Ontology highlight
ABSTRACT:
PROVIDER: PRJEB71753 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| snps_filtered_cg_samples.vcf.csi | Other | |||
| snps_filtered_cg_samples.vcf.gz | Vcf | |||
| snps_filtered_cf_samples.vcf.csi | Other | |||
| snps_filtered_cf_samples.vcf.gz | Vcf |
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Project description:Cacao (Theobroma cacao) is a highly valuable crop with growing demands in the global market. However, cacao farmers often face challenges posed by black pod disease caused by Phytophthora spp. with P. palmivora as the most dominant. Regulations of various gene expression influence plant resistance to pathogens. One mechanism involves targeting mRNA of virulence genes in the invading pathogens, suppressing their infection. However, resistance also could be suppressed by plant-derived miRNAs that target their own defense genes. The objective of this study is to identify differentially expressed miRNAs in black pod resistant and susceptible Cacao varieties and to predict their targets in T. cacao and P. palmivora transcripts. In our research, 54 known miRNAs from 40 miRNA families and 67 Novel miRNAs were identified. As much as 17 miRNAs were differentially expressed in susceptible variety compared to resistant one, with 9 miRNAs were upregulated and 8 miRNAs downregulated. In T. cacao transcripts, the upregulated miRNAs were predicted to target several genes, including defense genes. The suppression of these defense genes can lead to a reduction in plant resistance against pathogen infection. While in P. palmivora transcripts, the upregulated miRNAs were predicted to target several genes, including P. palmivora effector genes and other important metabolism activities genes. In the future, limiting expression of miRNAs that target T. cacao's defense genes and applying miRNAs that target P. palmivora effector genes hold promise for enhancing cacao plant resistance against P. palmivora infection.
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Project description:Eucalyptus urophylla is a commercially important wood crop plantation species due to its rapid growth, biomass yield, and use as bioenergy feedstock. We characterized the genetic diversity and population structure of 332 E. urophylla individuals from 19 geographically defined E. urophylla populations with a reliability of 14,468 single nucleotide polymorphisms (SNPs). We compared the patterns of genetic variation among these 19 populations. High levels of genetic diversity were observed throughout the 19 E. urophylla populations based on genome-wide SNP data (HE=0.2677 to 0.3487). Analysis with STRUCTURE software, Principal component analysis (PCA) and a neighbor-joining (NJ) tree indicated that E. urophylla populations could be divided into three groups, and moderate and weak population structure was observed with pairwise genetic differentiation (FST) values ranging from −0.09 to 0.074. The low genetic diversity and shallow genetic differentiation found within the 19 populations may be a consequence of their pollination system and seed dispersal mechanism. In addition, 55 core germplasms of E. urophylla were constructed according to the genetic marker data. The genome-wide SNPs we identified will provide a valuable resource for further genetic improvement and effective use of the germplasm resources.
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