Evidence map›Paper›PMID 41538056›Full record

ReviewAntonie van Leeuwenhoek2026

DNA barcoding and phylogenomics in mushrooms: current progress, challenges, and future prospects.

Umer Rehman, Mehreen Sarfraz, Fouzia Bibi, Atika Noor, Mohsin Ullah, Entaj Tarafder, Zabta Khan Shinwari

Abstract readReview
PubMed Publisher
In one paragraph

Review in Antonie van Leeuwenhoek, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Umer RehmanDepartment of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamaabad, 45320, Pakistan. umerrehman1466@gmail.com.
Mehreen SarfrazDepartment of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamaabad, 45320, Pakistan.
Fouzia BibiDepartment of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamaabad, 45320, Pakistan.
Atika NoorDepartment of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamaabad, 45320, Pakistan.
Mohsin UllahDepartment of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamaabad, 45320, Pakistan.
Entaj TarafderCenter for Yunnan Plateau Biological Resources Protection and Utilization & Yunnan International Joint Laboratory of Fungal Sustainable Utilization in South and Southeast Asia, College of Biology and Food Engineering, Qujing Normal University, Qujing, 655099, China.
Zabta Khan ShinwariDepartment of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamaabad, 45320, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mushrooms represent a taxonomically and ecologically diverse group of fungi with profound significance for ecosystems, biotechnology, and human welfare. However, their accurate identification and classification have long been hindered by morphological convergence, cryptic speciation, and limited diagnostic traits. This review synthesizes recent progress in DNA barcoding, phylogenomics, and multi-omics approaches that are reshaping the molecular systematics of mushrooms. The internal transcribed spacer (ITS) region remains the universal fungal barcode, yet its limitations have driven the adoption of multilocus and genome-scale datasets for deeper evolutionary resolution. Advances in high-throughput sequencing (HTS), whole-genome phylogenies, and core-gene frameworks have refined species boundaries and clarified evolutionary trajectories across major fungal lineages. The integration of multi-omics platforms including genomics, transcriptomics, proteomics, and metabolomics has enabled holistic insights into fungal metabolism, adaptation, and ecological functions. Despite these advances, challenges persist, including database inconsistencies, incomplete sampling, and analytical complexities. Addressing these issues through standardized molecular protocols, AI-driven data analytics, and global open-data collaboration will be essential for achieving reproducible and evolutionarily coherent fungal systematics. Ultimately, the convergence of barcoding, phylogenomics, and omics technologies represents a transformative step toward an integrative, data-driven framework for understanding and utilizing fungal diversity in science, sustainability, and innovation.

Indexed as

AgaricalesDNA Barcoding, TaxonomicPhylogenyGenome, FungalGenomicsHigh-Throughput Nucleotide SequencingMultiomicsDNA barcodingFungal systematicsIntegrative taxonomyMulti-omics integrationPhylogenomics

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.