Transcriptomics and co-expression networks reveal tissue-specific responses and regulatory hubs under mild and severe drought in papaya (Carica papaya L.).
Transcriptomics and co-expression networks reveal tissue-specific responses and regulatory hubs under mild and severe drought in papaya (Carica papaya L.).
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转录组学和共表达网络揭示了木瓜中轻度和严重干旱的组织特异性响应和调节中心(Carica Papaya L.)。
DOI:
10.1038/s41598-018-32904-2
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发表时间:
2018-09-28
影响因子:
4.6
通讯作者:
Rodríguez-Zapata LC
中科院分区:
文献类型:
--
作者:
Gamboa-Tuz SD;Pereira-Santana A;Zamora-Briseño JA;Castano E;Espadas-Gil F;Ayala-Sumuano JT;Keb-Llanes MÁ;Sanchez-Teyer F;Rodríguez-Zapata LC
Plants respond to drought stress through the ABA dependent and independent pathways, which in turn modulate transcriptional regulatory hubs. Here, we employed Illumina RNA-Seq to analyze a total of 18 cDNA libraries from leaves, sap, and roots of papaya plants under drought stress. Reference and de novo transcriptomic analyses identified 8,549 and 6,089 drought-responsive genes and unigenes, respectively. Core sets of 6 and 34 genes were simultaneously up- or down-regulated, respectively, in all stressed samples. Moreover, GO enrichment analysis revealed that under moderate drought stress, processes related to cell cycle and DNA repair were up-regulated in leaves and sap; while responses to abiotic stress, hormone signaling, sucrose metabolism, and suberin biosynthesis were up-regulated in roots. Under severe drought stress, biological processes related to abiotic stress, hormone signaling, and oxidation-reduction were up-regulated in all tissues. Moreover, similar biological processes were commonly down-regulated in all stressed samples. Furthermore, co-expression network analysis revealed three and eight transcriptionally regulated modules in leaves and roots, respectively. Seventeen stress-related TFs were identified, potentially serving as main regulatory hubs in leaves and roots. Our findings provide insight into the molecular responses of papaya plant to drought, which could contribute to the improvement of this important tropical crop.
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影响因子:
5.8
作者:
Gu, Zuguang;Eils, Roland;Schlesner, Matthias
通讯作者:
Schlesner, Matthias
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
6.9
作者:
Kehr, Julia;Buhtz, Anja
通讯作者:
Buhtz, Anja
影响因子:
3.7
作者:
Allen JD;Xie Y;Chen M;Girard L;Xiao G
通讯作者:
Xiao G
DOI:
10.1093/bioinformatics/btp101
发表时间:
2009-04-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Bindea G;Mlecnik B;Hackl H;Charoentong P;Tosolini M;Kirilovsky A;Fridman WH;Pagès F;Trajanoski Z;Galon J
通讯作者:
Galon J