No abstract

Muscat flavor is a relevant trait both in winemaking and in fresh grape consumption. From a chemical point of view, it is strongly related to the accumulation of monoterpenes in berries. However, knowledge of the genetic mechanisms underlying its regulation is still limited. The objective of this study was to dissect the genetic determinism of aroma in grapevine by applying the analysis of quantitative trait loci (QTL) and the candidate gene (CG) approach. Two F(1) segregating progenies were evaluated through high-resolution gas chromatography-mass spectrometry (HRGC-MS) for the amounts of individual monoterpenes over 3 and 2 years. In the Italia x Big Perlon cross 34 CGs, chosen according to gene ontology (GO) terms, were placed on a complete map and tested for linkage with QTLs for linalool, nerol and geraniol levels. Two CGs mapped within a QTL for linalool content on LG 10. A third one co-localized with a major QTL for the level of the three monoterpenes on LG 5; this gene encodes 1-deoxy-D: -xylulose 5-phosphate synthase (DXS), which is the first enzyme in the plastidial pathway of terpene biosynthesis. Depending on these findings, we report the first in silico analysis of grapevine DXS genes based on the whole genome sequence. Further research on the functional significance of these associations might help to understand the genetic control of Muscat flavor.

Mitochondrial stress elicits the production of stress response molecules indicated as mitokines, including FGF21, GDF15 and Humanin (HN). Many diseases are characterized by progressive mitochondrial dysfunction with alterations of mitokine secretion. It is still controversial whether healthy aging and extreme longevity are accompanied by altered production of mitokines. We analyzed FGF21, HN and GDF15 plasma levels in 693 subjects aged from 21 to 113 years, and the association of these mitokines with parameters of health status. FGF21, HN and GDF15 resulted increased in old age, with the highest levels found in centenarians. These molecules are associated with worsened parameters (such as handgrip strength, insulin sensitivity, total triglycerides), particularly in 70-year-old persons, and their levels are inversely correlated with survival in the oldest subjects. Considering the positive biological effect of these molecules, our results can be interpreted in the framework of the hormetic paradigm as an attempt of the cells/tissues to cope with a stress that can have beneficial or detrimental effects depending on its intensity. Finally, persons with Down Syndrome (characterized by accelerated aging) have higher levels of GDF15 and HN with respect to their siblings, suggesting that these molecules, especially GDF15, could be considered markers of biological age.

Inflamm-aging, that is the age-associated inflammatory status, is considered one of the most striking consequences of immunosenescence, as it is believed to be linked to the majority of age-associated diseases sharing an inflammatory basis. Nevertheless, evidence is emerging that inflamm-aging is at least in part independent from immunological stimuli. Moreover, centenarians who avoided or delayed major inflammatory diseases display markers of inflammation. In this paper we proposed a reappraisal of the concept of inflamm-aging, suggesting that its pathological effects can be independent from the total amount of pro-inflammatory mediators, but they would be rather associated with the anatomical district and type of cells where they are produced and where they primarily act.

Deep sequencing technologies are completely revolutionizing the approach to DNA analysis. Mitochondrial DNA (mtDNA) studies entered in the "postgenomic era": the burst in sequenced samples observed in nuclear genomics is expected also in mitochondria, a trend that can already be detected checking complete mtDNA sequences database submission rate. Tools for the analysis of these data are available, but they fail in throughput or in easiness of use. We present here a new pipeline based on previous algorithms, inherited from the "nuclear genomic toolbox," combined with a newly developed algorithm capable of efficiently and easily classify new mtDNA sequences according to PhyloTree nomenclature. Detected mutations are also annotated using data collected from publicly available databases. Thanks to the analysis of all freely available sequences with known haplogroup obtained from GenBank, we were able to produce a PhyloTree-based weighted tree, taking into account each haplogroup pattern conservation. The combination of a highly efficient aligner, coupled with our algorithm and massive usage of asynchronous parallel processing, allowed us to build a high-throughput pipeline for the analysis of mtDNA sequences that can be quickly updated to follow the ever-changing nomenclature. HaploFind is freely accessible at the following Web address: https://haplofind.unibo.it.