Genetic bases of resistance to the rice hoja blanca disease deciphered by a QTL approach
biorxiv(2023)
Abstract
Rice hoja blanca (RHB) is one of the most serious diseases in rice growing areas in tropical Americas. Its causal agent is Rice hoja blanca virus (RHBV), transmitted by the planthopper Tagosodes orizicolus Müir. Genetic resistance is the most effective and environment-friendly way of controlling the disease. So far, only one major quantitative trait locus (QTL) of Oryza sativa ssp. japonica origin, qHBV4.1 , that alters incidence of the virus symptoms in two Colombian cultivars has been reported. This resistance has already started to be broken, stressing the urgent need for diversifying the resistance sources. In the present study we performed a search for new QTLs of O. sativa indica origin associated with RHB resistance. We used four F2:3 segregating populations derived from indica resistant varieties crossed with a highly susceptible japonica pivot parent. Beside the standard method for measuring disease incidence, we developed a new method based on computer-assisted image processing to determine the affected leaf area (ALA) as a measure of symptom severity. Based on the disease severity and incidence scores in the F3 families under greenhouse conditions, and SNP genotyping of the F2 individuals, we identified four new indica QTLs for RHB resistance on rice chromosomes 4, 6 and 11, namely qHBV4.2WAS208 , qHBV6.1PTB25 , qHBV11.1 and qHBV11.2 . We also confirmed the wide-range action of qHBV4.1 . Among the five QTLs, qHBV4.1 and qHBV11.1 had the largest effects on incidence and severity, respectively. These results provide a more complete understanding of the genetic bases of RHBV resistance in the cultivated rice gene pool, and can be used to develop marker-aided breeding strategies to improve RHB resistance. The power of joint-and meta-analyses allowed precise mapping and candidate gene identification, providing the basis for positional cloning of the two major QTLs qHBV4.1 and qHBV11.1 .
### Competing Interest Statement
The authors have declared no competing interest.
* ### List of abbreviations
ALA
: affected leaf area
Badka
: Badkalamkati variety, accession number IRGC 45011
BBT 50
: Bluebonnet 50 variety
CIAT
: Centro Internacional de Agricultura Tropical (now Alliance Bioversity-CIAT)
CIM
: composite interval mapping
cM
: centimorgan
CTV
: Citrus tristeza virus
DAI
: days after infestation
DNA
: deoxyribonucleic acid
EDTA
: ethylenediaminetetraacetic acid
EHBV
: Echinochloa hoja blanca virus
FD 50
: Fedearroz 50 variety, accession number IRGC 1799-1-1
FD 2000
: Fedearroz 2000 variety, accession number IRGC 124388
FLAR
: Fondo Latinoamericano para Arroz de Riego
fsGBS
: flexible and scalable genotyping by sequencing
IFC
: integrated fluidic circuit
LOD
: logarithm in base 10 of likelihoods odds
MATAB
: mixed alkyltri-methylammonium bromide
MEG
: maternally expressed gene
MLGM
: generalized linear mixed model
NBS-LRR
: nucleotide binding site-leucine-rich repeat
PCR
: polymerase chain reaction
PTGS
: post-transcriptional gene silencing
PTB 25
: PTB 25 variety, accession number IRGC 6386
PVY
: Potato virus Y
QTL
: quantitative trait locus
RHB
: rice hoja blanca disease
RHBV
: Rice hoja blanca virus
RNA
: ribonucleic acid
RSV
: Rice stripe virus
SD
: segregation distortion
SIM
: simple interval mapping
SMR
: single-marker regression
SNP
: single nucleotide polymorphism
TBSV
: Tomato bush dwarf virus
TGS
: transcriptional gene silencing
UHBV
: Urochloa hoja blanca virus
WAS 208
: WAS 208-B-B-5-1-1-3 variety, accession number IRGC 121855
WGS
: whole-genome sequencing
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