Relationship between calcium decoding elements and plant abiotic-stress resistance

Does an expressed sequence tag (EST) library of Salsola iberica (tumbleweed) help to understand plant responses to environmental stresses?

Weeds play an important role in agriculture and molecular techniques are useful to help understand traits that contribute to weediness and weeds' interactions with the environment. A total of 377 expressed sequence tags (ESTs) from a modest library were arranged into 227 unique fragments and 61 contigs, which consisted of two or more ESTs. From blastx results, we mapped and annotated unigenes using the gene ontology vocabulary according to biological process, cellular component and molecular function. These were then compared to a reference set of Arabidopsis thaliana sequences for statistically significant over- or underrepresented genes. The sequences were also compared against multiple protein databases for similarity of functional domains. Overall, the S. iberica sequences showed high similarity to response to stress, which included salt-induced proteins, betaine aldehydehyde dehydrogenase and calcium binding proteins. Only a modest number of transcripts were sequenced; however, the results presented here demonstrate the metabolic versatility of S. iberica in sub-optimal conditions that are likely to contribute to its cosmopolitan distribution. Here we propose that an EST library of an economically important weed species could be used to understand the weed's interactions with the environment.

Leaf lifetime photosynthetic rate and leaf demography in whole plants of Ipomoea pes-caprae growing with a low supply of calcium, a 'non-mobile' nutrient

The adaptive significance of leaf longevity has been established in relation to restrictive nutrients that can be retranslocated within the plant. However, the effect of deficiencies in 'non-mobile' nutrients on leaf lifespan and photosynthetic carbon gain is uncertain. Calcium is frequently given as an example of an essential nutrient with low phloem mobility that may alter the leaf senescence process. This study has been designed to estimate leaf lifespan, leaf production (L(p)) and leaf death (L(d)) rates, the age structure of leaves, and the decline in maximum photosynthetic rate (A(max)) with age in plants of Ipomoea pes-caprae growing with a full supply of nutrients and with a low Ca supply. The Ca deficiency produced reductions in L(p) and leaf lifespan compared with control plants. In spite of the differences in the demographic parameters between treatments in control and low-Ca plants, the percentage of leaves of a given leaf age class is maintained in such a way that the number of leaves per plant continues to increase. No relationship was found between Ca supply and A(max). However, the decline in A(max) with leaf senescence was rather sudden in control plants compared with plants growing with a low Ca supply. The importance of simultaneously using the total leaf demographic census and the assimilation rate along with leaf lifespan data in order to understand the performance of whole plants under constrained conditions is discussed.

When cells lose water: Lessons from biophysics and molecular biology

Organisms living in deserts and anhydrobiotic species are useful models for unraveling mechanisms used to overcome water loss. In this context, late embryogenesis abundant (LEA) proteins and sugars have been extensively studied for protection against desiccation stress and desiccation tolerance. This article aims to reappraise the current understanding of these molecules by focusing on converging contributions from biochemistry, molecular biology, and the use of biophysical tools. Such tools have greatly advanced the field by uncovering intriguing aspects of protein 3-D structure, such as folding upon stress. We summarize the current research on cellular responses against water deficit at the molecular level, considering both plausible water loss-sensing mechanisms and genes governing signal transduction pathways. Finally, we propose models that could guide future experimentation, for example, by concentrating on the behavior of selected proteins in living cells.