Parallel genetic and phenotypic differentiation of

Yuan-Yuan Liu, Qin-Fen Yang, Zhen Li, Zhi-Xiang Zhou, Xue-Ping Shi, Yong-Jian Wang

Abstract read

In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yuan-Yuan LiuCollege of Horticulture and Forestry Sciences/Hubei Engineering Technology Research Centre for Forestry Management Key Laboratory, Huazhong Agricultural University, Wuhan, Hubei, China.

Qin-Fen YangCollege of Horticulture and Forestry Sciences/Hubei Engineering Technology Research Centre for Forestry Management Key Laboratory, Huazhong Agricultural University, Wuhan, Hubei, China.

Zhen LiCollege of Horticulture and Forestry Sciences/Hubei Engineering Technology Research Centre for Forestry Management Key Laboratory, Huazhong Agricultural University, Wuhan, Hubei, China.

Zhi-Xiang ZhouCollege of Horticulture and Forestry Sciences/Hubei Engineering Technology Research Centre for Forestry Management Key Laboratory, Huazhong Agricultural University, Wuhan, Hubei, China.

Xue-Ping ShiCollege of Horticulture and Forestry Sciences/Hubei Engineering Technology Research Centre for Forestry Management Key Laboratory, Huazhong Agricultural University, Wuhan, Hubei, China.

Yong-Jian WangCollege of Horticulture and Forestry Sciences/Hubei Engineering Technology Research Centre for Forestry Management Key Laboratory, Huazhong Agricultural University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The factors that determine the growth and spread advantages of an alien plant during the invasion process remain open to debate. The genetic diversity and differentiation of an invasive plant population might be closely related to its growth adaptation and spread in the introduced range. However, little is known about whether phenotypic and genetic variation in invasive plant populations covary during the invasion process along invaded geographic distances. Methods: In a wild experiment, we examined the genetic variation in populations of the aggressively invasive species Results and discussion: We found that

Indexed as

coefficient of variationdominance ecotypegenetic diversity and variationgeographical populationgrowth performance

Identifiers

PMID36684796

DOI10.3389/fpls.2022.994367

PMCPMC9845934

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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.