Analysis of fatty acid composition of sea cucumber Apostichopus japonicus using multivariate statistics
文献类型：CNKI期刊论文
| 作者 | Xu QZ(徐勤增); Gao F(高菲); Xu Q(许强); Yang HS(杨红生)
|
| 发表日期 | 2014-11-15 |
| 出处 | Chinese Journal of Oceanology and Limnology
 |
| 关键词 | fatty acid(FAs) Apostichopus japonicus aestivation multivariate analysis |
| 英文摘要 | Fatty acids(FAs) provide energy and also can be used to trace trophic relationships among organisms.Sea cucumber Apostichopus japonicus goes into a state of aestivation during warm summer months.We examined fatty acid profiles in aestivated and non-aestivated A.japonicus using multivariate analyses(PERMANOVA,MDS,ANOSIM,and SIMPER).The results indicate that the fatty acid profiles of aestivated and non-aestivated sea cucumbers differed significantly.The FAs that were produced by bacteria and brown kelp contributed the most to the differences in the fatty acid composition of aestivated and nonaestivated sea cucumbers.Aestivated sea cucumbers may synthesize FAs from heterotrophic bacteria during early aestivation,and long chain FAs such as eicosapentaenoic(EPA) and docosahexaenoic acid(DHA) that produced from intestinal degradation,are digested during deep aestivation.Specific changes in the fatty acid composition of A.japonicus during aestivation needs more detailed study in the future. |
| 文献子类 | CNKI期刊论文 |
| 资助机构 | Supported by the National Marine Public Welfare Research Project(No.201305043) ; the National Natural Science Foundation of China(No.41106134) ; the National Key Technology R&D Program of China(Nos.2011BAD13B02,2010BAC68B01) |
| 卷 | v.32期:06页:117-122 |
| 语种 | 英文; |
| 分类号 | S917.4 |
| ISSN号 | 0254-4059 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/190255]  |
| 专题 | 中国科学院海洋研究所 |
| 作者单位 | 1.InstituteofOceanology,ChineseAcademyofSciences 2.YellowSeaFisheriesResearchInstitute,ChineseAcademyofFisherySciences |
| 推荐引用方式 GB/T 7714 | Xu QZ,Gao F,Xu Q,et al. Analysis of fatty acid composition of sea cucumber Apostichopus japonicus using multivariate statistics. 2014. |
入库方式： OAI收割
来源：海洋研究所
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