Evidence map›Paper›PMID 23052831›Full record

ArticleMolecular genetics and genomics : MGG2012

Exploring the diploid wheat ancestral A genome through sequence comparison at the high-molecular-weight glutenin locus region.

Lingli Dong, Naxin Huo, Yi Wang, Karin Deal, Ming-Cheng Luo, Daowen Wang, Olin D Anderson, Yong Qiang Gu

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In one paragraph

Article in Molecular genetics and genomics : MGG, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 18% of its field
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

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Lingli DongUnited States Department of Agriculture-Agricultural Research Service, Western Regional Research Center, Albany, CA 94710, USA.
Naxin Huo
Yi Wang
Karin Deal
Ming-Cheng Luo
Daowen Wang
Olin D Anderson
Yong Qiang Gu
University of California, Davis · USAgricultural Research Service · USInstitute of Genetics and Developmental Biology · CNUnited States Department of Agriculture · USWestern Regional Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The polyploid nature of hexaploid wheat (T. aestivum, AABBDD) often represents a great challenge in various aspects of research including genetic mapping, map-based cloning of important genes, and sequencing and accurately assembly of its genome. To explore the utility of ancestral diploid species of polyploid wheat, sequence variation of T. urartu (A(u)A(u)) was analyzed by comparing its 277-kb large genomic region carrying the important Glu-1 locus with the homologous regions from the A genomes of the diploid T. monococcum (A(m)A(m)), tetraploid T. turgidum (AABB), and hexaploid T. aestivum (AABBDD). Our results revealed that in addition to a high degree of the gene collinearity, nested retroelement structures were also considerably conserved among the A(u) genome and the A genomes in polyploid wheats, suggesting that the majority of the repetitive sequences in the A genomes of polyploid wheats originated from the diploid A(u) genome. The difference in the compared region between A(u) and A is mainly caused by four differential TE insertion and two deletion events between these genomes. The estimated divergence time of A genomes calculated on nucleotide substitution rate in both shared TEs and collinear genes further supports the closer evolutionary relationship of A to A(u) than to A(m). The structure conservation in the repetitive regions promoted us to develop repeat junction markers based on the A(u) sequence for mapping the A genome in hexaploid wheat. Eighty percent of these repeat junction markers were successfully mapped to the corresponding region in hexaploid wheat, suggesting that T. urartu could serve as a useful resource for developing molecular markers for genetic and breeding studies in hexaploid wheat.

Indexed as

DiploidyGenome, PlantBase SequenceConserved SequenceEvolution, MolecularGlutensMolecular Sequence DataMolecular WeightPolyploidyRepetitive Sequences, Nucleic AcidRetroelementsSequence Homology, Nucleic AcidTriticumgluteninGlutensRetroelements

Identifiers

PMID23052831
OpenAlexW1986213755

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.