Presentation is loading. Please wait.

Presentation is loading. Please wait.

Mapping Autotetraploid Alfalfa Joseph G. Robins and E. Charles Brummer.

Similar presentations


Presentation on theme: "Mapping Autotetraploid Alfalfa Joseph G. Robins and E. Charles Brummer."— Presentation transcript:

1 Mapping Autotetraploid Alfalfa Joseph G. Robins and E. Charles Brummer

2 Objective Determine the genetic basis of forage yield in alfalfa. 1)Develop a genetic linkage map of tetraploid alfalfa. 2)Map quantitative trait loci (QTL) associated with forage yield. 3)Implement a marker-assisted selection (MAS) program for alfalfa improvement. Robins and Brummer. CAIC

3 Problem Lack of gain in alfalfa forage yield since the early 1980s. Robins and Brummer. CAIC Courtesy: Riday and Brummer, 2002.

4 Autopolyploid Genetics Forage yield gain is complicated by the complexities of alfalfa genetics. 1)Complementary gene action (Bingham et al. 1994). 2)Irregular meiosis, when compared to diploids, with non-conventional segregation patterns. a)Potential multivalent pairing. b)Potential double reduction. Robins and Brummer. CAIC

5 Our Approach A potential solution is to identify genomic regions associated with forage yield. 1)Create genetic map of a segregating population using molecular markers. 2)Combine marker and phenotype data to identify associations between markers and phenotype (QTL) 3)Utilize QTL in a marker-assisted breeding program to increase forage yield. Robins and Brummer. CAIC

6 Experiment Created F 1 mapping population by crossing WISFAL-6 (M. sativa subsp. falcata) x ABI-408 (M. sativa subsp. sativa). 1)Placed at Ames, IA, Nashua, IA & Ithaca, NY for forage yield analysis from )Measurements were also taken for a variety of other traits. 3)Lsmeans across years and locations. Robins and Brummer. CAIC

7 Forage Yield Results Population exhibits large amount of genetic variation for forage yield. 1)Broad-sense heritability = 0.57 ± a)H 2 = σ 2 G / σ 2 P. Where σ 2 G = σ 2 A + σ 2 D + σ 2 F + σ 2 T + σ 2 I. a)Based on entry means across years and locations. 2)Identified high and low transgressive segregants. Robins and Brummer. CAIC

8 Genetic Mapping Developed a genetic map of the population using RFLPs, AFLPs, and SSRs. Robins and Brummer. CAIC )Autopolyploid genetics complicate mapping. 2)Used RFLPs, AFLPs, and SSRs. a)Single and double dose alleles. 3)Developed maps of both parents.

9 Mapping Summary Both parental maps are preliminary and currently composed of fourteen consensus linkage groups. 1)ABI-408: 120 RFLPs, 201 AFLPs, 7 SSRs a)179 single-dose, 32 double-dose, 120 distorted. 2)WISFAL-6: 106 RFLPs, 139 AFLPs, 4 SSRs a)115 single-dose, 50 double-dose, 84 distorted. Robins and Brummer. CAIC

10 Utilized single-marker analysis (ANOVA) to identify molecular markers significantly associated with forage yield. 1)ABI-408: Identification of three potential forage yield QTL. 2)WISFAL-6: Identification of two potential forage yield QTL. QTL Analysis Robins and Brummer. CAIC

11 Possible QTL Robins and Brummer. CAIC Associations based on average forage yield (g plant -1 ) across locations and years. ParentMarkerYield (marker present/absent)P-value ABI-408UGA189a175 / Vg2D11a174 / AGC/CAC / WISFAL-6Vg2D11186 / UGA83185 /

12 ABI-408 QTL Mapping Markers (highlighted in red) associated with forage yield in the sativa parent. Robins and Brummer. CAIC Only three of fourteen consensus linkage groups shown.

13 UGA85b 0.0 UGA ACG/CTA ACG/CTG AGC/CTT UGA UGA UGA UGA189a92.3 UGA UGA RC2B-63BV ARC3D afct AGC/CTT ACG/CTG AGC/CTT UGA Vg2D ACG/CTG afctt ACG/CAC324 UGA afct MSAICB RC-1-51dT23V20 UGA WISFAL-6 QTL Mapping Markers (highlighted in red) associated with forage yield in the falcata parent. Robins and Brummer. CAIC Only two of fourteen consensus linkage groups shown.

14 QTL x Environment Our next step will be to analyze QTL as they change over the different locations and years. 1)The extent of our phenotypic data will allow us to identify QTL that are specific to individual locations, years, or location/year combinations. 2)This should allow us to identify QTL that are important in the developmental process of alfalfa (as the plant ages, it is possible that QTL may change) and QTL that are or are not influenced by environmental factors. 3)We hope to have results from these analyses shortly. Robins and Brummer. CAIC

15 Summary We have: 1)Developed preliminary linkage maps of ABI-408 and WISFAL-6. a)We are continuing to add SSRs. 2)Used single-marker analysis to identify potential QTL associated with forage yield in both parents. a)Associations will be further verified with permutation testing. 3)We then hope to incorporate the results for alfalfa forage yield improvement. Robins and Brummer. CAIC

16 Dr. Charlie Brummer Dr. Diane Luth Dr. Heathcliffe Riday Meenakshi Santra Baldomero Alarcón-Zúñiga ISU-Forage Breeding Group Acknowledgements Iowa State University Plant Science Institute USDA-NRI Competitive Grants Program Robins and Brummer. CAIC


Download ppt "Mapping Autotetraploid Alfalfa Joseph G. Robins and E. Charles Brummer."

Similar presentations


Ads by Google