Search bioRxiv⌕ Search

Biology subjects

Sorgini, C. A.

Publications and source records attributed to Sorgini, C. A..

2 recordsLinked to original sources

The Genetic Architecture of Leaf Stable Carbon Isotope Composition in Zea mays and the Effect of Transpiration Efficiency on Elemental Accumulation

With increased demand on freshwater resources for agriculture, it is imperative that more water-use efficient crops are developed. Leaf stable carbon isotope composition, {delta}13C, is a proxy for transpiration efficiency and a possible tool for breeders, but the underlying mechanisms effecting {delta}13C in C4 plants are not known. It has been suggested that differences in specific leaf area, which potentially reflects variation in internal CO2 diffusion, can impact leaf {delta}13C. However, at this point the relationship has not been tested in maize. Furthermore, although it is known that water movement is important for elemental uptake, it is not clear how manipulation of transpiration for increased water-use efficiency may impact nutrient accumulation. Here we characterize the underlying genetic architecture of leaf {delta}13C and test its relationship to specific leaf area and the ionome in four biparental populations of maize. Five significant QTL for leaf {delta}13C were identified, including both novel QTL as well as some that were identified previously in maize kernels. One of the QTL regions contains an Erecta-like gene, the ortholog of which has been shown to regulate transpiration efficiency and leaf {delta}13C in Arabidopsis. Our data does not support a relationship between {delta}13C and specific leaf area, and of the 19 elements analyzed, only a weak correlation between molybdenum and {delta}13C was detected. Together these data begin to build a genetic understanding of leaf {delta}13C in maize and suggest the potential to improve plant water use without significantly influencing elemental homeostasis. Article SummaryQuantitative genetics approaches were used to investigate the genetic architecture of leaf stable carbon isotope discrimination ({delta}13C) in maize. Developing a better understanding of leaf {delta}13C could facilitate its use in breeding for reduced transpirational water loss. Several genomic regions were identified that contribute to the variation observed in leaf {delta}13C. Furthermore, contrary to what has been observed in other species, leaf {delta}13C was not correlated with specific leaf area. Finally, a leaf ionomic analysis indicates that a reduction in transpiration, and thus mass flow, would not result in a decrease in nutrient accumulation.

plant biology↗

Elevated ozone reduces photosynthetic carbon gain by accelerating leaf senescence of inbred and hybrid maize in a genotype-specific manner

Exposure to elevated tropospheric ozone concentration ([O3]) accelerates leaf senescence in many C3 crops. However, the effects of elevated [O3] on C4 crops including maize (Zea mays L.) are poorly understood in terms of physiological mechanism and genetic variation in sensitivity. Using Free Air gas Concentration Enrichment (FACE), we investigated the photosynthetic response of 18 diverse maize inbred and hybrid lines to season-long exposure to elevated [O3] (~100 nL L-1) in the field. Gas exchange was measured on the leaf subtending the ear throughout the grain filling period. On average over the lifetime of the leaf, elevated [O3] led to reductions in photosynthetic CO2 assimilation of both inbred (-22%) and hybrid (-33%) genotypes. There was significant variation among both inbred and hybrid lines in the sensitivity of photosynthesis to elevated [O3], with some lines showing no change in photosynthesis at elevated [O3]. Based on analysis of inbred line B73, the reduced CO2 assimilation at elevated [O3] was associated with accelerated senescence decreasing photosynthetic capacity, and not altered stomatal limitation. These findings across diverse maize genotypes could advance the development of more ozone tolerant maize, and provide experimental data for parameterization and validation of studies modeling how O3 impacts crop performance.

plant biology↗