Evidence map›Paper›PMID 28886704›Full record

ArticleBMC genomics2017

Differentiated transcriptional signatures in the maize landraces of Chiapas, Mexico.

Matthew A Kost, Hugo R Perales, Saranga Wijeratne, Asela J Wijeratne, Eric Stockinger, Kristin L Mercer

Abstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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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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

9 citing papers in PubMed.

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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

6 authors.

Matthew A KostDepartment of Horticulture and Crop Science, The Ohio State University/Ohio Agricultural Research and Development Center (OARDC), Wooster, OH, USA.
Hugo R PeralesEl Colegio de la Frontera Sur, Departmento de Agroecología, San Cristóbal de Las Casas, Chiapas, Mexico.
Saranga WijeratneMolecular Cellular and Imagining Center, The Ohio State University/OARDC, Wooster, OH, USA.
Asela J WijeratneMolecular Cellular and Imagining Center, The Ohio State University/OARDC, Wooster, OH, USA.
Eric StockingerDepartment of Horticulture and Crop Science, The Ohio State University/Ohio Agricultural Research and Development Center (OARDC), Wooster, OH, USA.
Kristin L MercerDepartment of Horticulture and Crop Sciences, The Ohio State University, Columbus, OH, USA. mercer.97@osu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLandrace farmers are the keepers of crops locally adapted to the environments where they are cultivated. Patterns of diversity across the genome can provide signals of past evolution in the face of abiotic and biotic change. Understanding this rich genetic resource is imperative especially since diversity can provide agricultural security as climate continues to shift.

resultsHere we employ RNA sequencing (RNA-seq) to understand the role that conditions that vary across a landscape may have played in shaping genetic diversity in the maize landraces of Chiapas, Mexico. We collected landraces from three distinct elevational zones and planted them in a midland common garden. Early season leaf tissue was collected for RNA-seq and we performed weighted gene co-expression network analysis (WGCNA). We then used association analysis between landrace co-expression module expression values and environmental parameters of landrace origin to elucidate genes and gene networks potentially shaped by environmental factors along our study gradient. Elevation of landrace origin affected the transcriptome profiles. Two co-expression modules were highly correlated with temperature parameters of landrace origin and queries into their 'hub' genes suggested that temperature may have led to differentiation among landraces in hormone biosynthesis/signaling and abiotic and biotic stress responses. We identified several 'hub' transcription factors and kinases as candidates for the regulation of these responses.

conclusionsThese findings indicate that natural selection may influence the transcriptomes of crop landraces along an elevational gradient in a major diversity center, and provide a foundation for exploring the genetic basis of local adaptation. While we cannot rule out the role of neutral evolutionary forces in the patterns we have identified, combining whole transcriptome sequencing technologies, established bioinformatics techniques, and common garden experimentation can powerfully elucidate structure of adaptive diversity across a varied landscape. Ultimately, gaining such understanding can facilitate the conservation and strategic utilization of crop genetic diversity in a time of climate change.

Indexed as

Gene Expression ProfilingTranscription, GeneticClimate ChangeCrops, AgriculturalEnvironmentGenes, PlantGenetic VariationMexicoSequence Analysis, RNAZea maysAdaptationChiapasLandracesMaizeRNA-seqTranscriptomicsWGCNA

Identifiers

PMID28886704
PMCPMC5591509

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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.