Evidence map›Paper›PMID 25287394›Full record

ArticleBMC genomics2014

Transcriptomic analysis of a psammophyte food crop, sand rice (Agriophyllum squarrosum) and identification of candidate genes essential for sand dune adaptation.

Pengshan Zhao, Salvador Capella-Gutiérrez, Yong Shi, Xin Zhao, Guoxiong Chen, Toni Gabaldón, Xiao-Fei Ma

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 36 citations in OpenAlex.

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  10. Genomic Adaptive Evolution of Sand Rice (Frontiers in genetics · 2021
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  11. Strengthening desert plant biotechnology research in the United Arab Emirates: a viewpoint.Physiology and molecular biology of plants : an international journal of functional plant biology · 2018
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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

7 authors at 2 institutions in 2 countries.

Pengshan ZhaoKey Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Gansu Province, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, People's Republic of China. zhaopengshan@lzb.ac.cn.
Salvador Capella-GutiérrezBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader, 88, 08003, Barcelona, Spain. scapella@crg.eu.
Yong ShiKey Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Gansu Province, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, People's Republic of China. shiy05@gmail.com.
Xin ZhaoKey Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Gansu Province, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, People's Republic of China. zhaox@lzb.ac.cn.
Guoxiong ChenKey Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Gansu Province, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, People's Republic of China. guoxiong@lzb.ac.cn.
Toni GabaldónBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader, 88, 08003, Barcelona, Spain. toni.gabaldon@crg.eu.
Xiao-Fei MaKey Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Gansu Province, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, People's Republic of China. maxiaofei@lzb.ac.cn.
Chinese Academy of Sciences · CNPompeu Fabra University · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSand rice (Agriophyllum squarrosum) is an annual desert plant adapted to mobile sand dunes in arid and semi-arid regions of Central Asia. The sand rice seeds have excellent nutrition value and have been historically consumed by local populations in the desert regions of northwest China. Sand rice is a potential food crop resilient to ongoing climate change; however, partly due to the scarcity of genetic information, this species has undergone only little agronomic modifications through classical breeding during recent years.

resultsWe generated a deep transcriptomic sequencing of sand rice, which uncovers 67,741 unigenes. Phylogenetic analysis based on 221 single-copy genes showed close relationship between sand rice and the recently domesticated crop sugar beet. Transcriptomic comparisons also showed a high level of global sequence conservation between these two species. Conservation of sand rice and sugar beet orthologs assigned to response to salt stress gene ontology term suggests that sand rice is also a potential salt tolerant plant. Furthermore, sand rice is far more tolerant to high temperature. A set of genes likely relevant for resistance to heat stress, was functionally annotated according to expression levels, sequence annotation, and comparisons corresponding transcriptome profiling results in Arabidopsis.

conclusionsThe present work provides abundant genomic information for functional dissection of the important traits in sand rice. Future screening the genetic variation among different ecotypes and constructing a draft genome sequence will further facilitate agronomic trait improvement and final domestication of sand rice.

Indexed as

Adaptation, PhysiologicalCrops, AgriculturalFoodGene Expression ProfilingAmaranthaceaeClimate ChangeFood SupplyGenes, PlantHot TemperatureMolecular Sequence Annotation

Identifiers

PMID25287394
PMCPMC4459065
OpenAlexW1999344096

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.