Liaoning Ocean and Fishery Science Research Institute

Dalian, China

Liaoning Ocean and Fishery Science Research Institute

Dalian, China
SEARCH FILTERS
Time filter
Source Type

Li Y.,Liaoning Ocean and Fishery Science Research Institute | Wang B.,Liaoning Ocean and Fishery Science Research Institute | Wang A.,Liaoning Ocean and Fishery Science Research Institute | Yu X.,Liaoning Ocean and Fishery Science Research Institute | And 3 more authors.
Journal of Fisheries of China | Year: 2017

To study the germplasm resources and genetic diversity of the wild population of Hippocampus japonicus, the mitochondrial DNA control region fragments were obtained from wild populations by PCR amplification. The homologous sequences of other Syngnathidae fishes from GenBank were also included in this study. PCR amplification products of 557-558 bp CR fragments were obtained, and the average contents of A, T, G and C were 34.3%, 29.7%, 14.1%, 21.9%, respectively. A total of 16 polymorphic nucleotide sites were detected, which defined 16 haplotypes. The variation level was low as H was 0.70±0.02 and π was 0.0032±0.0021. With the aid of the homologous sequences retrieved from GenBank, phylogenetic trees were constructed based on neibour-joining (NJ), maximum-likelihood (ML) and Bayesian inference (BI) methods to build phylogenetic relationships within the Syngnathidae fishes. The phylogenic analysis showed that the topology of phylogenetic trees were almost consistent with each other, although the NJ tree and the ML/BI tree were somewhat different. The phylogenic analyses of CR gene sequences were also consistent with morphological taxonomy. Based on the results, several conclusions were drawn as follows: (1) CR is an appropriate marker for the seahorse species identification and population genetic analysis; (2) CR is highly divergent among different Syngnathidae fishes and could be an appropriate marker for molecular systematic studies. This study is expected to provide important information for the protection and utilization of H. japonicus resources in China.


Huang X.,CAS Research Center for Eco Environmental Sciences | Gao Y.,CAS Research Center for Eco Environmental Sciences | Jiang B.,Liaoning Ocean and Fishery Science Research Institute | Zhou Z.,Liaoning Ocean and Fishery Science Research Institute | Zhan A.,CAS Research Center for Eco Environmental Sciences
Gene | Year: 2015

As invasive species have successfully colonized a wide range of dramatically different local environments, they offer a good opportunity to study interactions between species and rapidly changing environments. Gene expression represents one of the primary and crucial mechanisms for rapid adaptation to local environments. Here, we aim to select reference genes for quantitative gene expression analysis based on quantitative Real-Time PCR (qRT-PCR) for a model invasive ascidian, Ciona savignyi. We analyzed the stability of ten candidate reference genes in three tissues (siphon, pharynx and intestine) under two key environmental stresses (temperature and salinity) in the marine realm based on three programs (geNorm, NormFinder and delta Ct method). Our results demonstrated only minor difference for stability rankings among the three methods. The use of different single reference gene might influence the data interpretation, while multiple reference genes could minimize possible errors. Therefore, reference gene combinations were recommended for different tissues - the optimal reference gene combination for siphon was RPS15 and RPL17 under temperature stress, and RPL17, UBQ and TubA under salinity treatment; for pharynx, TubB, TubA and RPL17 were the most stable genes under temperature stress, while TubB, TubA and UBQ were the best under salinity stress; for intestine, UBQ, RPS15 and RPL17 were the most reliable reference genes under both treatments. Our results suggest that the necessity of selection and test of reference genes for different tissues under varying environmental stresses. The results obtained here are expected to reveal mechanisms of gene expression-mediated invasion success using C. savignyi as a model species. © 2015 Elsevier B.V.


Song Y.,Liaoning Ocean and Fishery Science Research Institute | Tian J.,Liaoning Ocean and Fishery Science Research Institute | Wu J.,Liaoning Ocean and Fishery Science Research Institute | Zhang Y.,Liaoning Ocean and Fishery Science Research Institute | And 3 more authors.
Research of Environmental Sciences | Year: 2015

To investigate the distribution and possible origins of metallic pollutants in surface sediments of Liaodong Bay, 38 samples were collected over two consecutive seasons, May (spring) and August (summer) 2013. The concentrations of six typical metallic pollutants were monitored and analyzed, and correlation, principal component, and cluster analyses were used to establish the linkages between different parameters, to determine the possible origins of the pollutants. The results indicated that the concentrations of copper (Cu), lead (Pb), zinc (Zn), cadmium (Cd), mercury (Hg) and arsenic (As) in spring were 28.77, 26.62, 108.89, 0.50, 0.03 and 12.09 mg/kg, while in summer they were 26.05, 24.22, 71.93, 0.22, 0.05 and 11.03 mg/kg, respectively. One-way analysis of variance showed that there were significant differences between the concentrations of Cu, Zn, Cd and Hg in surface sediments in spring and summer, but not between the concentrations of Pb and As. In spring, trace metal contamination was mainly confined to the northwestern coastal area of Liaodong Bay, from the mouth of the Xiaoling River to the south of Huludao; however, during summer it was distributed throughout the northern area of the bay, and also throughout Bayuquan and Jinzhou Bay. The main sources of heavy metal contamination in spring were organic matter complex, marine anthropogenic sources, industrial wastewater, urban sewage and river discharge, while in summer, with the exception of organic matter complex, the sources remained the same, but were supplemented with additional stormwater runoff. The pollution statuses of heavy metals of the 38 monitoring stations were divided into three groups based on the average enrichment factors (AEF). Cu, Zn, Hg and As belonged to slight degree, Pb belonged to medium degree, and Cd belonged to strong degree, which showed that the concentrations of metallic pollutants around the western and northern offshore areas were much higher than those in the central region of the study area. ©, 2015, Editorial department of Molecular Catalysis. All right reserved.


Song Y.,Liaoning Ocean and Fishery Science Research Institute | Yu C.,Liaoning Ocean and Fishery Science Research Institute | Tian J.,Liaoning Ocean and Fishery Science Research Institute | Du J.,Liaoning Ocean and Fishery Science Research Institute | And 3 more authors.
Research of Environmental Sciences | Year: 2015

Ecological risk assessment and early warning of surface sediments in Liaodong Bay were conducted by a geoaccumulation index (Igeo), a potential ecological risk index (RI) and an ecological risk warning model (IER) based on the concentrations of a range of heavy metals (As, Cd, Cu, Hg, Pb and Zn) from August 2012 to August 2014.The Igeo results showed that the regional sediments were practically uncontaminated (Igeo<0). The sequence of different elements' Igeo was As>Cu>Zn>Pb>Cd>Hg in both 2012 and 2013, while it changed to As>Zn>Cu>Pb>Hg>Cd in 2014.The contaminated areas were mainly distributed in the northern estuaries of Liaodong Bay and near Huludao. The average potential ecological risk indexes for single heavy metals (Er i) were less than 40, and the potential toxicity response index (RI) from 2012 to 2014 was less than 150, which was in the low risk category. Approximately 5.6% of the sampling sites were classified in the second ecological risk level (0


Wu J.,Liaoning Ocean and Fishery Science Research Institute | Wang Z.,Liaoning Ocean and Fishery Science Research Institute | Wang B.,Liaoning Ocean and Fishery Science Research Institute | Zhou Z.,Liaoning Ocean and Fishery Science Research Institute | Wang N.,Liaoning Ocean and Fishery Science Research Institute
Chinese Journal of Chromatography (Se Pu) | Year: 2013

A method was developed for the determination of benzene series (BTEX) in marine sediment by headspace solid phase microextraction (HS-SPME) and gas chromatography-mass spectrometry (GC-MS). The conditions for extraction and gas chromatography, such as the amount of salt added, equilibrium time, extraction temperature, extraction time, desorption time and injection temperature, were optimized. The analytes were quantitatively analyzed by the internal standard method. The results showed that the linear correlation coefficients of BTEX compounds were from 0. 995 to 0. 999 in the range of 0. 500 - 20. 0ng/g. The detection limits of this method were from 0. 081 8 to 0. 175ng/g, with the RSDs of inter- and intra-day of 1. 2% - 3. 6% (n = 5) and 0. 4% - 6. 3% (n = 3). The average recoveries under two different spiked concentrations (2. 0 and 15. 0ng) were 61. 7% -79. 5% and 77. 1% -85. 6% with RSDs of 5. 4% -9. 6% and 3. 9% -7. 6% (n =5), respectively. This method is quick, sensitive, simple, accurate and reproducible. It can be used to analyze the marine sediment samples with trace BTEX.


Wang Q.,Liaoning Ocean and Fishery Science Research Institute | Li Q.,Ocean University of China | Kong L.,Ocean University of China | Yu R.,Ocean University of China
Journal of Ocean University of China | Year: 2012

Mass selection for fast growth was conducted in three Pacific oyster (Crassostrea gigas) stocks from China, Japan and Korea using previously established lines (CS1, JS1, and KS1). To determine whether continuous progress can be achieved by selection for growth, the progeny of three second-generation Pacific oyster lines was selected for shell height and evaluated via a 400-day farming experiment. When harvested at the end of the experiment, the selected crosses of CS2, JS2, and KS2 lines grew by 9. 2%, 10. 2% and 9. 6% larger than the control crosses, respectively. During grow-out stage, the genetic gain of three selected lines was (10. 2 ± 1. 4)%, (10. 4 ± 0. 3)%, and (8. 4 ± 1. 6)%, respectively; and the corresponding realized heritability was 0. 457 ± 0. 143, 0. 312 ± 0. 071 and 0. 332 ± 0. 009, respectively. These results indicated that the selection for fast growth achieved steady progress in the second generation of oyster. Our work provides supportive evidence for the continuity of the Pacific oyster selective breeding program. © 2012 Science Press, Ocean University of China and Springer-Verlag Berlin Heidelberg.


Wang M.,Liaoning Normal University | Wang M.,Key Laboratory of Plant Biotechnology of Liaoning Province | Li S.-G.,Liaoning Normal University | Li S.-G.,Key Laboratory of Plant Biotechnology of Liaoning Province | And 3 more authors.
Chinese Journal of Ecology | Year: 2010

In order to understand the genetic structure of wild Sargassum thunbergii populations along Dalian coast, an inter-simple sequence repeat (ISSR) analysis was made on the genetic diversity and genetic relationships of six geographic populations of S. thunbergii, including five populations DC, DT, JJ, SC and YC from Dalian coast and one population PL from Penglai. 160 ISSR loci tested, 145 (90. 62%) were polymorphic with 14 different ISSR primers. The values of percentage of polymorphic bands (PPB), Shannon' s index (I), and Nei' s gene diversity (H) were 41. 25%-64. 38%, 0. 2321-0. 3464, and 0. 1585-0. 2333, respectively. Dalian populations had higher genetic diversity than Penglai population. The analysis of molecular variance (AMOVA) showed that in the total genetic variation, the variation within populations was 35. 66%, and the variation among populations was 64. 34%. The value of gene flow (Nm) among the six populations was 0. 7837, suggesting a limited gene flow among the populations. The UPGMA tree based on Nei's genetic identity showed that population DC was clustered with populations DT and JJ, then with populations SC and YC, and finally with PL. All the results suggested that different reproductive mode and different growth environment might have critical roles in the genetic differentiation of S. thunbergii populations.


PubMed | CAS Research Center for Eco Environmental Sciences and Liaoning Ocean and Fishery Science Research Institute
Type: Journal Article | Journal: Gene | Year: 2015

As invasive species have successfully colonized a wide range of dramatically different local environments, they offer a good opportunity to study interactions between species and rapidly changing environments. Gene expression represents one of the primary and crucial mechanisms for rapid adaptation to local environments. Here, we aim to select reference genes for quantitative gene expression analysis based on quantitative Real-Time PCR (qRT-PCR) for a model invasive ascidian, Ciona savignyi. We analyzed the stability of ten candidate reference genes in three tissues (siphon, pharynx and intestine) under two key environmental stresses (temperature and salinity) in the marine realm based on three programs (geNorm, NormFinder and delta Ct method). Our results demonstrated only minor difference for stability rankings among the three methods. The use of different single reference gene might influence the data interpretation, while multiple reference genes could minimize possible errors. Therefore, reference gene combinations were recommended for different tissues - the optimal reference gene combination for siphon was RPS15 and RPL17 under temperature stress, and RPL17, UBQ and TubA under salinity treatment; for pharynx, TubB, TubA and RPL17 were the most stable genes under temperature stress, while TubB, TubA and UBQ were the best under salinity stress; for intestine, UBQ, RPS15 and RPL17 were the most reliable reference genes under both treatments. Our results suggest that the necessity of selection and test of reference genes for different tissues under varying environmental stresses. The results obtained here are expected to reveal mechanisms of gene expression-mediated invasion success using C. savignyi as a model species.

Loading Liaoning Ocean and Fishery Science Research Institute collaborators
Loading Liaoning Ocean and Fishery Science Research Institute collaborators