Plant Cell & EnvironmentPlant BiologyPeer-reviewed journal article
Genome-wide association study elucidates the genetic architecture of manganese tolerance in Brassica napus
Harsh RamaniD, Zetao BaiiD, Brett McVittieiD, Sourav MukherjeeiD, Hugh Douglas GooldiD, Yuanyuan ZhangiD, Nay Chi KhiniD, Yu QiuiD, Nawar ShamayaiD, Shengyi LiuiD, Régine DelourmeiD, Barry James PogsoniD, Sureshkumar BalasubramanianiD, Rosy RamaniD
Abstract
Brassica napus (canola) is a significant contributor to the worlds oil production and is cultivated across continents, yet acidic soils with Al3+ and Mn2+ toxicities limit its production. The genetic determinants underlying acidic soil tolerance in canola are unknown and require to be uncovered for canola breeding and production. Here, through comprehensive phenotyping, whole genome resequencing, and genome-wide association analysis, we identified three QTLs for tolerance to Mn2+ toxicity on chromosomes A09, C03, and C09. Allelism tests between four tolerance sources confirmed that at least one locus on A09 controls Mn2+ tolerance in B. napus. Integrated analysis of genomic and expression QTL and Mn2+ tolerance data reveals that BnMTP8.A09, in conjunction with BnMATE.C03, BnMTP8.C04 and BnMTP8.C08, play a central role in conferring Mn2+ tolerance in B. napus. Gene expression analysis revealed a high correlation (R2 = 0.74) between Mn2+ tolerance and the BnMTP8.A09 expression. Yeast complementation assays show that BnMTP8.A09 can complement manganese-hypersensitive yeast mutant strain PMR1{Delta} and restore Mn2+ tolerance to wild-type levels. Inductively coupled plasma mass spectrometry revealed that Mn2+ tolerant accessions accumulate less Mn in the shoots compared to Mn2+ sensitives, suggesting that the BnMTP8.A09 transporter likely sequesters Mn2+ into the tonoplast. Taken together, our research unveils the genetic architecture of Mn2+ tolerance and identifies BnMTP8.A09 as a major gene imparting tolerance to Mn2+ toxicity in B. napus.
- organism: Arabidopsis
- assay: whole-genome sequencing
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 3
- FWCI
- 1.21
- Field percentile
- top 27%
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