Literature DB >> 20540116

Rapid transcriptome and proteome profiling of a non-model marine invertebrate, Bugula neritina.

Hao Wang1, Huoming Zhang, Yue Him Wong, Christian Voolstra, Timothy Ravasi, Vladimir B Bajic, Pei-Yuan Qian.   

Abstract

Non-model organisms represent the majority of life forms in our planet. However, the lack of genetic information hinders us to understand the unique biological phenomena in non-model organisms at the molecular level. In this study, we applied a tandem transcriptome and proteome profiling on a non-model marine fouling organism, Bugula neritina. Using a 454 pyrosequencing platform with the updated titanium reagents, we generated a total of 48M bp transcriptome data consisting of 131 450 high-quality reads. Of these, 122 650 reads (93%) were assembled to produce 6392 contigs with an average length of 538 bases and the remaining 8800 reads were singletons. Of the total 15 192 unigenes, 13 863 ORFs were predicated, of which 6917 were functionally annotated based on gene ontology and eukaryotic orthologous groups. Subsequent proteome analysis identified and quantified 882 proteins from B. neritina. These results would provide fundamental and important information for the subsequent studies of molecular mechanism in larval biology, development, antifouling research. Furthermore, we demonstrated, for the first time, the combined use of two high-throughput technologies as a powerful approach for accelerating the studies of non-model but otherwise important species.

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Year:  2010        PMID: 20540116     DOI: 10.1002/pmic.201000056

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  27 in total

1.  Estrogen alters the profile of the transcriptome in river snail Bellamya aeruginosa.

Authors:  Kun Lei; Ruizhi Liu; Li-Hui An; Ying-Feng Luo; Gerald A LeBlanc
Journal:  Ecotoxicology       Date:  2014-11-15       Impact factor: 2.823

2.  De novo transcriptome characterization of Lilium 'Sorbonne' and key enzymes related to the flavonoid biosynthesis.

Authors:  Ming-fang Zhang; Ling-min Jiang; Dong-mei Zhang; Gui-xia Jia
Journal:  Mol Genet Genomics       Date:  2014-10-12       Impact factor: 3.291

Review 3.  Neurocognitive Disorders in Heart Failure: Novel Pathophysiological Mechanisms Underpinning Memory Loss and Learning Impairment.

Authors:  C Toledo; D C Andrade; H S Díaz; N C Inestrosa; R Del Rio
Journal:  Mol Neurobiol       Date:  2019-06-05       Impact factor: 5.590

4.  Dependency on de novo protein synthesis and proteomic changes during metamorphosis of the marine bryozoan Bugula neritina.

Authors:  Yue Him Wong; Shawn M Arellano; Huoming Zhang; Timothy Ravasi; Pei-Yuan Qian
Journal:  Proteome Sci       Date:  2010-05-24       Impact factor: 2.480

5.  Transcriptome sequencing and annotation of the microalgae Dunaliella tertiolecta: pathway description and gene discovery for production of next-generation biofuels.

Authors:  Hamid Rismani-Yazdi; Berat Z Haznedaroglu; Kyle Bibby; Jordan Peccia
Journal:  BMC Genomics       Date:  2011-03-14       Impact factor: 3.969

6.  Toward an understanding of the molecular mechanisms of barnacle larval settlement: a comparative transcriptomic approach.

Authors:  Zhang-Fan Chen; Kiyotaka Matsumura; Hao Wang; Shawn M Arellano; Xingcheng Yan; Intikhab Alam; John A C Archer; Vladimir B Bajic; Pei-Yuan Qian
Journal:  PLoS One       Date:  2011-07-29       Impact factor: 3.240

7.  Comparing de novo assemblers for 454 transcriptome data.

Authors:  Sujai Kumar; Mark L Blaxter
Journal:  BMC Genomics       Date:  2010-10-16       Impact factor: 3.969

8.  Transcriptome analysis reveals unique C4-like photosynthesis and oil body formation in an arachidonic acid-rich microalga Myrmecia incisa Reisigl H4301.

Authors:  Long-Ling Ouyang; Si-Hong Chen; Yan Li; Zhi-Gang Zhou
Journal:  BMC Genomics       Date:  2013-06-13       Impact factor: 3.969

9.  De novo assembly, gene annotation and marker development using Illumina paired-end transcriptome sequences in celery (Apium graveolens L.).

Authors:  Nan Fu; Qian Wang; Huo-Lin Shen
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

10.  Transcriptome and proteome data reveal candidate genes for pollinator attraction in sexually deceptive orchids.

Authors:  Khalid E M Sedeek; Weihong Qi; Monica A Schauer; Alok K Gupta; Lucy Poveda; Shuqing Xu; Zhong-Jian Liu; Ueli Grossniklaus; Florian P Schiestl; Philipp M Schlüter
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

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