Evidence map›Paper›PMID 30285615›Full record

ArticleBMC genomics2018

Transcriptome sequencing of Pinus kesiya var. langbianensis and comparative analysis in the Pinus phylogeny.

You-Jie Zhao, Yong Cao, Juan Wang, Zhi Xiong

Abstract 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Genetic Evaluation and Selection of Growth Traits ofPlants (Basel, Switzerland) · 2026
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  5. Identification and Analysis of theInternational journal of molecular sciences · 2023
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  11. Review
  12. The complete chloroplast genome sequence ofMitochondrial DNA. Part B, Resources · 2019
    Article
  13. 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

4 authors.

You-Jie ZhaoKey Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, 650224, Yunnan, People's Republic of China.
Yong CaoCollege of Big data and Intelligent Engineering, Southwest Forestry University, Kunming, 650224, Yunnan, People's Republic of China.
Juan WangEco-development Academy, Southwest Forestry University, Kunming, 650224, Yunnan, People's Republic of China.
Zhi XiongCollege of Light industry and Food, Southwest Forestry University, Kunming, 650224, Yunnan, People's Republic of China. 30085977@qq.com.

Funding

National Natural Science Foundation 31660029Project of Education Department of Yunnan Province 2015Y287
6 · The paper itself

Abstract

backgroundPines are widely distributed in the Northern Hemisphere and have a long evolutionary history. The availability of transcriptome data has facilitated comparative transcriptomics for studying the evolutionary patterns associated with the different geographical distributions of species in the Pinus phylogeny.

resultsThe transcriptome of Pinus kesiya var. langbianensis was sequenced using the Illumina HiSeq 2000 platform, and a total of 68,881 unigenes were assembled by Trinity. Transcriptome sequences of another 12 conifer species were downloaded from public databases. All of the pairwise orthologues were identified by comparative transcriptome analysis in 13 conifer species, from which the rate of diversification was calculated and a phylogenetic tree inferred. All of the fast-evolving positive selection sequences were identified, and some salt-, drought-, and abscisic acid-resistance genes were discovered.

conclusionsmRNA sequences of P. kesiya var. langbianensis were obtained by transcriptome sequencing, and a large number of simple sequence repeat and short nucleotide polymorphism loci were detected. These data can be used in molecular marker-assisted selected in pine breeding. Divergence times were estimated in the 13 conifer species using comparative transcriptomic analysis. A number of positive selection genes were found to be related to environmental factors. Salt- and abscisic acid-related genes exhibited different selection patterns between coastal and inland Pinus. Our findings help elucidate speciation patterns in the Pinus lineage.

Indexed as

Gene Expression ProfilingPhylogenySequence AnalysisEnvironmentEvolution, MolecularGeographyMicrosatellite RepeatsPinusPolymorphism, Single NucleotideSequence Homology, Nucleic AcidComparative transcriptomicsPinus kesiya var. langbianensisPinus phylogenyTranscriptome sequencing

Identifiers

PMID30285615
PMCPMC6171231

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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.