Evidence map›Paper›PMID 22711305›Full record

ArticleMolecular biology reports2012

Genome-wide analysis and identification of HAK potassium transporter gene family in maize (Zea mays L.).

Zhongbao Zhang, Jiewei Zhang, Yajuan Chen, Ruifen Li, Hongzhi Wang, Jianhua Wei

Abstract read
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In one paragraph

Article in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
3.2field-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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 115 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

6 authors at 1 institution in 1 country.

Zhongbao ZhangBeijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China. happyzzb@126.com
Jiewei Zhang
Yajuan Chen
Ruifen Li
Hongzhi Wang
Jianhua Wei
Beijing Academy of Agricultural and Forestry Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high-affinity K(+) (HAK) transporter gene family constitutes the largest family that functions as potassium transporter in plant and is important for various cellular processes of plant life. In spite of their physiological importance, systematic analyses of ZmHAK genes have not yet been investigated. In this paper, we indicated the isolation and characterization of ZmHAK genes in whole-genome wide by using bioinformatics methods. A total of 27 members (ZmHAK1-ZmHAK27) of this family were identified in maize genome. ZmHAK genes were distributed in all the maize 10 chromosomes. These genes expanded in the maize genome partly due to tandem and segmental duplication events. Multiple alignment and motif display results revealed major maize ZmHAK proteins share all the three conserved domains. Phylogenetic analysis indicated ZmHAK family can be divided into six subfamilies. Putative cis-elements involved in Ca(2+) response, abiotic stress adaption, light and circadian rhythms regulation and seed development were observed in the promoters of ZmHAK genes. Expression data mining suggested maize ZmHAK genes have temporal and spatial expression pattern. In all, these results will provide molecular insights into the potassium transporter research in maize.

Indexed as

Amino Acid MotifsCation Transport ProteinsChromosome MappingComputational BiologyGene DuplicationGene Expression ProfilingGene Expression Regulation, PlantGene OrderGenome, PlantMultigene FamilyPhylogenyPlant ProteinsPotassiumRegulatory Sequences, Nucleic AcidZea maysCation Transport ProteinsPlant ProteinsPotassium

Identifiers

PMID22711305
OpenAlexW2160128250

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.