eprintid: 9027
rev_number: 12
eprint_status: archive
userid: 1305
dir: disk0/00/00/90/27
datestamp: 2015-09-30 05:29:23
lastmod: 2015-10-07 10:48:28
status_changed: 2015-09-30 05:29:23
type: article
metadata_visibility: show
creators_name: Nachimuthu, V V
creators_name: Muthurajan, R
creators_name: Duraialaguraja, S
creators_name: Sivakami, R
creators_name: Pandian, B A
creators_name: Ponniah, G
creators_name: Gunasekaran, K
creators_name: Swaminathan, M
creators_name: Suji, K K
creators_name: Sabariappan, R
icrisatcreators_name: Gunasekaran, K
icrisatcreators_name: Ponniah, G
affiliation: Plant Molecular Biology, Plant Breeding and Genetics Divison, International Rice Research Institute (Manila)
affiliation: Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University (Coimbatore)
affiliation: Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University (Coimbatore)
affiliation: ICRISAT (Patancheru)
affiliation: Centre of Excellence in Molecular Breeding, Tamil Nadu Agricultural University (Coimbatore)
country: Philippines
country: India
title: Analysis of Population Structure and Genetic Diversity in Rice Germplasm Using SSR Markers: An Initiative Towards Association Mapping of Agronomic Traits in Oryza Sativa
ispublished: pub
subjects: s2.13
full_text_status: public
keywords: Rice; Genetic diversity; Population structure; Polymorphism information content; Molecular variance; Association mapping
note: This work was supported by a grant from Department of Biotechnology,
Government of India under Rice biofortification with enhanced iron and zinc
in high yielding non basmati cultivars through marker assisted breeding and transgenic approaches- Phase II (E28SO) scheme. I thank Dr. Yasodha from Institute of Forest Genetics and Tree Breeding, Coimbatore for helping in the analysis.
abstract: Background
Genetic diversity is the main source of variability in any crop improvement program. It serves as a reservoir for identifying superior alleles controlling key agronomic and quality traits through allele mining/association mapping. Association mapping based on LD (Linkage dis-equilibrium), non-random associations between causative loci and phenotype in natural population is highly useful in dissecting out genetic basis of complex traits. For any successful association mapping program, understanding the population structure and assessing the kinship relatedness is essential before making correlation between superior alleles and traits. The present study was aimed at evaluating the genetic variation and population structure in a collection of 192 rice germplasm lines including local landraces, improved varieties and exotic lines from diverse origin.

Results
A set of 192 diverse rice germplasm lines were genotyped using 61 genome wide SSR markers to assess the molecular genetic diversity and genetic relatedness. Genotyping of 192 rice lines using 61 SSRs produced a total of 205 alleles with the PIC value of 0.756. Population structure analysis using model based and distance based approaches revealed that the germplasm lines were grouped into two distinct subgroups. AMOVA analysis has explained that 14 % of variation was due to difference between with the remaining 86 % variation may be attributed by difference within groups.

Conclusions
Based on these above analysis viz., population structure and genetic relatedness, a core collection of 150 rice germplasm lines were assembled as an association mapping panel for establishing marker trait associations.
date: 2015-09-26
date_type: published
publication: Rice
volume: 08
number: 30
publisher: SpringerOpen
pagerange: 01-24
refereed: TRUE
issn: 1939-8425
official_url: http://dx.doi.org/10.1186/s12284-015-0062-5
related_url_url: https://scholar.google.co.in/scholar?hl=en&q=Analysis+of+Population+Structure+and+Genetic+Diversity+in+Rice+Germplasm+Using+SSR+Markers%3A+An+Initiative+Towards+Association+Mapping+of+Agronomic+Traits+in+Oryza+Sativa&btnG=
related_url_type: pub
funders: Department of Biotechnology, Government of India
citation:   Nachimuthu, V V and Muthurajan, R and Duraialaguraja, S and Sivakami, R and Pandian, B A and Ponniah, G and Gunasekaran, K and Swaminathan, M and Suji, K K and Sabariappan, R  (2015) Analysis of Population Structure and Genetic Diversity in Rice Germplasm Using SSR Markers: An Initiative Towards Association Mapping of Agronomic Traits in Oryza Sativa.  Rice, 08 (30).  01-24.  ISSN 1939-8425     
document_url: http://oar.icrisat.org/9027/1/s12284-015-0062-5.pdf