Meta-QTL analysis and identification of candidate genes for multiple-traits associated with spot blotch resistance in bread wheat DOI Creative Commons
Neeraj Kumar Vasistha, Vaishali Sharma, Sahadev Singh

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июнь 7, 2024

Abstract In bread wheat, a literature search gave 228 QTLs for six traits, including resistance against spot blotch and the following five other related traits: (i) stay green; (ii) flag leaf senescence; (iii) green area duration; (iv) of main stem; (v) black point resistance. These were used metaQTL (MQTL) analysis. For this purpose, consensus map with 72,788 markers was prepared; 69 above QTLs, which suitable MQTL analysis, projected on map. This exercise resulted in identification 16 meta-QTLs (MQTLs) located 11 chromosomes, PVE ranging from 5.4% (MQTL7) to 21.8% (MQTL5), confidence intervals 1.5 20.7 cM (except MQTLs range 36.1–57.8 cM). The number associated individual ranged maximum 17 MQTL3 8 each MQTL5 MQTL8 5 MQTL7 MQTL14. MQTLs, included 12 multi-trait MQTLs; one also overlapped genomic region carrying major gene Sb1 . Of total validated through marker-trait associations that available earlier genome-wide association studies. regions candidate genes (CGs) led 516 CGs encoding 508 proteins; 411 these proteins are known be several biotic stresses. silico expression analysis using transcriptome data allowed 71 differentially expressed CGs, examined further possible findings present study should facilitate fine-mapping cloning genes, enabling Marker Assisted Selection.

Язык: Английский

Consensus genomic regions associated with grain protein content in hexaploid and tetraploid wheat DOI Creative Commons
Pooja Saini, Imran Sheikh, Dinesh Kumar Saini

и другие.

Frontiers in Genetics, Год журнала: 2022, Номер 13

Опубликована: Сен. 28, 2022

A meta-analysis of QTLs associated with grain protein content (GPC) was conducted in hexaploid and tetraploid wheat to identify robust stable meta-QTLs (MQTLs). For this purpose, as many 459 GPC-related retrieved from 48 linkage-based QTL mapping studies were projected onto the newly developed consensus map. The analysis resulted prediction 57 MQTLs 7 hotspots located on all chromosomes (except 1D 4D) average confidence interval reduced 2.71-fold compared initial QTLs. physical regions occupied by ranged 140 bp 224.02 Mb an 15.2 Mb, whereas 1.81 36.03 a mean 8.82 Mb. Nineteen two also found be co-localized 45 significant SNPs identified 16 previously published genome-wide association wheat. Candidate gene (CG) investigation within some selected led identification 705 models which included 96 high-confidence CGs showing expressions different grain-related tissues having probable roles GPC regulation. These significantly expressed mainly involved genes/gene families encoding for following proteins: aminotransferases, early nodulin 93, glutamine synthetases, invertase/pectin methylesterase inhibitors, BIG GRAIN 1-like, cytochrome P450, glycosyl transferases, hexokinases, small GTPases, UDP-glucuronosyl/UDP-glucosyltransferases, EamA, SANT/Myb, GNAT, thioredoxin, phytocyanin, homeobox domains containing proteins. Further, eight genes including GPC-B1, Glu-B1-1b, Glu-1By9, TaBiP1, GSr, TaNAC019-A, TaNAC019-D, bZIP-TF SPA already known detected MQTL confirming efficacy predicted during current study.

Язык: Английский

Процитировано

17

Application of potassium nitrate and salicylic acid improves grain yield and related traits by delaying leaf senescence in Gpc-B1 carrying advanced wheat genotypes DOI Creative Commons

Mohammad Jafar Tanin,

Achla Sharma,

Hari Ram

и другие.

Frontiers in Plant Science, Год журнала: 2023, Номер 14

Опубликована: Июль 17, 2023

Grain protein content (GPC) is an important quality trait that effectively modulates end-use and nutritional characteristics of wheat flour-based food products. The Gpc-B1 gene responsible for the higher in grain. In addition to GPC, also generally associated with reduced grain filling period which eventually causes yield penalty wheat. main aim present study was evaluate effect foliar application potassium nitrate (PN) salicylic acid (SA) on physiological a set twelve genotypes, including nine isogenic lines carrying three elite varieties no gene, grown at experimental area Department Plant Breeding Genetics, PAU, Punjab, India. PN significantly increased number grains per spike (GPS) by 6.42 grains, days maturity (DTM) 1.03 days, 1000-grain weight (TGW) 1.97 g plot (YPP) 0.2 kg/plot. As result spray, flag leaf chlorophyll enhanced 2.35 CCI anthesis stage 1.96 10 after all tested genotypes. Furthermore, nitrogen average 0.52% booting 0.35% both evaluated addition, yellow peduncle colour 30 19.08% while straw improved 0.17% preliminary experiment conducted using SA demonstrated significant increase DTM other component traits. 2.31 GPS approximately 3.17 TGW 1.13g, YPP 0.21 had GPC itself. findings suggests applications can mitigate extending

Язык: Английский

Процитировано

11

Identification and expression analysis of genomic regions associated with the traits contributing to lodging tolerance in wheat (Triticum aestivum L.) DOI

Nikita Duhan,

Sourav Panigrahi, Neeraj Pal

и другие.

European Journal of Agronomy, Год журнала: 2024, Номер 154, С. 127073 - 127073

Опубликована: Янв. 10, 2024

Язык: Английский

Процитировано

4

Detection of consensus genomic regions and candidate genes for quality traits in barley using QTL meta-analysis DOI Creative Commons
Binbin Du,

Jindong Wu,

Meng Wang

и другие.

Frontiers in Plant Science, Год журнала: 2024, Номер 14

Опубликована: Янв. 11, 2024

Improving barley grain quality is a major goal in breeding. In this study, total of 35 papers focusing on quantitative trait loci (QTLs) mapping for traits published since 2000 were collected. Among the 454 QTLs identified these studies, 349 them mapped onto high-density consensus maps, which used QTL meta-analysis. Through meta-analysis, initial integrated into 41 meta-QTLs (MQTLs) with an average confidence interval (CI) 1. 66 cM, 88.9% narrower than that QTLs. MQTLs, 25 subsequently validated publications using genome-wide association study (GWAS). From ten breeder’s MQTLs selected. Synteny analysis comparing and wheat revealed orthologous relationships between eight 45 MQTLs. Additionally, 17 homologs associated rice within regions through comparative analysis. The findings provide valuable insights molecular marker-assisted breeding identification candidate genes related to barley.

Язык: Английский

Процитировано

4

Meta-QTL analysis and identification of candidate genes for multiple-traits associated with spot blotch resistance in bread wheat DOI Creative Commons
Neeraj Kumar Vasistha, Vaishali Sharma, Sahadev Singh

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июнь 7, 2024

Abstract In bread wheat, a literature search gave 228 QTLs for six traits, including resistance against spot blotch and the following five other related traits: (i) stay green; (ii) flag leaf senescence; (iii) green area duration; (iv) of main stem; (v) black point resistance. These were used metaQTL (MQTL) analysis. For this purpose, consensus map with 72,788 markers was prepared; 69 above QTLs, which suitable MQTL analysis, projected on map. This exercise resulted in identification 16 meta-QTLs (MQTLs) located 11 chromosomes, PVE ranging from 5.4% (MQTL7) to 21.8% (MQTL5), confidence intervals 1.5 20.7 cM (except MQTLs range 36.1–57.8 cM). The number associated individual ranged maximum 17 MQTL3 8 each MQTL5 MQTL8 5 MQTL7 MQTL14. MQTLs, included 12 multi-trait MQTLs; one also overlapped genomic region carrying major gene Sb1 . Of total validated through marker-trait associations that available earlier genome-wide association studies. regions candidate genes (CGs) led 516 CGs encoding 508 proteins; 411 these proteins are known be several biotic stresses. silico expression analysis using transcriptome data allowed 71 differentially expressed CGs, examined further possible findings present study should facilitate fine-mapping cloning genes, enabling Marker Assisted Selection.

Язык: Английский

Процитировано

4