Evidence map›Paper›PMID 36077414›Full record

ArticleInternational journal of molecular sciences2022

Genome-Wide Identification and Expression Analysis of the

Fei He, Lixia Zhang, Guoqing Zhao, Junmei Kang, Ruicai Long, Mingna Li, Qingchuan Yang, Lin Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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
5.0field-weighted citation impact, top 3% 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, 27 citations in OpenAlex.

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  13. Genome-Wide Identification and Phylogenetic and Expression Analyses of theInternational journal of molecular sciences · 2023
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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 2 institutions in 1 country.

Fei HeInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0003-1365-5359
Lixia ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Guoqing ZhaoInstitute of Forage Crop Science, Ordos Academy of Agricultural and Animal Husbandry Sciences, Ordos 017000, China.
Junmei KangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Ruicai LongInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Mingna LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0002-4658-9063
Qingchuan YangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Lin ChenInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0002-7036-151X
Chinese Academy of Agricultural Sciences · CNAnhui Academy of Agricultural Sciences · CN

Funding

the Agricultural Science and Technology Innovation Program ASTIP No. CAAS-ZDRW202201the Central Public-interest Scientific Institution Basal Research Fund No. 2022-YWF-ZYSQ-04the Innovation Program of CAAS ASTIP-IAS14the Ordos Science & Technology Plan 2022EEDSKJZDZX011
6 · The paper itself

Abstract

NAC (NAM, ATAF1/2, and CUC2) transcription factors compose one of the largest families of plant-specific transcription factors; they are widely involved in plant growth and development and have especially important roles in improving stress resistance in plants. However, NAC gene family members in alfalfa (Medicago sativa L.) have not been systematically identified and analyzed genome-wide due to the complexity of the alfalfa reference genome. In this study, a total of 421 M. sativa NAC genes (MsNACs) were identified from the alfalfa “Xinjiangdaye” reference genome. Basic bioinformatics analysis, including characterization of sequence length, protein molecular weight and genome position and conserved motif analysis, was conducted. Expression analysis showed that 47 MsNACs had tissue-specific expression, and 64 MsNACs were expressed in all tissues. The transcriptomic profiles of the genes were very different, indicating that these MsNACs have various functions in alfalfa growth and development. We identified 25, 42 and 47 MsNACs that respond to cold, drought and salt stress based on transcriptome data analysis and real-time quantitative PCR (RT−qPCR). Furthermore, 22 MsNACs were found to respond to both salt and drought stress, and 15 MsNACs were found to respond to cold, salt and drought stress. The results of this study could provide valuable information for further functional analysis of MsNACs and for the improvement of stress resistance in alfalfa.

Indexed as

Gene Expression Regulation, PlantMedicago sativaDroughtsGene Expression ProfilingPhylogenyPlant ProteinsStress, PhysiologicalTranscription FactorsPlant ProteinsTranscription Factorsabiotic stressalfalfagene familygenome-wideMsNAC

Identifiers

PMID36077414
PMCPMC9456191
OpenAlexW4294740812

What OpenQuestion holds

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LicenceCC BY
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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.