Detection of Quantitative Trait Loci and Inheritance of Root-knot Nematode Resistance in Sweetpotato

Cervantes-Flores, J.C.; Yencho, G. Craig; Pecota, Kenneth V.; Sosinski, Bryon; Mwanga, R.O.M.

doi:10.21273/jashs.133.6.844

Cited by 40 publications

(40 citation statements)

References 36 publications

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“…However, only a few QTLs involved in RKN resistance have been identified in a few diverse crops, e.g. sweet potato, cotton, soybean and peanut, and none in the Solanaceae. Very recently, quantitative resistance to RKNs was detected in some pepper accessions .…”

Section: Plant Genetic Background Qtls and The Expression Of R Genesmentioning

confidence: 99%

Host genetic resistance to root-knot nematodes,Meloidogynespp., in Solanaceae: from genes to the field

et al. 2015

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Root-knot nematodes (RKNs) heavily damage most solanaceous crops worldwide. Fortunately, major resistance genes are available in a number of plant species, and their use provides a safe and economically relevant strategy for RKN control. From a structural point of view, these genes often harbour NBS-LRR motifs (i.e. a nucleotide binding site and a leucine rich repeat region near the carboxy terminus) and are organised in syntenic clusters in solanaceous genomes. Their introgression from wild to cultivated plants remains a challenge for breeders, although facilitated by marker-assisted selection. As shown with other pathosystems, the genetic background into which the resistance genes are introgressed is of prime importance to both the expression of the resistance and its durability, as exemplified by the recent discovery of quantitative trait loci conferring quantitative resistance to RKNs in pepper. The deployment of resistance genes at a large scale may result in the emergence and spread of virulent nematode populations able to overcome them, as already reported in tomato and pepper. Therefore, careful management of the resistance genes available in solanaceous crops is crucial to avoid significant reduction in the duration of RKN genetic control in the field. From that perspective, only rational management combining breeding and cultivation practices will allow the design and implementation of innovative, sustainable crop production systems that protect the resistance genes and maintain their durability.

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Section: Plant Genetic Background Qtls and The Expression Of R Genesmentioning

confidence: 99%

Host genetic resistance to root-knot nematodes,Meloidogynespp., in Solanaceae: from genes to the field

et al. 2015

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“…Beauregard is a US‐bred variety with low dry matter and orange flesh due to high levels of carotenoids (Rolston et al., ), while Tanzania is a popular Ugandan landrace with high dry matter and cream flesh (Mwanga et al., ). Though a Tanzania × Beauregard population (Cervantes‐Flores, Yencho, Kriegner, et al., ) has been used to map quantitative trait loci (QTL) for root‐knot nematode resistance, dry matter, starch, and β‐carotene content (Cervantes‐Flores, Yencho, Pecota, Sosinski, & Mwanga, ; Cervantes‐Flores et al., ), drought tolerance traits have not yet been investigated in this population. However, we have an ongoing project to map QTL for drought‐related traits using a population derived from the reciprocal cross, Beauregard × Tanzania.…”

Section: Introductionmentioning

confidence: 99%

Transcriptomic analysis of sweet potato under dehydration stress identifies candidate genes for drought tolerance

et al. 2018

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Sweet potato (Ipomoea batatas [L.] Lam.) is an important subsistence crop in Sub‐Saharan Africa, yet as for many crops, yield can be severely impacted by drought stress. Understanding the genetic mechanisms that control drought tolerance can facilitate the development of drought‐tolerant sweet potato cultivars. Here, we report an expression profiling study using the US‐bred cultivar, Beauregard, and a Ugandan landrace, Tanzania, treated with polyethylene glycol (PEG) to simulate drought and sampled at 24 and 48 hr after stress. At each time‐point, between 4,000 to 6,000 genes in leaf tissue were differentially expressed in each cultivar. Approximately half of these differentially expressed genes were common between the two cultivars and were enriched for Gene Ontology terms associated with drought response. Three hundred orthologs of drought tolerance genes reported in model species were identified in the Ipomoea trifida reference genome, of which 122 were differentially expressed under at least one experimental condition, constituting a list of drought tolerance candidate genes. A subset of genes was differentially regulated between Beauregard and Tanzania, representing genotype‐specific responses to drought stress. The data analyzed and reported here provide a resource for geneticists and breeders toward identifying and utilizing drought tolerance genes in sweet potato.

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“…2014; Kim et al . 2017) and resistance to biotic stresses (Cervantes-Flores et al . 2008b; Yada et al .…”

Section: Discussionmentioning

confidence: 99%

Multiple QTL mapping in autopolyploids: a random-effect model approach with application in a hexaploid sweetpotato full-sib population

Pereira

Gemenet

Mollinari

et al. 2019

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ABSTRACTIn developing countries, the sweetpotato,Ipomoea batatas(L.) Lam. (2n= 6x= 90), is an important autopolyploid species, both socially and economically. However, quantitative trait loci (QTL) mapping has remained limited due to its genetic complexity. Current fixed-effect models can only fit a single QTL and are generally hard to interpret. Here we report the use of a random-effect model approach to map multiple QTL based on score statistics in a sweetpotato bi-parental population (‘Beauregard’×‘Tanzania’) with 315 full-sibs. Phenotypic data were collected for eight yield component traits in six environments in Peru, and jointly predicted means were obtained using mixed-effect models. An integrated linkage map consisting of 30,684 markers distributed along 15 linkage groups (LGs) was used to obtain the genotype conditional probabilities of putative QTL at every cM position. Multiple interval mapping was performed using our R package QTLPOLY and detected a total of 41 QTL, ranging from one to ten QTL per trait. Some regions, such as those on LGs 3 and 15, were consistently detected among root number and yield traits and provided basis for candidate gene search. In addition, some QTL were found to affect commercial and noncommercial root traits distinctly. Further best linear unbiased predictions allowed us to characterize additive allele effects as well as to compute QTL-based breeding values for selection. Together with quantitative genotyping and its appropriate usage in linkage analyses, this QTL mapping methodology will facilitate the use of genomic tools in sweetpotato breeding as well as in other autopolyploids.

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Detection of Quantitative Trait Loci and Inheritance of Root-knot Nematode Resistance in Sweetpotato

Cited by 40 publications

References 36 publications

Host genetic resistance to root-knot nematodes,Meloidogynespp., in Solanaceae: from genes to the field

Host genetic resistance to root-knot nematodes,Meloidogynespp., in Solanaceae: from genes to the field

Transcriptomic analysis of sweet potato under dehydration stress identifies candidate genes for drought tolerance

Multiple QTL mapping in autopolyploids: a random-effect model approach with application in a hexaploid sweetpotato full-sib population

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