Evidence map›Paper›PMID 35944211›Full record

ArticleG3 (Bethesda, Md.)2022

Genomic-environmental associations in wild cranberry (Vaccinium macrocarpon Ait.).

Jeffrey L Neyhart, Michael B Kantar, Juan Zalapa, Nicholi Vorsa

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.6field-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

13 citing papers in PubMed, 18 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Jeffrey L NeyhartUSDA, Agricultural Research Service, Genetic Improvement for Fruits & Vegetables Laboratory, Chatsworth, NJ 08019, USA.ORCID 0000-0002-1991-5310
Michael B KantarDepartment of Tropical Plant and Soil Sciences, University of Hawaii at Manoa, Honolulu, HI 96822, USA.ORCID 0000-0001-5542-0975
Juan ZalapaUSDA, Agricultural Research Service, Vegetable Crops Research Unit, Madison, WI 53706, USA.ORCID 0000-0001-8840-3565
Nicholi VorsaDepartment of Plant Biology, School of Environmental and Biological Sciences, Rutgers University, New Brunswick, NJ 08901, USA.ORCID 0000-0002-7976-3486
Agricultural Research Service · USRutgers, The State University of New Jersey · USUniversity of Hawaiʻi at Mānoa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the genetic basis of local adaptation in natural plant populations, particularly crop wild relatives, may be highly useful for plant breeding. By characterizing genetic variation for adaptation to potentially stressful environmental conditions, breeders can make targeted use of crop wild relatives to develop cultivars for novel or changing environments. This is especially appealing for improving long-lived woody perennial crops such as the American cranberry (Vaccinium macrocarpon Ait.), the cultivation of which is challenged by biotic and abiotic stresses. In this study, we used environmental association analyses in a collection of 111 wild cranberry accessions to identify potentially adaptive genomic regions for a range of bioclimatic and soil conditions. We detected 126 significant associations between SNP marker loci and environmental variables describing temperature, precipitation, and soil attributes. Many of these markers tagged genes with functional annotations strongly suggesting a role in adaptation to biotic or abiotic conditions. Despite relatively low genetic variation in cranberry, our results suggest that local adaptation to divergent environments is indeed present, and the identification of potentially adaptive genetic variation may enable a selective use of this germplasm for breeding more stress-tolerant cultivars.

Indexed as

Vaccinium macrocarponFruitGenomicsPlant BreedingPlant ExtractsSoilPlant ExtractsSoilabiotic stresscranberrycrop wild relativesenvironmental associationlocal adaptation

Identifiers

PMID35944211
PMCPMC9526045
OpenAlexW4292405388

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.