Genetic diversity of Asian rice gall midge based on mtCOI gene sequences and identification of a novel resistance locus gm12 in rice cultivar MN62M

Leelagud, Phikul; Kongsila, Sakda; Vejchasarn, Phanchita; Darwell, Kulchana; Phansenee, Yotwarit; Suthanthangjai, Arissara; Uparang, Chanita; Kawichai, Rungnapa; Yajai, P.; Boonsa-nga, Kunlayaa; Chamarerk, Varapong; Jairin, Jirapong

doi:10.1007/s11033-020-05546-9

Cited by 9 publications

(6 citation statements)

References 28 publications

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“…However, rice borer resistance evaluation remains stagnant and no definite resistance line/variety has been identified to date. Fortunately, rice resistance to RGM has achieved some progress recently, and the resistance evaluation method should be taken into account [ 9 , 13 , 17 , 18 ]. In the present study, 60 lines/varieties, including one or two control lines, infested with 36 female RGM could be treated in one tray as described by method 4–3 (Fig.…”

Section: Discussionmentioning

confidence: 99%

Improved phenotyping procedure for evaluating resistance in rice against gall midge (Orseolia oryzae, Wood-Mason)

et al. 2021

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Background The rice gall midge (RGM, Orseolia oryzae, Wood-Mason), an important stem-feeding pest worldwide, has caused serious production losses over the past decades. Rice production practices indicate that the most reliable method for managing RGM is the deployment of cultivars that incorporate host resistance. However, the conventional phenotypic screening method of rice resistance to RGM suggested by the International Rice Research Institute (IRRI) has been used for approximately 30 years, and only 12 rice varieties/lines (including controls) can be evaluated in one tray. It is not suitable for high-throughput phenotyping of rice germplasm. Moreover, a suitable method to prepare samples for molecular biological studies of rice resistance against RGM is imperative with the rapid development of modern molecular techniques. Results The proper density of seedlings/RGM was determined for four seeding arrangements. A high-throughput phenotyping method (HTPM) for 60 lines/varieties infested with 36 female RGM adults in one tray, as described by method 4–3 (seeded 60 lines/varieties), was developed and verified using mutant screening. Furthermore, one RGM resistance gene flanked by markers 12RM28346 and 12RM28739 on chromosome 12 was simultaneously detected using method 2–2 (seeded 30 lines/varieties in one tray) treated with 24 RGM and analyzed using conventional and simplified grading systems. Genetic analysis of the RGM resistance gene was confirmed using a method identical to that suggested by IRRI. Finally, one bucket with 24 seedlings treated with at least five female RGM adults was efficacious and could offer adequate samples for insect development observation or molecular biological studies. Conclusion A highly efficient and reliable procedure for evaluation of resistance in rice to RGM was developed and improved, and was verified through mutant screening, gene mapping, genetic analysis, and insect growth and development observations.

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Section: Discussionmentioning

confidence: 99%

Improved phenotyping procedure for evaluating resistance in rice against gall midge (Orseolia oryzae, Wood-Mason)

et al. 2021

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“…japonica cv. ‘Nipponbare’ × African wild rice O. longistaminata accession W1413 SSR Greenhouse 2L, 4S, 5S and 11L Green rice leafhopper (GRH) Thein et al ( 2019 ) Rice qGRH5 F 2 ASD7 × Taichung 65 SSR ( RM6082 and RM3318 ) NM 4S GRH Van Mai et al ( 2015 ) Rice gm12 F 2:3 KDML105 × MN62M SNP markers ( S2_76222 and S2_419160 ) Greenhouse 2S Asian rice gall midge Leelagud et al ( 2020 ) Rice gm3 RILs TN1 × RP2068-18-3-5 SSR (RM17480 and gm3SSR4 ) Greenhouse 4L Gall midge Sama et al ( 2014 ) Rice Gm8 RILs TN1 × Aganni SSR ( RM22685 and RM22709 ) Greenhouse 8 Gall midge Sama et al ( 2012 ) Rice Gm11t RILs TN1 × CR57-MR1523 SSR ( RM28574 and RM28706 ) Greenhouse 12 Gall midge Himabindu et al ( ...…”

Section: Insect Resistance Qtls Identified In Major Field Cropsmentioning

confidence: 99%

“…Based on the sequence polymorphism, ‘ gm3del3 ’ was cloned and efficiently utilized as a functional marker for introgressing gm3 gene in the elite bacterial blight resistant cultivar Improved Samba Mahsuri (B95-1), via marker-assisted selection (MAS) approach. Leelagud et al ( 2020 ) mapped gm12 on chromosome 2 in the F 2:3 population derived from the cross of KDML105 and MN62M, wherein SNP markers (S2_76222 and S2_419160) were found to flank gm12 . This gene can be extensively used for the identification of RGM biotypes in Thailand and Southeast Asia.…”

Section: Insect Resistance Qtls Identified In Major Field Cropsmentioning

confidence: 99%

Molecular mechanisms, genetic mapping, and genome editing for insect pest resistance in field crops

et al. 2022

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Key message Improving crop resistance against insect pests is crucial for ensuring future food security. Integrating genomics with modern breeding methods holds enormous potential in dissecting the genetic architecture of this complex trait and accelerating crop improvement. Abstract Insect resistance in crops has been a major research objective in several crop improvement programs. However, the use of conventional breeding methods to develop high-yielding cultivars with sustainable and durable insect pest resistance has been largely unsuccessful. The use of molecular markers for identification and deployment of insect resistance quantitative trait loci (QTLs) can fastrack traditional breeding methods. Till date, several QTLs for insect pest resistance have been identified in field-grown crops, and a few of them have been cloned by positional cloning approaches. Genome editing technologies, such as CRISPR/Cas9, are paving the way to tailor insect pest resistance loci for designing crops for the future. Here, we provide an overview of diverse defense mechanisms exerted by plants in response to insect pest attack, and review recent advances in genomics research and genetic improvements for insect pest resistance in major field crops. Finally, we discuss the scope for genomic breeding strategies to develop more durable insect pest resistant crops.

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“…Various allelism tests have been conducted with the help of flanking simple sequence repeat (SSR) markers to find out the best combination of novel resistance genes against rice GM (Himabindu et al, 2007). Among all the 12 resistant genes reported so far, 10 genes, namely Gm1, Gm2, Gm3, Gm4, Gm5, Gm6, Gm7, Gm8, Gm11 and Gm12 were tagged and mapped successfully till now in various rice genetic resources (Bentur et al, 2016; Leelagud et al, 2020). The markers tagged with these resistance genes have scope for screening new rice genetic resources and finding combinations of resistance genes in the same genetic background, resulting in a high level of resistance expression.…”

Section: Introductionmentioning

confidence: 99%

Marker‐trait association analysis for gall midge (Orseolia oryzae) resistance in a diverse rice population

Nandini

Gowda

Kishore

et al. 2023

Annals of Applied Biology

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Damage caused by insect herbivores, notably Asian rice gall midge, Orseolia oryzae is more prevalent in the rice-growing belts of India's southern and north-eastern states.As a prelude to resistant cultivar development, the identification of genomic regions for resistance in the source population is crucial. In the present investigation, 202 rice genotypes were phenotyped and assayed with genomic markers reported for gall midge resistance. Positive skewness and platykurtic distribution of response scores suggested the inheritance of gall midge resistance in the study population. The marker gm3del3 contributed the most genetic variation, followed by RM28574 and marker RM22709 explained minimal variation. A marker-trait association analysis with a single marker-trait linear regression approach was performed to discover gall midge resistant genomic region/genes. The marker RM17480 on chromosome 4 reported to be linked with gm3 gene was found significantly associated with the gall midge resistance genomic region with allelic effects in a negative direction favouring resistance reaction. The allelic effects of significantly associated markers were correlated significantly with the phenotypic variation of gall midge damage scores. Genes identified in the vicinity of this marker contribute to stress response reactions in rice plants. The 200 bp allele of the marker was associated with susceptibility, while the 250 bp allele was associated with resistance expression. This allelic association with trait variation suggests the importance of associated marker for utilisation in marker-assisted selection programmes to incorporate resistance alleles into elite rice genotypes.

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Genetic diversity of Asian rice gall midge based on mtCOI gene sequences and identification of a novel resistance locus gm12 in rice cultivar MN62M

Cited by 9 publications

References 28 publications

Improved phenotyping procedure for evaluating resistance in rice against gall midge (Orseolia oryzae, Wood-Mason)

Improved phenotyping procedure for evaluating resistance in rice against gall midge (Orseolia oryzae, Wood-Mason)

Molecular mechanisms, genetic mapping, and genome editing for insect pest resistance in field crops

Marker‐trait association analysis for gall midge (Orseolia oryzae) resistance in a diverse rice population

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