Li Hou
Xianhui Wang
Le Kang
1 Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China;
2 State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
Funds: and the National Natural Science Foundation of China (Grant Nos. 31771452, 31401121, and 31772531).
We thank Drs. Yong Wang (Academy of Mathematics and Systems Science, Chinese Academy of Sciences) and Zhixiang Lin for discussing AC-PCA analysis. We are grateful for valuable discussion of the early version of this manuscript with Drs. Fangqing Zhao and Zhongsheng Sun (Beijing Institutes of Life Science, Chinese Academy of Sciences). This study was supported by the Research Network of Computational Biology and the Supercomputing Center at Beijing Institutes of Life Science, Chinese Academy of Sciences. This work was supported by the Strategic Priority Research Program of CAS (XDB11010200 and 11010100)
Received Date: 2019-03-31
Abstract
Abstract
Phenotypic plasticity plays fundamental roles in successful adaptation of animals in response to environmental variations. Here, to reveal the transcriptome reprogramming in locust phase change, a typical phenotypic plasticity, we conducted a comprehensive analysis of multiple phase-related transcriptomic datasets of the migratory locust. We defined PhaseCore genes according to their contribution to phase differentiation by the adjustment for confounding principal components analysis algorithm (AC-PCA). Compared with other genes, PhaseCore genes predicted phase status with over 87.5% accuracy and displayed more unique gene attributes including the faster evolution rate, higher CpG content and higher specific expression level. Then, we identified 20 transcription factors (TFs) named PhaseCoreTF genes that are associated with the regulation of PhaseCore genes. Finally, we experimentally verified the regulatory roles of three representative TFs (Hr4, Hr46, and grh) in phase change by RNAi. Our findings revealed that core transcriptional signatures are involved in the global regulation of locust phase changes, suggesting a potential common mechanism underlying phenotypic plasticity in insects. The expression and network data are accessible in an online resource called LocustMine (http://www.locustmine.org:8080/locustmine).Keywords: phenotypic plasticity,
transcriptional regulatory network,
RNA interference
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