The process of selection and validation of reference genes is the first step in studies of gene expression by real-time quantitative polymerase chain reaction (RT-qPCR). The genome of lettuce, the most popular leaf vegetable cultivated worldwide, has recently been sequenced; therefore, suitable reference genes for reliable results in RT-qPCR analyses are required. In the present study, 17 candidate reference genes were selected, and their expression stability in lettuce leaves under drought, salt, heavy metal, and UV-C irradiation conditions and under the application of abscisic acid (ABA) was evaluated using geNorm and NormFinder software. The candidate reference genes included protein-coding traditional and novel reference genes and microRNAs (miRNAs). The results indicate that the expression stability is dependent on the experimental conditions. The novel protein-coding reference genes were more suitable than the traditional reference genes under drought, UV-C irradiation, and heavy metal conditions and under the application of ABA. Only under salinity conditions were the traditional protein-coding reference genes more stable than the novel genes. In addition, the miRNAs, mainly MIR169, MIR171/170 and MIR172, were stably expressed under the abiotic stresses evaluated, representing a suitable alternative approach for gene expression data normalization. The expression of phenylalanine ammonia lyase (PAL) and 4-hydroxyphenylpyruvate dioxygenase (HPPD) was used to further confirm the validated protein-coding reference genes, and the expression of MIR172 and MIR398 was used to confirm the validated miRNA genes, showing that the use of an inappropriate reference gene induces erroneous results. This work is the first survey of the stability of reference genes in lettuce and provides guidelines to obtain more accurate RT-qPCR results in lettuce studies.

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Plant carotenoids have been implicated in preventing several age-related diseases, and they also provide vitamin A precursors; therefore, increasing the content of carotenoids in maize grains is of great interest. It is not well understood, however, how the carotenoid biosynthetic pathway is regulated. Fortunately, the maize germplasm exhibits a high degree of genetic diversity that can be exploited for this purpose. Here, the accumulation of carotenoids and the expression of genes from carotenoid metabolic and catabolic pathways were investigated in several maize landraces. The carotenoid content in grains varied from 10.03, in the white variety MC5, to 61.50 μg·g−1, in the yellow-to-orange variety MC3, and the major carotenoids detected were lutein and zeaxanthin. PSY1 (phythoene synthase) expression showed a positive correlation with the total carotenoid content. Additionally, the PSY1 and HYD3 (ferredoxin-dependent di-iron monooxygenase) expression levels were positively correlated with β-cryptoxanthin and zeaxanthin, while CYP97C (cytochrome P450-type monooxygenase) expression did not correlate with any of the carotenoids. In contrast, ZmCCD1 (carotenoid dioxygenase) was more highly expressed at the beginning of grain development, as well as in the white variety, and its expression was inversely correlated with the accumulation of several carotenoids, suggesting that CCD1 is also an important enzyme to be considered when attempting to improve the carotenoid content in maize. The MC27 and MC1 varieties showed the highest HYD3/CYP97C ratios, suggesting that they are promising candidates for increasing the zeaxanthin content; in contrast, MC14 and MC7 showed low HYD3/CYP97C, suggesting that they may be useful in biofortification efforts aimed at promoting the accumulation of provitamin A. The results of this study demonstrate the use of maize germplasm to provide insight into the regulation of genes involved in the carotenoid pathway, which would thus better enable us to select promising varieties for biofortification efforts.

MicroRNAs, or miRNAs, are endogenously encoded small RNAs that play a key role in diverse plant biological processes. Jatropha curcas L. has received significant attention as a potential oilseed crop for the production of renewable oil. Here, a sRNA library of mature seeds and three mRNA libraries from three different seed development stages were generated by deep sequencing to identify and characterize the miRNAs and pre-miRNAs of J. curcas. Computational analysis was used for the identification of 180 conserved miRNAs and 41 precursors (pre-miRNAs) as well as 16 novel pre-miRNAs. The predicted miRNA target genes are involved in a broad range of physiological functions, including cellular structure, nuclear function, translation, transport, hormone synthesis, defense, and lipid metabolism. Some pre-miRNA and miRNA targets vary in abundance between the three stages of seed development. A search for sequences that produce siRNA was performed, and the results indicated that J. curcas siRNAs play a role in nuclear functions, transport, catalytic processes and disease resistance. This study presents the first large scale identification of J. curcas miRNAs and their targets in mature seeds based on deep sequencing, and it contributes to a functional understanding of these miRNAs.

The stability of candidate reference genes was evaluated in maize landrace varieties and during multiple grain developmental stages to evaluate the expression of carotenoid-related genes by RT-qPCR for application to maize biofortification. Vitamin A deficiency affects millions of children worldwide; therefore, increasing the content of vitamin A precursors in maize grains is of interest. The study of the expression of genes involved in the carotenoid biosynthetic pathway in maize grains has provided useful information for metabolic engineering approaches. However, reliable results using real-time quantitative polymerase chain reaction (RT-qPCR) experiments are dependent on the use of the appropriate reference genes. In this study, we utilized geNorm and NormFinder softwares to identify the most stably expressed candidate reference genes in samples from seven stages of grain development and from eight landrace varieties. The results of the analysis performed using geNorm indicated that tubulin (TUB) and actin (ACT) were the most suitable reference genes among all experimental conditions, while glyceraldehyde-3-phosphate dehydrogenase gene (GAPDH) showed the least stability. The same result was obtained with the NormFinder software. The minimum number of genes required in each experimental condition to normalize the gene expression data was also determined by geNorm. The expression of phytoene synthase gene (PSY1), the first enzyme in the carotenoid biosynthetic pathway, was overestimated when the least stable candidate gene (GAPDH) was used as the internal control instead of the most stable gene pair (ACT + TUB), thus highlighting the importance of validating reference genes before conducting a RT-qPCR experiment to obtain accurate results. This study is the first survey of the stability of genes for use as reference genes to normalize RT-qPCR data from maize landraces during multiple stages of grain development.

Maize, in addition to being the main staple food in many countries, is used in the production of hundreds of products. It is rich in compounds with potential benefits to health, such as carotenoids, phenolic compounds, vitamin E, and minerals that act as cofactors for antioxidant enzymes. Many of these compounds have been neglected thus far in the scientific literature. Nevertheless, deficiencies in the precursors of vitamin A and some minerals, such as iron and zinc, in maize, in association with the great genetic variability in its cultivars and our genomic, transcriptomic, and metabolomic knowledge of this species make targeted biofortification strategies for maize promising. This review discusses the potential of the main microconstituents found in maize with a focus on studies aimed at biofortification.