Several members of the Yellow Stripe1-Like (YSL) family of transporter proteins are able to transport metal-nicotianamine (NA) complexes. Substantial progress has been made in understanding the roles of the Arabidopsis YSLs that are most closely related to the founding member of the family, ZmYS1 (e.g., AtYSL1, AtYSL2 and AtYSL3), but there is little information concerning members of the other two well-conserved YSL clades. Here, we provide evidence that AtYSL4 and AtYSL6, which are the only genes in Arabidopsis belong to YSL Group II, are localized to vacuole membranes and to internal membranes resembling endoplasmic reticulum. Both single and double mutants for YSL4 and YSL6 were rigorously analyzed, and have surprisingly mild phenotypes, in spite of the strong and wide-ranging expression of YSL6. However, in the presence of toxic levels of Mn and Ni, plants with mutations in YSL4 and YSL6 and plants overexpressing GFP-tagged YSL6 showed growth defects, indicating a role for these transporters in heavy metal stress responses.
Most biological traits are regulated by both genetic and environmental factors. Individual loci contributing to the phenotypic diversity in a population are generally identified by their contributions to the trait mean.Genome-wide association (GWA) analyses can also detect loci based on variance differences between genotypes and several hypotheses have been proposed regarding the possible genetic mechanisms leading to such signals. Little is, however, known about what causes them and whether this genetic varianceheterogeneity reflects mechanisms of importance in natural populations. Previously, we identified a varianceheterogeneity GWA (vGWA) signal for leaf molybdenum concentrations in Arabidopsis thaliana. Here, finemapping of this association to a ~78 kb Linkage Disequilibrium (LD)-block reveals that it emerges from the independent effects of three genetic polymorphisms on the high-variance associated version of this LDblock. By revealing the genetic architecture underlying this vGWA signal, we uncovered the molecular source of a significant amount of hidden additive genetic variation ("missing heritability"). Two of the three polymorphisms on the high-variance LD-block are promoter variants for Molybdate transporter 1 (MOT1), and the third a variant located ~25 kb downstream of this gene. A fourth independent association was also detected ~600 kb upstream of the LD-block. Testing of T-DNA knockout alleles for genes in the associated regions suggest AT2G25660 (unknown function) and AT2G26975 (Copper Transporter 6; COPT6) as the strongest candidates for the associations outside MOT1. Our results show that multi-allelic genetic architectures within a single LD-block can lead to a variance-heterogeneity between genotypes in natural populations. Further they provide novel insights into the genetic regulation of ion homeostasis in A. thaliana, and empirically confirm that variance-heterogeneity based GWA methods are a valuable tool to detect novel associations of biological importance in natural populations.
Intensive cultivation and post-harvest vegetable oil production stages are major sources of greenhouse gas (GHG) emissions. Variation between production systems and reporting disparity have resulted in discordance in previous emissions estimates. To assess systems-wide GHG implications of meeting increasing edible oil demand, we performed a unified re-analysis of life cycle input data from diverse oil palm, soybean, rapeseed, and sunflower production systems, from a saturating search of published literature. The resulting dataset reflects almost 6,000 producers in 38 countries, and is representative of over 74% of global vegetable oil production. Determination of the carbon cost of agricultural land occupation revealed that carbon storage potential drives variation in production GHG emissions, and indicates that expansion of production in low carbon storage potential land, whilst reforesting areas of high carbon storage potential, could reduce net GHG emissions whilst boosting productivity. Nevertheless, there remains considerable scope to improve sustainability within current production systems.
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