Evidence map›Paper›PMID 35535627›Full record

ArticleThe plant genome2022

Genome-wide identification and characterization of the MAPKKK, MKK, and MPK families in Chinese elite maize inbred line Huangzaosi.

Zi Shi, Bingbing Zhao, Wei Song, Ya Liu, Miaoyi Zhou, Jiarong Wang, Jiuran Zhao, Wen Ren

Open access · goldAbstract read
In one paragraph

Article in The plant genome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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 1 institution in 1 country.

Zi ShiBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Institute, Beijing Academy of Agriculture & Forestry Sciences, No. 9 Shuguang Garden Middle Road, Beijing, 100097, China.ORCID 0000-0002-8147-8879
Bingbing ZhaoBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Institute, Beijing Academy of Agriculture & Forestry Sciences, No. 9 Shuguang Garden Middle Road, Beijing, 100097, China.
Wei SongBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Institute, Beijing Academy of Agriculture & Forestry Sciences, No. 9 Shuguang Garden Middle Road, Beijing, 100097, China.
Ya LiuBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Institute, Beijing Academy of Agriculture & Forestry Sciences, No. 9 Shuguang Garden Middle Road, Beijing, 100097, China.
Miaoyi ZhouBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Institute, Beijing Academy of Agriculture & Forestry Sciences, No. 9 Shuguang Garden Middle Road, Beijing, 100097, China.
Jiarong WangBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Institute, Beijing Academy of Agriculture & Forestry Sciences, No. 9 Shuguang Garden Middle Road, Beijing, 100097, China.
Jiuran ZhaoBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Institute, Beijing Academy of Agriculture & Forestry Sciences, No. 9 Shuguang Garden Middle Road, Beijing, 100097, China.
Wen RenBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Institute, Beijing Academy of Agriculture & Forestry Sciences, No. 9 Shuguang Garden Middle Road, Beijing, 100097, China.ORCID 0000-0003-1698-6161
Beijing Academy of Agricultural and Forestry Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitogen-activated protein kinase (MAPK or MPK) cascades consist of three protein kinase components, MAPK kinase kinases (MAPKKKs), MAPK kinases (MKKs and MPKs), which are indispensable for various plant physiological processes. The functions of MAPK families have been extensively studied in maize (Zea mays L.) and other plant species, but little is known about MAPK families in the elite Chinese maize line Huangzaosi (hzs). In this study, we observed that overall performance of Huangzaosi was substantially better than that of B73 under drought conditions at the seedling and V16 stages with a favorable root/canopy ratio. In silico analyses identified 72, 10, and 24 MAPKKKs, MKKs, and MPKs, respectively, in Huangzaosi. Examinations of phylogenetic relationships among Arabidopsis thaliana (L.) Heynh., rice (Oryza sativa L.), and maize (lines B73 and hzs), gene structures, conserved protein motifs, and chromosomal locations revealed their evolutionary relationships. The basal gene expression levels and tissue specificities of all three MAPK families in hzs reflected the diversity in the MAPK functions related to growth and development. The quantitative real-time polymerase chain reaction (qPCR) assay indicated that certain MAPK genes with high basal expression levels in the primary and crown roots responded differentially to drought between B73 and hzs, suggesting that these genes may contribute to their distinct drought tolerance at different developmental stages. The important information regarding the evolution and expression of hzs MAPK family members generated in this study provides a new avenue for the better understanding on the regulatory mechanism of MAPK cascade in the core inbred line hzs, which may be useful to guide the development of new maize cultivars with desirable traits (e.g., drought resistance).

Indexed as

OryzaZea maysChinaMAP Kinase Kinase KinasesMitogen-Activated Protein Kinase KinasesMitogen-Activated Protein KinasesPhylogenyMAP Kinase Kinase KinasesMitogen-Activated Protein Kinase KinasesMitogen-Activated Protein Kinases

Identifiers

PMID35535627
PMCPMC12807117
OpenAlexW4280610376

What OpenQuestion holds

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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.