eprintid: 11734
rev_number: 10
eprint_status: archive
userid: 3170
dir: disk0/00/01/17/34
datestamp: 2021-03-11 04:08:41
lastmod: 2021-03-11 04:08:41
status_changed: 2021-03-11 04:08:41
type: article
metadata_visibility: show
creators_name: Satturu, V
creators_name: Vattikuti, J L
creators_name: Durga Sai, J
creators_name: Kumar, A
creators_name: Singh, R K
creators_name: Srinivas Prasad, S
creators_name: Zaw, H
creators_name: Jubay, M L
creators_name: Satish, L
creators_name: Rathore, A
creators_name: Mulinti, S
creators_name: Ishwarya Lakshmi, V G
creators_name: Fiyaz R., A
creators_name: Chakraborty, A
creators_name: Thirunavukkarasu, N
creators_gender: Female
creators_gender: Female
creators_gender: Female
creators_gender: Female
creators_gender: Female
creators_gender: Female
icrisatcreators_name: Rathore, A
affiliation: Institute of Biotechnology, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad
affiliation: Entomology, Pathology and Plant breeding Division, Indian Institute of Rice Research (ICAR-IIRR), Rajendranagar, Hyderabad
affiliation: Plant Breeding Division, International Rice Research Institute (IRRI)-South Asia Hub (SAH), Patancheru, Hyderabad
affiliation: Plant Breeding Division, International Rice Research Institute (IRRI), Metro Manila
affiliation: International Center for Biosaline Agriculture, Academic City A, Dubai
affiliation: Department of Agriculture, Plant Biotechnology Center, Shwe Nanthar, Mingalardon Township, Yangon
affiliation: Department of Biotechnology Engineering, Ben-Gurion University of the Negev, Beer Sheva , Israel
affiliation: ICRISAT (Patancheru)
affiliation: MFPI-Quality Control Lab, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad
affiliation: Plant Breeding Division, Indian Institute of Millets Research (ICAR-IIMR), Rajendranagar, Hyderabad
country: India
country: Philippines
country: Dubai
country: Myanmar
country: Israel
title: Multiple Genome Wide Association Mapping Models Identify Quantitative Trait Nucleotides for Brown Planthopper (Nilaparvata lugens) Resistance in MAGIC Indica Population of Rice
ispublished: pub
subjects: S2021
subjects: s2.13
divisions: S15
full_text_status: public
keywords: Association mapping, Brown planthopper resistance, MAGIC, Monophagous pest, QTNs, Rice, SNPs
note: We are grateful to R K Singh and Arvind Kumar for sharing MAGIC material and GBS data.
The authors would also like to acknowledge Jayashankar Telangana of State Agriculture University, Hyderabad
for the financial support to conduct the experiment.
abstract: Brown planthopper (BPH), one of the most important pests of the rice (Oryza sativa)
crop, becomes catastrophic under severe infestations and causes up to 60% yield loss. The highly
disastrous BPH biotype in the Indian sub-continent is Biotype 4, which also known as the South
Asian Biotype. Though many resistance genes were mapped until now, the utility of the resistance
genes in the breeding programs is limited due to the breakdown of resistance and emergence
of new biotypes. Hence, to identify the resistance genes for this economically important pest,
we have used a multi-parent advanced generation intercross (MAGIC) panel consisting of 391 lines
developed from eight indica founder parents. The panel was phenotyped at the controlled conditions
for two consecutive years. A set of 27,041 cured polymorphic single nucleotide polymorphism
(SNPs) and across-year phenotypic data were used for the identification of marker–trait associations.
Genome-wide association analysis was performed to find out consistent associations by employing four
single and two multi-locus models. Sixty-one SNPs were consistently detected by all six models. A set
of 190 significant marker-associations identified by fixed and random model circulating probability
unification (FarmCPU) were considered for searching resistance candidate genes. The highest number
of annotated genes were found in chromosome 6 followed by 5 and 1. Ninety-two annotated genes identified across chromosomes of which 13 genes are associated BPH resistance including
NB-ARC (nucleotide binding in APAF-1, R gene products, and CED-4) domain-containing protein,
NHL repeat-containing protein, LRR containing protein, and WRKY70. The significant SNPs and
resistant lines identified from our study could be used for an accelerated breeding program to develop
new BPH resistant cultivars.
date: 2020-10
date_type: published
publication: Vaccines (TSI)
volume: 8
number: 4
publisher: MDPI
pagerange: 1-17
id_number: doi:10.3390/vaccines8040608
refereed: TRUE
issn: 2076-393X
official_url: https://doi.org/10.3390/vaccines8040608
related_url_url: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=10.3390%2Fvaccines8040608&btnG=
related_url_type: pub
citation:   Satturu, V and Vattikuti, J L and Durga Sai, J and Kumar, A and Singh, R K and Srinivas Prasad, S and Zaw, H and Jubay, M L and Satish, L and Rathore, A and Mulinti, S and Ishwarya Lakshmi, V G and Fiyaz R., A and Chakraborty, A and Thirunavukkarasu, N  (2020) Multiple Genome Wide Association Mapping Models Identify Quantitative Trait Nucleotides for Brown Planthopper (Nilaparvata lugens) Resistance in MAGIC Indica Population of Rice.  Vaccines (TSI), 8 (4).  pp. 1-17.  ISSN 2076-393X     
document_url: http://oar.icrisat.org/11734/1/vaccines-08-00608-v4.pdf