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  • Wiley  (4)
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  • Wiley  (4)
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  • Biodiversity Research  (4)
  • 1
    Online Resource
    Online Resource
    Wiley ; 2014
    In:  ELECTROPHORESIS Vol. 35, No. 23 ( 2014-12), p. 3310-3316
    In: ELECTROPHORESIS, Wiley, Vol. 35, No. 23 ( 2014-12), p. 3310-3316
    Abstract: The separation of six kinds of aromatic acids by CZE with 1‐ethyl‐3‐methylimidazolium chloride (EMIMCl) and 1‐ethyl‐3‐methylimidazolium hydrogen sulfate (EMIMHSO 4 ) , two kinds of ionic liquids (ILs) as background electrolytes, and acetonitrile as solvent were investigated. The six kinds of aromatic acids can be separated under positive voltage with low IL concentration with either of the two ILs and separation with EMIMHSO 4 is better in consideration of peak shapes and separation efficiency. But the migration order is different when the IL is different. Under negative voltage with high IL concentration, the six analytes can be separated with EMIMCl as background electrolytes and the migration order of the analytes is opposite to those with low concentration of EMIMCl as background electrolyte. The separations are based on the combination effects of heteroconjugation between the anions and cations in the ILs and the analytes, of which the heteroconjugation between the anions in the ILs and the analytes plays a dominant role. The heteroconjugation between the anions of the ILs and analytes is proton sensitive and only a very small amount of proticsolvents added into the electrolyte solution can harm the separation. When EMIMCl concentration is high, the heteroconjugation between the IL anions and the proton in the analytes make the effective mobility of the analytes much higher than the EOF and their migration direction reversed. Finally, the six aromatic acids in water samples were analyzed by nonaqueous CE with low concentration of EMIMHSO 4 as background electrolytes with satisfactory results.
    Type of Medium: Online Resource
    ISSN: 0173-0835 , 1522-2683
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 1475486-1
    SSG: 12
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  • 2
    In: New Phytologist, Wiley, Vol. 215, No. 2 ( 2017-07), p. 877-890
    Abstract: Reticulate speciation caused by interspecific hybridization is now recognized as an important mechanism in the creation of biological diversity. However, depicting the patterns of phylogenetic networks for lineages that have undergone interspecific gene flow is challenging. Here we sequenced 25 taxa representing natural diversity in the genus Actinidia with an average mapping depth of 26× on the reference genome to reconstruct their reticulate history. We found evidence, including significant gene tree discordance, cytonuclear conflicts, and changes in genome‐wide heterozygosity across taxa, collectively supporting extensive reticulation in the genus. Furthermore, at least two separate parental species pairs were involved in the repeated origin of the hybrid lineages, in some of which a further phase of syngameon was triggered. On the basis of the elucidated hybridization relationships, we obtained a highly resolved backbone phylogeny consisting of taxa exhibiting no evidence of hybrid origin. The backbone taxa have distinct demographic histories and are the product of recent rounds of rapid radiations via sorting of ancestral variation under variable climatic and ecological conditions. Our results suggest a mode for consecutive plant diversification through two layers of radiations, consisting of the rapid evolution of backbone lineages and the formation of hybrid swarms derived from these lineages.
    Type of Medium: Online Resource
    ISSN: 0028-646X , 1469-8137
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 208885-X
    detail.hit.zdb_id: 1472194-6
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  • 3
    In: ELECTROPHORESIS, Wiley, Vol. 34, No. 24 ( 2013-12), p. 3326-3332
    Abstract: A method was developed to determine brazilin and protosappanin B in natural products by CE after acid barrage stacking. The optimum conditions were as follows: a BGE of 20 mM sodium tetraborate (p H 9.2) containing 6% v/v of methanol, hydrodynamic injection (0.5 psi, 65 s) followed by hydrodynamic injection of 150 mM citric acid (pH 2.3; 0.5 psi, 22 s), and separated with +25 kV. Under these conditions, brazilin and protosappanin B were separated with a sample‐to‐sample time less than 13 min and detection limits of 0.28 μg/mL and 0.15 μg/mL, respectively. The applicability of the developed method was demonstrated by the detection of brazilin and protosappanin in methanol extract of sappan lignum.
    Type of Medium: Online Resource
    ISSN: 0173-0835 , 1522-2683
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2013
    detail.hit.zdb_id: 1475486-1
    SSG: 12
    Location Call Number Limitation Availability
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  • 4
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  Animal Genetics Vol. 53, No. 6 ( 2022-12), p. 888-891
    In: Animal Genetics, Wiley, Vol. 53, No. 6 ( 2022-12), p. 888-891
    Abstract: Principal component regression (PC regression) is a useful method developed for prediction based on a dimension‐reducing strategy. Generally, the principal components (PCs) are added to the regression model one by one based on the eigenvalue (PC‐Eigen). Considering that some PCs with large eigenvalues may be poorly associated with the response variable, the PC‐Eigen may not be the best framework. Researchers previously tried to add PCs to the model based on their contribution to the sum of squares of the regression (PC‐SS) and they found that the performance of PC‐SS is generally lower than that of the PC‐Eigen. A standard approach for selecting the optimal set of PCs remains a challenge. Here, from the cosine similarity theory, we postulated that we could rank the PCs by dot product, and this framework (we called PC‐DOT) could help to preferentially extract PCs that are highly correlated with the response variable and meanwhile have a large eigenvalue. Based on one simulated and three real genomic datasets (a total of 15 traits), we tested the prediction ability of different frameworks. In general, the PC‐DOT method showed a better performance than both PC‐Eigen and PC‐SS. To facilitate the application of PC, we attached a series of R codes for different frameworks ( https://github.com/SUNHAO‐JLU/Genome_Prediction‐PC_DOT ). In addition, the HAT matrix was used to reduce the compute complex in reference data during the cross‐validation process. Our work may help researchers to better understand and carry out the PC regression model.
    Type of Medium: Online Resource
    ISSN: 0268-9146 , 1365-2052
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1472889-8
    SSG: 22
    SSG: 12
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