Literature DB >> 34115214

WheatQTLdb: a QTL database for wheat.

Kalpana Singh1, Ritu Batra1, Shiveta Sharma1, Gautam Saripalli1, Tinku Gautam1, Rakhi Singh1, Sunita Pal1, Parveen Malik1, Manoj Kumar1, Irfat Jan1, Sahadev Singh1, Deepak Kumar1, Saksham Pundir1, Deepti Chaturvedi1, Anjali Verma1, Anshu Rani1, Anuj Kumar1, Hemant Sharma1, Jyoti Chaudhary1, Kuldeep Kumar1, Sourabh Kumar1, Vikas Kumar Singh1, Vivudh Pratap Singh1, Sachin Kumar1, Rahul Kumar1, Shailendra Singh Gaurav1, Shailendra Sharma1, Pradeep Kumar Sharma1, Harindra Singh Balyan1, Pushpendra Kumar Gupta2.   

Abstract

During the last three decades, QTL analysis in wheat has been conducted for a variety of individual traits, so that thousands of QTL along with the linked markers, their genetic positions and contribution to phenotypic variation (PV) for concerned traits are now known. However, no exhaustive database for wheat QTL is currently available at a single platform. Therefore, the present database was prepared which is an exhaustive information resource for wheat QTL data from the published literature till May, 2020. QTL data from both interval mapping and genome-wide association studies (GWAS) have been included for the following classes of traits: (i) morphological traits, (ii) N and P use efficiency, (iii) traits for biofortification (Fe, K, Se, and Zn contents), (iv) tolerance to abiotic stresses including drought, water logging, heat stress, pre-harvest sprouting and salinity, (v) resistance to biotic stresses including those due to bacterial, fungal, nematode and insects, (vi) quality traits, and (vii) a variety of physiological traits, (viii) developmental traits, and (ix) yield and its related traits. For the preparation of the database, literature was searched for data on QTL/marker-trait associations (MTAs), curated and then assembled in the form of WheatQTLdb. The available information on metaQTL, epistatic QTL and candidate genes, wherever available, is also included in the database. Information on QTL in this WheatQTLdb includes QTL names, traits, associated markers, parental genotypes, crosses/mapping populations, association mapping panels and other useful information. To our knowledge, WheatQTLdb prepared by us is the largest collection of QTL (11,552), epistatic QTL (107) and metaQTL (330) data for hexaploid wheat to be used by geneticists and plant breeders for further studies involving fine mapping, cloning, and marker-assisted selection (MAS) during wheat breeding.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Epistatic QTL; GWAS; MTA; QTL database; WheatQTLdb; metaQTL

Year:  2021        PMID: 34115214     DOI: 10.1007/s00438-021-01796-9

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  1 in total

1.  GrainGenes: centralized small grain resources and digital platform for geneticists and breeders.

Authors:  Victoria C Blake; Margaret R Woodhouse; Gerard R Lazo; Sarah G Odell; Charlene P Wight; Nicholas A Tinker; Yi Wang; Yong Q Gu; Clay L Birkett; Jean-Luc Jannink; Dave E Matthews; David L Hane; Steve L Michel; Eric Yao; Taner Z Sen
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

  1 in total
  10 in total

1.  GWAS for main effects and epistatic interactions for grain morphology traits in wheat.

Authors:  Parveen Malik; Jitendra Kumar; Shiveta Sharma; Prabina Kumar Meher; Harindra Singh Balyan; Pushpendra Kumar Gupta; Shailendra Sharma
Journal:  Physiol Mol Biol Plants       Date:  2022-03-26

2.  Meta-QTLs, ortho-MetaQTLs and candidate genes for grain Fe and Zn contents in wheat (Triticum aestivum L.).

Authors:  Rakhi Singh; Gautam Saripalli; Tinku Gautam; Anuj Kumar; Irfat Jan; Ritu Batra; Jitendra Kumar; Rahul Kumar; Harindra Singh Balyan; Shailendra Sharma; Pushpendra Kumar Gupta
Journal:  Physiol Mol Biol Plants       Date:  2022-03-25

3.  Genomic Prediction Accuracy of Stripe Rust in Six Spring Wheat Populations by Modeling Genotype by Environment Interaction.

Authors:  Kassa Semagn; Muhammad Iqbal; Diego Jarquin; Harpinder Randhawa; Reem Aboukhaddour; Reka Howard; Izabela Ciechanowska; Momna Farzand; Raman Dhariwal; Colin W Hiebert; Amidou N'Diaye; Curtis Pozniak; Dean Spaner
Journal:  Plants (Basel)       Date:  2022-06-30

Review 4.  Salinity stress tolerance and omics approaches: revisiting the progress and achievements in major cereal crops.

Authors:  Pardeep Kumar; Mukesh Choudhary; Tanushree Halder; Nitish Ranjan Prakash; Vishal Singh; Vineeth T V; Seema Sheoran; Ravikiran K T; Ningthaipuilu Longmei; Sujay Rakshit; Kadambot H M Siddique
Journal:  Heredity (Edinb)       Date:  2022-03-05       Impact factor: 3.832

5.  Meta-QTLs, ortho-MQTLs and candidate genes for nitrogen use efficiency and root system architecture in bread wheat (Triticum aestivum L.).

Authors:  Dinesh Kumar Saini; Yuvraj Chopra; Neeraj Pal; Amneek Chahal; Puja Srivastava; Pushpendra Kumar Gupta
Journal:  Physiol Mol Biol Plants       Date:  2021-10-04

6.  Meta-QTLs and candidate genes for stripe rust resistance in wheat.

Authors:  Irfat Jan; Gautam Saripalli; Kuldeep Kumar; Anuj Kumar; Rakhi Singh; Ritu Batra; Pradeep Kumar Sharma; Harindra Singh Balyan; Pushpendra Kumar Gupta
Journal:  Sci Rep       Date:  2021-11-25       Impact factor: 4.379

Review 7.  Metabolomics for Crop Breeding: General Considerations.

Authors:  Dmitry Y Litvinov; Gennady I Karlov; Mikhail G Divashuk
Journal:  Genes (Basel)       Date:  2021-10-12       Impact factor: 4.096

8.  Residual effect of defeated stripe rust resistance genes/QTLs in bread wheat against prevalent pathotypes of Puccinia striiformis f. sp. tritici.

Authors:  Harpreet Singh; Jaspal Kaur; Ritu Bala; Puja Srivastava; Achla Sharma; Gomti Grover; Guriqbal Singh Dhillon; Rupinder Pal Singh; Parveen Chhuneja; Navtej Singh Bains
Journal:  PLoS One       Date:  2022-04-01       Impact factor: 3.240

Review 9.  Cytogenetics to functional genomics: six decades journey of Professor P.K. Gupta.

Authors:  Pawan L Kulwal; Reyazul Rouf Mir; Rajeev K Varshney
Journal:  Plant Biotechnol J       Date:  2022-03-22       Impact factor: 13.263

10.  Genome-wide association study for grain yield and component traits in bread wheat (Triticum aestivum L.).

Authors:  Hanif Khan; Gopalareddy Krishnappa; Satish Kumar; Chandra Nath Mishra; Hari Krishna; Narayana Bhat Devate; Nagenahalli Dharmegowda Rathan; Om Parkash; Sonu Singh Yadav; Puja Srivastava; Suma Biradar; Monu Kumar; Gyanendra Pratap Singh
Journal:  Front Genet       Date:  2022-08-26       Impact factor: 4.772

  10 in total

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