ArticleFrontiers in microbiology2016
Transcription Profiling Analysis of Mango-Fusarium mangiferae Interaction.
Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 30 citations in OpenAlex.
- Genome-Wide Analysis and Expression ofPlants (Basel, Switzerland) · 2023Article
- Transcriptomics Analysis of Wheat Tassel Response toFrontiers in plant science · 2022Article
- Transcriptional differentiation driving Cucumis sativus-Botrytis cinerea interactions based on the Skellam model and Bayesian networks.AMB Express · 2021Article
- Transcriptome analysis of wheat spikes in response to Tilletia controversa Kühn which cause wheat dwarf bunt.Scientific reports · 2020Article
- Cyanide produced with ethylene by ACS and its incomplete detoxification by β-CAS in mango inflorescence leads to malformation.Scientific reports · 2019Article
- Comparative transcriptomic and metabolic analysis reveals the effect of melatonin on delaying anthracnose incidence upon postharvest banana fruit peel.BMC plant biology · 2019Article
- Production and Role of Hormones During Interaction ofFrontiers in plant science · 2018Article
- An integrated analysis of mRNA and sRNA transcriptional profiles in tomato root: Insights on tomato wilt disease.PloS one · 2018Article
- Transcriptomic Analysis on Responses of Murine Lungs toFrontiers in cellular and infection microbiology · 2017Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malformation caused by Fusarium mangiferae is one of the most destructive mango diseases affecting the canopy and floral development, leading to dramatic reduction in fruit yield. To further understand the mechanism of interaction between mango and F. mangiferae, we monitored the transcriptome profiles of buds from susceptible mango plants, which were challenged with F. mangiferae. More than 99 million reads were deduced by RNA-sequencing and were assembled into 121,267 unigenes. Based on the sequence similarity searches, 61,706 unigenes were identified, of which 21,273 and 50,410 were assigned to gene ontology categories and clusters of orthologous groups, respectively, and 33,243 were mapped to 119 KEGG pathways. The differentially expressed genes of mango were detected, having 15,830, 26,061, and 20,146 DEGs respectively, after infection for 45, 75, and 120 days. The analysis of the comparative transcriptome suggests that basic defense mechanisms play important roles in disease resistance. The data also show the transcriptional responses of interactions between mango and the pathogen and more drastic changes in the host transcriptome in response to the pathogen. These results could be used to develop new methods to broaden the resistance of mango to malformation, including the over-expression of key mango genes.
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