Evidence map›Paper›PMID 27495254›Full record

ArticleBMC genomics2016

Genome wide characterization of simple sequence repeats in watermelon genome and their application in comparative mapping and genetic diversity analysis.

Huayu Zhu, Pengyao Song, Dal-Hoe Koo, Luqin Guo, Yanman Li, Shouru Sun, Yiqun Weng, Luming Yang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

35 citing papers in PubMed, 107 citations in OpenAlex.

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  16. The branchless gene Clbl in watermelon encoding a TERMINAL FLOWER 1 protein regulates the number of lateral branches.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
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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 3 institutions in 2 countries.

Huayu ZhuCollege of Horticulture, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, China.
Pengyao SongCollege of Horticulture, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, China.
Dal-Hoe KooHorticulture Department, University of Wisconsin, Madison, WI, 53706, USA.
Luqin GuoCollege of Horticulture, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, China.
Yanman LiCollege of Horticulture, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, China.
Shouru SunCollege of Horticulture, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, China.
Yiqun WengHorticulture Department, University of Wisconsin, Madison, WI, 53706, USA. weng4@wisc.edu.
Luming YangCollege of Horticulture, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, China. ylmhort@163.com.ORCID 0000-0002-4505-5414
Henan Agricultural University · CNUniversity of Wisconsin–Madison · USUniversity of Wisconsin System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrosatellite markers are one of the most informative and versatile DNA-based markers used in plant genetic research, but their development has traditionally been difficult and costly. The whole genome sequencing with next-generation sequencing (NGS) technologies provides large amounts of sequence data to develop numerous microsatellite markers at whole genome scale. SSR markers have great advantage in cross-species comparisons and allow investigation of karyotype and genome evolution through highly efficient computation approaches such as in silico PCR. Here we described genome wide development and characterization of SSR markers in the watermelon (Citrullus lanatus) genome, which were then use in comparative analysis with two other important crop species in the Cucurbitaceae family: cucumber (Cucumis sativus L.) and melon (Cucumis melo L.). We further applied these markers in evaluating the genetic diversity and population structure in watermelon germplasm collections.

resultsA total of 39,523 microsatellite loci were identified from the watermelon draft genome with an overall density of 111 SSRs/Mbp, and 32,869 SSR primers were designed with suitable flanking sequences. The dinucleotide SSRs were the most common type representing 34.09 % of the total SSR loci and the AT-rich motifs were the most abundant in all nucleotide repeat types. In silico PCR analysis identified 832 and 925 SSR markers with each having a single amplicon in the cucumber and melon draft genome, respectively. Comparative analysis with these cross-species SSR markers revealed complicated mosaic patterns of syntenic blocks among the genomes of three species. In addition, genetic diversity analysis of 134 watermelon accessions with 32 highly informative SSR loci placed these lines into two groups with all accessions of C.lanatus var. citorides and three accessions of C. colocynthis clustered in one group and all accessions of C. lanatus var. lanatus and the remaining accessions of C. colocynthis clustered in another group. Furthermore, structure analysis was consistent with the dendrogram indicating the 134 watermelon accessions were classified into two populations.

conclusionThe large number of genome wide SSR markers developed herein from the watermelon genome provides a valuable resource for genetic map construction, QTL exploration, map-based gene cloning and marker-assisted selection in watermelon which has a very narrow genetic base and extremely low polymorphism among cultivated lines. Furthermore, the cross-species transferable SSR markers identified herein should also have practical uses in many applications in species of Cucurbitaceae family whose whole genome sequences are not yet available.

Indexed as

Chromosome MappingGenetic VariationGenome, PlantGenome-Wide Association StudyMicrosatellite RepeatsCitrullusCucurbitaceaeGene FrequencyGenomicsPhylogenySyntenyComparative genomicsCucurbitsGenetic diversitySSRSyntenyWatermelon

Identifiers

PMID27495254
PMCPMC4974753
OpenAlexW2504158117

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.