Evidence map›Paper›PMID 32742299›Full record

ArticlePlant methods2020

A cost-effective barcode system for maize genetic discrimination based on bi-allelic InDel markers.

Shuaiqiang Liang, Feng Lin, Yiliang Qian, Tifu Zhang, Yibo Wu, Yaocheng Qi, Sihai Ren, Long Ruan, Han Zhao

Abstract read
In one paragraph

Article in Plant methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Genome-wide identification and development of InDel markers in tobacco (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shuaiqiang Liang *Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Feng Lin *Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Yiliang Qian *Anhui Academy of Agricultural Sciences, Hefei, China.
Tifu ZhangProvincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Yibo WuProvincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Yaocheng QiAnhui Academy of Agricultural Sciences, Hefei, China.
Sihai RenAnhui Academy of Agricultural Sciences, Hefei, China.
Long RuanAnhui Academy of Agricultural Sciences, Hefei, China.
Han ZhaoProvincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaize is one of the most important cereal crop all over the world with a complex genome of about 2.3 gigabase, and exhibits tremendous phenotypic and molecular diversity among different germplasms. Along with the phenotype identification, molecular markers have been accepted extensively as an alternative tool to discriminate different genotypes.

resultsBy using previous re-sequencing data of 205 lines, bi-allelic insertions and deletions (InDels) all over maize genome were screened, and a barcode system was constructed consisting of 37 bi-allelic insertion-deletion markers with high polymorphism information content (PIC) values, large discriminative size among varieties. The barcode system was measured and determined, different maize hybrids and inbreds were clearly discriminated efficiently with these markers, and hybrids responding parents were accurately determined. Compared with microarray data of more than 200 maize lines, the barcode system can discriminate maize varieties with 1.57% of different loci as a threshold. The barcode system can be used in standardized easy and quick operation with very low cost and minimum equipment requirements.

conclusionA barcode system was constructed for genetic discrimination of maize lines, including 37 InDel markers with high PIC values and user-friendly. The barcode system was measured and determined for efficient identification of maize lines.

Indexed as

Barcode systemGenetic discriminationInDel markerMaize

Identifiers

PMID32742299
PMCPMC7391534

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