Genome Engineering for Crop Improvement. Группа авторов

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Название Genome Engineering for Crop Improvement
Автор произведения Группа авторов
Жанр Биология
Серия
Издательство Биология
Год выпуска 0
isbn 9781119672401



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as shown in the microscopic image (a) and corresponding maps related to esters, representing fats (b), amide II representing proteins (c) and coupling of the CO and CC stretching representing starch (d). SR‐FTIR spectra were recorded on the SISSI beamline, Elettra, Trieste, Italy using a global source and a focal plane array detector. The maps represent 64 × 64 pixels with each pixel including 128 scans. Spectra were processed and maps were generated in Opus software (Bruker, USA).

      Development of accelerator‐based nuclear microprobes (micro‐Particle Induced X‐ray Emission; PIXE) (Moretto 1996), the third and fourth generation of synchrotron facilities with micro‐and nano‐focused beams (SR‐micro‐X‐ray Fluorescence (XRF) (Kaulich et al. 2009; Tolrà et al. 2011; Martínez‐Criado et al. 2016; Cotte et al. 2017) and Laser Ablation‐Inductively Coupled Mass Spectrometry (LA‐ICPMS) (Limbeck et al. 2015) have advanced the imaging of the elemental distribution in plants down to the subcellular level (Koren et al. 2013). Each of these techniques has its advantages and limitations, but provide a means to complement biomolecular imaging with elemental distributions.

      With the nuclear microprobe or micro‐PIXE it is possible to image a broad spectrum of elements (from NatoU) with lateral resolution down to the submicron range (Vavpetič et al. 2017), but the method is less sensitive for light and heavy elements, with a detection limit in the μg g−1 range for middle Z elements (Nečemer et al. 2008). Microprobes are normally operated in vacuum, therefore samples must be vacuum compatible – dehydrated or measured under cryogenic conditions (Simičič et al. 2002; Vogel‐Mikuš et al. 2014).

      The localization of minerals in whole grain cross sections of wheat was first performed in 1981 and 1985 with micro‐PIXE by Mazzolini, Pallaghy and Legge (Mazzolini et al. 1981, 1985), with special emphasis on the Zn and Mn distribution. It was found that both elements are mainly distributed in the aleurone layer and in the embryo. However, in the embryo, the highest Zn concentration was measured in the scutellum and the highest Mn concentration in the coleoptyle. Almost 30 years later, the same question of Zn allocation in the wheat grain, after Zn fertilization, was addressed and confirmed that Zn is preferentially localized in scutellum and aleurone (Pongrac et al. 2013a). With Zn fertilization (Zn added as ZnNO3), the Zn concentrations in the aforementioned parts increased. In addition, almost twice as high Zn concentrations were also found in the endosperm, the part used for flour production. These results underline agronomic biofortification, i.e. increasing the mineral element composition of staple foods through the application of fertilizers, as a means to successfully increase the Zn concentration in the edible parts of the grain, and demonstrate the applicability of imaging techniques such as micro‐PIXE to evaluate the success of biofortification. Recently, grain cross‐section micro‐PIXE analysis of contrasting lines of barley (Hordeum vulgare L.) that accumulate different total amounts of Zn, additionally confirmed that differences in grain Zn accumulation apply to all parts of the grain, including the endosperm (Detterbeck et al. 2016), while also highlighting the possibility of selecting high Zn content lines for biofortification purposes.

      According to the World Health Organization, WHO, iron (Fe) deficiency affects almost two thirds of the world population, especially women in their fertility period and children (Collings et al. 2013). In wheat grains, Fe is found in the outer layers of bran, most of which is lost during milling and processing (Zhang et al. 2010; Regvar et al. 2011). The flour is almost free of Fe. Therefore, the development of wheat varieties with Fe‐enriched endosperm offers an important strategy to improve the nutritional availability of Fe in wheat flour. In a study conducted by Singh et al. (Singh et al. 2013, 2014), the variability of the mineral distribution in wheat was investigated by comparing three wheat genotypes and a wild wheat relative, Aegilops kotschyi (A.kot), which differ in the content of Fe in whole grain. In the genotypes with high Fe content (IITR26, A.kot), an increased concentration of Fe was observed in the aleurone layer, but also in the endosperm (Singh et al. 2014).