Ontology type: schema:ScholarlyArticle Open Access: True
2019-12
AUTHORSLiangliang Ju, Guangbing Deng, Junjun Liang, Haili Zhang, Qiao Li, Zhifen Pan, Maoqun Yu, Hai Long
ABSTRACTBACKGROUND: High isoelectric point α-amylase genes (Amy1) play major roles during cereal seed germination, and are associated with unacceptable high residual α-amylase activities in ripe wheat grains. However, in wheat and barley, due to extremely high homology of duplicated copies, and large and complex genome background, the knowledge on this multigene family is limited. RESULTS: In the present work, we identified a total of 41 Amy1 genes among 13 investigated grasses. By using genomic resources and experimental validation, the exact copy numbers and chromosomal locations in wheat and barley were determined. Phylogenetic and syntenic analyses revealed tandem gene duplication and chromosomal rearrangement leading to separation of Amy1 into two distinct loci, Amy1θ and Amy1λ. The divergence of Amy1λ from Amy1θ was driven by adaptive selection pressures performed on two amino acids, Arg97 and Asn233 (P > 0.95*). The predicted protein structural alteration caused by substitution of Asp233Asn in the conserved starch binding surface site, and significantly expressional differentiation during seed germination and grain development provided evidence of functional divergence between Amy1θ and Amy1λ genes. We screened out candidate copies (TaAmy1-A1/A2 and TaAmy1-D1) associated with high residual α-amylase activities in ripe grains. Furthermore, we proposed an evolutionary model for expansion dynamics of Amy1 genes. CONCLUSIONS: Our study provides comprehensive analyses of the Amy1 multigene family, and defines the fixation of two spatially structural Amy1 loci in wheat and barley. Potential functional divergence between them is reflected by their sequence features and expressional patterns, and driven by gene duplication, chromosome rearrangement and natural selections during gene family evolution. Furthermore, the discrimination of differentially effective copies during seed germination and/or grain development will provide guidance to manipulation of α-amylase activity in wheat and barley breeding for better yield and processing properties. More... »
PAGES25
http://scigraph.springernature.com/pub.10.1186/s12863-019-0732-1
DOIhttp://dx.doi.org/10.1186/s12863-019-0732-1
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1112606525
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30845909
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Genetics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Chinese Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.410726.6",
"name": [
"Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China",
"University of Chinese Academy of Sciences, 100049, Beijing, China"
],
"type": "Organization"
},
"familyName": "Ju",
"givenName": "Liangliang",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chengdu Institute of Biology",
"id": "https://www.grid.ac/institutes/grid.458441.8",
"name": [
"Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China"
],
"type": "Organization"
},
"familyName": "Deng",
"givenName": "Guangbing",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chengdu Institute of Biology",
"id": "https://www.grid.ac/institutes/grid.458441.8",
"name": [
"Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China"
],
"type": "Organization"
},
"familyName": "Liang",
"givenName": "Junjun",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chengdu Institute of Biology",
"id": "https://www.grid.ac/institutes/grid.458441.8",
"name": [
"Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China"
],
"type": "Organization"
},
"familyName": "Zhang",
"givenName": "Haili",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chengdu Institute of Biology",
"id": "https://www.grid.ac/institutes/grid.458441.8",
"name": [
"Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Qiao",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chengdu Institute of Biology",
"id": "https://www.grid.ac/institutes/grid.458441.8",
"name": [
"Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China"
],
"type": "Organization"
},
"familyName": "Pan",
"givenName": "Zhifen",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chengdu Institute of Biology",
"id": "https://www.grid.ac/institutes/grid.458441.8",
"name": [
"Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China"
],
"type": "Organization"
},
"familyName": "Yu",
"givenName": "Maoqun",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chengdu Institute of Biology",
"id": "https://www.grid.ac/institutes/grid.458441.8",
"name": [
"Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China"
],
"type": "Organization"
},
"familyName": "Long",
"givenName": "Hai",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1093/oxfordjournals.molbev.a004148",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000201411"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0969-2126(98)00066-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000319026"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/gr.1224503",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000505228"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1104/pp.105.1.151",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000984348"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02100204",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001238763",
"https://doi.org/10.1007/bf02100204"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02100204",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001238763",
"https://doi.org/10.1007/bf02100204"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0169-5347(03)00033-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001275541"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0169-5347(03)00033-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001275541"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1006/jmbi.1994.1354",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001424564"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/protein/10.1.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001804651"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01160388",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002673960",
"https://doi.org/10.1007/bf01160388"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01160388",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002673960",
"https://doi.org/10.1007/bf01160388"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.072223799",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003243051"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1105/tpc.7.11.1879",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003676035"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.104.031153",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005360660"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.104.031153",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005360660"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tig.2005.08.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006817794"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/btm404",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007683223"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/jcc.20084",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008225564"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00227324",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008741163",
"https://doi.org/10.1007/bf00227324"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00227324",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008741163",
"https://doi.org/10.1007/bf00227324"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1104/pp.112.209502",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009309641"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11032-013-9968-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009645641",
"https://doi.org/10.1007/s11032-013-9968-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11032-013-9968-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009645641",
"https://doi.org/10.1007/s11032-013-9968-z"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msi097",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009754204"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1006/jmbi.1998.1683",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009987521"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.molbev.a025957",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011689081"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msw054",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012564990"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00017869",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012868337",
"https://doi.org/10.1007/bf00017869"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00017869",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012868337",
"https://doi.org/10.1007/bf00017869"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1104/pp.45.4.367",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013839725"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1105/tpc.107.056309",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014714120"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00017982",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015104968",
"https://doi.org/10.1007/bf00017982"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00017982",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015104968",
"https://doi.org/10.1007/bf00017982"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/star.19780300506",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016094997"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00329833",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017814217",
"https://doi.org/10.1007/bf00329833"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/15.6.2515",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018500589"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00267458",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018632561",
"https://doi.org/10.1007/bf00267458"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00267458",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018632561",
"https://doi.org/10.1007/bf00267458"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.2535513100",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019960293"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijbiomac.2015.01.054",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021655867"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.1423628112",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022083796"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1389-1723(99)80114-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022155255"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11032-013-9881-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023511986",
"https://doi.org/10.1007/s11032-013-9881-5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0003-2697(76)90527-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025529346"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1074/jbc.m505515200",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026735321"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msi237",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027505844"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s002390010105",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027857979",
"https://doi.org/10.1007/s002390010105"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature08747",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027862091",
"https://doi.org/10.1038/nature08747"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature08747",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027862091",
"https://doi.org/10.1038/nature08747"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1006/jmbi.2000.3903",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028412590"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.93.19.10274",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030242883"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/bti770",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031081661"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.pbi.2005.01.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032322211"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ympev.2006.01.023",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033739677"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00425-014-2172-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034679690",
"https://doi.org/10.1007/s00425-014-2172-5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1266/jjg.46.345",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034724896"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nprot.2008.197",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034794581",
"https://doi.org/10.1038/nprot.2008.197"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00198784",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035413546",
"https://doi.org/10.1007/bf00198784"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00198784",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035413546",
"https://doi.org/10.1007/bf00198784"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0969-2126(03)00151-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035650239"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0969-2126(03)00151-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035650239"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/13.5.555",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036075858"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.pbi.2008.10.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036351222"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.0803981105",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036525684"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg817",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041943737",
"https://doi.org/10.1038/nrg817"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg817",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041943737",
"https://doi.org/10.1038/nrg817"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1742-4658.2007.05790.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042462229"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1105/tpc.4.11.1435",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044865626"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1105/tpc.4.2.203",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045535408"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00499629",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045854772",
"https://doi.org/10.1007/bf00499629"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00499629",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045854772",
"https://doi.org/10.1007/bf00499629"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/18.23.7007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046271750"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1104/pp.108.133520",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047216283"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gku316",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049119825"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jcs.2007.01.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049927141"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/09168451.2014.917261",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050013288"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11032-014-0098-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050231137",
"https://doi.org/10.1007/s11032-014-0098-z"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.molbev.a026236",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050352635"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1250092",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050370786"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.290.5494.1151",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050543187"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jxb/eru299",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050679009"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.89.16.7526",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051713478"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00274170",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052610120",
"https://doi.org/10.1007/bf00274170"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00274170",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052610120",
"https://doi.org/10.1007/bf00274170"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gku340",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052806377"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1105/tpc.109.068288",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053094172"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1104/pp.42.3.398",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053252250"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s0016672300019182",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1054050503"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s0016672300019182",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1054050503"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/8.3.275",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059414153"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.molbev.a040752",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1077145115"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00273745",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078815916",
"https://doi.org/10.1007/bf00273745"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00273745",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078815916",
"https://doi.org/10.1007/bf00273745"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1079648592",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1081561921",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.molbev.a040153",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1082587005"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.pcp.a075983",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083626869"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature22043",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085060257",
"https://doi.org/10.1038/nature22043"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1515/amylase-2017-0004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085454294"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fpls.2017.01727",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092084863"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-12",
"datePublishedReg": "2019-12-01",
"description": "BACKGROUND: High isoelectric point \u03b1-amylase genes (Amy1) play major roles during cereal seed germination, and are associated with unacceptable high residual \u03b1-amylase activities in ripe wheat grains. However, in wheat and barley, due to extremely high homology of duplicated copies, and large and complex genome background, the knowledge on this multigene family is limited.\nRESULTS: In the present work, we identified a total of 41 Amy1 genes among 13 investigated grasses. By using genomic resources and experimental validation, the exact copy numbers and chromosomal locations in wheat and barley were determined. Phylogenetic and syntenic analyses revealed tandem gene duplication and chromosomal rearrangement leading to separation of Amy1 into two distinct loci, Amy1\u03b8 and Amy1\u03bb. The divergence of Amy1\u03bb from Amy1\u03b8 was driven by adaptive selection pressures performed on two amino acids, Arg97 and Asn233 (P\u2009>\u20090.95*). The predicted protein structural alteration caused by substitution of Asp233Asn in the conserved starch binding surface site, and significantly expressional differentiation during seed germination and grain development provided evidence of functional divergence between Amy1\u03b8 and Amy1\u03bb genes. We screened out candidate copies (TaAmy1-A1/A2 and TaAmy1-D1) associated with high residual \u03b1-amylase activities in ripe grains. Furthermore, we proposed an evolutionary model for expansion dynamics of Amy1 genes.\nCONCLUSIONS: Our study provides comprehensive analyses of the Amy1 multigene family, and defines the fixation of two spatially structural Amy1 loci in wheat and barley. Potential functional divergence between them is reflected by their sequence features and expressional patterns, and driven by gene duplication, chromosome rearrangement and natural selections during gene family evolution. Furthermore, the discrimination of differentially effective copies during seed germination and/or grain development will provide guidance to manipulation of \u03b1-amylase activity in wheat and barley breeding for better yield and processing properties.",
"genre": "research_article",
"id": "sg:pub.10.1186/s12863-019-0732-1",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1024251",
"issn": [
"1471-2156"
],
"name": "BMC Genetics",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "20"
}
],
"name": "Structural organization and functional divergence of high isoelectric point \u03b1-amylase genes in bread wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.)",
"pagination": "25",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"8b12905ce94e9bf5bb3443ed3fe3d58a6a089d6d4e687e651e1c43a04e13a49f"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30845909"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"100966978"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s12863-019-0732-1"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1112606525"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s12863-019-0732-1",
"https://app.dimensions.ai/details/publication/pub.1112606525"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:18",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000368_0000000368/records_78947_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1186%2Fs12863-019-0732-1"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12863-019-0732-1'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12863-019-0732-1'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12863-019-0732-1'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12863-019-0732-1'
This table displays all metadata directly associated to this object as RDF triples.
383 TRIPLES
21 PREDICATES
113 URIs
21 LITERALS
9 BLANK NODES