详细信息
Identification of the differentially expressed genes of Pinctada maxima individuals with different sizes through transcriptome analysis ( SCI-EXPANDED收录) 被引量:20
文献类型:期刊文献
英文题名:Identification of the differentially expressed genes of Pinctada maxima individuals with different sizes through transcriptome analysis
作者:Wang, Ziman[1];Liang, Feilong[1];Huang, Ronglian[1];Deng, Yuewen[1];Li, Junhui[1]
机构:[1]Guangdong Ocean Univ, Fishery Coll, Zhanjiang 524025, Guangdong, Peoples R China
年份:2019
卷号:26
外文期刊名:REGIONAL STUDIES IN MARINE SCIENCE
收录:SCI-EXPANDED(收录号:WOS:000459857800007)、、WOS
基金:This work was financially supported by the Science and Technology Department, Guangdong Province, China (grant number 2015A030302079 and 2017A030303076); "Innovation Team Project'' (grant number: 2017KCXTD016) from the Department of Education of Guangdong Province, China; the China Agriculture Research System (grant number CARS-049).
语种:英文
外文关键词:Pinctada maxima; Transcriptome; Growth; Immunity
外文摘要:The oyster species Pinctada maxima is cultured for the production of large pearls with high economic value. Pearl weight and thickness are related to the growth of P. maxima. The molecular mechanism underlying the growth of this species, however, remains poorly understood given the limited availability of the genetic and genomic information of this species. Here, the molecular mechanism of the asynchronous growth of P. maxima was investigated. The transcriptomes of large and small P. maxima individuals were sequenced using the Illumina HiSeq 2000 platform. A total of 145,877 unigenes were generated for the transcriptomes, and 1,921 differentially expressed genes (DEGs) were identified. Compared with the slow-growing group, the fast-growing group showed 879 and 1,042 significantly up- and down-regulated DEGs, respectively. The differential expression patterns of nine selected genes were obtained through real-time quantitative polymerase chain reaction analysis and showed consistency with those obtained through RNA-Seq analysis. The results of this study provide further insight on the complexity of the differential growth patterns of P. maxima individuals and will help guide the design of breeding programs for this economically important species. (C) 2019 Published by Elsevier B.V.
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