Evidence map›Paper›PMID 34800071›Full record

ArticleThe Plant journal : for cell and molecular biology2022

Genome-wide association identifies candidate genes for drought tolerance in coast redwood and giant sequoia.

Amanda R De La Torre, Manoj K Sekhwal, Daniela Puiu, Steven L Salzberg, Alison D Scott, Brian Allen, David B Neale, Alana R O Chin, Thomas N Buckley

Open access · greenAbstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Spatiotemporal genomic patterns ofForestry research · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Under Stress: Searching for Genes Involved in the Response ofInternational journal of molecular sciences · 2024
    Article
  8. Article
  9. Article
  10. Frontiers in plant science · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Amanda R De La TorreSchool of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA.ORCID 0000-0001-6647-723X
Manoj K SekhwalSchool of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA.
Daniela PuiuDepartment of Biomedical Engineering, Computer Science and Biostatistics & Center for Computational Biology, John Hopkins University, 3100 Wyman Park Dr, Wyman Park Building, Room S220, Baltimore, MD, 21211, USA.
Steven L SalzbergDepartment of Biomedical Engineering, Computer Science and Biostatistics & Center for Computational Biology, John Hopkins University, 3100 Wyman Park Dr, Wyman Park Building, Room S220, Baltimore, MD, 21211, USA.
Alison D ScottDepartment of Plant Sciences, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA.
Brian AllenDepartment of Plant Sciences, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA.
David B NealeDepartment of Plant Sciences, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA.
Alana R O ChinDepartment of Plant Sciences, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA.
Thomas N BuckleyDepartment of Plant Sciences, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA.
University of California, Davis · USNorthern Arizona University · US

Funding

Computational Methods for Genome Assembly, Transcript Assembly, and Variant DiscoveryR01HG006677 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI SALZBERG, STEVEN L. · 2011 to 2025
$10.7M
NHGRI NIH HHS R01 HG006677
6 · The paper itself

Abstract

Drought is a major limitation for survival and growth in plants. With more frequent and severe drought episodes occurring due to climate change, it is imperative to understand the genomic and physiological basis of drought tolerance to be able to predict how species will respond in the future. In this study, univariate and multitrait multivariate genome-wide association study methods were used to identify candidate genes in two iconic and ecosystem-dominating species of the western USA, coast redwood and giant sequoia, using 10 drought-related physiological and anatomical traits and genome-wide sequence-capture single nucleotide polymorphisms. Population-level phenotypic variation was found in carbon isotope discrimination, osmotic pressure at full turgor, xylem hydraulic diameter, and total area of transporting fibers in both species. Our study identified new 78 new marker × trait associations in coast redwood and six in giant sequoia, with genes involved in a range of metabolic, stress, and signaling pathways, among other functions. This study contributes to a better understanding of the genomic basis of drought tolerance in long-generation conifers and helps guide current and future conservation efforts in the species.

Indexed as

Adaptation, PhysiologicalCarbon IsotopesConservation of Natural ResourcesDroughtsGenome, PlantGenome-Wide Association StudyMultifactorial InheritanceOsmotic PressurePhenotypePlant StomataSequoiaSequoiadendronSignal TransductionXylemCarbon Isotopescarbon isotope discriminationdroughtGWASosmotic pressurepolygenic traitsSequoiadendron giganteumSequoia sempervirensstomataxylem

Identifiers

PMID34800071
PMCPMC10773529
OpenAlexW3211514314

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.