ArticleMethods in molecular biology (Clifton, N.J.)2026
Phytoplasma Detection and Identification: Tools for Their Classification.
Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A summary of the situation for detecting and naming phytoplasmas associated with different diseases in the last 30 years is presented in this chapter. In the last decades, a great amount of research has been devoted to classifying and differentiating these prokaryotes by molecular and bioinformatic tools applied to the analysis of specific phytoplasma genes. The availability of a robust classification system has greatly facilitated phytoplasma identification, leading to increased knowledge of their associated plant diseases worldwide. Scientific knowledge on phytoplasma biology still needs to be improved to allow better and more focused management solutions with minimal impact on the environment to mitigate the severity of these diseases in both agricultural and natural environments, also contributing to reduce the loss of biodiversity.
Indexed as
Identifiers
41528696What OpenQuestion holds
Registered trials
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.