Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne) by quantitative trait loci analysis and comparative genetics

I. P. Armstead; L. B. Turner; A. H. Marshall; M. O. Humphreys; I. P. King; D. Thorogood

doi:10.1111/j.1469-8137.2008.02413.x

Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne) by quantitative trait loci analysis and comparative genetics

I. P. Armstead, L. B. Turner, A. H. Marshall, M. O. Humphreys, I. P. King, D. Thorogood

Department of Life Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

Mutational load and resource allocation factors and their effects on limiting seed set were investigated in ryegrass by comparative mapping genomics and quantitative trait loci (QTL) analysis in two perennial ryegrass (Lolium perenne) mapping families sharing common genetic markers.

Quantitative trait loci for seed-set were identified on chromosome (LG) 7 in both families and on LG4 of the F2/WSC family. On LG7, seed-set and heading date QTLs colocalized in both families and cannot be unequivocally resolved. Comparative genomics suggests that the LG7 region is syntenous to a region of rice LG6 which contains both fertility (S5n) and heading date (Hd1, Hd3a) candidate genes. The LG4 region is syntenous to a region of rice LG3 which contains a fertility (S33) candidate gene. QTL maxima for seed-set and heading date on LG4 in the F2/WSC family are separated by c. 8 cm, indicating distinct genetic control.

Low seed set is under the control of recessive genes at both LG4 and LG7 locations.

The identification of QTLs associated with seed set, a major component of seed yield in perennial ryegrass, indicates that mutational load associated with these genomic regions can be mitigated through marker-assisted selection.

Original language	English
Pages (from-to)	559-571
Number of pages	13
Journal	New Phytologist
Volume	178
Issue number	3
Early online date	11 Mar 2008
DOIs	https://doi.org/10.1111/j.1469-8137.2008.02413.x
Publication status	Published - May 2008

Keywords

candidate gene
comparative genomics
mutational load
quantitative trait loci (QTLs)
resource allocation
rice
seed set
synteny

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Armstead, I. P., Turner, L. B., Marshall, A. H., Humphreys, M. O., King, I. P., & Thorogood, D. (2008). Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne) by quantitative trait loci analysis and comparative genetics. New Phytologist, 178(3), 559-571. https://doi.org/10.1111/j.1469-8137.2008.02413.x

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title = "Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne) by quantitative trait loci analysis and comparative genetics",

abstract = "Mutational load and resource allocation factors and their effects on limiting seed set were investigated in ryegrass by comparative mapping genomics and quantitative trait loci (QTL) analysis in two perennial ryegrass (Lolium perenne) mapping families sharing common genetic markers.Quantitative trait loci for seed-set were identified on chromosome (LG) 7 in both families and on LG4 of the F2/WSC family. On LG7, seed-set and heading date QTLs colocalized in both families and cannot be unequivocally resolved. Comparative genomics suggests that the LG7 region is syntenous to a region of rice LG6 which contains both fertility (S5n) and heading date (Hd1, Hd3a) candidate genes. The LG4 region is syntenous to a region of rice LG3 which contains a fertility (S33) candidate gene. QTL maxima for seed-set and heading date on LG4 in the F2/WSC family are separated by c. 8 cm, indicating distinct genetic control.Low seed set is under the control of recessive genes at both LG4 and LG7 locations.The identification of QTLs associated with seed set, a major component of seed yield in perennial ryegrass, indicates that mutational load associated with these genomic regions can be mitigated through marker-assisted selection.",

keywords = "candidate gene, comparative genomics, mutational load, quantitative trait loci (QTLs), resource allocation, rice, seed set, synteny",

author = "Armstead, {I. P.} and Turner, {L. B.} and Marshall, {A. H.} and Humphreys, {M. O.} and King, {I. P.} and D. Thorogood",

note = "Armstead, I. P., Turner, L. B., Marshall, A. H., Humphreys, M. O., King, I. P., Thorogood, D. (2008). Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne L.) by quantitative trait loci analysis and comparative genomics. New Phytologist, 178, (3), 559-571. Sponsorship: BBSRC Online early IMPF: 05.18 RONO: 1310 3001",

year = "2008",

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doi = "10.1111/j.1469-8137.2008.02413.x",

language = "English",

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AU - Armstead, I. P.

AU - Turner, L. B.

AU - Marshall, A. H.

AU - Humphreys, M. O.

AU - King, I. P.

AU - Thorogood, D.

N1 - Armstead, I. P., Turner, L. B., Marshall, A. H., Humphreys, M. O., King, I. P., Thorogood, D. (2008). Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne L.) by quantitative trait loci analysis and comparative genomics. New Phytologist, 178, (3), 559-571. Sponsorship: BBSRC Online early IMPF: 05.18 RONO: 1310 3001

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N2 - Mutational load and resource allocation factors and their effects on limiting seed set were investigated in ryegrass by comparative mapping genomics and quantitative trait loci (QTL) analysis in two perennial ryegrass (Lolium perenne) mapping families sharing common genetic markers.Quantitative trait loci for seed-set were identified on chromosome (LG) 7 in both families and on LG4 of the F2/WSC family. On LG7, seed-set and heading date QTLs colocalized in both families and cannot be unequivocally resolved. Comparative genomics suggests that the LG7 region is syntenous to a region of rice LG6 which contains both fertility (S5n) and heading date (Hd1, Hd3a) candidate genes. The LG4 region is syntenous to a region of rice LG3 which contains a fertility (S33) candidate gene. QTL maxima for seed-set and heading date on LG4 in the F2/WSC family are separated by c. 8 cm, indicating distinct genetic control.Low seed set is under the control of recessive genes at both LG4 and LG7 locations.The identification of QTLs associated with seed set, a major component of seed yield in perennial ryegrass, indicates that mutational load associated with these genomic regions can be mitigated through marker-assisted selection.

AB - Mutational load and resource allocation factors and their effects on limiting seed set were investigated in ryegrass by comparative mapping genomics and quantitative trait loci (QTL) analysis in two perennial ryegrass (Lolium perenne) mapping families sharing common genetic markers.Quantitative trait loci for seed-set were identified on chromosome (LG) 7 in both families and on LG4 of the F2/WSC family. On LG7, seed-set and heading date QTLs colocalized in both families and cannot be unequivocally resolved. Comparative genomics suggests that the LG7 region is syntenous to a region of rice LG6 which contains both fertility (S5n) and heading date (Hd1, Hd3a) candidate genes. The LG4 region is syntenous to a region of rice LG3 which contains a fertility (S33) candidate gene. QTL maxima for seed-set and heading date on LG4 in the F2/WSC family are separated by c. 8 cm, indicating distinct genetic control.Low seed set is under the control of recessive genes at both LG4 and LG7 locations.The identification of QTLs associated with seed set, a major component of seed yield in perennial ryegrass, indicates that mutational load associated with these genomic regions can be mitigated through marker-assisted selection.

KW - candidate gene

KW - comparative genomics

KW - mutational load

KW - quantitative trait loci (QTLs)

KW - resource allocation

KW - rice

KW - seed set

KW - synteny

UR - http://hdl.handle.net/2160/2286

U2 - 10.1111/j.1469-8137.2008.02413.x

DO - 10.1111/j.1469-8137.2008.02413.x

M3 - Article

C2 - 18346108

SN - 0028-646X

VL - 178

SP - 559

EP - 571

JO - New Phytologist

JF - New Phytologist

IS - 3

ER -

Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne) by quantitative trait loci analysis and comparative genetics

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Keywords

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Grass Genomics & Genetics

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Identifying genetic components controlling fertility in the outcrossing grass species perennial ryegrass (Lolium perenne) by quantitative trait loci analysis and comparative genetics

Abstract

Keywords

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