Role of Molecular Markers

Mir, Reyazul Rouf; Bhat, Javaid Akhter; Jan, Nelofer; Singh, B. P.; Razdan, Ashok Kumar; Bhat, Mohd Ashraf; Kumar, Ajay; Srivastava, Ekta; Malviya, Nupur

doi:10.1007/978-1-4614-8585-8_7

Cited by 3 publications

(3 citation statements)

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“…Molecular markers are required to establish locus association with traits of breeders' interest. These molecular markers have been classified on the basis of timeline (past–present–future), generation of datapoints per single run (high and low throughput), and technique used (hybridization–PCR–sequencing) by several workers (Kumar, Choudhary, et al, 2019; Kumar et al, 2015; Mir et al, 2012; Mir, Bhat, et al, 2013; Mir, Hiremath, et al, 2013; Mir & Varshney, 2012). Molecular markers are discussed here based on techniques used in lentil.…”

Section: Acceleration In the Development Of Genomic Resources For Elevating Lentil From Orphan Statusmentioning

confidence: 99%

Genomics‐assisted lentil breeding: Current status and future strategies

et al. 2021

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Genomics‐assisted breeding has become a powerful tool to develop high‐yielding climate‐resilient varieties for adaptation to adverse environmental conditions such as heat and drought stresses. Previously, efforts have been made to develop genomic resources in lentil, leading to the development of many trait‐specific mapping populations, cores and mini‐cores, and single nucleotide polymorphism and simple sequence repeat markers. Molecular markers have been used in genetic diversity analyses and to clarify genetic relationships in lentil. However, availability of cost‐effective next‐generation sequencing and genotyping‐by‐sequencing technologies has provided unprecedented opportunities for advancing genetics research and breeding applications. For instance, it has become possible to assemble the large and complex genome, develop high‐density genetic maps for high‐resolution QTL mapping, and deploy genome‐wide association study in lentil. Furthermore, a range of cost‐effective marker genotyping platforms have been developed. These developments offer ample opportunities to modernize current breeding programs in lentil for accelerating genetic gains. This review discusses the current status and future possibilities of genomics‐assisted breeding to develop and deploy lentil cultivars suitable for changing climatic conditions.

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Section: Acceleration In the Development Of Genomic Resources For Elevating Lentil From Orphan Statusmentioning

confidence: 99%

Genomics‐assisted lentil breeding: Current status and future strategies

et al. 2021

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“…In addition, the NGS‐based genotyping has considerably reduced the linkage drag involved in the MAB (Varshney et al, 2014). Breeding program involved in the transfer of favorable allele/gene via MAB from the wild unadapted parent into the elite cultivated recipient parent often leads to linkage drag (Mir et al, 2014). Breeders do not want this linkage drag, that is, transfer of undesirable genes linked to desirable gene into the elite recipient parent, because they often make the new developed cultivar unacceptable to the farmers and consumers (Mir et al, 2014).…”

Section: Ngs‐based Genotyping: Gene Discovery and Mas In Soybeanmentioning

confidence: 99%

“…Breeding program involved in the transfer of favorable allele/gene via MAB from the wild unadapted parent into the elite cultivated recipient parent often leads to linkage drag (Mir et al, 2014). Breeders do not want this linkage drag, that is, transfer of undesirable genes linked to desirable gene into the elite recipient parent, because they often make the new developed cultivar unacceptable to the farmers and consumers (Mir et al, 2014). In this regard, NGS has played a critical role by rapidly identifying the plant lines in which the linkage between undesirable and desirable genes has broken due to recombination process.…”

Section: Ngs‐based Genotyping: Gene Discovery and Mas In Soybeanmentioning

confidence: 99%

High‐throughput NGS‐based genotyping and phenotyping: Role in genomics‐assisted breeding for soybean improvement

Bhat

2021

Legume Science

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Soybean is an important food crop that provides edible protein and oil for human and animal nutrition. Conventional phenotypic‐based breeding approaches have made significant contribution in the last century by developing many improved soybean varieties. However, due to the longer time taken to develop a variety, low genetic gain per unit time, and adverse environmental influence of phenotypic‐based selection, conventional approaches are not sufficient to maintain pace with growing population and climate change. In this context, the recent method of genotypic selection, that is, genomics‐assisted breeding (GAB) is considered a promising approach to address the challenges in soybean breeding. However, to harness the true potential of GAB in soybean improvement, the great coverage and precision in the genotyping and phenotyping are required. Previously, a huge gap was observed between the discovery and practical use of quantitative trait loci (QTLs) in soybean improvement. It has been suggested that low marker density and manually collected phenotypes are the major reasons for this failure. Hence, high‐throughput genotyping (HTG) providing higher genome‐wide marker density, as well as accurate and precise phenotyping using high‐throughput digital phenotyping (HTP) platforms, can significantly increase the success of QTL and candidate gene identification in soybean. These approaches can greatly increase the practical utility of GAB in soybean and also offer a faster characterization of germplasm and breeding materials. This review provides the detailed information on how the recent innovations in genomics and phenomics can assists in improving the efficiency and potential of GAB in soybean improvement.

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Genome-Wide Mapping of Adult Plant Resistance to Leaf Rust and Stripe Rust in CIMMYT Wheat Line Arableu#1

et al. 2020

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Leaf (brown) rust (LR) and stripe (yellow) rust (YR), caused by Puccinia triticina and P. striiformis f. sp. tritici, respectively, significantly reduce wheat production worldwide. Disease-resistant wheat varieties offer farmers one of the most effective ways to manage these diseases. The common wheat (Triticum aestivum L.) Arableu#1, developed by the International Maize and Wheat Improvement Center and released as Deka in Ethiopia, shows susceptibility to both LR and YR at the seedling stage but a high level of adult plant resistance (APR) to the diseases in the field. We used 142 F5 recombinant inbred lines (RILs) derived from Apav#1 × Arableu#1 to identify quantitative trait loci (QTLs) for APR to LR and YR. A total of 4,298 genotyping-by-sequencing markers were used to construct a genetic linkage map. The study identified four LR resistance QTLs and six YR resistance QTLs in the population. Among these, QLr.cim-1BL.1/QYr.cim-1BL.1 was located in the same location as Lr46/Yr29, a known pleiotropic resistance gene. QLr.cim-1BL.2 and QYr.cim-1BL.2 were also located on wheat chromosome 1BL at 37 cM from Lr46/Yr29 and may represent a new segment for pleiotropic resistance to both rusts. QLr.cim-7BL is likely Lr68 given its association with the tightly linked molecular marker cs7BLNLRR. In addition, QLr.cim-3DS, QYr.cim-2AL, QYr.cim-4BL, QYr.cim-5AL, and QYr.cim-7DS are probably new resistance loci based on comparisons with published QTLs for resistance to LR and YR. Our results showed the diversity of minor resistance QTLs in Arableu#1 and their role in conferring near-immune levels of APR to both LR and YR, when combined with the pleiotropic APR gene Lr46/Yr29.

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Role of Molecular Markers

Cited by 3 publications

References 91 publications

Genomics‐assisted lentil breeding: Current status and future strategies

Genomics‐assisted lentil breeding: Current status and future strategies

High‐throughput NGS‐based genotyping and phenotyping: Role in genomics‐assisted breeding for soybean improvement

Genome-Wide Mapping of Adult Plant Resistance to Leaf Rust and Stripe Rust in CIMMYT Wheat Line Arableu#1

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