Evidence map›Paper›PMID 30526480›Full record

ArticleBMC genomics2018

Microsatellite development from genome skimming and transcriptome sequencing: comparison of strategies and lessons from frog species.

Yun Xia, Wei Luo, Siqi Yuan, Yuchi Zheng, Xiaomao Zeng

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

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

15 citing papers in PubMed, 24 citations in OpenAlex.

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  10. Genome skimming-based simple sequence repeat (SSR) marker discovery and characterization inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  11. Article
  12. Article
  13. The mitochondrial genome of broad-folded frog (Mitochondrial DNA. Part B, Resources · 2019
    Article
  14. Article
  15. Article
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

5 authors at 1 institution in 1 country.

Yun XiaChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.
Wei LuoChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.
Siqi YuanChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.
Yuchi ZhengChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.
Xiaomao ZengChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China. zengxm@cib.ac.cn.ORCID http://orcid.org/0000-0002-1952-2170
Chinese Academy of Sciences · CN

Funding

China Postdoctoral Science Foundation 2014 M552386National Key Programme of Research and Development, Ministry of Science and Technology 2017YFC0505202National Natural Science Foundation of China NSFC-31401960National Natural Science Foundation of China NSFC-31572241National Natural Science Foundation of China NSFC-31572243
6 · The paper itself

Abstract

backgroundEven though microsatellite loci frequently have been isolated using recently developed next-generation sequencing (NGS) techniques, this task is still difficult because of the subsequent polymorphism screening requires a substantial amount of time. Selecting appropriate polymorphic microsatellites is a critical issue for ecological and evolutionary studies. However, the extent to which assembly strategy, read length, sequencing depth, and library layout produce a measurable effect on microsatellite marker development remains unclear. Here, we use six frog species for genome skimming and two frog species for transcriptome sequencing to develop microsatellite markers, and investigate the effect of different isolation strategies on the yield of microsatellites.

resultsThe results revealed that the number of isolated microsatellites increases with increased data quantity and read length. Assembly strategy could influence the yield and the polymorphism of microsatellite development. Larger k-mer sizes produced fewer total number of microsatellite loci, but these loci had a longer repeat length, suggesting greater polymorphism. However, the proportion of each type of nucleotide repeats was not affected; dinucleotide repeats were always the dominant type. Finally, the transcriptomic microsatellites displayed lower levels of polymorphisms and were less abundant than genomic microsatellites, but more likely to be functionally linked loci.

conclusionsThese observations provide deep insight into the evolution and distribution of microsatellites and how different isolation strategies affect microsatellite development using NGS.

Indexed as

GenomeAnimalsAnuraComputer SimulationGenetic LociHigh-Throughput Nucleotide SequencingMicrosatellite RepeatsPolymorphism, GeneticTranscriptomeAmphibiansGenome assemblyMiSeqNext-generation sequencingPopulation geneticsTranscriptome

Identifiers

PMID30526480
PMCPMC6286531
OpenAlexW2904889913

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.