Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Wang, Haifeng
- Simultaneous Removal of Phenanthrene and Ni(II) Co-contaminants from Sandy Soil Column by Triton X-100 and Citric Acid Flushing
Abstract Views :110 |
PDF Views:0
Authors
Baowei Zhao
1,
Haifeng Wang
1
Affiliations
1 School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, No. 88, West Anning Rd., Lanzhou 730070, CN
1 School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, No. 88, West Anning Rd., Lanzhou 730070, CN
Source
Nature Environment and Pollution Technology, Vol 16, No 2 (2017), Pagination: 607-613Abstract
The remediation of soils co-contaminated with heavy metals (HMs) and hydrophobic organic compounds (HOCs) is urgent. In this paper, the simultaneous removal of phenanthrene and Ni(II) co-contaminants from sandy soil column by 3250 mg/L of Triton X-100 (TX100) and 0.1 mol/L of citric acid (CA) flushing was conducted. The removal effects were compared and discussed when CA after TX100 (TX100/ CA), TX100 after CA (CA/TX100), and a mixture of TX100 and CA (TX100-CA) were used as flushing agents. The maximum concentrations of phenanthrene in effluent solutions appeared when the pore volume number (PVN) of influent was 3, 17.5 and 4 while those of Ni(II) occurred at 12.5, 2 and 2.5 of PVN during TX100/CA, CA/TX100 and TX100-CA flushing, respectively. The total removal efficiencies of phenanthrene were upto 93.7%, 94.5%, and 93.1%, while those of Ni(II) were 80.2%, 80.4% and 80.7% due to TX100/CA, CA/TX100 and TX100-CA flushing, respectively. Larger PVN was required for TX100/CA and CA/TX100 to clean phenanthrene and Ni(II) efficiently. The removal efficiencies of contaminants increased with PVN in Sigmoidal Model. The results showed that flushing using nonionic surfactant and organic acid is promising for in-situ remediation of soils contaminated with HMs and HOCs.Keywords
Co-Contaminant, Column Flushing, Surfactant, Organic Acid.Full Text
- Genomic Variation Mapping and Detection of Novel Genes Based on Genome-Wide Survey of an Elite Upland Cotton Hybrid (Gossypium hirsutum L.)
Abstract Views :206 |
PDF Views:76
Authors
Zhenyu Wang
1,
Wei Li
1,
Guanghui Xiao
2,
Xiaojian Zhou
1,
Xiaoyu Pei
1,
Yangai Liu
1,
Kehai Zhou
1,
Kunlun He
1,
Junfang Liu
1,
Ying Li
1,
Wensheng Zhang
1,
Zhongying Ren
1,
Qingqin Meng
1,
Haifeng Wang
1,
Xiongfeng Ma
1,
Daigang Yang
1
Affiliations
1 State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, CN
2 College of Life Sciences, Shaanxi Normal University, Xi’an 710119, CN
1 State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, CN
2 College of Life Sciences, Shaanxi Normal University, Xi’an 710119, CN
Source
Current Science, Vol 115, No 4 (2018), Pagination: 701-709Abstract
CCRI63, with the largest cultivated area among hybrids in China, is a successful promotion of elite up-land cotton (Gossypium hirsutum L.) hybrid cultivar. We have constructed a detailed genomic variation map of CCRI63 by aligning whole-genome shotgun sequencing reads from CCRI63 to the TM-1 reference genome. Genomic single nucleotide poly-morphism (SNP) and insertion-deletion (Indel) muta-tional hotspots were identified, most of which were located on chromosome D02, and associated with dis-ease resistance and lipid glycosylation and modification. The density of heterozygous SNP sites showed 73 quantitative trait loci overlapped with peak intervals of high-density heterozygous SNPs, suggesting that the heterozygous sites in the peak are important for improvement of CCRI63 yield and fibre quality. To avoid loss of genetic components, unmapped reads were used for de novo assembly of the missing regions in the reference genome, and 153 novel functional genes were obtained. The large-scale genetic variation and novel functional genes identified in the CCRI63 genome can facilitate future gene-phenotype studies and provide an additional resource for the improvement of cotton.Keywords
Cotton Hybrid, Genomic Variation Map, Mutational Hotspots, Novel Genes.Full Text
References
- Fryxell, P., A revised taxonomic interpretation of Gossypium L. (Malvaceae). Rheedea, 1992, 2, 108–165.
- Brubaker, C. L., Bourland, F. and Wendel, J. F., The origin and domestication of cotton. In Cotton: Origin, History, Technology and Production, John Wiley, New York, 1999, pp. 3–31.
- Kim, H. J. and Triplett, B. A., Cotton fibre growth in planta and in vitro. Models for plant cell elongation and cell wall biogenesis. Plant Physiol., 2001, 127, 1361–1366.
- Shangguan, X. X., Yang, C. Q., Zhang, X. F. and Wang, L. J., Functional characterization of a basic helix–loop–helix (bHLH) transcription factor GhDEL65 from cotton (Gossypium hirsutum). Physiol. Plant., 2016, 158(2), 200–212.
- Tiwari, N., Sharma, P. K. and Malathi, V. G., Functional charac-terization of C1 gene of cotton leaf curl multan betasatellite. Vi-rus Genes, 2013, 46, 111–119.
- Fang, L., Tian, R., Li, X., Chen, J., Wang, S., Wang, P. and Zhang, T., Cotton fibre elongation network revealed by expression profiling of longer fibre lines introgressed with different Gossypi-um barbadense chromosome segments. BMC Genomics, 2014, 15, 838.
- Zhang, T. et al., Sequencing of allotetraploid cotton (Gossypium hirsutum L. Acc. Tm-1) provides a resource for fibre improve-ment. Nature Biotechnol., 2015, 33, 531–537.
- Wang, K., Huang, G. and Zhu, Y., Transposable elements play an important role during cotton genome evolution and fibre cell de-velopment. Sci. China Life Sci., 2016, 59, 112–121.
- Tang, M. et al., Rapid evolutionary divergence of Gossypium bar-badense and G. hirsutum mitochondrial genomes. BMC Genomics, 2015, 16, 770.
- Liu, Y. et al., A Gossypium BAC clone contains key repeat com-ponents distinguishing sub-genome of allotetraploidy cottons. Mol. Cytogenet., 2016, 9, 27.
- Campbell, B. T. et al., Status of the global cotton germplasm re-sources. Crop Sci., 2010, 50, 1161.
- Shang, L. et al., Genetic analysis of upland cotton dynamic heter-osis for boll number per plant at multiple developmental stages. Sci. Rep., 2016, 6, 35515.
- Li, B. et al., Genetic effects and heterosis of yield and yield com-ponent traits based on Gossypium barbadense chromosome seg-ment substitution lines in two Gossypium hirsutum backgrounds. PLoS One, 2016, 11, e0157978.
- Liu, R. et al., Quantitative trait loci mapping for yield and its components by using two immortalized populations of a heterotic hybrid in Gossypium hirsutum L. Mol. Breed., 2012, 29, 297–311.
- Guo, X. et al., Mapping heterotic loci for yield and agronomic traits using chromosome segment introgression lines in cotton. J. Integr. Plant Biol., 2013, 55, 759–774.
- Liang, Q., Shang, L., Wang, Y. and Hua, J., Partial dominance, overdominance and epistasis as the genetic basis of heterosis in upland cotton (Gossypium hirsutum L.). PLOS ONE, 2015, 10, e0143548.
- Shang, L., Wang, Y., Cai, S., Wang, X., Li, Y., Abduweli, A. and Hua, J., Partial dominance, overdominance, epistasis and QTL by environment interactions contribute to heterosis in two upland cot-ton hybrids. G3: Genes|Genomes|Genetics (Bethesda, Md), 2015, 6, 499–507.
- Mace, E. S. et al., Whole-genome sequencing reveals untapped genetic potential in Africa’s indigenous cereal crop sorghum. Na-ture Commun., 2013, 4, 2320.
- Lin, J. et al., Genome re-sequencing and bioinformatics analysis of a nutraceutical rice. Mol. Genet. Genomics: MGG, 2015, 290, 955–967.
- Kim, M. Y. et al., Whole-genome sequencing and intensive analy-sis of the undomesticated soybean (Glycine soja sieb. and zucc.) ge-nome. Proc. Natl. Acad. Sci. USA, 2010, 107, 22032–22037.
- Chung, W. H. et al., Population structure and domestication re-vealed by high-depth resequencing of Korean cultivated and wild soybean genomes. DNA Res., 2014, 21, 153–167.
- Srivastava, S. K., Wolinski, P. and Pereira, A., A strategy for ge-nome-wide identification of gene based polymorphisms in rice re-veals non-synonymous variation and functional genotypic markers. PLoS One, 2014, 9, e105335.
- Li, F. et al., Genome sequence of cultivated upland cotton (Gossy-pium hirsutum TM-1) provides insights into genome evolution. Nature Biotechnol., 2015, 33, 524–530.
- Paterson, A. H., Brubaker, C. L. and Wendel, J. F., A rapid meth-od for extraction of cotton (Gossypium spp.) genomic DNA suita-ble for RFLP or PCR analysis. Plant Mol. Biol. Rep., 1993, 11,122–127.
- Li, H. and Durbin, R., Fast and accurate short read alignment withBurrows–Wheeler transform. Bioinformatics, 2009, 25, 1754–1760.
- Li, H. et al., The sequence alignment/map format and SAMtools.Bioinformatics, 2009, 25, 2078–2079.
- Chen, K. et al., Break dancer: an algorithm for high-resolutionmapping of genomic structural variation. Nature Meth., 2009, 6,677–681.
- Abyzov, A., Urban, A. E., Snyder, M. and Gerstein, M., CNVna-tor: An approach to discover, genotype, and characterize typicaland atypical CNVs from family and population genome sequenc-ing. Genome Res., 2011, 21, 974–984.
- Wang, K., Li, M. and Hakonarson, H., ANNOVAR: functionalannotation of genetic variants from high-throughput sequencing data. Nucl. Acids Res., 2010, 38, e164–e164.
- Li, R. et al., De novo assembly of human genomes with massivelyparallel short read sequencing. Genome Res., 2010, 20, 265– 272.
- Lam, H. M. et al., Resequencing of 31 wild and cultivated soy-bean genomes identifies patterns of genetic diversity and selec-tion. Nature Genet., 2010, 42, 1053–1059.
- McNally, K. L. et al., Genomewide SNP variation reveals rela-tionships among landraces and modern varieties of rice. Proc.Natl. Acad. Sci. USA, 2009, 106, 12273–12278.
- Shull, G. H., What is ‘heterosis’? Genetics, 1948, 33, 439– 446.
- Fu, D. et al., What is crop heterosis: new insights into an old top-ic. J. Appl. Genet., 2015, 56, 1–13.
- Schuster, S. C., Next-generation sequencing transforms today’sbiology. Nat. Meth., 2008, 5, 16–18.
- Zhou, D. et al., Pedigree-based analysis of derivation of genomesegments of an elite rice reveals key regions during its breeding.Plant Biotechnol. J., 2016, 14, 638–648.
- Ouyang, S. et al., The TIGR Rice Genome Annotation Resource:improvements and new features. Nucleic Acids Res., 2007, 35,D883–D887.
- Lai, J. et al., Genome-wide patterns of genetic variation among elite maize inbred lines. Nature Genet., 2010, 42, 1027–1030.
- Wang, M. et al., Asymmetric subgenome selection and cis-regulatory divergence during cotton domestication. Nature Genet.,2017, 49, 579–587.
- Fang, L. et al., Genomic insights into divergence and dual domes-tication of cultivated allotetraploid cottons. Genome Biol., 2017,18, 33.
- Yang, Z. and Bielawski, J. P., Statistical methods for detecting molecular adaptation. Trends Ecol. Evol., 2000, 15, 496–503.
- Crow, J. F., 90 years ago: the beginning of hybrid maize. Genet-ics, 1998, 148, 923–928.
- East, E. M., Inbreeding in corn. Rep. Conn. Agric. Exp. Stn, 1908,1907, 419–428.
- Fang, L. et al., Genomic analyses in cotton identify signatures of selection and loci associated with fibre quality and yield traits.Nature Genet., 2017, 49, 1089–1098.