complex abiotic physicochemical habitat within which organisms are sorted based by stochastic arrival parameters, but also by either environmental tolerances or nutritional preferences. Those fungi best able to colonize and invade the available substrate under any given combination of the complex physical and chemical environmental matrix will persist and be detected most frequently. Thirdly, even for one OTU, many elements may have strong and occasionally opposing effects. For example, for OTU425, B, Cd, Ce, Cu, Na, had positive effects, whereas N, P, Sc had negative effects (18,19 it is tempting to speculate on species replacement or on tolerance to nutrient enrichment as a result of changes in the abiotic chemical environment. However, one must exercise caution: as we point out above, a number of other alternative factors come to play when a correlative relationship like this is considered across two discrete and complex datasets. Several heavy metal concentrations also showed either positive or negative associations with the fungal OTU frequencies. To exemplify, the frequencies of OTUs 313 and 425 were positively associated with the concentrations of Cd and OTU 46 was positively associated with Zn, whereas OTUs 313 and 586 were negatively associated Hg and Pb concentrations, respectively. Does this mean that these species differ in their sensitivities to these particular heavy metals? Not necessarily, but these observational data provide a starting point for more explicit hypothesis-driven experiments that allow for specific elucidation of the fungal responses to these elements and may guide future experimentation.We conducted a high-dimensional exploratory analysis to evaluate potential effects of element concentration on OTU frequencies. Using a repeated measures mixed effects model, we were able to compile a brief list of chemical elements with the most likely (based on these data) strongest effects on the abundances of the dominant components of the phyllosphere-associated fungal communities. Complicating the use of usual methods of statistical inference (i.e., use of p-values) was the sparseness in the occurrence of many OTUs across samples and outlying observations in the concentration of some elements. We chose the extreme slopes approach that allowed ranking associations between OTU frequency and element concentration with no assumptions regarding normality or equivariance that may be violated using traditional tools of inference (e.g., Analysis of Variance). Still, some of the observed associations may have been affected by extreme leverage points (outliers in the explanatory variables) and these were accounted for in the present analyses by model re-evaluation after omission of the high-leverage observations. While our analyses identified a number of biologically meaningful associations between chemical elements and molecular OTUs, rigorous experimentation is mandatory to establish causative relationships. 相似文献
Table 1
Slopes identified as extreme in our analysesElement | OTU 425 | OTU 46 | OTU 686 | OTU 520 | OTU 567 | OTU 313 | OTU 586 | OTU 671 | OTU 555 | OTU 607 |
B | +* | +* | +* | |||||||
Ba | − | − | ||||||||
Ca | −* | (−)* | −* | (+)* | +** | |||||
Cd | + | + | (+) | |||||||
Ce | + | (+) | − | |||||||
Co | +** | −* | ||||||||
Cr | −* | |||||||||
Cu | +* | −** | −* | |||||||
Fe | −* | |||||||||
Hg | +** | −* | ||||||||
K | (−) | + | − | + | (−) | (+) | ||||
Li | (+)* | (+)* | −* | |||||||
Mn | +* | |||||||||
Mo | −* | |||||||||
N | −* | +* | (+)* | |||||||
Na | + | |||||||||
Ni | −* | |||||||||
P | −* | (+)* | ||||||||
Pb | +** | −* | ||||||||
Rb | +** | +* | −* | −* | ||||||
S | (−)* | +* | +* | +* | ||||||
Sc | − | (−) | − | |||||||
Se | − | |||||||||
Sn | − | − | (−) | |||||||
Sr | +* | |||||||||
Y | +* | −* | +* | (+)* | ||||||
Zn | (−)* | +* | −** | (+)* |
89.
The loss and fragmentation of forest habitats have been considered to pose a worldwide threat to the viability of forest-dwelling
animals, especially to species that occupy old forests. We investigated whether the annual survival of sedentary male Tengmalm’s
owls Aegolius funereus was associated with the cover of old coniferous forests in Finland. Survival and recapture probabilities varied annually
with density changes in populations of the main prey (Microtus voles). When this variation was controlled for, and relationships between survival and proportions of the three different
forest age classes (old-growth, middle-aged, and young) were modeled separately, the old-growth model was the most parsimonious.
Survival increased with the cover of old forest, although the extent of old forest within owl territories was relatively small
(mean ∼12%, range 2–37%). This association, however, varied among years and appeared especially in years of increasing vole
abundance. At such times, old forests may sustain high populations of bank voles Clethrionomys glareolus, shrews and small passerines. In addition, old forests may serve as refuges against large avian predator species, such as
Ural owls Strix uralensis and goshawks Accipiter gentilis. Our results suggest that changes in habitat quality created by agriculture and forestry may have the potential to reduce
adult survival, an essential component of fitness and population viability. 相似文献
90.