Evidence map›Paper›PMID 36149808›Full record

ArticleMolecular biology and evolution2022

A Pleiotropic Flowering Time QTL Exhibits Gene-by-Environment Interaction for Fitness in a Perennial Grass.

Xiaoyu Weng, Taslima Haque, Li Zhang, Samsad Razzaque, John T Lovell, Juan Diego Palacio-Mejía, Perla Duberney, John Lloyd-Reilley, Jason Bonnette, Thomas E Juenger

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Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xiaoyu WengDepartment of Integrative Biology, University of Texas at Austin, Austin, TX, USA.
Taslima HaqueDepartment of Integrative Biology, University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-0578-5164
Li ZhangDepartment of Integrative Biology, University of Texas at Austin, Austin, TX, USA.
Samsad RazzaqueDepartment of Integrative Biology, University of Texas at Austin, Austin, TX, USA.ORCID 0000-0003-0836-2076
John T LovellHudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.ORCID 0000-0002-8938-1166
Juan Diego Palacio-MejíaCorporación Colombiana de Investigación Agropecuaria - AGROSAVIA, Centro de Investigación Tibaitatá. Kilómetro 14 vía Mosquera-Bogotá, Mosquera. Código postal 250047, Colombia.ORCID 0000-0002-7958-1586
Perla DuberneyKika de la Garza Plant Materials Center, USDA-NRCS, Kingsville, TX, USA.
John Lloyd-ReilleyKika de la Garza Plant Materials Center, USDA-NRCS, Kingsville, TX, USA.
Jason BonnetteDepartment of Integrative Biology, University of Texas at Austin, Austin, TX, USA.
Thomas E JuengerDepartment of Integrative Biology, University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-9550-9288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Appropriate flowering time is a crucial adaptation impacting fitness in natural plant populations. Although the genetic basis of flowering variation has been extensively studied, its mechanisms in nonmodel organisms and its adaptive value in the field are still poorly understood. Here, we report new insights into the genetic basis of flowering time and its effect on fitness in Panicum hallii, a native perennial grass. Genetic mapping in populations derived from inland and coastal ecotypes identified flowering time quantitative trait loci (QTL) and many exhibited extensive QTL-by-environment interactions. Patterns of segregation within recombinant hybrids provide strong support for directional selection driving ecotypic divergence in flowering time. A major QTL on chromosome 5 (q-FT5) was detected in all experiments. Fine-mapping and expression studies identified a gene with orthology to a rice FLOWERING LOCUS T-like 9 (PhFTL9) as the candidate underlying q-FT5. We used a reciprocal transplant experiment to test for local adaptation and the specific impact of q-FT5 on performance. We did not observe local adaptation in terms of fitness tradeoffs when contrasting ecotypes in home versus away habitats. However, we observed that the coastal allele of q-FT5 conferred a fitness advantage only in its local habitat but not at the inland site. Sequence analyses identified an excess of low-frequency polymorphisms at the PhFTL9 promoter in the inland lineage, suggesting a role for either selection or population expansion on promoter evolution. Together, our findings demonstrate the genetic basis of flowering variation in a perennial grass and provide evidence for conditional neutrality underlying flowering time divergence.

Indexed as

PoaceaeQuantitative Trait LociChromosome MappingEcotypeFlowersGene-Environment Interactionflowering timegene-by-environment interactionlocal adaptationPanicum halliipleiotropyquantitative trait locus (QTL)

Identifiers

PMID36149808
PMCPMC9550986

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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.