Development, characterization and mapping of microsatellite markers for lentil (<i>Lens culinaris</i> Medik.)

Andeden, Enver Ersoy; Baloch, Faheem Shehzad; Çakır, Esra Papatya; Toklu, Faruk; Özkan, Hakan

doi:10.1111/pbr.12296

Cited by 27 publications

(27 citation statements)

References 71 publications

(144 reference statements)

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“…Investigation of genetic diversity is very important because it can provide insight into sources of novel alleles to be used in breeding programs. The use of molecular markers to assess genetic diversity represents a significant breakthrough [ 50 – 51 – 52 ]. Various types of molecular markers have been employed in an attempt to assess genetic diversity of common bean [ 9 – 19 – 53 ].…”

Section: Discussionmentioning

confidence: 99%

Characterization of genetic diversity in Turkish common bean gene pool using phenotypic and whole-genome DArTseq-generated silicoDArT marker information

et al. 2018

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Turkey presents a great diversity of common bean landraces in farmers’ fields. We collected 183 common bean accessions from 19 different Turkish geographic regions and 5 scarlet runner bean accessions to investigate their genetic diversity and population structure using phenotypic information (growth habit, and seed weight, flower color, bracteole shape and size, pod shape and leaf shape and color), geographic provenance and 12,557 silicoDArT markers. A total of 24.14% markers were found novel. For the entire population (188 accessions), the expected heterozygosity was 0.078 and overall gene diversity, Fst and Fis were 0.14, 0.55 and 1, respectively. Using marker information, model-based structure, principal coordinate analysis (PCoA) and unweighted pair-group method with arithmetic means (UPGMA) algorithms clustered the 188 accessions into two main populations A (predominant) and B, and 5 unclassified genotypes, representing 3 meaningful heterotic groups for breeding purposes. Phenotypic information clearly distinguished these populations; population A and B, respectively, were bigger (>40g/100 seeds) and smaller (<40g/100 seeds) seed-sized. The unclassified population was pure and only contained climbing genotypes with 100 seed weight 2–3 times greater than populations A and B. Clustering was mainly based on A: seed weight, B: growth habit, C: geographical provinces and D: flower color. Mean kinship was generally low, but population B was more diverse than population A. Overall, a useful level of gene and genotypic diversity was observed in this work and can be used by the scientific community in breeding efforts to develop superior common bean strains.

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Section: Discussionmentioning

confidence: 99%

Characterization of genetic diversity in Turkish common bean gene pool using phenotypic and whole-genome DArTseq-generated silicoDArT marker information

et al. 2018

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“…Reasons for the underutilization of molecular markers in crop plants DNA markers were developed in the 1980s and after the development of the first PCR-based markers in the 1990s, a large number of markers have been developed and have been applied for various aspects [243][244][245][246]. However, wise utilization of these markers has begun over the previous few years [198].…”

Section: Mechanismmentioning

confidence: 99%

DNA molecular markers in plant breeding: current status and recent advancements in genomic selection and genome editing

Nadeem

Nawaz

Shahid

et al. 2017

Biotechnology & Biotechnological Equipment

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635

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With the development of molecular marker technology in the 1980s, the fate of plant breeding has changed. Different types of molecular markers have been developed and advancement in sequencing technologies has geared crop improvement. To explore the knowledge about molecular markers, several reviews have been published in the last three decades; however, all these reviews were meant for researchers with advanced knowledge of molecular genetics. This review is intended to be a synopsis of recent developments in molecular markers and their applications in plant breeding and is devoted to early researchers with a little or no knowledge of molecular markers. The progress made in molecular plant breeding, genetics, genomic selection and genome editing has contributed to a more comprehensive understanding of molecular markers and provided deeper insights into the diversity available for crops and greatly complemented breeding stratagems. Genotyping-by-sequencing and association mapping based on next-generation sequencing technologies have facilitated the identification of novel genetic markers for complex and unstructured populations. Altogether, the history, the types of markers, their application in plant sciences and breeding, and some recent advancements in genomic selection and genome editing are discussed.

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“…During the household survey, samples of seeds were collected from the 1694 plots planted by 1000 sampled farmers. Prior to the analysis, a set of five Inter Simple Sequence Repeats (ISSR) and 41 Simple Sequence Repeats (SSR) markers (Andeden et al 2015;Verma et al 2015;Gupta et al 2012;Hamwieh et al 2009;and Pradeep et al 2002) were identified from the lentil genome covering different linkage groups and individually tested for polymorphism in the breeder samples. Two ISSR and 20 SSR markers showed significant polymorphism across the Breeder seed samples and were used for varietal identification.…”

Section: Dna Fingerprintingmentioning

confidence: 99%

Is DNA fingerprinting the gold standard for estimation of adoption and impacts of improved lentil varieties?

Yigezu¹,

Alwang

Rahman

et al. 2019

Food Policy

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In the early 1980s, disease susceptibility in short-season lentil landraces began to limit productivity in areas where relay cropping took place in Bangladesh. Since then, several improved high-yielding lentil varieties, which are resistant to rust and blight and suitable in the relay cropping system, have been released jointly by national and international research centers. This study used three methods, namely a panel of experts, a survey of 1,000 households where the respondents named the variety they used, and DNA fingerprinting of seed samples collected from all lentil plots cultivated by survey households to estimate adoption. Double hurdle and instrumental variables regression methods were applied to the household survey and DNA fingerprinting data to identify determinants of adoption and measure their impacts. Of particular interest was whether estimates of adoption, determinants of adoption and impacts varied by method of variety identification. Results showed that the expert panel overestimated the adoption of more recent varieties while about 89 percent of the farmer-reported varieties were accurate, as verified by DNA fingerprinting. DNA fingerprinting appears to have little advantage for estimating the level of adoption in this case, where few varieties of lentils are found, local variety names do not exist, and most seed is obtained through a formal system. However, even under these conditions, determinants of adoption vary by identification method, and use of farmer-reported information on the variety can lead to erroneous conclusions about determinants of adoption. Because recent breeding efforts have focused on taste and cooking considerations, yield impacts were not significantly different from zero.

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Development, characterization and mapping of microsatellite markers for lentil (Lens culinaris Medik.)

Cited by 27 publications

References 71 publications

Characterization of genetic diversity in Turkish common bean gene pool using phenotypic and whole-genome DArTseq-generated silicoDArT marker information

Characterization of genetic diversity in Turkish common bean gene pool using phenotypic and whole-genome DArTseq-generated silicoDArT marker information

DNA molecular markers in plant breeding: current status and recent advancements in genomic selection and genome editing

Is DNA fingerprinting the gold standard for estimation of adoption and impacts of improved lentil varieties?

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