Evidence map›Paper›PMID 33501729›Full record

ArticleMolecular ecology resources2021

New model species for arctic-alpine plant molecular ecology.

Tanja Pyhäjärvi, Tiina M Mattila

Open access · bronzeAbstract readNewsComment
PubMed Publisher
In one paragraph

Article in Molecular ecology resources, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Tanja PyhäjärviDepartment of Forest Sciences, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-6958-5172
Tiina M MattilaDepartment of Organismal Biology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-1298-7370
University of Helsinki · FIUppsala University · SE

Funding

The Wenner-Gren Foundation F2020-0008
6 · The paper itself

Abstract

Arctic and alpine, high latitude and high elevation environments are one of the most stressful environments for species to inhabit. This harshness manifests itself in lower species richness in comparison to more southern vegetation zones (Francis & Currie, 2003). Furthermore, the climatic oscillations-past and predicted-have the most dramatic effect on these ecosystems. For example, in regions of continental ice sheets-the northernmost part of Western Europe and North America-the Arctic species assemblages are no older than a few thousands of years, which is a relatively short period from an evolutionary perspective. Although similar environments may have existed further south during the Ice Age, allowing some preadaptation for the Arctic species, the current habitat is a unique combination of environmental factors such as the climate, soil, bedrock, and photoperiod. Hence, understanding the evolutionary forces shaping Arctic-alpine species will be important for predicting these vulnerable environments' population viability and adaptive potential in the future. In this issue of Molecular Ecology Resources, Nowak et al. (Molecular Ecology Resources) present extensive genome-wide resources for an Arctic-alpine plant Draba nivalis. This adds a valuable new member into the cabbage family models for evolutionary genetics and adaptation studies, to accompany e.g., Arabidopsis (Nature Genetics, 43, 476; Nature, 408, 796), Arabis (Nature Plants, 1, 14023) and Capsella (Nature Genetics, 45, 831). A whole new avenue will open up for molecular ecological studies not only for D. nivalis, but the whole large Draba genus with its diverse ecological and evolutionary characteristics.

Indexed as

BrassicaceaeEcosystemArctic RegionsBiological EvolutionEuropeadaptationArctic-alpineBrassicaceaeDraba nivalisgenomelinkage map

Identifiers

PMID33501729
OpenAlexW3124034037

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.