journal article·2022-01-04Open access

Genetic Variation of a Lentil (Lens culinaris) Landrace during Three Generations of Breeding

Anthoula Gleridou, Ioannis Tokatlidis, Alexios Polidoros

Applied Sciences· Volume 12· Issue 1

Abstract

Genetic differentiation between 40 lentil genotypes was tested using molecular markers. The genotypes were produced from a Greek landrace of commercial interest via the honeycomb breeding methodology, i.e., single-plant selection in the absence of competition, across three successive pedigree generations. The selected genotypes from each generation were examined for genetic relationships using 15 SSR molecular markers with HRM analysis. As expected, low variation among consecutive generations at the level of 2.5–7.7% was detected. Analysis of molecular variance (AMOVA) revealed that partitioning of this variation was at higher percentage within each generation’s population than between them. Population structure analysis indicated that ongoing selection could effectively shift the allelic composition in each generation. The applied honeycomb breeding methodology that effectively improved progeny yield and seed quality increased the percentage of favorable alleles altering allelic composition but not eliminating genetic variation of the breeding population.
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Research context

OpenAlex topics: Genetic and Environmental Crop Studies · Agricultural pest management studies · Botanical Research and Chemistry

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Laboratory of Genetics and Plant Breeding, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

Department of Molecular Biology and Genetics, Democritus University of Thrace, 68100 Alexandroupolis, Greece

Funding

General Secretariat for Research and Technology

References (55)

Show source-provided references
1. Priyadarshan, P., and Jain, S.M. (2022). Lentil Gene Pool for Breeding. Cash Crops, Springer.10.1007/978-3-030-74926-2 ↗
2. Selection at ultra-low density identifies plants escaping virus infection and leads towards high-performing lentil (Lens culinaris L.) varieties10.1017/S0021859613000403 ↗
3. Single-plant selection within lentil landraces at ultra-low density: A short-time tool to breed high yielding and stable varieties across divergent environments10.1007/s10681-018-2139-x ↗
4. Yadav, S.S., McNeil, D.L., and Stevenson, P.C. (2007). El Lentil Diseases. Lentil: An Ancient Crop for Modern Times, Springer.10.1007/978-1-4020-6313-8 ↗
5. Yadav, S.S., McNeil, D.L., and Stevenson, P.C. (2007). Abiotic Stresses. Lentil: An Ancient Crop for Modern Times, Springer.
6. Population genetic structure and diversity analysis in economically important Pandanus odorifer (Forssk.) Kuntze accessions employing ISSR and SSR markers10.1016/j.indcrop.2019.111894 ↗
7. Tokatlidis, I., and Vlachostergios, D. (2016). Sustainable stewardship of the landrace diversity. Diversity, 8.10.3390/d8040029 ↗
8. Outcrossing in lentil (Lens culinaris) depends on cultivar, location and year, andvaries within cultivars10.1111/j.1439-0523.2006.01290.x ↗
9. Plant breeding and diversity: A troubled relationship?10.1007/s10681-018-2192-5 ↗
10. Impact of plant breeding on genetic diversity of agricultural crops: Searching for molecular evidence10.1079/PGR2006116 ↗
11. Seed propagation at low density facilitates the selection of healthy plants to produce seeds with a reduced virus load in a lentil landrace10.15258/sst.2015.43.1.04 ↗
12. Addressing huge spatial heterogeneity induced by virus infections in lentil breeding trials
13. Toward an evolved concept of landrace
14. A genetic linkage map of Lens sp. based on microsatellite and AFLP markers and the localization of fusarium vascular wilt resistance10.1007/s00122-004-1892-5 ↗
15. GenALEx 6.5: Genetic analysis in Excel. Population genetic software for teaching and research—An update10.1093/bioinformatics/bts460 ↗
16. GENALEX 6: Genetic analysis in Excel. Population genetic software for teaching and research10.1111/j.1471-8286.2005.01155.x ↗
17. MEGA X: Molecular evolutionary genetics analysis across computing platforms10.1093/molbev/msy096 ↗
18. An evaluation of the utility of SSR loci as molecular markers in maize (Zea mays L.): Comparisons with data from RFLPS and pedigree10.1007/s001220050544 ↗
19. Inference of population structure using multilocus genotype data10.1093/genetics/155.2.945 ↗
20. STRUCTURE HARVESTER: A website and program for visualizing STRUCTURE output and implementing the Evanno method10.1007/s12686-011-9548-7 ↗
21. Detecting the number of clusters of individuals using the software STRUCTURE: A simulation study10.1111/j.1365-294X.2005.02553.x ↗
22. Characterization of Genetic and Allelic Diversity Amongst Cultivated and Wild Lentil Accessions for Germplasm Enhancement10.3389/fgene.2020.00546 ↗
23. Characterization of genetic diversity and population structure of Moroccan lentil cultivars and landraces using molecular markers10.1007/s12298-019-00673-5 ↗
24. Aci, M.M., Lupini, A., Badagliacca, G., Mauceri, A., Lo Presti, E., and Preiti, G. (2020). Genetic diversity among lathyrus ssp. Based on agronomic traits and molecular markers. Agronomy, 10.10.3390/agronomy10081182 ↗
25. Assessment of genetic diversity among local pea (Pisum sativum L.) accessions cultivated in the arid regions of Southern Tunisia using agro-morphological and SSR molecular markers10.1007/s10722-019-00784-8 ↗
26. Genetic diversity among common bean cultivars based on agronomic traits and molecular markers and application to recommendation of parent lines10.1007/s10681-018-2324-y ↗
27. Ahuja, M.R., and Mohan Jain, S. (2015). Genetic Diversity and Modern Plant Breeding. Genetic Diversity and Erosion in Plants, Springer.10.1007/978-3-319-25637-5 ↗
28. Genetic diversity in historical and modern wheat varieties of the U.S. Pacific Northwest10.1002/csc2.20299 ↗
29. Genetic diversity within Australian wheat breeding programs based on molecular and pedigree data10.1023/A:1015725522441 ↗
30. SSR allelic diversity changes in 480 European bread wheat varieties released from 1840 to 200010.1007/s00122-005-2014-8 ↗
31. Microsatellite analysis reveals a progressive widening of the genetic basis in the elite durum wheat germplasm10.1007/s00122-003-1319-8 ↗
32. Dimensions of diversity in modern spring bread wheat in developing countries from 196510.2135/cropsci2002.1766 ↗
33. Optimal portfolio choice under a liability constraint10.1023/A:1018996712442 ↗
34. Temporal trends in the diversity of UK wheat10.1007/s001220051370 ↗
35. Allelic reduction and genetic shift in the Canadian hard red spring wheat germplasm released from 1845 to 200410.1007/s00122-005-1988-6 ↗
36. Changes in allelic frequency over time in European bread wheat (Triticum aestivum L.) varieties revealed using DArT and SSR markers10.1007/s10681-014-1080-x ↗
37. Amplified fragment length polymorphism analysis of 96 Canadian oat cultivars released between 1886 and 200110.4141/P02-141 ↗
38. RAPD analysis of 54 North American flax cultivars10.2135/cropsci2003.1510 ↗
39. Allelic Diversity Changes in 96 Canadian Oat Cultivars Released from 1886 to 200110.2135/cropsci2003.1989 ↗
40. Genetic diversity of Pakistan wheat germplasm as revealed by RAPD markers10.1007/s10722-004-5730-z ↗
41. The genetic diversity of old and modern Siberian varieties of common spring wheat as determined by microsatellite markers10.1046/j.1439-0523.2003.00934.x ↗
42. Temporal flux in the morphological and molecular diversity of UK barley10.1007/s00122-002-1065-3 ↗
43. Molecular marker diversity among current and historical maize inbreds10.1007/PL00002917 ↗
44. Quantitative evaluation of genetic diversity in wheat germplasm using molecular markers10.2135/cropsci2001.413682x ↗
45. Impact of plant breeding on genetic diversity of the Canadian hard red spring wheat germplasm as revealed by EST-derived SSR markers10.1007/s00122-006-0225-2 ↗
46. Genetic diversity of winter wheat in Shaanxi province, China, and other common wheat germplasm pools10.1023/A:1020670013249 ↗
47. Assessing temporal changes in genetic diversity of maize varieties using microsatellite markers10.1007/s00122-004-1834-2 ↗
48. Trends in genetic diversity among European maize cultivars and their parental components during the past 50 years10.1007/s00122-005-0004-5 ↗
49. Genetic diversity trend of common wheat (Triticum aestivum L.) in China revealed with AFLP markers10.1007/s10722-005-5716-5 ↗
50. Genetic variation among lentil (Lens culinaris Medik) landraces from Southeast Turkey10.1111/j.1439-0523.2008.01548.x ↗
51. Molecular and biochemical markers in some lentil (Lens culinaris Medik.) genotypes10.1016/j.aoas.2011.11.001 ↗
52. Morphological and molecular variation in Ethiopian lentil (Lens culinaris Medikus) varieties
53. Characterization of the lentil landrace Santo Stefano di Sessanio from Abruzzo, Italy10.1007/s10722-011-9682-9 ↗
54. Phenological, nutritional and molecular diversity assessment among 35 introduced lentil (Lens culinaris medik.) genotypes grown in saudi arabia10.3390/ijms15010277 ↗
55. Genetic diversity analysis of the Greek lentil (Lens culinaris) landrace “Eglouvis” using morphological and molecular markers10.1017/S1479262118000096 ↗