Genetic analysis of root morphological traits in wheat

Petrarulo, M.; Marone, Daniela; Ferragonio, Pina; Cattivelli, Luigi; Rubiales, Diego; Vita, Pasquale De; Mastrangelo, Anna Maria

doi:10.1007/s00438-014-0957-7

Cited by 42 publications

(24 citation statements)

References 97 publications

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“…The QTL on the short arm of chromosome 7B is of particular interest, whereby it is involved in the control of root length, volume, and surface area, but only for the largest root-diameter class. Similarly, in a previous study, a QTL that controlled root length, volume, and surface area only in a specific root-diameter class was identified in the “Creso” × “Pedroso” segregating population [ 67 ]. This finding indicates that specific loci can act in shaping the morphology of the root apparatus only in particular growth phases.…”

Section: Discussionmentioning

confidence: 58%

Mapping QTL for Root and Shoot Morphological Traits in a Durum Wheat × T. dicoccumSegregating Population at Seedling Stage

Iannucci¹,

Marone²,

Russo³

et al. 2017

International Journal of Genomics

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A segregating population of 136 recombinant inbred lines derived from a cross between the durum wheat cv. “Simeto” and the T. dicoccum accession “Molise Colli” was grown in soil and evaluated for a number of shoot and root morphological traits. A total of 17 quantitative trait loci (QTL) were identified for shoot dry weight, number of culms, and plant height and for root dry weight, volume, length, surface area, and number of forks and tips, on chromosomes 1B, 2A, 3A, 4B, 5B, 6A, 6B, and 7B. LODs were 2.1 to 21.6, with percent of explained phenotypic variability between 0.07 and 52. Three QTL were mapped to chromosome 4B, one of which corresponds to the Rht-B1 locus and has a large impact on both shoot and root traits (LOD 21.6). Other QTL that have specific effects on root morphological traits were also identified. Moreover, meta-QTL analysis was performed to compare the QTL identified in the “Simeto” × “Molise Colli” segregating population with those described in previous studies in wheat, with three novel QTL defined. Due to the complexity of phenotyping for root traits, further studies will be helpful to validate these regions as targets for breeding programs for optimization of root function for field performance.

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Section: Discussionmentioning

confidence: 58%

Mapping QTL for Root and Shoot Morphological Traits in a Durum Wheat × T. dicoccumSegregating Population at Seedling Stage

Iannucci¹,

Marone²,

Russo³

et al. 2017

International Journal of Genomics

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“…Several wheat studies have evaluated roots using different phenotyping methods including rhizotrons (Nagel et al, 2012;Lobet and Draye, 2013;Clarke et al, 2017), soil coring (Trachsel et al, 2011;Wasson et al, 2012;Wasson et al, 2014), lysimeters (Ehdaie et al, 2014;Elazab et al, 2016), hydroponics (Liu et al, 2015), paper roll culture and Petri dishes for seedling (Tomar et al, 2016), rhizoboxes (Fang et al, 2017, and X-ray-computed tomography (Gregory et al, 2003;Mairhofer et al, 2013;Colombi and Walter, 2017;Flavel et al, 2017). This has encouraged researchers to develop high-throughput strategies that focus on key proxy traits linked to root system architecture displayed in the field (Petrarulo et al, 2015;Richard et al, 2015). This has encouraged researchers to develop high-throughput strategies that focus on key proxy traits linked to root system architecture displayed in the field (Petrarulo et al, 2015;Richard et al, 2015).…”

Section: Root System Architecture and Its Association With Yield Undementioning

confidence: 99%

“…However, most of these techniques are either expensive or not precise enough and reproducible. This has encouraged researchers to develop high-throughput strategies that focus on key proxy traits linked to root system architecture displayed in the field (Petrarulo et al, 2015;Richard et al, 2015). One such example is the "clear pot" method first developed by Richard et al (2015) in hexaploid wheat, and later adapted to barley (Hordeum vulgare L.; Robinson et al, 2016).…”

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confidence: 99%

Root System Architecture and Its Association with Yield under Different Water Regimes in Durum Wheat

et al. 2018

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Durum wheat (Triticum durum Desf.) is a major cereal crop grown globally, but its production is often hindered by droughts. Breeding for adapted root system architecture should provide a strategic solution for better capturing moisture. The aim of this research was to adapt low‐cost and high‐throughput methods for phenotyping root architecture and exploring the genetic variability among 25 durum genotypes. Two protocols were used: the “clear pot” for seminal root and the “pasta strainer” to evaluate mature roots. Analysis of variance revealed significant segregation for all measured traits with strong genetic control. Shallow and deep root classes were determined with different methods and then tested in yield trials at five locations with different water regimes. Simple trait measurements did not correlate to any of the traits consistently across field sites. Multitrait classification instead identified significant superiority of deep‐rooted genotypes with 16 to 35% larger grains in environments with limited moisture, but 9 to 24% inferior in the drip irrigated site. Combined multitrait classification identified a 28 to 42% advantage in grain yield for the class with deeper roots at two environments where moisture was limited. Further discrimination revealed that yield advantage of 37 to 38% under low moisture could be achieved by the deepest root types, but that it also caused a 20 to 40% yield penalty in moisture‐rich environments compared with the shallowest root types. In conclusion, the proposed methodologies enable low‐cost and quick characterization of root behavior in durum wheat with significant distinction of agronomic performance.

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“…however, the environment of root development in this [32]. The GWAS results also showed that some SNP loci that control multiple root traits were detected under all three cultivation patterns or at all stages except the MS.…”

Section: Effects Of Different Cultivation Patterns On Wheat Root Devementioning

confidence: 52%

WITHDRAWN: Genome-wide association study on root traits under different cultivation patterns in wheat

Chen

Yang

et al. 2020

Preprint

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Background Roots are critical for water and nutrient acquisition, environmental adaptation and yield formation. Results Here, 196 accessions from Yellow and Huai Winter Wheat Region (YHW) of China were collected for investigating the performance of six root traits under three cultivation patterns—Indoor Hydroponic Culture (IHC), Outdoor Hydroponic Culture (OHC) and Outdoor Pot Culture (OPC) at different growth stages—for three consecutive years. In the same growth period, OPC root traits always varied greatly, followed by OHC and IHC. The correlation coefficients between IHC and OPC at stooling stage (SS) were lower (0.016 ~ 0.278) than those between OHC and OPC (0.29 ~ 0.378). Root traits were negatively correlated grain yield (GY), the canonical correlation coefficient between root traits and yield was the highest (0.232) at SS. Genome-wide association study (GWAS) was furtherly conducted by a wheat 660K SNP array. It was revealed that 1105 SNP loci were significantly associated with root traits. A co-localized chromosomal segment regulating total root length (TRL) was detected on chromosome 4A, spanning from 737.85 to 742.00 Mb, under different cultivation patterns at stooling stage. Another co-localization region regulating total root area (TRA) was detected on chromosome 5A, an approximately 6.17 ~ 18.76 Mb region at SS, wintering stage (WT) and jointing stage (JS) under OPC. LD analysis and blast comparison revealed 27 and 31 genes related to root development were found from these two segments, respectively. Among them, TraesCS4A02G493900, TraesCS4A02G494200, TraesCS5A02G021700, TraesCS5A02G021800 and TraesCS5A02G011600 were predicted to be highly expressed in root. Conclusion This work could deepen our understanding of the molecular mechanisms of root development under different cultivation patterns in common wheat.

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Genetic analysis of root morphological traits in wheat

Cited by 42 publications

References 97 publications

Mapping QTL for Root and Shoot Morphological Traits in a Durum Wheat × T. dicoccumSegregating Population at Seedling Stage

Mapping QTL for Root and Shoot Morphological Traits in a Durum Wheat × T. dicoccumSegregating Population at Seedling Stage

Root System Architecture and Its Association with Yield under Different Water Regimes in Durum Wheat

WITHDRAWN: Genome-wide association study on root traits under different cultivation patterns in wheat

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