ReviewPlant biotechnology journal2024
Soybean-Phakopsora pachyrhizi interactions: towards the development of next-generation disease-resistant plants.
Review in Plant biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed, 20 citations in OpenAlex.
- Dissection of local haplotype diversity at soybean rust loci reveals resistance-associated and context-dependent variation patterns in diverse germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Integrative multi-omics analysis reveals stress-specific molecular architectures in soybean under drought and rust infection.BMC genomics · 2026Article
- Population structure and genetic diversity of Phakopsora pachyrhizi in the Southeastern United States.G3 (Bethesda, Md.) · 2026Article
- Climate stressor projections inform adaptation needs in South Asian oilseed systems.NPJ sustainable agriculture · 2026Article
- Temporal proteomic profiling via 4D-DIA reveals early defense mechanisms and core resistance determinants in soybean against Phakopsora pachyrhizi.Stress biology · 2025Article
- Ultrastructural Examination of the Fungus-To-Fungus Interactions ofPlant-environment interactions (Hoboken, N.J.) · 2025Article
- Phyllosphere Arthropods Facilitate Secondary Dispersal of Putative MycoparasiteMicroorganisms · 2025Article
- Spatial and single-cell transcriptomics capture two distinct cell states in soybean defense response toFrontiers in plant science · 2025Article
- Integrative identification of key genes governingFrontiers in plant science · 2025Article
- Variability and functional characterization of the Phakopsora pachyrhizi Egh16-like effectors.Genetics and molecular biology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Soybean rust (SBR), caused by the obligate biotrophic fungus Phakopsora pachyrhizi, is a devastating foliar disease threatening soybean production. To date, no commercial cultivars conferring durable resistance to SBR are available. The development of long-lasting SBR resistance has been hindered by the lack of understanding of this complex pathosystem, encompassing challenges posed by intricate genetic structures in both the host and pathogen, leading to a gap in the knowledge of gene-for-gene interactions between soybean and P. pachyrhizi. In this review, we focus on recent advancements and emerging technologies that can be used to improve our understanding of the P. pachyrhizi-soybean molecular interactions. We further explore approaches used to combat SBR, including conventional breeding, transgenic approaches and RNA interference, and how advances in our understanding of plant immune networks, the availability of new molecular tools, and the recent sequencing of the P. pachyrhizi genome could be used to aid in the development of better genetic resistance against SBR. Lastly, we discuss the research gaps of this pathosystem and how new technologies can be used to shed light on these questions and to develop durable next-generation SBR-resistant soybean plants.
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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.