title: Comparative Transcriptomes and EVO-DEVO Studies Depending on Next Generation Sequencing.
abstract: High throughput technology has prompted the progressive omics studies, including genomics and transcriptomics. We have reviewed the improvement of comparative omic studies, which are attributed to the high throughput measurement of next generation sequencing technology. Comparative genomics have been successfully applied to evolution analysis while comparative transcriptomics are adopted in comparison of expression profile from two subjects by differential expression or differential coexpression, which enables their application in evolutionary developmental biology (EVO-DEVO) studies. EVO-DEVO studies focus on the evolutionary pressure affecting the morphogenesis of development and previous works have been conducted to illustrate the most conserved stages during embryonic development. Old measurements of these studies are based on the morphological similarity from macro view and new technology enables the micro detection of similarity in molecular mechanism. Evolutionary model of embryo development, which includes the "funnel-like" model and the "hourglass" model, has been evaluated by combination of these new comparative transcriptomic methods with prior comparative genomic information. Although the technology has promoted the EVO-DEVO studies into a new era, technological and material limitation still exist and further investigations require more subtle study design and procedure.
authors.affiliation: Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China.
authors.forename: Tiancheng
authors.initials: T
authors.lastname: Liu
authors.affiliation: Key Laboratory of Contraceptive Drugs and Devices of National Population and Family Planning Commission of China, Shanghai Institute of Planned Parenthood Research, 2140 Xietu Road, Shanghai 200032, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Yu
authors.affiliation: Shanghai Center for Bioinformation Technology, 1278 Keyuan Road, Shanghai 201203, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Liu
authors.affiliation: Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China.
authors.forename: Hong
authors.initials: H
authors.lastname: Li
authors.affiliation: Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China ; Shanghai Center for Bioinformation Technology, 1278 Keyuan Road, Shanghai 201203, China.
authors.forename: Yixue
authors.initials: Y
authors.lastname: Li
mesh_terms: D000818:Animals; D044822:Biodiversity; D005075:Biological Evolution; D019295:Computational Biology; D015509:Developmental Biology; D047108:Embryonic Development / Q000235:genetics; D020869:Gene Expression Profiling; D023281:Genomics; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D008954:Models, Biological; D059467:Transcriptome