Demi Sargent

and 8 more

Leaf gas exchange measurements provide an important tool for inferring a plant’s photosynthetic biochemistry. In most cases, the responses of photosynthetic CO 2 assimilation to variable intercellular CO 2 concentrations ( A/ Ci response curves) are used to model the maximum rate of carboxylation by ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco, V cmax) and the rate of electron transport at a given photosynthetically active radiation (PAR; J PAR). The standard Farquhar-Von Caemmerer-Berry model is typically used with default parameters of Rubisco kinetic values and mesophyll conductance to CO 2 ( g m) derived from tobacco that impairs analytical reliability across species. To study this, here we measured the temperature responses of key in vitro Rubisco catalytic properties and g m in cotton ( Gossypium hirsutum cv. Sicot 71) and derived V cmax and J 2000 ( J at 2000 µmol m -2 s -1 PAR) from cotton A/ Ci curves incrementally measured at 15°C to 40°C using cotton and tobacco parameters with our new automated fitting R package ‘OptiFitACi’. When applied to cotton, the tobacco parameters produced unrealistic J 2000: V cmax ratio of <1 at 25°C, two- to three-fold higher estimates of V cmax, approximately 50% higher estimates of J 2000 and more variable estimates of V cmax and J 2000, compared to model parameterisation with cotton-derived values. We determined that errors arise when using a g m of 0.23 mol m -2 s -1 bar -1 or below and Rubisco CO 2-affinities under ambient O 2 ( K C 21%O2) outside 461 µbar to 627 µbar to model A/ C i responses in cotton. We show how the multi- A/ C i modelling capabilities of ‘OptiFitACi’ serves as a robust, user-friendly extension of ‘plantecophys’ by providing simplified temperature-sensitivity and species-specificity parameterisation capabilities to enable higher accuracy estimates of V cmax and J 2000.

Collin Ahrens W

and 4 more

Local adaptation is a major driver of biological diversity, and related species may develop analogous (parallel evolution) or alternative (divergent evolution) solutions to similar ecological challenges. We expect these adaptive solutions between closely related organisms would culminate in both phenotypic and genotypic signals. In this study, we employ a reciprocal transplant, glasshouse experiment with two Eucalyptus species ( E. grandis and E. tereticornis) with large, overlapping distributions grown under contrasting ‘local’ temperature conditions (tropic and temperate) to investigate the independent contribution of adaptation, plasticity, and their interaction at molecular, physiological and morphological levels. We find key traits differ in their response. The link between gene expression and traits markedly differed between species. Divergent evolution was the dominant pattern driving adaptation as unique gene responses (91% of all significant genes) was the greatest factor driving differentiation; but overlapping gene (homologous) responses were dependent on the determining factor (plastic, adaptive, or genotype by environment interaction). 98% of the plastic homologs were similarly regulated, while 50% of the adaptive homologs and 100% of the interaction homologs were antagonistically regulated. Therefore, parallel evolution for the adaptive effect in homologous genes was greater than expected but not in favour of divergent evolution. Further, heat shock proteins for E. grandis were almost entirely driven by adaptive responses, while plasticity drove the response in E. tereticornis. These results suggest divergent molecular evolutionary solutions dominated the adaptive mechanisms among species, even in similar ecological circumstances. Thus, trees with overlapping distributions are unlikely to equally persist in the future, suggesting that management of future forests to changing temperature conditions must be species specific.

OSAZEE OYANOGHAFO

and 4 more

Ximeng Li

and 7 more