Evidence map›Paper›PMID 31544784›Full record

ArticleJournal of genetics2019

Genetic diversity of Indo-China rice varieties using ISSR, SRAP and InDel markers.

Pattaraborn Moonsap, Nutthalak Laksanavilat, Sittipun Sinumporn, Piyama Tasanasuwan, Sureeporn Kate-Ngam, Chatchawan Jantasuriyarat

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Article in Journal of genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Pattaraborn MoonsapFaculty of Science, Department of Genetics, Kasetsart University, 50 Ngam, Wong Wan Rd., Ladyaw, Chatuchak, Bangkok 10900, Thailand. fscicwj@ku.ac.th.
Nutthalak Laksanavilat
Sittipun Sinumporn
Piyama Tasanasuwan
Sureeporn Kate-Ngam
Chatchawan Jantasuriyarat

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is believed to have originated from Indo-China, area between China and India, and then spread throughout the world. The Indochina region mainly includes countries like Thailand, Laos and Vietnam, which are the world's major rice exporters. Rice varieties grown in this area are highly diverse due to their different environment, ecosystem and climatic conditions. The objective of this study was to evaluate the genetic relationship of Indochina rice varieties using intersimple sequence repeat (ISSR), sequence-related amplified polymorphism (SRAP) and insertion-deletion (InDel) markers. Forty-six rice varieties, including 16, 4,11 and 15 from Thailand, China, Laos and Vietnam, respectively were used in this study. Seventeen of the 20 ISSR primers showed 82.96% polymorphism. At the same time, 17 of the 30 primer pairs of SRAP marker showed clear DNA amplification, which resulted in 84.79% polymorphism. Ninety-seven of 133 InDel markers have about 99.47% polymorphism. Three markers showed average PIC score ranging from 0.20 to 0.26. When the analysis was conducted using UPGMA clustering method, it was found that the combined data from three markers gave a better result than each marker separately. The results from clustering analysis showed that all accessions can be grouped based on their location and can be categorized into two major groups. Useful results from this study could bring substantial benefits and ultimately help the rice breeders to develop elite rice varieties in future.

Indexed as

Polymorphism, GeneticChinaCluster AnalysisGenetic MarkersINDEL MutationIndiaOryzaPhylogenyRepetitive Sequences, Nucleic AcidThailandVietnamGenetic Markers

Identifiers

PMID31544784

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