Tags

Type your tag names separated by a space and hit enter

Genome wide identification of QTL associated with yield and yield components in two popular wheat cultivars TAM 111 and TAM 112.
PLoS One. 2020; 15(12):e0237293.Plos

Abstract

Two drought-tolerant wheat cultivars, 'TAM 111' and 'TAM 112', have been widely grown in the Southern Great Plains of the U.S. and used as parents in many wheat breeding programs worldwide. This study aimed to reveal genetic control of yield and yield components in the two cultivars under both dryland and irrigated conditions. A mapping population containing 124 F5:7 recombinant inbred lines (RILs) was developed from the cross of TAM 112/TAM 111. A set of 5,948 SNPs from the wheat 90K iSelect array and double digest restriction-site associated DNA sequencing was used to construct high-density genetic maps. Data for yield and yield components were obtained from 11 environments. QTL analyses were performed based on 11 individual environments, across all environments, within and across mega-environments. Thirty-six unique consistent QTL regions were distributed on 13 chromosomes including 1A, 1B, 1D, 2A, 2D, 3D, 4B, 4D, 6A, 6B, 6D, 7B, and 7D. Ten unique QTL with pleiotropic effects were identified on four chromosomes and eight were in common with the consistent QTL. These QTL increased dry biomass grain yield by 16.3 g m-2, plot yield by 28.1 g m-2, kernels spike-1 by 0.7, spikes m-2 by 14.8, thousand kernel weight by 0.9 g with favorable alleles from either parent. TAM 112 alleles mainly increased spikes m-2 and thousand kernel weight while TMA 111 alleles increased kernels spike-1, harvest index and grain yield. The saturated genetic map and markers linked to significant QTL from this study will be very useful in developing high throughput genotyping markers for tracking the desirable haplotypes of these important yield-related traits in popular parental cultivars.

Authors+Show Affiliations

Texas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America. Department of Soil and Crop Science, Texas A&M University, College Station, Texas, United States of America.Texas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America. Department of Soil and Crop Science, Texas A&M University, College Station, Texas, United States of America.Texas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.Genomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX, United States of America.Texas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.Texas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.Department of Soil and Crop Science, Texas A&M University, College Station, Texas, United States of America.Texas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.Texas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.Texas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.Texas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.Texas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.Genomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX, United States of America.Genomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX, United States of America.Texas A&M AgriLife Research and Extension Center, Amarillo, Texas, United States of America.

Pub Type(s)

Comparative Study
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

33264303

Citation

Yang, Yan, et al. "Genome Wide Identification of QTL Associated With Yield and Yield Components in Two Popular Wheat Cultivars TAM 111 and TAM 112." PloS One, vol. 15, no. 12, 2020, pp. e0237293.
Yang Y, Dhakal S, Chu C, et al. Genome wide identification of QTL associated with yield and yield components in two popular wheat cultivars TAM 111 and TAM 112. PLoS One. 2020;15(12):e0237293.
Yang, Y., Dhakal, S., Chu, C., Wang, S., Xue, Q., Rudd, J. C., Ibrahim, A. M. H., Jessup, K., Baker, J., Fuentealba, M. P., Devkota, R., Baker, S., Johnson, C. D., Metz, R., & Liu, S. (2020). Genome wide identification of QTL associated with yield and yield components in two popular wheat cultivars TAM 111 and TAM 112. PloS One, 15(12), e0237293. https://doi.org/10.1371/journal.pone.0237293
Yang Y, et al. Genome Wide Identification of QTL Associated With Yield and Yield Components in Two Popular Wheat Cultivars TAM 111 and TAM 112. PLoS One. 2020;15(12):e0237293. PubMed PMID: 33264303.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Genome wide identification of QTL associated with yield and yield components in two popular wheat cultivars TAM 111 and TAM 112. AU - Yang,Yan, AU - Dhakal,Smit, AU - Chu,Chenggen, AU - Wang,Shichen, AU - Xue,Qingwu, AU - Rudd,Jackie C, AU - Ibrahim,Amir M H, AU - Jessup,Kirk, AU - Baker,Jason, AU - Fuentealba,Maria Pilar, AU - Devkota,Ravindra, AU - Baker,Shannon, AU - Johnson,Charles D, AU - Metz,Richard, AU - Liu,Shuyu, Y1 - 2020/12/02/ PY - 2020/07/22/received PY - 2020/11/10/accepted PY - 2020/12/2/entrez PY - 2020/12/3/pubmed PY - 2021/1/15/medline SP - e0237293 EP - e0237293 JF - PloS one JO - PLoS One VL - 15 IS - 12 N2 - Two drought-tolerant wheat cultivars, 'TAM 111' and 'TAM 112', have been widely grown in the Southern Great Plains of the U.S. and used as parents in many wheat breeding programs worldwide. This study aimed to reveal genetic control of yield and yield components in the two cultivars under both dryland and irrigated conditions. A mapping population containing 124 F5:7 recombinant inbred lines (RILs) was developed from the cross of TAM 112/TAM 111. A set of 5,948 SNPs from the wheat 90K iSelect array and double digest restriction-site associated DNA sequencing was used to construct high-density genetic maps. Data for yield and yield components were obtained from 11 environments. QTL analyses were performed based on 11 individual environments, across all environments, within and across mega-environments. Thirty-six unique consistent QTL regions were distributed on 13 chromosomes including 1A, 1B, 1D, 2A, 2D, 3D, 4B, 4D, 6A, 6B, 6D, 7B, and 7D. Ten unique QTL with pleiotropic effects were identified on four chromosomes and eight were in common with the consistent QTL. These QTL increased dry biomass grain yield by 16.3 g m-2, plot yield by 28.1 g m-2, kernels spike-1 by 0.7, spikes m-2 by 14.8, thousand kernel weight by 0.9 g with favorable alleles from either parent. TAM 112 alleles mainly increased spikes m-2 and thousand kernel weight while TMA 111 alleles increased kernels spike-1, harvest index and grain yield. The saturated genetic map and markers linked to significant QTL from this study will be very useful in developing high throughput genotyping markers for tracking the desirable haplotypes of these important yield-related traits in popular parental cultivars. SN - 1932-6203 UR - https://www.unboundmedicine.com/medline/citation/33264303/Genome_wide_identification_of_QTL_associated_with_yield_and_yield_components_in_two_popular_wheat_cultivars_TAM_111_and_TAM_112_ L2 - https://dx.plos.org/10.1371/journal.pone.0237293 DB - PRIME DP - Unbound Medicine ER -