Evidence map›Paper›PMID 34634144›Full record

ArticleAmerican journal of botany2021

The role of genus and life span in predicting seed and vegetative trait variation and correlation in Lathyrus, Phaseolus, and Vicia.

Sterling A Herron, Matthew J Rubin, Matthew A Albrecht, Quinn G Long, Marissa C Sandoval, Allison J Miller

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Article in American journal of botany, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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.

Sterling A HerronSaint Louis University, Department of Biology, 3507 Laclede Avenue, St. Louis, Missouri, 63103, USA.ORCID 0000-0003-1738-0874
Matthew J RubinDonald Danforth Plant Science Center, 975 North Warson Road, St. Louis, Missouri, 63132, USA.ORCID 0000-0001-5484-2324
Matthew A AlbrechtMissouri Botanical Garden, Center for Conservation and Sustainable Development, 4344 Shaw Boulevard, St. Louis, Missouri, 63110, USA.ORCID 0000-0002-1079-1630
Quinn G LongShaw Nature Reserve, 307 Pinetum Loop Road, Gray Summit, Missouri, 63039, USA.
Marissa C SandovalUniversity of California, Berkeley, Rausser College of Natural Resources, 319 Wellman Hall, Berkeley, California, 94704, USA.
Allison J MillerSaint Louis University, Department of Biology, 3507 Laclede Avenue, St. Louis, Missouri, 63103, USA.ORCID 0000-0002-2722-9361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

premiseAnnual and perennial life history transitions are abundant among angiosperms, and understanding the phenotypic variation underlying life span shifts is a key endeavor of plant evolutionary biology. Comparative analyses of trait variation and correlation networks among annual and perennial plants is increasingly important as new herbaceous perennial crops are being developed for edible seed. However, it remains unclear how seed to vegetative growth trait relationships correlate with life span.

methodsTo assess the relative roles of genus and life span in predicting phenotypic variation and trait correlations, we measured seed size and shape, germination proportion, and early-life-stage plant height and leaf growth over 3 mo in 29 annual and perennial, herbaceous congeneric species from three legume genera (Lathyrus, Phaseolus, and Vicia).

resultsGenus was the strongest predictor of seed size and shape variation, and life span consistently predicted plant height and leaf number at single time points. Correlation networks revealed that annual species had significant associations between seed traits and vegetative traits, whereas perennials had no significant seed-vegetative associations. Each genus also differed in the extent of integration between seed and vegetative traits, as well as within-vegetative-trait correlation patterns.

conclusionsGenus and life span were important for predicting aspects of early-life-stage phenotypic variation and trait relationships. Differences in phenotypic correlation may indicate that selection on seed size traits will impact vegetative growth differently depending on life span, which has important implications for nascent perennial breeding programs.

Indexed as

LathyrusPhaseolusViciaCrops, AgriculturalLongevityPlant BreedingSeedsFabaceaeLeguminosaelife history strategyperennial grainphenotypic correlationphenotypic integrationrelative growth rateresource allocationtrade-offstrait correlation network

Identifiers

PMID34634144
PMCPMC9306869

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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.