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Transcriptome-wide analysis of expressed resistance gene analogs (RGAs) in mango

View ORCID ProfileDarlon V. Lantican, View ORCID ProfileCris Q. Cortaga, Anand Noel C. Manohar, Fe M. dela Cueva, Maria Luz J. Sison
doi: https://doi.org/10.1101/2020.02.08.939736
Darlon V. Lantican
1Genetics Laboratory, University of the Philippines Los Baños, College, Laguna, Philippines 4031
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  • For correspondence: dvlantican@up.edu.ph
Cris Q. Cortaga
2Entomology Laboratory, University of the Philippines Los Baños, College, Laguna, Philippines 4031
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Anand Noel C. Manohar
1Genetics Laboratory, University of the Philippines Los Baños, College, Laguna, Philippines 4031
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Fe M. dela Cueva
3Plant Pathology Laboratory, Institute of Plant Breeding, College of Agriculture and Food Science, University of the Philippines Los Baños, College, Laguna, Philippines 4031
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Maria Luz J. Sison
2Entomology Laboratory, University of the Philippines Los Baños, College, Laguna, Philippines 4031
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Abstract

Mango is an economically important fruit crop largely cultivated in the (sub)tropics and thus, is constantly challenged by a myriad of insect pests and diseases. Here, we identified and characterized the resistance gene analogs (RGAs) of mango from de novo assembly of transcriptomic sequences. A core RGA database of mango with 747 protein models was established and classified based on conserved domains and motifs: 53 nucleotide binding site proteins (NBS); 27 nucleotide binding site-leucine rich repeat proteins (NBS-LRR); 17 coiled-coil NBS-LRR (CNL); 2 toll/interleukin-1 receptor NBS-LRR (TNL); 29 coiled-coil NBS (CN); 4 toll/interleukin-1 receptor NBS (TN); 17 toll/interleukin-1 receptor with unknown domain (TX); 158 receptor-like proteins (RLP); 362 receptor-like kinases (RLK); 72 transmembrane coiled-coil domain protein (TM-CC), and 6 NBS-encoding proteins with other domains. The various molecular functions, biological processes, and cellular localizations of these RGAs were functionally well-annotated through gene ontology (GO) analysis, and their expression profiles across different mango varieties were also determined. Phylogenetic analysis broadly clustered the core RGAs into 6 major clades based on their domain classification, while TM-CC proteins formed subclades all across the tree. The phylogenetic results suggest highly divergent functions of the RGAs which also provide insights into the mango-pest co-evolutionary arms race. From the mango RGA transcripts, 134 unique EST-SSR loci were identified, and primers were designed targeting these potential markers. To date, this is the most comprehensive analysis of mango RGAs which offer a trove of markers for utilization in resistance breeding of mango.

Footnotes

  • Abstract was revised. Also, the funding agencies are now specified in the manuscript text.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 12, 2020.
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Transcriptome-wide analysis of expressed resistance gene analogs (RGAs) in mango
Darlon V. Lantican, Cris Q. Cortaga, Anand Noel C. Manohar, Fe M. dela Cueva, Maria Luz J. Sison
bioRxiv 2020.02.08.939736; doi: https://doi.org/10.1101/2020.02.08.939736
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Transcriptome-wide analysis of expressed resistance gene analogs (RGAs) in mango
Darlon V. Lantican, Cris Q. Cortaga, Anand Noel C. Manohar, Fe M. dela Cueva, Maria Luz J. Sison
bioRxiv 2020.02.08.939736; doi: https://doi.org/10.1101/2020.02.08.939736

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