Functional annotation of a candidate Ascochyta blight resistance region in chickpea.

Description

Ascochyta blight is one of the most devastating diseases in chickpea, causing huge yield losses if the conditions are optimal for the development of the fungal pathogen. Two recombinant inbred line (RIL) populations segregating for Ascochyta blight resistance were developed. RIP8 came from the cross between ILC3279 (resistant) x WR315 (susceptible), while RIP10 was derived from the cross JG62 (susceptible) x ILC72 (resistant). Both populations were sequenced and aligned to the reference genome in NCBI (ASM33114v1) for the obtention of single nucleotide polymorphisms (SNPs). A direct marker-trait association revealed a region in chromosome 4 (3.52-8.20 Mb) which was associated with Ascochyta blight resistance in both populations. The dataset presented shows the functional annotation of all the genes located within this region in all the GO categories (Biological Process, Cellular Component, Molecular Function). The annotation of the region revealed 30 candidate genes for resistance which have to be further studied , and furthermore, one candidate gene with a SNP within its sequence. The dataset has five columns: Column number 1 provides the sequence ID in NCBI; Column 2 specifies the number of GO terms that were assigned to the sequence; Column 3 shows the GO ID assigned to the sequence; Column 4 gives further information about the function of the gene; and Column 5 groups the assigned GO terms in the three GO categories listed above. These data can be used if a gene within this region is associated with another agronomic trait of interest, or to further analyse the function of the annotated genes

Steps to reproduce

The marker-trait association revealed a region associated with Ascochyta blight resistance. The region was downloaded from Genome Data Viewer in NCBI. A functional annotation of the region was performed using Blast2GO software with default parameters. An additional InterProScan analysis was performed in the software Blast2GO to obtain more detail about the function of the genes within the candidate region.

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