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991.
Generalization of the QST framework in hierarchically structured populations: Impacts of inbreeding and dominance 下载免费PDF全文
Philippe Cubry Ivan Scotti Sylvie Oddou‐Muratorio François Lefèvre 《Molecular ecology resources》2017,17(6):e76-e83
QST is a differentiation parameter based on the decomposition of the genetic variance of a trait. In the case of additive inheritance and absence of selection, it is analogous to the genic differentiation measured on individual loci, FST. Thus, QST?FST comparison is used to infer selection: selective divergence when QST > FST, or convergence when QST < FST. The definition of Q‐statistics was extended to two‐level hierarchical population structures with Hardy–Weinberg equilibrium. Here, we generalize the Q‐statistics framework to any hierarchical population structure. First, we developed the analytical definition of hierarchical Q‐statistics for populations not at Hardy–Weinberg equilibrium. We show that the Q‐statistics values obtained with the Hardy–Weinberg definition are lower than their corresponding F‐statistics when FIS > 0 (higher when FIS < 0). Then, we used an island model simulation approach to investigate the impact of inbreeding and dominance on the QST?FST framework in a hierarchical population structure. We show that, while differentiation at the lower hierarchical level (QSR) is a monotonic function of migration, differentiation at the upper level (QRT) is not. In the case of additive inheritance, we show that inbreeding inflates the variance of QRT, which can increase the frequency of QRT > FRT cases. We also show that dominance drastically reduces Q‐statistics below F‐statistics for any level of the hierarchy. Therefore, high values of Q‐statistics are good indicators of selection, but low values are not in the case of dominance. 相似文献
992.
993.
Bacterial community composition and diversity of a full-scale integrated fixed-film activated sludge system as investigated by pyrosequencing 总被引:5,自引:0,他引:5
Kwon S Kim TS Yu GH Jung JH Park HD 《Journal of microbiology and biotechnology》2010,20(12):1717-1723
The integrated fixed-film activated sludge (IFAS) system is a variation of the activated sludge wastewater treatment process, in which hybrid suspended and attached biomass is used to treat wastewater. Although the function and performance of the IFAS system are well studied, little is known about its microbial community structure. In this study, the composition and diversity of the bacterial community of suspended and attached biomass samples were investigated in a full-scale IFAS system using a highthroughput pyrosequencing technology. Distinct bacterial community compositions were examined for each sample and appeared to be important for its features different from conventional activated sludge processes. The abundant bacterial groups were Betaproteobacteria (59.3%), Gammaproteobacteria (8.1%), Bacteroidetes (5.2%), Alphaproteobacteria (3.9%), and Actinobacteria (3.2%) in the suspended sample, whereas Actinobacteria (14.6%), Firmicutes (13.6%), Bacteroidetes (11.6%), Betaproteobacteria (9.9%), Gammaproteobacteria (9.25%), and Alphaproteobacteria (7.4%) were major bacterial groups in the attached sample. Regarding the diversity, totals of 3,034 and 1,451 operational taxonomic units were identified at the 3% cutoff for the suspended and attached samples, respectively. Rank abundance and community analyses demonstrated that most of the diversity was originated from rare species in the samples. Taken together, the information obtained in this study will be a base for further studies relating to the microbial community structure and function of the IFAS system. 相似文献
994.
目的探讨细胞周期对于大鼠局灶性脑缺血后神经元的影响。方法采用MCAO方法制作大鼠局灶性脑缺血模型,应用免疫荧光技术观察缺血后1d、3d、7d、14d大鼠缺血侧病灶周围神经元中磷酸化细胞周期蛋白CDK2、CDC2及磷酸化Rb的表达。结果与正常对照组相比,缺血后1d、3d组磷酸化CDK2和磷酸化Rb的表达量明显增加(P〈0.05)。缺血后7d、14d组磷酸化CDK2和磷酸化Rb的表达量无增加。磷酸化CDC2在正常组及缺血组均无明显表达。结论大鼠局灶性脑缺血后早期部分神经元再次进入细胞周期,提示细胞周期调控参与了大鼠局灶性脑缺血后神经元的凋亡。 相似文献
995.
Zhang SL Kozak JA Jiang W Yeromin AV Chen J Yu Y Penna A Shen W Chi V Cahalan MD 《The Journal of biological chemistry》2008,283(25):17662-17671
We evaluated currents induced by expression of human homologs of Orai together with STIM1 in human embryonic kidney cells. When co-expressed with STIM1, Orai1 induced a large inwardly rectifying Ca(2+)-selective current with Ca(2+)-induced slow inactivation. A point mutation of Orai1 (E106D) altered the ion selectivity of the induced Ca(2+) release-activated Ca(2+) (CRAC)-like current while retaining an inwardly rectifying I-V characteristic. Expression of the C-terminal portion of STIM1 with Orai1 was sufficient to generate CRAC current without store depletion. 2-APB activated a large relatively nonselective current in STIM1 and Orai3 co-expressing cells. 2-APB also induced Ca(2+) influx in Orai3-expressing cells without store depletion or co-expression of STIM1. The Orai3 current induced by 2-APB exhibited outward rectification and an inward component representing a mixed calcium and monovalent current. A pore mutant of Orai3 inhibited store-operated Ca(2+) entry and did not carry significant current in response to either store depletion or addition of 2-APB. Analysis of a series of Orai1-3 chimeras revealed the structural determinant responsible for 2-APB-induced current within the sequence from the second to third transmembrane segment of Orai3. The Orai3 current induced by 2-APB may reflect a store-independent mode of CRAC channel activation that opens a relatively nonselective cation pore. 相似文献
996.
997.
Combined effect of sodium dodecyl sulfate and enzyme on waste activated sludge hydrolysis and acidification 总被引:4,自引:0,他引:4
Luo K Yang Q Yu J Li XM Yang GJ Xie BX Yang F Zheng W Zeng GM 《Bioresource technology》2011,102(14):7103-7110
The combined effect of sodium dodecyl sulfate (SDS) and enzyme system on hydrolysis and acidification of waste activated sludge (WAS) was investigated. The results showed that the combined system was more effective in the promotion of sludge hydrolysis than sole SDS and sole enzyme, and the SDS + mixed-enzymes (ME) system had better hydrolysis performance than SDS + single enzyme system. Compared with SDS + protease and SDS + amylase systems, the soluble protein concentration in SDS + ME system increased respectively by 20.0% and 44.4%, and the soluble carbohydrate concentration increased by 78.3% and 37.0%, respectively. During the WAS acidification stage, the SDS, ME and SDS + ME system could make the maximum short-chain fatty acids (SCFAs) concentration increased by 1.82 (6th day), 2.04 (5th day), 2.32 (7th day) times, respectively. The composition analysis of SCFAs produced in SDS + ME system indicated that acetic acid was the most prevalent product and propionic acid was the second one. 相似文献
998.
999.
1000.
Rosie A. Fisher Charles D. Koven William R. L. Anderegg Bradley O. Christoffersen Michael C. Dietze Caroline E. Farrior Jennifer A. Holm George C. Hurtt Ryan G. Knox Peter J. Lawrence Jeremy W. Lichstein Marcos Longo Ashley M. Matheny David Medvigy Helene C. Muller‐Landau Thomas L. Powell Shawn P. Serbin Hisashi Sato Jacquelyn K. Shuman Benjamin Smith Anna T. Trugman Toni Viskari Hans Verbeeck Ensheng Weng Chonggang Xu Xiangtao Xu Tao Zhang Paul R. Moorcroft 《Global Change Biology》2018,24(1):35-54
Numerous current efforts seek to improve the representation of ecosystem ecology and vegetation demographic processes within Earth System Models (ESMs). These developments are widely viewed as an important step in developing greater realism in predictions of future ecosystem states and fluxes. Increased realism, however, leads to increased model complexity, with new features raising a suite of ecological questions that require empirical constraints. Here, we review the developments that permit the representation of plant demographics in ESMs, and identify issues raised by these developments that highlight important gaps in ecological understanding. These issues inevitably translate into uncertainty in model projections but also allow models to be applied to new processes and questions concerning the dynamics of real‐world ecosystems. We argue that stronger and more innovative connections to data, across the range of scales considered, are required to address these gaps in understanding. The development of first‐generation land surface models as a unifying framework for ecophysiological understanding stimulated much research into plant physiological traits and gas exchange. Constraining predictions at ecologically relevant spatial and temporal scales will require a similar investment of effort and intensified inter‐disciplinary communication. 相似文献