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Classification of 17 species Aegilops using DNA barcoding and SNPs, reveals gene flow among Aegilops biuncialis , Aegilops juvenalis , and Aegilops columnaris
Rapid changes in agricultural environments caused by global warming pose a major challenge to food production and safety. Common wheat ( ) is a hexaploid plant (AABBDD) that shares large numbers of quantitative traits and resistance genes with B and D genomes of species, which are responsible for se...
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Published in: | Frontiers in plant science 2022-10, Vol.13, p.984825 |
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Main Authors: | , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Rapid changes in agricultural environments caused by global warming pose a major challenge to food production and safety. Common wheat (
) is a hexaploid plant (AABBDD) that shares large numbers of quantitative traits and resistance genes with B and D genomes of
species, which are responsible for several metabolic functions and biosynthetic processes, particularly in plant adaptation to biotic as well as abiotic stresses. Comparatively, the abundance of the
gene pool is much higher than that of
. Therefore, we used four universal DNA barcodes for plants (ITS2,
K,
L, and
M
N) to construct a phylogenetic tree to classify the genus
. Fourteen species were distinguished among a total of 17 representative species.
,
, and
could not be grouped into any of the clusters in the phylogenetic tree, indicating that these three species could not be distinguished by four DNA barcodes. Therefore, from 2408 SNPs obtained using genotyping by sequencing (GBS), we manually screened 30 SNPs that could be potentially used to classify these three species. The results of gene flow and genetic differentiation index (Fst) showed that the genetic differentiation among the three species was small, and there was bidirectional horizontal gene transfer between the three species, which was consistent with our results that the three species were difficult to classify by DNA barcode. |
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ISSN: | 1664-462X 1664-462X |
DOI: | 10.3389/fpls.2022.984825 |