Evidence map›Paper›PMID 30951094›Full record

ArticleThe plant genome2019

Genome-wide Identification and

S Antony Ceasar

Open access · goldAbstract read
In one paragraph

Article in The plant genome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.8field-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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Improvement of millets in the post-genomic era.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Review
  3. Multi-omics intervention inFrontiers in plant science · 2022
    Review
  4. MainstreamingBiodiversity and conservation · 2021
    Review
  5. Article
  6. 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

1 author at 1 institution in 2 countries.

S Antony Ceasar
Department of Biotechnology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Millets are small-seeded cereals predominantly cultivated and consumed by millions of poor people living in developing countries in Asia and Africa. Limited availability of genomic resources hinders studies of nutrient transport in millets. Two species, foxtail millet [ (L.) P. Beauv.] and its wild relative green foxtail [ (L.) P. Beauv.], are considered to be suitable models to study the genomics of other millets. Understanding the nutrient mobilization of millets is essential for improving nutrient use efficiency and biofortification in millets and other cereal crops. Millets are adapted for low-input agriculture, so understanding and improving the phosphate use efficiency of these plants is important because (i) subsistence farmers cannot afford to buy expensive phosphate fertilizers and (ii) the phosphate rock used for phosphate fertilizer production is depleting quickly. In this minireview, I discuss various studies on nutrient transport in millets and highlight phosphate transport studies. I report the identification and phylogenetic and multiple sequence analyses of 12 PHosphate Transporter1 (PHT1) family genes and proteins of green foxtail for the first time. With the exception of PHT1;5, all other green foxtail PHT1 transporters are closely clustered with foxtail millet PHT1 transporters. The multiple sequence analysis of SvPHT1s revealed that the key residues involved in phosphate and H-binding and transport are well conserved, as in other PHT1 transporters. Efforts need to be undertaken to understand and improve phosphate uptake and utilization in millets to strengthen food security in the developing world.

Indexed as

Genome, PlantComputer SimulationMilletsModels, GeneticNutrientsPhosphate Transport ProteinsPhylogenyPlant ProteinsSetaria PlantNutrientsPhosphate Transport ProteinsPlant Proteins

Identifiers

PMID30951094
PMCPMC12810061
OpenAlexW2901438791

What OpenQuestion holds

Textmetadata
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.