รหัสดีโอไอ 10.14455/TSB.res.2019.21
Title Dissecting the Transcriptional Regulatory Network to Reveal Beneficial Network Topology for Cassava Brown Streak Virus Resistance
Creator Saowalak Kalapanuluk
Contributor 1. Thanakorn Jaemthaworn
2. Treenut Saithong
Publisher The Thai Society for Biotechnology
Publication Year 2019
Keyword Cassava ,Cassava Brown Streak Virus ,Transcriptional Regulatory Network ,Topological Analysis
Abstract Cassava Brown Streak Virus (CBSV) represents a major threat to cassava production, especially in endemic areas, and can lead to substantial storage root yield and quality losses. The developed resistant cultivars have often performed inconsistently, especially in differently environments largely due to limited knowledge of the underlying resistance mechanisms, and the roles of gene cooperation and gene-environment interaction. This study aimed to propose a robust structural transcriptional regulatory network (TRN) of CBSV resistance in cassava. We performed a topological analysis of reconstructed conditional TRNs, namely TRN of CBSV resistance in control (TRN-RC) and treatment (TRN-RT) conditions and that of susceptibility in control (TRN-SC) and in treatment (TRN-ST) conditions. The reconstruction was performed via integrative systems biology approach, combining timeseries gene expression datasets of resistant and susceptible cultivars in na?ve and infection conditions with the TRN retrieved from PlantRegMap. The results demonstrated that the global network properties, network dimension, were not different among traits, but the local clustering coefficient of TRNRC was significantly higher than that of TRN-SC (p-value =1.84?10-9). The higher local clustering coefficient found in TRN-RC could be related to its robustness with respect to the regulation of CBSV resistance in cassava. Moreover, the reconstructed TRNs of CBSV resistance in control and treatment conditions contained more clustering coefficient in heat shock proteins (HSPs) regulatory system, which are important for plant protection against viral infections, than those for susceptible traits in similar conditions. Our findings would contribute to precision CBSV resistance-breeding in cassava, through the use of bioinformatics screening tools for cultivar improvement. Moreover, the knowledge gained could be applied for other cassava viral diseases such as the cassava mosaic disease (CMD), which is currently affecting cassava production in Thailand.
Language EN
URL Website http://tsb2019.com/
Website title The 31st Annual Meeting of the Thai Society for Biotechnology and International Conference (TSB 2019)
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บรรณานุกรม

Saowalak Kalapanuluk และผู้แต่งคนอื่นๆ. (2019) Dissecting the Transcriptional Regulatory Network to Reveal Beneficial Network Topology for Cassava Brown Streak Virus Resistance. The Thai Society for Biotechnology:ม.ป.ท.
Saowalak Kalapanuluk และผู้แต่งคนอื่นๆ. 2019. Dissecting the Transcriptional Regulatory Network to Reveal Beneficial Network Topology for Cassava Brown Streak Virus Resistance. ม.ป.ท.:The Thai Society for Biotechnology;
Saowalak Kalapanuluk และผู้แต่งคนอื่นๆ. Dissecting the Transcriptional Regulatory Network to Reveal Beneficial Network Topology for Cassava Brown Streak Virus Resistance. ม.ป.ท.:The Thai Society for Biotechnology, 2019. Print.