Genome-wide association study and transcriptomics reveal the genetic architecture of alkalinity tolerance in Arabidopsis thaliana

preprint OA: closed
Full text JSON View at publisher
AI-generated deep summary by claude@2026-06, 2026-06-24 · read from full text

The paper investigates the genetic and transcriptional basis of alkalinity tolerance in Arabidopsis by conducting a genome-wide association study in 218 natural ecotypes, using relative root length under hydroponic NaHCO3 at pH 8.0, and then integrating gene expression and protein polymorphism data. It reports 73 associated SNPs with peaks near genes implicated in lipid metabolism, protein degradation, and vesicle-mediated protein sorting, and it validates roles for specific genes using T-DNA mutants, including alkaline hypersensitivity phenotypes for GGL20, AT3G17570, and the chromatin-modifying gene AFR1, while ETG1 mutants show increased tolerance. Transcriptome and network analyses indicate that alkalinity responses significantly overlap with iron deficiency pathways and highlight hub genes involved in ribosome assembly and translation control. The study’s main limitation is that tolerance is assayed in Arabidopsis using defined alkalinity conditions and root-length readouts rather than directly modeling human pelvic disease biology. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Full text 1,575 characters · extracted from oa-doi-fallback · click to expand
Abstract Alkalinity stress significantly restricts global plant productivity, yet the genetic basis for plant tolerance remains largely uncharacterized. In this study, a genome-wide association study was performed using 218 diverse natural Arabidopsis thaliana ecotypes to identify the top 73 SNPs associated with alkalinity tolerance, measured by relative root length in hydroponic growth media containing NaHCO3 at pH 8.0. Prominent association peaks were localized near genes involved in lipid metabolism (GGL20), protein degradation (AT3G17570), and vesicle-mediated protein sorting (VPS13B and AT5G57210). Expression level and protein polymorphisms in these genes were associated with alkalinity tolerance. T-DNA mutants of GGL20, AT3G17570, and the chromatin-modifying gene AFR1 showed alkaline hypersensitivity, reduced root length, iron content, and rosette size, and elevated hydrogen peroxide. Conversely, mutants of the DNA repair gene ETG1 exhibited greater tolerance than wild type in hydroponics, solid media, and soil assays, confirming their role in alkalinity tolerance. Transcriptome and network analyses revealed that alkalinity responses significantly overlap with iron deficiency pathways, identifying hub genes involved in ribosome assembly and translation control. These findings provide a comprehensive map of the genetic and transcriptional landscape of alkalinity adaptation and offer promising candidate genes for engineering crops resilient to alkaline soil conditions. Competing Interest Statement The authors have declared no competing interest.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00