Название: Genotyping by Sequencing for Crop Improvement
Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Жанр: Биология
isbn: 9781119745679
isbn:
Molecular markers have several applications in genetic studies and crop improvement programs. These have been used in the development of saturated linkage maps, gene/QTL mapping, map‐based cloning of genes, orthologous gene mapping, and marker‐assisted transfer of targeted genes/QTLs in the background of different cultivars/lines. Saturation of linkage maps refers to increased marker density to cover the entire chromosomal region. In general, when molecular markers are arranged on a linkage map with less than 1 cM distance apart, is considered as saturated linkage map. The development of saturated linkage maps could only be possible with the availability of molecular markers. These maps are prerequisite for gene/QTL mapping, map‐based cloning of genes, and MAS. Several molecular markers‐based saturated linkage maps have been developed in crop plants including rice (Harushima et al. 1998; McCouch et al. 2002; IRGSP 2005; Zhu et al. 2017; Kumar et al. 2018), wheat (Somers et al. 2004; Song et al. 2005; Poland et al. 2012; Li et al. 2015; Hussain et al. 2017), maize (Sharopova et al. 2002; Zhou et al. 2016; Su et al. 2017), and tomato (Tanksley et al. 1992; Haanstra et al. 1999; Sim et al. 2012). In one of the studies, a rice genetic map helped to enrich the genetic region of Ph1 locus of wheat and facilitated the identification of candidate genes governing the locus (Sidhu et al. 2008).
Plant breeders have relied heavily on generating new gene combinations and selecting these new gene combinations empirically. Though phenotype‐based selection has largely been successful, MAS has improved the efficiency and precision of selection. MAS can be practiced more efficiently for characters whose phenotypic selection is difficult. As an example, selecting a fertility restorer gene in segregating generations need test crossing before subsequent backcrossing. However, if such genes are tagged with molecular markers, desirable plants with fertility restorer genes (in heterozygous condition), can be identified and backcrossed. Similarly, if desirable genes conferring tolerance to abiotic stresses are tagged, these can be selected easily in segregating generations. Also, genetic markers can be assayed in nontarget areas such as growth chambers, greenhouses, or off‐season nurseries, thus permitting more rapid progress. The efficiencies of scale and time accorded by DNA markers are valuable in breeding horticultural plants where fewer individuals might save several hectares and fewer generations may save several decades (Paterson et al. 1991). MAS has been used efficiently in (i) gene pyramiding (Huang et al. 1997; Singh et al. 2001; Bhatia et al. 2011; Kumar et al. 2013; Yasuda et al. 2015), (ii) marker‐assisted alien introgressions (Jena et al. 1992; Brar and Dhaliwal 1997; Elkot et al. 2015), and (iii) simultaneous identification and pyramiding of QTLs from primitive cultivars and wild species (Tanksley and Nelson 1996; Tanksley et al. 1996; Fulton et al. 1997; Xiao et al. 1996, 1998).
1.7.2 Role of Molecular Markers in Germplasm Characterization
Molecular markers are also used in DNA fingerprinting for varietal identification, germplasm evaluation, phylogenetic and evolutionary studies, etc. The molecular marker‐based DNA fingerprinting data are useful for the characterization of plant germplasm accessions, quantification of genetic diversity, and protection of proprietary germplasm (Smith and Smith 1992). Molecular markers have been utilized to distinguish closely related crop cultivars (Melchinger et al. 1991; Paull et al. 1998), in sex identification of dioecious plants (Parasnis et al. 1999). They are also used to understand evolutionary relationships within and between species, genera, or higher taxonomic groups. Such studies involve large number of markers to study similarities and differences among taxa (Paterson et al. 1991). Although phylogeny has been established for many plant species based on morphological markers, biochemical markers, and chromosome homology, the genetic markers have enhanced our understanding of phylogeny. In one important study, DNA‐based markers enabled the designation of GG for Oryza granulata and HHJJ for Oryza ridleyi (Aggarwal et al. 1997 ).
1.7.3 Deployment of Molecular Markers in Plant Variety Protection and Registration
The current system of plant variety protection and registration using assessment of DUS (Distinctness, Uniformity, and Stability) characteristics predominantly relies upon morphological traits which are quite laborious, time‐consuming, requires skills, expertise, and evaluation under special designs for most quantitative traits. With the advent of novel breeding technologies, new varieties differ only for few traits or at few loci which make the process of detecting distinctness in varieties, a challenging task. Even with increasing numbers of plant varieties, DUS testing is becoming quite expensive. In a review by Jamali et al. (2019), DNA‐based molecular markers have been proposed to be a reliable alternative for conducting DUS testing. Molecular markers not only cut cost, time and labor but will also help in the proper sharing of Plant Breeder’s Rights with an assessment of few distinct traits, particularly in essentially derived varieties.
1.8 Summary
The DNA‐based molecular markers are widely recognized for their enormous potential in plant breeding and genetic studies. The past few years have seen remarkable developments in the field of molecular markers technology particularly with the emergence of NGS technologies. SNPs have become the choice of markers of present and future based on their genome‐wide abundance, high polymorphism, amenability to high‐throughput automation, and easier analysis. SNPs can be utilized in different genotyping platforms such as GBS, DArT, WGR, SNP arrays, and KASP. Any genotyping platform can be chosen based on the objective of the study and cost concerns. As an example, GBS, WGR, SNP arrays, and KASP can generate similar type of results for genetic diversity analysis; however, KASP and GBS could be cheaper than others. While the development of KASP will depend upon the availability of SNPs particularly in SNP databases, but GBS can be done without any previous information. It has been observed that these recent marker genotyping technologies have accelerated the crop improvement programs particularly in the identification and utilization of novel genes and QTLs.
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