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Over the past decades, the gene bank of RCAT (Research Center of Agrobiodiversity, Tápiószele, Hungary), specialized for field and vegetable crops, has collected 250 accessions of heirlooms, old varieties, landraces and breeding materials of common millet (Panicum milaceum). The accessions have been characterized by descriptor list and compiled according to the international gene bank standards (IPGRI). In this study, a short history of the RCAT, and a case study of common millet accessions is presented. Molecular analysis of DNA samples of twenty current millets and two archaeological seed samples excavated from the 4 th and 15 th centuries are compared at loci of gln4 (nuSSR), ISSRs and 18S mtDNA. The in silico analyses at loci of ITS1-5.8S-ITS2 (nuDNA), rbcL (cpDNA) and protein RuBisCO are also presented to trace molecular events that occurred during the evolution and domestication of common millet.
Seed Science …
Seed remains of common millet from the 4th (Mongolia) and 15th (Hungary) centuries: AFLP, SSR and mtDNA sequence recoveries2006 •
TURKISH JOURNAL OF BOTANY
Genetic diversity and agronomic performance of Slovenian landraces of proso millet (Panicum miliaceum L.)2019 •
2016 •
Planta Daninha
Genetic diversity among proso millet (Panicum miliaceum) biotypes assessed by AFLP technique2004 •
2006 •
Genes & Genomics
Development and characterization of twenty-five new polymorphic microsatellite markers in proso millet ( Panicum miliaceum L2010 •
Millets such as proso millet have excellent nutritional properties and could become a basic resource for crop breeding programs and food diversification. In this study, 25 polymorphic microsatellite markers were developed and characterized through construction of an SSR-enriched library from genomic DNA of proso millet (Panicum miliaceum L.). In total, 110 alleles were detected, with an average of 4.4 alleles per locus. Values of major allele frequency (M AF ) and expected heterozygosity (H E ) ranged from 0.36 to 0.98 (mean = 0.73) and from 0.04 to 0.74 (mean = 0.37), respectively. The mean genetic similarity coefficient was 0.3711, indicating that among 50 accessions of proso millet there was wide genetic variation. The newly developed microsatellite markers should be useful tools for assessing genetic diversity, understanding population structure, and breeding of proso millet.
Biocatalysis and Agricultural Biotechnology
Microsatellite markers of finger millet (Eleusine coracana (L.) Gaertn) and foxtail millet (Setaria italica (L.) Beauv) provide resources for cross-genome transferability and genetic diversity analyses in other milletsThe cross-genome transferability of 101 simple sequence repeats (SSR) markers of finger millet and 26 SSR markers of foxtail millet were analyzed in 8 other millets. In total, 33 finger millet and 2 foxtail millet SSR markers showed 100% cross-genome transferability in other millets. The cross-genome transferability of 101 finger millet and 26 foxtail millet SSR markers ranged from 47.52% to 61.38% and from 30.76% to 69.23% respectively. Expressed sequence tags SSR (EST-SSR) markers of finger millet showed higher level of cross-genome transferability than genomic SSR (gSSR) markers. The observed polymorphic information content (PIC) values were the same for finger millet and foxtail millet SSR markers which ranged from 0.14 to 1.00. Further, these data were also used for genetic diversity analysis among 8 millets using the software version 2.1 of NTSYSpc tool and PAST version 2. All millet species were grouped into one major cluster based on finger millet SSR markers, through UPGMA analysis. But two major clusters were observed by the analysis using foxtail millet SSR markers. Similarity value ranged from 0.238 to 0.714. Higher bootstrap values were observed in all cluster nodes. Successful analysis of genetic diversity was also confirmed by PCO and PCA analyses. This study would pave the way to understand the genetic structure of many nutritionally important millets lacking genomic resources. The SSR markers can also be used for further studies on analysis of genetic variation, population structure and germplasm characterization of millets.
Abstract Sixteen representative accessions of proso millet [Panicum miliaceum] having distinct traits of agronomic importance were collected from altitudinal range of 510–2,695 m asl in the Central Himalayan Region (CHR) of India. Considerable diversity was found in morphophysiological traits viz., leaf length (16.80–32.00 cm), leaf width (1.7–2.1 cm), plant height (57.00–134.00 cm), days to 50 % flowering (34–54), days to 80 % maturity (111–144), and 1,000 seed weight (0.68–1.86 g). Collected accessions have been evaluated for a battery of biochemical parameters viz., chlorophyll, carotenoids, lipid peroxidation, cellular hydrogen peroxide, activity of nitrate reductase, lipoxygenase, catalase, peroxidase, superoxide dismutase along with super oxide free radical formation, glutathione (total, reduced, and oxidized), glutathione reductase, glutathione S-transferase, ascorbate (total, reduced, and oxidized), monodehydroascorbate reductase, and didehydroascorbate reductase. The sets of 12 genic- SSRs (simple sequence repeats), 54 ISSR (inter simple sequence repeats), and 40 SRAP (sequence related amplified polymorphism) markers were used to study the level of genetic diversity, and Nei’s gene diversity value of 0.20 was obtained with both ISSR and SRAP markers. SRAP markers showed higher average number of polymorphic bands, % polymorphism, polymorphic information content (PIC), and Shannon information index compared to ISSR markers; genic-SSRs showed no allelic variation. Cluster analysis shows close groupings of germplasm based on morpho-physiological traits as well as molecular markers. The diverse germplasm identified based on molecular markers with considerable diversity in morpho-physiological traits may be utilized for development of climate resilient cultivars.
XI. Uluslararası Türk Sanatı, Tarihi ve Folkloru / Sanat Etkinlikleri (9-11 Mayıs 2018 Konya)
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Atlas of Genetics and Cytogenetics in Oncology and Haematology
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2006 IEEE International Conference on Web Services (ICWS'06)
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2009 IEEE Workshop on Automatic Speech Recognition & Understanding
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