Searching for quantitative trait loci controlling root traits in maize: a critical appraisal

Tuberosa, Roberto; Salvi, Silvio; Sanguineti, Maria Corinna; Maccaferri, Marco; Giuliani, Silvia; Landi, Pierangelo

doi:10.1023/a:1026146615248

Cited by 114 publications

(44 citation statements)

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“…Because of the complexity of the maize genome and the difficulty of measuring root traits, few genes associated with root plasticity to N have previously been identified. QTL mapping offers unprecedented opportunities to uncover natural variation in root traits and to investigate the extent to which this variation affects grain yield and other agronomic traits in maize grown under varying water and nutrient regimes (Tuberosa ; Tuberosa et al ; Hochholdinger et al ). Although many QTLs for numerous root traits have been identified, few QTL analyses have been conducted for root traits in response to LN stress (Liu et al ).…”

Section: Discussionmentioning

confidence: 99%

Use of genotype‐environment interactions to elucidate the pattern of maize root plasticity to nitrogen deficiency

Zhuang

Cai

et al. 2015

JIPB

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Maize (Zea mays L.) root morphology exhibits a high degree of phenotypic plasticity to nitrogen (N) deficiency, but the underlying genetic architecture remains to be investigated. Using an advanced BC 4 F 3 population, we investigated the root growth plasticity under two contrasted N levels and identified the quantitative trait loci (QTLs) with QTL-environment (Q Â E) interaction effects. Principal components analysis (PCA) on changesofroottraitstoNdeficiency(DLN-HN)showedthatroot length and biomass contributed for45.8%inthesamemagnitude and direction on the first PC, while root traits scattered highly on PC2 and PC3. Hierarchical cluster analysis on traits for DLN-HN further assigned the BC 4 F 3 lines into six groups, in which the special phenotypic responses to N deficiency was presented. These results revealed thecomplicated root plasticity of maizein response to N deficiency that can be caused by genotypeenvironment (G Â E) interactions. Furthermore, QTL mapping using a multi-environment analysis identified 35 QTLs for root traits. Nine of these QTLs exhibited significant Q Â E interaction effects. Taken together, our findings contribute to understanding the phenotypic and genotypic pattern of root plasticity to N deficiency, which will be useful for developing maize tolerance cultivars to N deficiency.Keywords: Genotype-environment interactions; nitrogen stress; quantitative trait locus; root morphology; root plasticity; Zea mays L. Citation: Li P, Zhuang Z, Cai H, Cheng S, Soomro AA, Liu Z, Gu R, Mi G, Yuan L, Chen F (2016) Use of genotype-environment interactions to elucidate the pattern of maize root plasticgqy to nitrogen deficiency.

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Section: Discussionmentioning

confidence: 99%

Use of genotype‐environment interactions to elucidate the pattern of maize root plasticity to nitrogen deficiency

Zhuang

Cai

et al. 2015

JIPB

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“…Moons et al 1995;Tuberosa et al 2003). In rice, some of the many QTLs for roots are common across different genetic backgrounds (Li et al 2005a).…”

Section: Components and Mechanisms Of Drought And Salinity Stress Resmentioning

confidence: 99%

Breeding for abiotic stresses for sustainable agriculture

Witcombe

Hollington

Howarth

et al. 2007

Phil. Trans. R. Soc. B

251

158

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Using cereal crops as examples, we review the breeding for tolerance to the abiotic stresses of low nitrogen, drought, salinity and aluminium toxicity. All are already important abiotic stress factors that cause large and widespread yield reductions. Drought will increase in importance with climate change, the area of irrigated land that is salinized continues to increase, and the cost of inorganic N is set to rise. There is good potential for directly breeding for adaptation to low N while retaining an ability to respond to high N conditions. Breeding for drought and salinity tolerance have proven to be difficult, and the complex mechanisms of tolerance are reviewed. Marker-assisted selection for component traits of drought in rice and pearl millet and salinity tolerance in wheat has produced some positive results and the pyramiding of stable quantitative trait locuses controlling component traits may provide a solution. New genomic technologies promise to make progress for breeding tolerance to these two stresses through a more fundamental understanding of underlying processes and identification of the genes responsible. In wheat, there is a great potential of breeding genetic resistance for salinity and aluminium tolerance through the contributions of wild relatives.

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“…QTL mapping has been a major approach in investigating the genetic basis of maize root systems, as root traits are genetically controlled by a number of small-effect loci (de Dorlodot et al, 2007; Cai et al, 2012). Significant variation in RSA has been known to exist among maize genotypes, which provides an abundance of genetic material for QTL mapping (Jenison et al, 1981; Landi et al, 1998; Tuberosa et al, 2003; Chun et al, 2005; Kumar et al, 2012). After the first QTL study of maize RSA was conducted by Lebreton et al (1995), numerous other work has been carried out under varying growth conditions, at different growth stages, and using different mapping populations (Hund et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Root Traits and the Associated QTLs for Maize Seedlings Grown in Paper Roll, Hydroponics and Vermiculite Culture System

et al. 2017

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Root system architecture (RSA) plays an important role in the acquisition of both nitrogen (N) and phosphorus (P) from the environment. Currently RSA is rarely considered as criteria for selection to improve nutrient uptake efficiency in crop breeding. Under field conditions roots can be greatly influenced by uncontrolled environment factors. Therefore, it is necessary to develop fast selection methods for evaluating root traits of young seedlings in the lab which can then be related to high nutrient efficiency of adult plants in the field. Here, a maize recombination inbred line (RILs) population was used to compare the genetic relationship between RSA and nitrogen and phosphorous efficiency traits. The phenotypes of eight RSA-related traits were evaluated in young seedlings using three different growth systems (i.e., paper roll, hydroponics and vermiculite), and then subjected to correlation analysis with N efficiency and P efficiency related traits measured under field conditions. Quantitative trait loci (QTL) of RSA were determined and QTL co-localizations across different growth systems were further analyzed. Phenotypic associations were observed for most of RSA traits among all three culture systems. RSA-related traits in hydroponics and vermiculite weakly correlated with Nitrogen (NupE) uptake efficiency (r = 0.17–0.31) and Phosphorus (PupE) uptake efficiency (r = 0.22–0.34). This correlation was not found in the paper roll growth system. A total of 14 QTLs for RSA were identified in paper rolls, 18 in hydroponics, and 14 in vermiculite. Co-localization of QTLs for RSA traits were identified in six chromosome regions of bin 1.04/1.05, 1.06, 2.04/2.05, 3.04, 4.05, and 5.04/5.05. The results suggest the problem of using the phenotype from one growth system to predict those in another growth system. Assessing RSA traits at the seedling stage using either hydroponics or a vermiculite system appears better suited than the paper roll system as an important index to accelerate the selection of high N and P efficient genotypes for maize breeding programs.

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Searching for quantitative trait loci controlling root traits in maize: a critical appraisal

Cited by 114 publications

References 0 publications

Use of genotype‐environment interactions to elucidate the pattern of maize root plasticity to nitrogen deficiency

Use of genotype‐environment interactions to elucidate the pattern of maize root plasticity to nitrogen deficiency

Breeding for abiotic stresses for sustainable agriculture

Comparative Analysis of Root Traits and the Associated QTLs for Maize Seedlings Grown in Paper Roll, Hydroponics and Vermiculite Culture System

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