Paper record
Nighttime Fluorescence Phenotyping Reduces Environmental Variability for Photosynthetic Traits and Enables the Identification of Candidate Loci in Maize
Research Square · 11 Nov 2024 · 10.21203/rs.3.rs-5290341/v1
Abstract
Abstract High-throughput phenotyping is crucial for unraveling the genetic basis of variation in photosynthetic activity. However, the heritability of chlorophyll fluorescence parameters measured during the day is often low as a result of high levels of variation introduced by environmental fluctuations. To address these limitations, we measured fluorescence phenotypes at night, leveraging natural dark adaptation to minimize environmental noise. This significantly increased the heritability of fluorescence traits compared to daytime measurements, with the maximum quantum yield of photosystem II ( F v /F m ) showing an increase in heritability from 0.32 to 0.72. Genome-wide association studies (GWAS) conducted using three photosynthetic fluorescence traits measured at night across two growing seasons identified several significant single nucleotide polymorphisms (SNPs). Notably, two candidate genes near SNPs linked to multiple fluorescence traits, Zm00001eb271820 and Zm00001eb012130 , have known roles in photosynthesis regulation. Four of the significant signal nucleotide polymorphisms identified in GWAS conducted using nighttime collected data also exhibited statistically significant associations with the same phenotypes during the day. In a majority of other cases, direction of effect was consistent but greater variance in day measured data relative to night measured data resulted in the differences not being statistically significant. These results highlight the effectiveness of phenotyping photosynthetic traits at night in reducing environmental noise and enhancing the discovery of genomic intervals related to photosynthesis. While nighttime data collection may not be applicable for all photosynthetic traits, it offers a promising avenue for advancing our understanding of the genetic variation of photosynthesis in modern crop species.
Code and data availability
The supplied blocks describe field fluorescence phenotyping, BLUP calculation with SpATS, and GWAS with rMVP/FarmCPU, but contain no data availability statement, deposited phenotype dataset, or author analysis code with a public URL. All cited URLs are references to prior work or generic tools, not paper-specific repro
No evidence-backed public reproduction asset is currently recorded.
Other versions of this study