Evidence map›Paper›PMID 35717244›Full record

ArticlePlant methods2022

De novo assembly provides new insights into the evolution of Elaeagnus angustifolia L.

Yunfei Mao, Xueli Cui, Haiyan Wang, Xin Qin, Yangbo Liu, Yijun Yin, Xiafei Su, Juan Tang, Fengling Wang, Fengwang Ma and 9 more

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Interactions at the Oviposition Scar: Molecular and Metabolic Insights intoInternational journal of molecular sciences · 2024
    Article
  3. Article
  4. 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

19 authors at 4 institutions in 2 countries.

Yunfei MaoCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Xueli CuiCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Haiyan WangCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Xin QinCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Yangbo LiuCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Yijun YinCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Xiafei SuCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Juan TangBiomarker Technologies Corporation, Beijing, China.
Fengling WangBiomarker Technologies Corporation, Beijing, China.
Fengwang MaCollege of Horticulture, Northwest Agriculture and Forestry University, Yangling, China.
Naibin DuanGermplasm Resource Center of Shandong Province, Shandong Academy of Agricultural Sciences, Jinan, China.
Donglin ZhangDepartment of Horticulture, University of Georgia, Athens, USA.
Yanli HuCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Wenli WangCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Shaochong WeiCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Xiaoliu ChenCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Zhiquan MaoCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Xuesen ChenCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China.
Xiang ShenCollege of Horticultural Science and Engineering/State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China. shenx@sdau.edu.cn.ORCID http://orcid.org/0000-0003-2471-7420
Shandong Agricultural University · CNNorthwest A&F University · CNShandong Academy of Agricultural Sciences · CNUniversity of Georgia · US

Funding

Fruit innovation team project of Shandong Province (CN) SDAIT-06-07Industrialization project of improved varieties in Shandong Province (CN) 2019LZGC007Natural Science Foundation of Shandong Province ZR2020MC132Project supported by the National Natural Science Foundation of China 32072520
6 · The paper itself

Abstract

backgroundElaeagnus angustifolia L. is a deciduous tree in the family Elaeagnaceae. It is widely used to study abiotic stress tolerance in plants and to improve desertification-affected land because of its ability to withstand diverse types of environmental stress, such as drought, salt, cold, and wind. However, no studies have examined the mechanisms underlying the resistance of E. angustifolia to environmental stress and its adaptive evolution.

methodsHere, we used PacBio, Hi-C, resequencing, and RNA-seq to construct the genome and transcriptome of E. angustifolia and explore its adaptive evolution.

resultsThe reconstructed genome of E. angustifolia was 526.80 Mb, with a contig N50 of 12.60 Mb and estimated divergence time of 84.24 Mya. Gene family expansion and resequencing analyses showed that the evolution of E. angustifolia was closely related to environmental conditions. After exposure to salt stress, GO pathway analysis showed that new genes identified from the transcriptome were related to ATP-binding, metal ion binding, and nucleic acid binding.

conclusionThe genome sequence of E. angustifolia could be used for comparative genomic analyses of Elaeagnaceae family members and could help elucidate the mechanisms underlying the response of E. angustifolia to drought, salt, cold, and wind stress. Generally, these results provide new insights that could be used to improve desertification-affected land.

Indexed as

Desertification-affected landElaeagnus angustifolia L.Evolutionary response mechanismGenome

Identifiers

PMID35717244
PMCPMC9206267
OpenAlexW4283073445

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.