Evidence map›Paper›PMID 39088091›Full record

ArticleAntonie van Leeuwenhoek2024

Additional new species of Xenodidymella from pasture-medicinal plants in Iran.

Maryam Karimi, Mehdi Mehrabi-Koushki, Reza Farokhinejad, Siamak Beigi

Abstract read
PubMed Publisher
In one paragraph

Article in Antonie van Leeuwenhoek, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Maryam KarimiDepartment of Plant Protection, Faculty of Agriculture, Shahid Chamran University of Ahvaz, Ahvaz, Khuzestan Province, Iran.
Mehdi Mehrabi-KoushkiDepartment of Plant Protection, Faculty of Agriculture, Shahid Chamran University of Ahvaz, Ahvaz, Khuzestan Province, Iran. mhdmhrb@scu.ac.ir.
Reza FarokhinejadDepartment of Plant Protection, Faculty of Agriculture, Shahid Chamran University of Ahvaz, Ahvaz, Khuzestan Province, Iran.
Siamak BeigiAgricultural Jihad of Ilam, Ilam, Ilam Province, Iran.

Funding

Shahid Chamran University of Ahvaz SCU.AP1403.294
6 · The paper itself

Abstract

Xenodidymella species have a wide range of hosts and can be found as pathogens and saprobes. In this study, two new species of Xenodidymella were found from leaf diseases of three pasture-medicinal plants in Ilam Province, in the west of Iran, and proposed here as X. ilamica and X. scandicis spp. nov. These species were identified based on morphological features and phylogenetic analyses of the internal transcribed spacer regions 1 & 2 and 5.8S nrDNA (ITS), partial beta-tubulin gene (tub2), and partial RNA polymerase II second largest subunit (rpb2) gene. The four Xenodidymella strains isolated in this study were delimited into two sister clades, with the two isolates of X. ilamica from the leaf spot of Colchicum speciosum and Ficaria kochii and two isolates of X. scandicis from leaf blight of Scandix pecten-veneris. Morphologically, X. scandicis produces larger, ostiolate or poroid pycnidia in vitro, while pycnidia in the cultures of X. ilamica are non-ostiolate and smaller. Some pycnidia in old cultures of X. scandicis produce a neck, but a distinct neck in X. ilamica has not been observed. Moreover, three plants under study are new hosts for the genus Xenodidymella.

Indexed as

PhylogenyTubulinDNA, FungalDNA, Ribosomal SpacerIranPlant DiseasesPlant LeavesPlants, MedicinalRNA Polymerase IISequence Analysis, DNADNA, FungalDNA, Ribosomal SpacerRNA Polymerase IITubulinFungiIlam provinceMorphologyNew speciesPhylogenetic analyses

Identifiers

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.