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1.
Int J Genomics ; 2018: 6897032, 2018.
Article in English | MEDLINE | ID: mdl-29581960

ABSTRACT

Inflorescence represents the highly specialized plant tissue producing the grains. Although key genes regulating flower initiation and development are conserved, the mechanism regulating fertility is still not well explained. To identify genes and gene network underlying inflorescence morphology and fertility of bread wheat, expressed sequence tags (ESTs) from different tissues were analyzed using a comparative transcriptomics approach. Based on statistical comparison of EST frequencies of individual genes in EST pools representing different tissues and verification with RT-PCR and RNA-seq data, 170 genes of 59 gene sets predominantly expressed in the inflorescence were obtained. Nearly one-third of the gene sets displayed differentiated expression profiles in terms of their subgenome orthologs. The identified genes, most of which were predominantly expressed in anthers, encode proteins involved in wheat floral identity determination, anther and pollen development, pollen-pistil interaction, and others. Particularly, 25 annotated gene sets are associated with pollen wall formation, of which 18 encode enzymes or proteins participating in lipid metabolic pathway, including fatty acid ω-hydroxylation, alkane and fatty alcohol biosynthesis, and glycerophospholipid metabolism. We showed that the comparative transcriptomics approach was effective in identifying genes for reproductive development and found that lipid metabolism was particularly active in wheat anthers.

2.
Huan Jing Ke Xue ; 34(10): 3832-9, 2013 Oct.
Article in Chinese | MEDLINE | ID: mdl-24364300

ABSTRACT

In order to assess contamination by polycyclic aromatic hydrocarbons (PAHs), surface sediments and marine organism samples of fish, shrimp and shellfish were collected from the Dapeng Bay, Shenzhen in October 2011. Concentrations fof sixteen priority PAHs were determined by gas chromatography and mass spectrometry (GC-MS). The total concentrations of PAHs (Sigma PAHs ) ranged from 216. 56 ng.g-1 to 1 314. 92 ng.g-1 dry weight in sediment samples and from 70. 88 ng.g-1 to 251.90 ng.g-1 wet weight in biological samples, respectively. The mean concentration was the highest in fish (171.52 ng.g-1 ), followed by mussel (134.75 ng.g-1) and shrimp (123.35 ng.g-1) in the studied marine organisms. Compared with those in other water bodies around the world, PAHs pollution in the studied area was at medium level. The dominant fraction in the surface sediments was the 4-ring PAHs. Identification of PAH sources suggested that PAHs in Dapeng Bay were likely originated from both pyrolytic and petrogenic sources. The most abundant PAHs were 3-ring PAHs in the tissues of organisms, which may be governed by their feeding behaviors, habitats, and bioavailability of PAHs. Ecological risk assessment indicated that PAHs in surface sediments might have adverse impacts on local ecosystem. Health risk analysis revealed that the potency equivalent concentrations of BaP to the total PAHs in marine organisms from Dapeng Bay were relatively high and may cause some concerns on human health by consumption.


Subject(s)
Environmental Monitoring , Geologic Sediments/chemistry , Polycyclic Aromatic Hydrocarbons/analysis , Water Pollutants, Chemical/analysis , Animals , Bays , Bivalvia , China , Ecosystem , Fishes , Gas Chromatography-Mass Spectrometry , Risk Assessment , Shellfish
3.
Bull Environ Contam Toxicol ; 87(5): 506-11, 2011 Nov.
Article in English | MEDLINE | ID: mdl-21874403

ABSTRACT

Green-lipped mussels (Perna viridis) were exposed to waterborne tributyltin chloride (TBTCl) at different concentrations (0.2, 0.4 and 0.8 µg L(-1)) for up to 72 h. Accumulated TBTCl in Perna viridis correlated linearly with the exposure concentrations of 0.2 µg L(-1)(R(2) = 0.772), 0.4 µg L(-1)(R(2) = 0.952), and 0.8 µg L(-1)(R(2) = 0.909). The results of superoxide dismutase (SOD), glutathione peroxidase (GPx) and malondialdehyde (MDA) all decreased in gill tissues after 24 h of exposure, but the hepatic SOD and the hepatic GPx showed either little or no effect on exposure of TBTCl solutions. Analysis using the Spearman rank correlation coefficient showed the hepatic GPx activity appeared to have a significant negative correlativity (R(s) = -0.42) with the exposed TBTCl concentrations, and the hepatic MDA was significantly negatively correlated (R(s) = -0.33) with the tissue TBTCl concentrations. Conversely, a significant positive correlation (R(s) = 0.60) was shown between the gill MDA contents and exposure time. This study illustrates oxyradical scavenger GPx best correlated with stress level of pollutants among the various antioxidant parameters.


Subject(s)
Perna/metabolism , Trialkyltin Compounds/toxicity , Water Pollutants, Chemical/toxicity , Animals , Glutathione Peroxidase/metabolism , Malondialdehyde/metabolism , Perna/drug effects , Superoxide Dismutase/metabolism , Toxicity Tests, Acute , Trialkyltin Compounds/metabolism , Water Pollutants, Chemical/metabolism
4.
Ying Yong Sheng Tai Xue Bao ; 19(4): 922-7, 2008 Apr.
Article in Chinese | MEDLINE | ID: mdl-18593059

ABSTRACT

With a mixed solution of lead (Pb), zinc (Zn), copper (Cu), nickel (Ni), cadmium (Cd), chromium (Cr), mercury (Hg) and arsenic (As), this paper studied the accumulation and release characteristics of test heavy metals in Crassostrea rivalaris. The results showed that C. rivalaris had a strong ability to accumulate Pb, Cu, Ni, Cd, Cr and Hg, being able to indicate the concentration levels of these heavy metals in solution, but a weak ability to accumulate Zn and As. In the following 35 days release stage, no significant change was observed in the contents of test heavy metals in C. rivalaris, suggesting that C. rivalaris had weak ability to release heavy metals. Two-compartment kinetic model could well fit the accumulation of heavy metals in C. rivalaris, but failed in simulating their release characteristics.


Subject(s)
Crassostrea/metabolism , Environmental Exposure/analysis , Metals, Heavy/metabolism , Water Pollutants/metabolism , Algorithms , Animals , Environmental Monitoring/methods , Kinetics
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