Literature DB >> 31114741

The potentiality of rice microsatellite markers in assessment of cross-species transferability and genetic diversity of rice and its wild relatives.

Umakanta Ngangkham1,2, Sofini Dash1, Madhuchhanda Parida1, Sanghamitra Samantaray1, Devachandra Nongthombam3, Manoj Kumar Yadav1, Awadhesh Kumar1, Parameswaran Chidambaranathan1, Jawahar L Katara1, Bhaskar C Patra1, Lotan K Bose1.   

Abstract

The main aim of this study is to assess the potentiality of SSR markers for the identification of the cross-species transferability frequency in a large set of the diverse genome types of wild relative rice along with cultivated rice. Here, we used 18 different rice genotypes representing nine different genome types with 70 SSR markers to investigate the potentiality of cross-species transferability rate. The overall cross-species transferability of SSR markers across the 18 rice genotypes ranged from 38.9% (RM280 and RM447) to 100% (RM490, RM318, RM279, RM18877 and RM20033, RM19303) with an average of 76.58%. Also, cross-species transferability across chromosome ranged from 54.4% (chromosome 4) to 86.5% (chromosome 2) with an average of 74.35%. The polymorphism information content of the markers varied from 0.198 (RM263) to 0.868 (RM510) with a mean of 0.549 ± 0.153, showing high discriminatory power. The highest rate of cross-transferability was observed in O. rufipogon (97%), The highest rate of cross-species transferability was in O. rufipogon (97.00%), followed by O. glaberrima (94.20%), O. nivara (92.80%), Swarna (92.80%), O. longistaminata (91.40%), O. eichingeri (90%), O. barthii (88.50%), O. alta (82.80%), O. australiensis (77.10%), O. grandiglumis (74.20%), O. officinalis (74.20%), Zizania latifolia (70.00%), O. latifolia (68.50%), O. brachyantha (62.80%), Leersia perrieri (57.10%) and O. ridleyi (41.40%) with least in O. coarctata (28.50%). A total of 341 alleles from 70 loci were detected with the number of alleles per locus ranged from 2 to 12. Based on dendrogram analysis, the AA genome groups was separated as distinct group from the rest of the genome types. Similarly, principal coordinate analysis and structure analysis clearly separated the AA genome type from the rest of the genome types. Through the analysis of molecular variance, more variance (51%) was observed among the individual, whereas less (14%) was observed among the population. Thus, our findings may offer a valuable resource for studying the genetic diversity and relationship to facilitate the understanding of the complex mechanism of the origin and evolutionary processes of different Oryza species and wild relative rice.

Entities:  

Keywords:  Cross-species transferability; Microsatellites; Oryza; Rice; SSR markers; Wild relative rice

Year:  2019        PMID: 31114741      PMCID: PMC6527660          DOI: 10.1007/s13205-019-1757-x

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


  47 in total

1.  dbSNP: the NCBI database of genetic variation.

Authors:  S T Sherry; M H Ward; M Kholodov; J Baker; L Phan; E M Smigielski; K Sirotkin
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

Review 3.  Diversity in the Oryza genus.

Authors:  Duncan A Vaughan; H Morishima; K Kadowaki
Journal:  Curr Opin Plant Biol       Date:  2003-04       Impact factor: 7.834

4.  Comparison of different nuclear DNA markers for estimating intraspecific genetic diversity in plants.

Authors:  Hilde Nybom
Journal:  Mol Ecol       Date:  2004-05       Impact factor: 6.185

5.  Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

Authors:  G Evanno; S Regnaut; J Goudet
Journal:  Mol Ecol       Date:  2005-07       Impact factor: 6.185

6.  Phylogeny of rice genomes with emphasis on origins of allotetraploid species.

Authors:  S Ge; T Sang; B R Lu; D Y Hong
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-07       Impact factor: 11.205

7.  Transferable EST-SSR markers for the study of polymorphism and genetic diversity in bread wheat.

Authors:  P K Gupta; S Rustgi; S Sharma; R Singh; N Kumar; H S Balyan
Journal:  Mol Genet Genomics       Date:  2003-09-24       Impact factor: 3.291

8.  Genetic diversity in the northernmost Oryza rufipogon populations estimated by SSR markers.

Authors:  Z P Song; X Xu; B Wang; J K Chen; B-R Lu
Journal:  Theor Appl Genet       Date:  2003-08-15       Impact factor: 5.699

9.  Transferability of microsatellite and sequence tagged site markers in Oryza species.

Authors:  Claudio Brondani; Paulo Hideo Nakano Rangel; Tereza Cristina Oliveira Borba; Rosana Pereira Vianello Brondani
Journal:  Hereditas       Date:  2003       Impact factor: 3.271

Review 10.  Productivity improvements in rice.

Authors:  Gurdv Khush
Journal:  Nutr Rev       Date:  2003-06       Impact factor: 7.110

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.