Evidence map›Paper›PMID 35722506›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2022

Genome-wide identification and development of InDel markers in tobacco (

Haiyang Li, Muhammad Ikram, Yanshi Xia, Ronghua Li, Qinghua Yuan, Weicai Zhao, Kadambot H M Siddique, Peiguo Guo

Open access · bronzeAbstract read
In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

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

8 authors at 4 institutions in 2 countries.

Haiyang LiGuangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, International Crop Research Center for Stress Resistance, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China.
Muhammad IkramGuangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, International Crop Research Center for Stress Resistance, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China.
Yanshi XiaGuangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, International Crop Research Center for Stress Resistance, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China.
Ronghua LiGuangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, International Crop Research Center for Stress Resistance, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China.
Qinghua YuanGuangdong Provincial Engineering & Technology Research Center for Tobacco Breeding and Comprehensive Utilization, Guangdong Key Laboratory for Crops Genetic Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences (GAAS), Guangzhou, 510640 China.
Weicai ZhaoNanxiong Research Institutes of Guangdong Tobacco Co. Ltd, Nanxiong, 512400 China.
Kadambot H M SiddiqueThe UWA Institute of Agriculture and School of Agriculture & Environment, The University of Western Australia, Perth, WA 6001 Australia.
Peiguo GuoGuangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, International Crop Research Center for Stress Resistance, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China.
Guangzhou University · CNGuangdong Academy of Agricultural Sciences · CNTobacco Research Institute · CNUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insertions and deletions (InDels) can be used as molecular markers in genetic studies and marker-assisted selection breeding. However, genetic improvement in tobacco has been hindered by limited genetic diversity information and relatedness within available germplasm. A Chinese tobacco variety, Yueyan-98, was resequenced using restriction-site associated DNA (RAD-seq) approach to develop InDel markers. In total, 32,884 InDel loci were detected between Yueyan-98 and the K326 reference sequence [18,598 (56.55%) deletions and 14,288 (43.45%) insertions], ranging from 1 to 62 bp in length. Of the 6,733 InDels (> 4 bp) that were suitable for polyacrylamide gel electrophoresis, 150 were randomly selected. These 150 InDels were unevenly distributed on 23 chromosomes, and the highest numbers of InDels were observed on chromosomes Nt05, Nt13, and Nt23. The average density of adjacent InDels was 19.36 Mb. Thirty-seven InDels were located in genic regions. Polymerase chain reaction (PCR)-based markers were developed to validate polymorphism; 113 (79.80%) of the 150 InDel markers showed polymorphism and were further used for genetic diversity analysis of 50 tobacco accessions (13 from China, 1 from Mexico, and 36 from the USA). The average expected heterozygosity (He) and polymorphism information content (PIC) values were 0.28 ± 0.16 and 0.38 ± 0.10, respectively. The average Shannon diversity index (I) was 0.34 ± 0.18, with genetic diversity ranging from 0.13-0.57. The 50 accessions were classified into two groups with a genetic similarity coefficient of 0.68. Principal coordinate analysis (PCoA) and population structure analysis showed similar results and divided the population into two groups unrelated to their geographical origins. AMOVA showed 4% variance among the population and the remaining 96% within the population, suggesting low genetic differentiation between two subpopulations. Furthermore, 10 InDels (19 alleles) were significantly identified for tobacco plant height using GLM+Q model at Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-022-01187-3.

Indexed as

Genetic diversityInDel markersPopulation structureRAD-seqTobacco

Identifiers

PMID35722506
PMCPMC9203652
OpenAlexW4281716040

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.