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Self-Incompatibility in the Brassicaceae

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Genetics and Genomics of the Brassicaceae

Part of the book series: Plant Genetics and Genomics: Crops and Models ((PGG,volume 9))

Abstract

Flowering plants have evolved several mechanisms for controlling pollination. Genetic self-incompatibility is one of the most elaborate and “smart” systems known to date. In the Brassicaceae, recognition of “self” pollen in the self-incompatibility response is based on highly specific interactions between matched stigma surface receptors and pollen coat ligands encoded by haplotypes of the S locus, which triggers arrest of pollen tube development. This chapter presents a brief historical account of the analysis of SI in the Brassicaceae, an overview of our current understanding of the recognition and response phases of SI, and a summary of progress made in elucidating the genetic basis of loss of SI and switches to self-fertility in various lineages, with an emphasis on knowledge gained from analysis of a recently developed transgenic Arabidopsis thaliana self-incompatible model.

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Abbreviations

ARC1:

Arm-repeat containing protein 1

CVR:

C-terminal variable region

EGF:

Epidermal growth factor

eSRK:

Soluble form of the extracellular domain of SRK

hvI, hvII, hvIII:

Hypervariable regions I, II, III

KAPP:

Kinase-associated protein phosphatase

MLPK:

M locus protein kinase

RLK:

Receptor-like kinase

RLP:

Receptor-like protein

SCR:

S-locus cystine-rich protein

SI:

Self-incompatibility

SLG:

S-locus glycoprotein

S locus:

Self-incompatibility locus

SRK:

S-locus receptor kinase

THL:

Thioredoxin h-like

U-box:

A sequence motif characteristic of a family of E3 ligases

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Acknowledgment

Research in the author’s laboratory is supported by grants from the United States National Science Foundation and Department of Agriculture.

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Correspondence to June B. Nasrallah .

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Nasrallah, J.B. (2011). Self-Incompatibility in the Brassicaceae. In: Schmidt, R., Bancroft, I. (eds) Genetics and Genomics of the Brassicaceae. Plant Genetics and Genomics: Crops and Models, vol 9. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7118-0_14

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