Characterization of root architecture in an applied core collection for phosphorus efficiency of soybean germplasm

Jing, Zhao

doi:10.1360/04wc0142

Cited by 64 publications

(82 citation statements)

References 1 publication

(1 reference statement)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition to the intrinsic involvement of GmEXPB2 in root system architecture changes in response to abiotic stress, it is reasonable to speculate that GmEXPB2 may have great potential in improving plant P efficiency. GmEXPB2 was cloned from HN89, a P‐efficient genotype, which was previously shown to acquire more P through improved root system architecture (Zhao et al. , 2004; Yan et al.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A soybean β‐expansin geneGmEXPB2intrinsically involved in root system architecture responses to abiotic stresses

Guo¹,

Zhao²,

et al. 2011

The Plant Journal

Self Cite

239

171

View full text Add to dashboard Cite

SUMMARYRoot system architecture responds plastically to some abiotic stresses, including phosphorus (P), iron (Fe) and water deficiency, but its response mechanism is still unclear. We cloned and characterized a vegetative b-expansin gene, GmEXPB2, from a Pi starvation-induced soybean cDNA library. Transient expression of 35S::GmEXPB2-GFP in onion epidermal cells verified that GmEXPB2 is a secretory protein located on the cell wall. GmEXPB2 was found to be primarily expressed in roots, and was highly induced by Pi starvation, and the induction pattern was confirmed by GUS staining in transgenic soybean hairy roots. Results from intact soybean composite plants either over-expressing GmEXPB2 or containing knockdown constructs, showed that GmEXPB2 is involved in hairy root elongation, and subsequently affects plant growth and P uptake, especially at low P levels. The results from a heterogeneous transformation system indicated that overexpressing GmEXPB2 in Arabidopsis increased root cell division and elongation, and enhanced plant growth and P uptake at both low and high P levels. Furthermore, we found that, in addition to Pi starvation, GmEXPB2 was also induced by Fe and mild water deficiencies. Taken together, our results suggest that GmEXPB2 is a critical root b-expansin gene that is intrinsically involved in root system architecture responses to some abiotic stresses, including P, Fe and water deficiency. In the case of Pi starvation responses, GmEXPB2 may enhance both P efficiency and P responsiveness by regulating adaptive changes of the root system architecture. This finding has great agricultural potential for improving crop P uptake on both low-P and P-fertilized soils.

show abstract

Section: Discussionmentioning

confidence: 99%

“…, 2010). It has been reported that P‐efficient soybean genotypes respond to Pi starvation via alterations in the root system architecture and morphology associated with enhanced exploration for soil P (Zhao et al. , 2004; Yan et al.…”

Section: Introductionmentioning

confidence: 99%

A soybean β‐expansin geneGmEXPB2intrinsically involved in root system architecture responses to abiotic stresses

Guo¹,

Zhao²,

et al. 2011

The Plant Journal

Self Cite

239

171

View full text Add to dashboard Cite

show abstract

“…Therefore, in situ and dynamic observation and modeling are very important for assessing the rice root architecture. It cannot be simply classified by qualitative measurements made at a single point in time (Zhao et al. , 2004).…”

Section: Discussionmentioning

confidence: 99%

3D reconstruction and dynamic modeling of root architecture in situ and its application to crop phosphorus research

2009

View full text Add to dashboard Cite

SUMMARYRoot architecture plays important roles in plant water and nutrient acquisition. However, accurate modeling of the root system that provides a realistic representation of roots in the soil is limited by a lack of appropriate tools for the non-destructive and precise measurement of the root system architecture in situ. Here we describe a root growth system in which the roots grow in a solid gel matrix that was used to reconstruct 3D root architecture in situ and dynamically simulate its changes under various nutrient conditions with a high degree of precision. A 3D laser scanner combined with a transparent gel-based growth system was used to capture 3D images of roots. The root system skeleton was extracted using a skeleton extraction method based on the Hough transformation, and mesh modeling using Ball-B spline was employed. We successfully used this system to reconstruct rice and soybean root architectures and determine their changes under various phosphorus (P) supply conditions. Our results showed that the 3D root architecture parameters that were dynamically calculated based on the skeletonization and simulation of root systems were significantly correlated with the biomass and P content of rice and soybean based on both the simulation system and previous reports. Therefore, this approach provides a novel technique for the study of crop root growth and its adaptive changes to various environmental conditions.

show abstract

“…It is important to recognize that genotypic differences exist in terms of Pi acquisition from the soil. Studies have shown that for bean, soybean, and maize, P‐efficient plant lines employ shallower root growth angles that allow them to acquire more Pi from the P‐rich topsoil, thereby allowing better growth under P‐limiting conditions compared to less efficient genotypes (Zhao et al ; Calderón‐Vázquez et al ; Lynch ). In barley, genotypes having the ability to develop longer root hairs, and thereby achieve enhanced root penetration and root‐soil contact, through increased surface area, similarly exhibit higher yield potential in P‐limited soils (Gahoonia and Nielsen ; Haling et al ).…”

Section: Physiological and Biochemical Reprogramming In Response To Pmentioning

confidence: 99%

Molecular mechanisms underlying phosphate sensing, signaling, and adaptation in plants

Zhang

Liao

Lucas

2014

JIPB

357

311

View full text Add to dashboard Cite

As an essential plant macronutrient, the low availability of phosphorus (P) in most soils imposes serious limitation on crop production. Plants have evolved complex responsive and adaptive mechanisms for acquisition, remobilization and recycling of phosphate (Pi) to maintain P homeostasis. Spatio-temporal molecular, physiological, and biochemical Pi deficiency responses developed by plants are the consequence of local and systemic sensing and signaling pathways. Pi deficiency is sensed locally by the root system where hormones serve as important signaling components in terms of developmental reprogramming, leading to changes in root system architecture. Root-to-shoot and shoot-to-root signals, delivered through the xylem and phloem, respectively, involving Pi itself, hormones, miRNAs, mRNAs, and sucrose, serve to coordinate Pi deficiency responses at the whole-plant level. A combination of chromatin remodeling, transcriptional and posttranslational events contribute to globally regulating a wide range of Pi deficiency responses. In this review, recent advances are evaluated in terms of progress toward developing a comprehensive understanding of the molecular events underlying control over P homeostasis. Application of this knowledge, in terms of developing crop plants having enhanced attributes for P use efficiency, is discussed from the perspective of agricultural sustainability in the face of diminishing global P supplies.

show abstract

Characterization of root architecture in an applied core collection for phosphorus efficiency of soybean germplasm

Cited by 64 publications

References 1 publication

A soybean β‐expansin geneGmEXPB2intrinsically involved in root system architecture responses to abiotic stresses

A soybean β‐expansin geneGmEXPB2intrinsically involved in root system architecture responses to abiotic stresses

3D reconstruction and dynamic modeling of root architecture in situ and its application to crop phosphorus research

Molecular mechanisms underlying phosphate sensing, signaling, and adaptation in plants

Contact Info

Product

Resources

About