Genetic　oscillator　networks　(GONs)　are　inherently　coupled　complex　systems　where　the　nodes　indicate　the　biochemicals　and　the　couplings　represent　the　biochemical　interactions.　This　paper　is　concerned　with　the　synchronization　problem　of　a　general　class　of　stochastic　GONs　with　time　delays　and　Markovian　jumping　parameters,　where　the　GONs　are　subject　to　both　the　stochastic　disturbances　and　the　Markovian　parameter　switching.　The　regulatory　functions　of　the　addressed　GONs　are　described　by　the　sector-like　nonlinear　functions.　By　applying　up-to-date　＇delay-fractioning＇　approach　for　achieving　delay-dependent　conditions,　we　construct　novel　matrix　functional　to　derive　the　synchronization　criteria　for　the　GONs　that　are　formulated　in　terms　of　linear　matrix　inequalities　(LMIs).　Note　that　LMIs　are　easily　solvable　by　the　Matlab　toolbox.　A　simulation　example　is　used　to　demonstrate　the　synchronization　phenomena　within　biological　organisms　of　a　given　GON　and　therefore　shows　the　applicability　of　the　obtained　results.　©　2010　Elsevier　B.V.